Ye-Sho Chen

34 papers receiving 320 citations

Peers

Ye-Sho Chen
Comparison fields: 5 of 101
  • Statistics, Probability and Uncertainty 34
  • Software 15
  • Information Systems and Management 24
  • Information Systems 77
  • Computer Networks and Communications 78
Replace Yanzhong Dang with:
Yanzhong Dang China
Toby Walker United States
Harry Jiannan Wang United States
José María Álvarez-Rodríguez Spain
Azzurra Ragone Italy
Henry H. Bi United States
Jia‐Lang Seng Taiwan
Jyrki Nummenmaa Finland
Girish Keshav Palshikar India
David C. Chou United States
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Citations per year

Countries citing papers authored by Ye-Sho Chen

Since Specialization
Citations

This map shows the geographic impact of Ye-Sho Chen'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 Ye-Sho Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye-Sho Chen more than expected).

Fields of papers citing papers by Ye-Sho Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ye-Sho Chen. 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 Ye-Sho Chen. The network helps show where Ye-Sho Chen may publish in the future.

Co-authors

The 18 scholars most cited alongside Ye-Sho Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ye-Sho Chen Line = papers co-authored together Ye-Sho Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198668
2 199739
3 199227
4 199422
5 198920
6 199319
7 198719
8 198718
9 200418
10 198816
11 199912
12 198912
13 199511
14 20019
15 19978
16 20208
17 19895
18 19915
19 20055
20 20054

About Ye-Sho Chen

Ye-Sho Chen is a scholar working on Artificial Intelligence, Strategy and Management, Computer Networks and Communications, Management Science and Operations Research and Marketing, having authored 40 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (6 papers), Franchising Strategies and Performance (5 papers), Consumer Market Behavior and Pricing (4 papers), Innovation Diffusion and Forecasting (4 papers), Software Engineering Research (3 papers), Entrepreneurship Studies and Influences (3 papers), Advanced Text Analysis Techniques (3 papers) and Business Strategy and Innovation (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (34 citations), Software (15 citations), Information Systems and Management (24 citations), Information Systems (77 citations) and Computer Networks and Communications (78 citations). Ye-Sho Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Ferdinand F. Leimkuhler, P. Pete Chong, Sumit Sarkar, Ying Shi, Edward Watson, Bin Zhang, Soushan Wu, Guoqing Chen, Michael J. A. Wohl and Chitu Okoli. Their work appears in journals such as Journal of the Association for Information Systems, Information Processing & Management, Decision Support Systems, Scientometrics and Electronic Government an International Journal.

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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