CiteNScope — Scholarly Index & Analytics
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Understand the reach.

Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 4/4 recordsLast OpenAlex observation 21 Oct 2026, 07:22 UTC
PUBLICATIONS4In the selected collection
CROSSREF CITATIONS384/4 with known counts
OPENALEX CITATIONS534/4 with known counts
OPENALEX MEAN13.25Per article with a known count
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institution: Huazhong University of Science and Technology Remove ×topic: Technology Adoption and User Behaviour Remove ×
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

View data & coverage

Citations received

OpenAlex · year of the citing work

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Huazhong University of Science and Technology4Bacha Khan University1North South University14/4 records with data

Countries

China4Bangladesh1Pakistan14/4 records with data

Primary topics

Technology Adoption and User Behaviour44/4 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

Crossref and OpenAlex · separate totals for the same publication cohorts

Hover over a year or focus the chart and use arrow keys to inspect values.

Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.

View data & coverage

Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

View data & coverage
Annual history: 4/4 articles. Latest history observation: 2026-10-21T07:22:52.661567+00:00. Source totals are never added together.
Research side by side

Compare journals

Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
International Journal of Research in Business and Social Science

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.

Full analytics report All distributions, publications, comparisons & data provenance
4 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS4
CROSSREF CITATIONS38
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS9.5

Crossref citation coverage: 4 / 4 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS53
DOI MATCH COVERAGE100.0%4 / 4 publications
MEAN · KNOWN COUNTS ONLY13.254 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY11.5

Observation range: 21 Oct 2026 00:49 UTC — 21 Oct 2026 07:22 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–516–20221+1Unknown0

Institutions, countries & topics

OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.

Institutions

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.

Countries

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.

Primary topics

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.

Citation year / OpenAlex

Citations received over time

Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.

The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.

Annual history available for 4 / 4 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.

Annual-history observations (UTC): 2026-10-21T00:49:32.504176+00:00 — 2026-10-21T07:22:52.661567+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

115.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42020 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 4/42021 · All selected publications · OpenAlex · Citations received by year: 8 · Annual history coverage 4/42022 · All selected publications · OpenAlex · Citations received by year: 10 · Annual history coverage 4/42023 · All selected publications · OpenAlex · Citations received by year: 10 · Annual history coverage 4/42024 · All selected publications · OpenAlex · Citations received by year: 11 · Annual history coverage 4/42025 · All selected publications · OpenAlex · Citations received by year: 7 · Annual history coverage 4/42026 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 4/4 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications044/4
2018All selected publications044/4
2019All selected publications044/4
2020All selected publications444/4
2021All selected publications844/4
2022All selected publications1044/4
2023All selected publications1044/4
2024All selected publications1144/4
2025All selected publications744/4
2026All selected publications344/4

Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean9.5
Median8.0
No citations01–516–20221+1Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
International Journal of Research in Business and Social Science
SSBFNET
438534/49.58.0100.04/4 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 4 →

Most cited · Crossref

JOURNAL ARTICLE

Perception and prediction of intention to use online banking systems

Sk Alamgir Hossain · Yukun Bao · Najmul Hasan · Md Farijul Islam

International Journal of Research in Business and Social Science · 2020

Read abstract

Online banking has become a vital instrument for delivering quality and easily reached banking services at the lowest possible time with ensuring affordability both for customers and service providers. Although this banking has huge potentials and benefits, the successful adoption of online banking remains a significant challenge in the context of an emerging economy like Bangladesh. The purpose of this empirical study is to investigate the factors influencing the online banking services adoption in Bangladesh by using the extended Technology Acceptance Model (TAM) with government support and risk factors. A questionnaire survey method was used to collect data from 380 banking customers.  To analyse the collected survey data and test the set of hypothesis, a structural equation modelling (SEM) method was used with the help of SmartPLS3 package. The results illustrate that perceived ease of use, perceived usefulness, attitude towards use, government support positively influence the intention to use as well as the intention to use positively impact on intention to continue to the adoption of online banking services. However, the relationship between risk and intention to use was statistically insignificant. Finally, the findings may assist banking professionals and programmers to develop and design successful policies regarding online banking services to boost this service industry in the future.

