CiteNScope — Scholarly Index & Analytics
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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 4/4 recordsLast OpenAlex observation 22 Oct 2026, 02:19 UTC
PUBLICATIONS4In the selected collection
CROSSREF CITATIONS404/4 with known counts
OPENALEX CITATIONS804/4 with known counts
OPENALEX MEAN20.0Per article with a known count
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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.

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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.

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Institutions

Huazhong University of Science and Technology2North South University1University of Brawijaya14/4 records with data

Countries

China2Indonesia2Bangladesh14/4 records with data

Primary topics

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

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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.

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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.

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Annual history: 4/4 articles. Latest history observation: 2026-10-22T02:19:13.802488+00:00. Source totals are never added together.
Research side by side

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Display range
International Journal of Finance & Banking StudiesInternational Journal of Research in Business and Social Science

Publications

Articles by publication year

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Crossref citations

Latest lifetime totals · grouped by publication year

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OpenAlex citations

Latest lifetime totals · grouped by publication year

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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 CITATIONS40
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS10.0

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 CITATIONS80
DOI MATCH COVERAGE100.0%4 / 4 publications
MEAN · KNOWN COUNTS ONLY20.04 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY21.0

Observation range: 22 Oct 2026 01:25 UTC — 22 Oct 2026 02:19 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–506–20221+2Unknown0

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): 2026-10-22T01:25:22.672677+00:00 — 2026-10-22T02:19:13.802488+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

189.00 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: 6 · Annual history coverage 4/42021 · All selected publications · OpenAlex · Citations received by year: 13 · Annual history coverage 4/42022 · All selected publications · OpenAlex · Citations received by year: 17 · Annual history coverage 4/42023 · All selected publications · OpenAlex · Citations received by year: 18 · Annual history coverage 4/42024 · All selected publications · OpenAlex · Citations received by year: 14 · Annual history coverage 4/42025 · All selected publications · OpenAlex · Citations received by year: 9 · 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 publications644/4
2021All selected publications1344/4
2022All selected publications1744/4
2023All selected publications1844/4
2024All selected publications1444/4
2025All selected publications944/4
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.

Mean10.0
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 Finance & Banking Studies
SSBFNET
13141/13.03100.01/1 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
337663/312.339100.03/3 · 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

Influence of TAM and UTAUT models of the use of e-filing on tax compliance

Henny Rakhmawati · Sutrisno Sutrisno T · M. Khoiru Rusydi

International Journal of Research in Business and Social Science · 2020

Read abstract

This study aims to examine and prove empirically the effect of perceived usefulness, perceived ease of use, social influence, facilitating conditions on tax compliance. The sample selection technique uses convenience sampling obtained 100 samples taxpayers in Directorate General of Taxation III East Java. Data analyzed using partial least square. The result shows that (1) perceived ease of use does not affect tax compliance. (2) Perceived usefulness has a positive effect on tax compliance. (3) Social influence has a positive effect on tax compliance. (4) Facilitating conditions does not affect tax compliance.

DOI 10.20525/ijrbs.v9i1.5769 Crossref citations30 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

Influence of Promotion Mix and Perceived Usefulness in Improving the Repurchase Intention of Linkaja Applications

Muhammad Fikri · Annisa Lisdayanti

International Journal of Finance & Banking Studies · 2020

Read abstract

The rapid development of internet technology can provide various facilities to access various activities from the internet.  One of the activities that can be done from the internet is to make payments on a non-cash basis or commonly called an e-wallet.  Linkaja is one of the e-wallets established by the merger of five State-Owned Enterprises in one platform, namely PT Telekomunikasi Seluler, Bank Mandiri, Bank Rakyat Indonesia, Bank Negara Indonesia, Bank Tabungan Negara, PT Pertamina and also PT Asuransi Jiwasraya.  This study aims to determine the influence of promotion mix and benefits of perception in increasing re-use of linkaja applications for consumers in the city of bandung.  The method of collecting data in this study is to use a questionnaire given to 115 respondents Linkaja users in the city of Bandung.  The data analysis technique used is linear regression model.  The results of the questionnaire were processed using the spss for windows version 25 program. The results of the study showed that the influence of the promotion mix variable on Linkaja e-wallet repurchase intention was 68.4% and for the influence of perceived usefulness variables on Linkaja e-wallet repurchase intention was 71.17%. Whereas for the simultaneous effect it was obtained the result of 51.4% and the remaining 49.6% was influenced by other factors.  

DOI 10.20525/ijfbs.v9i1.6653 Crossref citations14 OpenAlex citations

Selected results

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

Influence of Promotion Mix and Perceived Usefulness in Improving the Repurchase Intention of Linkaja Applications

Muhammad Fikri · Annisa Lisdayanti

International Journal of Finance & Banking Studies · 2020

Read abstract

The rapid development of internet technology can provide various facilities to access various activities from the internet.  One of the activities that can be done from the internet is to make payments on a non-cash basis or commonly called an e-wallet.  Linkaja is one of the e-wallets established by the merger of five State-Owned Enterprises in one platform, namely PT Telekomunikasi Seluler, Bank Mandiri, Bank Rakyat Indonesia, Bank Negara Indonesia, Bank Tabungan Negara, PT Pertamina and also PT Asuransi Jiwasraya.  This study aims to determine the influence of promotion mix and benefits of perception in increasing re-use of linkaja applications for consumers in the city of bandung.  The method of collecting data in this study is to use a questionnaire given to 115 respondents Linkaja users in the city of Bandung.  The data analysis technique used is linear regression model.  The results of the questionnaire were processed using the spss for windows version 25 program. The results of the study showed that the influence of the promotion mix variable on Linkaja e-wallet repurchase intention was 68.4% and for the influence of perceived usefulness variables on Linkaja e-wallet repurchase intention was 71.17%. Whereas for the simultaneous effect it was obtained the result of 51.4% and the remaining 49.6% was influenced by other factors.  

DOI 10.20525/ijfbs.v9i1.6653 Crossref citations14 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
JOURNAL ARTICLE

Influence of TAM and UTAUT models of the use of e-filing on tax compliance

Henny Rakhmawati · Sutrisno Sutrisno T · M. Khoiru Rusydi

International Journal of Research in Business and Social Science · 2020

Read abstract

This study aims to examine and prove empirically the effect of perceived usefulness, perceived ease of use, social influence, facilitating conditions on tax compliance. The sample selection technique uses convenience sampling obtained 100 samples taxpayers in Directorate General of Taxation III East Java. Data analyzed using partial least square. The result shows that (1) perceived ease of use does not affect tax compliance. (2) Perceived usefulness has a positive effect on tax compliance. (3) Social influence has a positive effect on tax compliance. (4) Facilitating conditions does not affect tax compliance.

DOI 10.20525/ijrbs.v9i1.5769 Crossref citations30 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 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
Full import history & methodology →