Ye-Sho Chen

39 papers receiving 366 citations

Peers

Ye-Sho Chen
Comparison fields: 5 of 108
  • Statistics, Probability and Uncertainty 35
  • Information Systems and Management 32
  • Marketing 40
  • Management Information Systems 37
  • Software 15
Replace Yanzhong Dang with:
Yanzhong Dang China
Ronald Dattero United States
Michael D. Cooper United States
Harry Jiannan Wang United States
Jia‐Lang Seng Taiwan
José María Álvarez-Rodríguez Spain
Gerald V. Post United States
Jan Guynes Clark United States
Andrea L. Houston United States
Sarantos Kapidakis Greece
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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 22 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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198668
2 199739
3 199227
4 199422
5 201220
6 199320
7 198920
8 198719
9 198718
10 200418
11 198816
12 199912
13 198912
14 202011
15 199511
16 20019
17 20139
18 20018
19 19978
20 19927

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 Management Information Systems, having authored 46 papers that have together received 428 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Franchising Strategies and Performance (5 papers), Entrepreneurship Studies and Influences (4 papers), Innovation Diffusion and Forecasting (4 papers), Consumer Market Behavior and Pricing (4 papers), Data Management and Algorithms (3 papers), Business Strategy and Innovation (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (35 citations), Information Systems and Management (32 citations), Marketing (40 citations), Management Information Systems (37 citations) and Software (15 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, Soushan Wu, Ying Shi, Edward Watson, Bin Zhang, Ching‐I Teng, Fan‐Chen Tseng and Edgard Bruno Cornacchione. Their work appears in journals such as Journal of the Association for Information Systems, Information Processing & Management, Industrial Management & Data Systems, Scientometrics and Decision Support Systems.

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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