DOI 10.20525/ijrbs.v9i1.59121 Crossref citations28 OpenAlex citations
JOURNAL ARTICLE

Predicting user perceived satisfaction and reuse intentions toward Massive Open Online Courses (MOOCs) in the Covid-19 pandemic

Qing Wang · Muhammad Saqib Khan · Muhammad Kamran Khan

International Journal of Research in Business and Social Science · 2021

Read abstract

The Covid-19 pandemic restricted the people around the world's boundaries. Therefore, online learning's importance increased in the current era, an essential topic for current research. Students are actively using Massive Open Online Courses (MOOCs) while restricted at their homes during the Covid-19 pandemic. This research investigates the Unified Theory of Acceptance and Use of Technology model (UTAUT) and quality factors to predict the users perceived satisfaction and reuse intentions toward MOOCs in the Covid-19 pandemic. We collected data from three public universities in Wuhan, China and 298 users who were actively using MOOCs participated in this research. The proposed hypotheses were tested by using PLS-SEM. The findings revealed that effort expectancy and social influence directly impacted users' reuse intentions while performance expectancy and perceived course quality positively impacted users' reuse intentions through perceived satisfaction toward MOOCs. This research found the critical role of perceived satisfaction in the current pandemic era. Finally, this research provides important theoretical implications for the researchers and practical implications for the developers, technologists, and policymakers for developing effective systems and strategies in online environments. In addition, this study revealed some limitations and future research guidelines for the researchers.

DOI 10.20525/ijrbs.v10i2.10459 Crossref citations15 OpenAlex citations
JOURNAL ARTICLE

Why do citizens use e-tax system?

Md Faridur Rahman · Md. Shamim Talukder · Yang Lanrong · Abul Khayer

International Journal of Research in Business and Social Science · 2020

Read abstract

Among the various online services provided by the government, e-tax system is one of the commonly used e-government platforms, which offers significant benefits to government and citizens by reducing costs, eliminate human errors, and reduce the turnaround time for processing income tax returns. Despite these plausible benefits, some reservations have been articulated regarding the continuance usage intention of e-tax system. Thus, we investigate the most critical factors of e-tax continuance usage in this paper. We developed an integrated theoretical model based on the technology continuance theory (TCT) extended with social influence and perceived risk. The proposed conceptual model was empirically validated with data collected from a sample of 345 e-tax service users in Bangladesh. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the collected data. The study findings suggest that user satisfaction, perceived usefulness, and attitude have a direct impact on continuance usage intention where confirmation, ease of use and social influence have indirect influence on continuance usage intention of e-tax system. This paper discusses some contributions to theory and practice based on our findings

DOI 10.20525/ijrbs.v9i7.9467 Crossref citations8 OpenAlex citations
JOURNAL ARTICLE

Attributes of innovation and adoption of mobile banking in Egypt

Osama Elbayoumy · Xiu-Hao Ding

International Journal of Research in Business and Social Science · 2023

Read abstract

While studying the adoption of mobile banking, its antecedents must be considered to have a better understanding and complete picture of the factors affecting the adoption of mobile banking. There is a scarcity of studies about the effect of the (Rogers, 1995, 2003) five attributes of innovation on the adoption of mobile banking. So, this paper examined the effect of relative advantage, compatibility, complexity, trialability, and observability on the adoption of mobile banking in Egypt. The study hypotheses were tested using primary data collected online. The results show that relative advantage, compatibility, and observability have a significant positive impact on the adoption of mobile banking. On the other hand, the effect of complexity and trialability on the adoption of mobile banking was negative but nonsignificant.

DOI 10.20525/ijrbs.v12i9.30401 Crossref citations2 OpenAlex citations

Selected results

JOURNAL ARTICLE

Attributes of innovation and adoption of mobile banking in Egypt

Osama Elbayoumy · Xiu-Hao Ding

International Journal of Research in Business and Social Science · 2023

Read abstract

While studying the adoption of mobile banking, its antecedents must be considered to have a better understanding and complete picture of the factors affecting the adoption of mobile banking. There is a scarcity of studies about the effect of the (Rogers, 1995, 2003) five attributes of innovation on the adoption of mobile banking. So, this paper examined the effect of relative advantage, compatibility, complexity, trialability, and observability on the adoption of mobile banking in Egypt. The study hypotheses were tested using primary data collected online. The results show that relative advantage, compatibility, and observability have a significant positive impact on the adoption of mobile banking. On the other hand, the effect of complexity and trialability on the adoption of mobile banking was negative but nonsignificant.

