Yao–Hsin Chou

1.5k citations
101 papers · 1.0k · h-index 19

Impact in

Papers in

Yao–Hsin Chou

91 papers receiving 911 citations

Peers

Yao–Hsin Chou
Comparison fields: 5 of 78
  • Management Science and Operations Research 291
  • Finance 216
  • Artificial Intelligence 522
  • Computer Networks and Communications 175
  • Computational Theory and Mathematics 114
Replace Shu–Yu Kuo with:
Shu–Yu Kuo Taiwan
Akiko Takeda Japan
Sebastian Pokutta United States
Scott H. Clearwater United States
Sung-Hwan Min United States
Xiaoyang Wang China
Saket Srivastava United Kingdom
Savaş Dayanik United States
Chi‐Yuan Chen Taiwan
Yao–Hsin Chou relative to Shu–Yu Kuo Taiwan Shu–Yu Kuo's profile →
Citations per field
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Shu–Yu Kuo · 1×
Citations per year

Countries citing papers authored by Yao–Hsin Chou

Since Specialization
Citations

This map shows the geographic impact of Yao–Hsin Chou'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 Yao–Hsin Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao–Hsin Chou more than expected).

Fields of papers citing papers by Yao–Hsin Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yao–Hsin Chou. 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 Yao–Hsin Chou. The network helps show where Yao–Hsin Chou may publish in the future.

Co-authors

The 25 scholars most cited alongside Yao–Hsin Chou, 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 Yao–Hsin Chou Line = papers co-authored together Yao–Hsin Chou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201353
2 201750
3 200842
4 201737
5 201435
6 201533
7 201830
8 200929
9 201128
10 201728
11 202326
12 202326
13 201225
14 201225
15 201624
16 201324
17 202120
18 202119
19 201218
20 201517

About Yao–Hsin Chou

Yao–Hsin Chou is a scholar working on Artificial Intelligence, Management Science and Operations Research, Atomic and Molecular Physics, and Optics, Finance and Computer Networks and Communications, having authored 101 papers that have together received 1.0k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (54 papers), Quantum Information and Cryptography (36 papers), Stock Market Forecasting Methods (25 papers), Financial Markets and Investment Strategies (23 papers), Quantum Mechanics and Applications (23 papers), Metaheuristic Optimization Algorithms Research (17 papers), Quantum-Dot Cellular Automata (13 papers) and Evolutionary Algorithms and Applications (8 papers). The work is most often cited by research in Management Science and Operations Research (291 citations), Finance (216 citations), Artificial Intelligence (522 citations), Computer Networks and Communications (175 citations) and Computational Theory and Mathematics (114 citations). Yao–Hsin Chou has collaborated with scholars based in Taiwan, United States and Sweden. Frequent co-authors include Shu–Yu Kuo, Chi‐Yuan Chen, Han‐Chieh Chao, Sy‐Yen Kuo, Yueh‐Min Huang, Fan‐Hsun Tseng, Shih‐Yi Yuan, Chih-Hung Liu, Tzong‐Wann Kao and Shi‐Jinn Horng. Their work appears in journals such as IEEE Access, Scientific Reports, IEEE Transactions on Emerging Topics in Computational Intelligence, Soft Computing and IET Information Security.

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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