Fei Shu

47 papers receiving 774 citations

Peers

Fei Shu
Comparison fields: 5 of 117
  • Statistics, Probability and Uncertainty 396
  • Information Systems 179
  • Information Systems and Management 158
  • Sociology and Political Science 79
  • Public Health, Environmental and Occupational Health 76
Replace Kyle Siler with:
Kyle Siler Canada
Blanca Rodríguez Bravo Spain
Qing Ke China
Christian Gumpenberger Austria
Fereshteh Didegah Iran
Chérifa Boukacem‐Zeghmouri France
Jason Priem United States
Nadine Desrochers Canada
Marzena Świgoń Poland
Fei Shu relative to Kyle Siler Canada Kyle Siler's profile →
Citations per field
00.5×1.5×2.1×
Kyle Siler · 1×
Citations per year

Countries citing papers authored by Fei Shu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Fei Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Shu. A scholar is included among the top collaborators of Fei Shu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fei Shu. Fei Shu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 21
4 2
5 4
6 17
7 2
8 7
9 2
10
Mapping the Life Science using Medical Subject Headings (MeSH)
1
11 1
12 18
13
M-Score: An Indicator Quantifying Individual's Scientific Research Output.
1
14 68
15 8
16 13
17
Portraying the Landscape of Canadian Library and Information Science Research = Portrait de la recherche en bibliothéconomie et sciences de l'information au Canada
5
18 14
19 1
20
Short-Term Load Forecasting Based on Radial Basis Function Neural Networks and Fuzzy Control
0

About Fei Shu

Fei Shu is a scholar working on Statistics, Probability and Uncertainty, Library and Information Sciences and Information Systems and Management, having authored 50 papers that have together received 809 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (30 papers), Research Data Management Practices (8 papers) and Web visibility and informetrics (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (396 citations), Information Systems and Management (158 citations) and Health Informatics (25 citations). Fei Shu has collaborated with scholars based in China, Canada and New Zealand. Frequent co-authors include Quan Wei, Bikun Chen, Vincent Larivière, Junping Qiu, Philippe Mongeon, Stefanie Haustein, Cassidy R. Sugimoto, Lin Zhang, Jing Zhang and Elise Smith. Their work appears in journals such as International Journal of Environmental Research and Public Health, Scientometrics and Journal of Informetrics.

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.

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