DOI 10.20525/ijrbs.v12i9.30401 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Predicting user perceived satisfaction and reuse intentions toward Massive Open Online Courses (MOOCs) in the Covid-19 pandemic

Qing Wang · Muhammad Saqib Khan · Muhammad Kamran Khan

International Journal of Research in Business and Social Science · 2021

Read abstract

The Covid-19 pandemic restricted the people around the world's boundaries. Therefore, online learning's importance increased in the current era, an essential topic for current research. Students are actively using Massive Open Online Courses (MOOCs) while restricted at their homes during the Covid-19 pandemic. This research investigates the Unified Theory of Acceptance and Use of Technology model (UTAUT) and quality factors to predict the users perceived satisfaction and reuse intentions toward MOOCs in the Covid-19 pandemic. We collected data from three public universities in Wuhan, China and 298 users who were actively using MOOCs participated in this research. The proposed hypotheses were tested by using PLS-SEM. The findings revealed that effort expectancy and social influence directly impacted users' reuse intentions while performance expectancy and perceived course quality positively impacted users' reuse intentions through perceived satisfaction toward MOOCs. This research found the critical role of perceived satisfaction in the current pandemic era. Finally, this research provides important theoretical implications for the researchers and practical implications for the developers, technologists, and policymakers for developing effective systems and strategies in online environments. In addition, this study revealed some limitations and future research guidelines for the researchers.

DOI 10.20525/ijrbs.v10i2.10459 Crossref citations15 OpenAlex citations
JOURNAL ARTICLE

Why do citizens use e-tax system?

Md Faridur Rahman · Md. Shamim Talukder · Yang Lanrong · Abul Khayer

International Journal of Research in Business and Social Science · 2020

Read abstract

Among the various online services provided by the government, e-tax system is one of the commonly used e-government platforms, which offers significant benefits to government and citizens by reducing costs, eliminate human errors, and reduce the turnaround time for processing income tax returns. Despite these plausible benefits, some reservations have been articulated regarding the continuance usage intention of e-tax system. Thus, we investigate the most critical factors of e-tax continuance usage in this paper. We developed an integrated theoretical model based on the technology continuance theory (TCT) extended with social influence and perceived risk. The proposed conceptual model was empirically validated with data collected from a sample of 345 e-tax service users in Bangladesh. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the collected data. The study findings suggest that user satisfaction, perceived usefulness, and attitude have a direct impact on continuance usage intention where confirmation, ease of use and social influence have indirect influence on continuance usage intention of e-tax system. This paper discusses some contributions to theory and practice based on our findings

DOI 10.20525/ijrbs.v9i7.9467 Crossref citations8 OpenAlex citations
JOURNAL ARTICLE

Perception and prediction of intention to use online banking systems

Sk Alamgir Hossain · Yukun Bao · Najmul Hasan · Md Farijul Islam

International Journal of Research in Business and Social Science · 2020

Read abstract

Online banking has become a vital instrument for delivering quality and easily reached banking services at the lowest possible time with ensuring affordability both for customers and service providers. Although this banking has huge potentials and benefits, the successful adoption of online banking remains a significant challenge in the context of an emerging economy like Bangladesh. The purpose of this empirical study is to investigate the factors influencing the online banking services adoption in Bangladesh by using the extended Technology Acceptance Model (TAM) with government support and risk factors. A questionnaire survey method was used to collect data from 380 banking customers.  To analyse the collected survey data and test the set of hypothesis, a structural equation modelling (SEM) method was used with the help of SmartPLS3 package. The results illustrate that perceived ease of use, perceived usefulness, attitude towards use, government support positively influence the intention to use as well as the intention to use positively impact on intention to continue to the adoption of online banking services. However, the relationship between risk and intention to use was statistically insignificant. Finally, the findings may assist banking professionals and programmers to develop and design successful policies regarding online banking services to boost this service industry in the future.

DOI 10.20525/ijrbs.v9i1.59121 Crossref citations28 OpenAlex citations

Data coverage & freshness

Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.

Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:55 UTC · ijrbscomplete · ijrbs · 20 Oct 2026 19:50 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
Full import history & methodology →