Junping Qiu
Impact in
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- scientometrics and bibliometrics research
Papers in
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- Web visibility and informetrics 10
- Web Data Mining and Analysis 7
- Research Data Management Practices 5
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- scientometrics and bibliometrics research 19
- Co-authors
- Vincent Larivière (7 shared papers)Houqiang Yu (4 shared papers)Fei Shu (8 shared papers)Ke Dong (2 shared papers)Siluo Yang (6 shared papers)Shiji Chen (5 shared papers)Jing Zhang (1 shared paper)Ruimin Ma (2 shared papers)
- Journals
- Scientometrics (14 papers)Library Hi Tech (5 papers)IEEE Access (3 papers)Aslib Journal of Information Management (3 papers)Online Information Review (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Junping Qiu
56 papers receiving 734 citations
Peers
Comparison fields: 5 of 134
- Statistics, Probability and Uncertainty 224
- Information Systems and Management 85
- Information Systems 167
- Communication 44
- Statistical and Nonlinear Physics 67
Countries citing papers authored by Junping Qiu
This map shows the geographic impact of Junping Qiu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junping Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junping Qiu more than expected).
Fields of papers citing papers by Junping Qiu
This network shows the impact of papers produced by Junping Qiu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junping Qiu. The network helps show where Junping Qiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junping Qiu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 74 | |
| 2 | 2014 | 63 | |
| 3 | 2014 | 55 | |
| 4 | 2020 | 54 | |
| 5 | 2020 | 52 | |
| 6 | 2020 | 39 | |
| 7 | 2012 | 29 | |
| 8 | 2008 | 29 | |
| 9 | 2009 | 27 | |
| 10 | 2013 | 27 | |
| 11 | 2004 | 23 | |
| 12 | 2017 | 23 | |
| 13 | 2019 | 22 | |
| 14 | 2021 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2010 | 17 | |
| 17 | 2010 | 16 | |
| 18 | 2013 | 16 | |
| 19 | 2020 | 12 | |
| 20 | 2017 | 11 |
About Junping Qiu
Junping Qiu is a scholar working on Information Systems, Statistics, Probability and Uncertainty, Information Systems and Management, Sociology and Political Science and Artificial Intelligence, having authored 65 papers that have together received 749 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (19 papers), Web visibility and informetrics (10 papers), Complex Network Analysis Techniques (8 papers), Knowledge Management and Sharing (7 papers), Web Data Mining and Analysis (7 papers), Digital Marketing and Social Media (7 papers), Technology Adoption and User Behaviour (5 papers) and Research Data Management Practices (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (224 citations), Information Systems and Management (85 citations), Information Systems (167 citations), Communication (44 citations) and Statistical and Nonlinear Physics (67 citations). Junping Qiu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Vincent Larivière, Houqiang Yu, Fei Shu, Ke Dong, Siluo Yang, Shiji Chen, Jing Zhang, Ruimin Ma, Lin Zhang and Chaoqun Ni. Their work appears in journals such as Scientometrics, Library Hi Tech, IEEE Access, Aslib Journal of Information Management and Online Information Review.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.