Fei Shu
Impact in
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- scientometrics and bibliometrics research
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- Academic Publishing and Open Access
Papers in
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- scientometrics and bibliometrics research 29
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- Research Data Management Practices 8
- Web visibility and informetrics 6
- Co-authors
- Bikun Chen (3 shared papers)Vincent Larivière (15 shared papers)Junping Qiu (8 shared papers)Stefanie Haustein (4 shared papers)Philippe Mongeon (6 shared papers)Cassidy R. Sugimoto (2 shared papers)Lin Zhang (2 shared papers)Jing Zhang (1 shared paper)
- Journals
- Scientometrics (11 papers)Journal of Informetrics (3 papers)Journal of Education for Library and Information Science (3 papers)Aslib Journal of Information Management (2 papers)Quantitative Science Studies (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Fei Shu
47 papers receiving 811 citations
Peers
Comparison fields: 5 of 111
- Statistics, Probability and Uncertainty 398
- Information Systems and Management 159
- Health Informatics 19
- Library and Information Sciences 14
- General Social Sciences 28
Countries citing papers authored by Fei Shu
This map shows the geographic impact of Fei Shu'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 Fei Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Shu more than expected).
Fields of papers citing papers by Fei Shu
This network shows the impact of papers produced by Fei Shu. 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 Fei Shu. The network helps show where Fei Shu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Shu, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 174 | |
| 2 | 2017 | 107 | |
| 3 | 2019 | 74 | |
| 4 | 2017 | 71 | |
| 5 | 2020 | 52 | |
| 6 | 2022 | 39 | |
| 7 | 2018 | 37 | |
| 8 | 2019 | 25 | |
| 9 | 2021 | 24 | |
| 10 | 2022 | 23 | |
| 11 | 2018 | 19 | |
| 12 | 2020 | 17 | |
| 13 | 2023 | 14 | |
| 14 | 2016 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2023 | 12 | |
| 18 | 2016 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2015 | 11 |
About Fei Shu
Fei Shu is a scholar working on Statistics, Probability and Uncertainty, Information Systems, Artificial Intelligence, Information Systems and Management and Computer Networks and Communications, having authored 51 papers that have together received 844 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (29 papers), Research Data Management Practices (8 papers), Web visibility and informetrics (6 papers), Academic Publishing and Open Access (5 papers), Advanced Text Analysis Techniques (4 papers), Network Security and Intrusion Detection (3 papers), Doctoral Education Challenges and Solutions (3 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (398 citations), Information Systems and Management (159 citations), Health Informatics (19 citations), Library and Information Sciences (14 citations) and General Social Sciences (28 citations). Fei Shu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Bikun Chen, Vincent Larivière, Junping Qiu, Stefanie Haustein, Philippe Mongeon, Cassidy R. Sugimoto, Lin Zhang, Jing Zhang, Valéry Ridde and Elise Smith. Their work appears in journals such as Scientometrics, Journal of Informetrics, Journal of Education for Library and Information Science, Aslib Journal of Information Management and Quantitative Science Studies.
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.