CiteNScope — Scholarly Index & Analytics
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CiteNScope / Analytics

Explore the evidence.
Understand the reach.

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

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OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 22 Oct 2026, 03:19 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS123/3 with known counts
OPENALEX CITATIONS273/3 with known counts
OPENALEX MEAN9.0Per article with a known count
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institution: Huazhong Agricultural University 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.

View data & coverage
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: 3/3 articles. Latest history observation: 2026-10-22T03:19:14.895387+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
3 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS3
CROSSREF CITATIONS12
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS4.0

Crossref citation coverage: 3 / 3 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 CITATIONS27
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY9.03 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY8

Observation range: 22 Oct 2026 01:31 UTC — 22 Oct 2026 03:19 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–516–20221+0Unknown0

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

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Countries

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Primary topics

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 3 / 3 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): 2026-10-22T01:31:23.295662+00:00 — 2026-10-22T03:19:14.895387+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

73.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32021 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 3/32022 · All selected publications · OpenAlex · Citations received by year: 7 · Annual history coverage 3/32023 · All selected publications · OpenAlex · Citations received by year: 7 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 3/3 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications033/3
2018All selected publications033/3
2019All selected publications033/3
2020All selected publications033/3
2021All selected publications533/3
2022All selected publications733/3
2023All selected publications733/3
2024All selected publications433/3
2025All selected publications233/3
2026All selected publications233/3

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.

Mean4.0
Median2
No citations01–526–20121+0Unknown0

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
312273/34.02100.03/3 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

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

Impact of motivation and technology factors to predict satisfaction and continued intentions toward online courses

Qing Wang · Muhammad Saqib Khan

International Journal of Research in Business and Social Science · 2021

Read abstract

The rapid developments and diffusion of new technologies abruptly changed world dynamics. This study pursued the motivational factors (controlled and autonomous) and technology factors (perceived ease of use and perceived usefulness) to predict the students perceived satisfaction and continued intention toward MOOCs. Using an online survey, this research collected data from 333 students, and analysis performed through PLS-SEM. The findings revealed that controlled motivation positively influenced the perceived satisfaction. However, autonomous motivation positively affected students perceived satisfaction and continued intention toward MOOCs. The technology factors such as PEU strongly impacted PU. Similarly, PU positively impacted students perceived satisfaction and continued intention toward MOOCs. This research guides essential theoretical insights and provides practical guidelines to educational institutions and technologists to develop and implement systems and strategies in online environments.

DOI 10.20525/ijrbs.v10i3.11482 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

Examining the relationship between the level of logistics service quality, relationship quality and repurchase intention in e-retail sector of Pakistan

Muhammad Saqib Khan · Haijun Wang · Qing Wang · Waseem Khan

International Journal of Research in Business and Social Science · 2021

Read abstract

This study examined the relationship between the level of logistics service quality, relationship quality, and repurchase intention in the e-retail sector of Pakistan. Logistics service quality LSQ was integrated into the step-by-step purchasing process including pre-purchase, purchase, and post-purchase factors. This research is unique from existing research work as it validated a holistic model by examining the role of customer’s perception of LSQ in strengthening their RQ and subsequent purchase intentions in the e-retail logistics sector of Pakistan and draw important suggestions to enhance the competitiveness of logistics services of domestic e-retail logistic firms. A survey strategy using self-administered questionnaires was employed from customers of departmental stores, large discount stores, shopping malls & retail outlets. A total of n=241 based on a cluster of conventional retail consumers across Pakistan was drawn. The study results provide a quality framework for the management of logistics service providers working in Pakistan's e-retail industry to evaluate the strengths and limitations of their service provision and then identify areas where improvements might be needed.

DOI 10.20525/ijrbs.v10i1.10281 Crossref citations8 OpenAlex citations

Selected results

JOURNAL ARTICLE

Impact of motivation and technology factors to predict satisfaction and continued intentions toward online courses

Qing Wang · Muhammad Saqib Khan

International Journal of Research in Business and Social Science · 2021

Read abstract

The rapid developments and diffusion of new technologies abruptly changed world dynamics. This study pursued the motivational factors (controlled and autonomous) and technology factors (perceived ease of use and perceived usefulness) to predict the students perceived satisfaction and continued intention toward MOOCs. Using an online survey, this research collected data from 333 students, and analysis performed through PLS-SEM. The findings revealed that controlled motivation positively influenced the perceived satisfaction. However, autonomous motivation positively affected students perceived satisfaction and continued intention toward MOOCs. The technology factors such as PEU strongly impacted PU. Similarly, PU positively impacted students perceived satisfaction and continued intention toward MOOCs. This research guides essential theoretical insights and provides practical guidelines to educational institutions and technologists to develop and implement systems and strategies in online environments.

DOI 10.20525/ijrbs.v10i3.11482 Crossref citations4 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

Examining the relationship between the level of logistics service quality, relationship quality and repurchase intention in e-retail sector of Pakistan

Muhammad Saqib Khan · Haijun Wang · Qing Wang · Waseem Khan

International Journal of Research in Business and Social Science · 2021

Read abstract

This study examined the relationship between the level of logistics service quality, relationship quality, and repurchase intention in the e-retail sector of Pakistan. Logistics service quality LSQ was integrated into the step-by-step purchasing process including pre-purchase, purchase, and post-purchase factors. This research is unique from existing research work as it validated a holistic model by examining the role of customer’s perception of LSQ in strengthening their RQ and subsequent purchase intentions in the e-retail logistics sector of Pakistan and draw important suggestions to enhance the competitiveness of logistics services of domestic e-retail logistic firms. A survey strategy using self-administered questionnaires was employed from customers of departmental stores, large discount stores, shopping malls & retail outlets. A total of n=241 based on a cluster of conventional retail consumers across Pakistan was drawn. The study results provide a quality framework for the management of logistics service providers working in Pakistan's e-retail industry to evaluate the strengths and limitations of their service provision and then identify areas where improvements might be needed.

DOI 10.20525/ijrbs.v10i1.10281 Crossref citations8 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
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