Cheng-Fa Tsai

712 citations
35 papers · 339 · h-index 11

Impact in

Papers in

Cheng-Fa Tsai

35 papers receiving 300 citations

Peers

Cheng-Fa Tsai
Comparison fields: 5 of 68
  • Artificial Intelligence 184
  • Industrial and Manufacturing Engineering 56
  • Signal Processing 60
  • Information Systems 71
  • Computational Theory and Mathematics 48
Replace Yuying Wang with:
Yuying Wang China
A. Şima Uyar Türkiye
Huowang Chen China
Graeme Gange Australia
Ashraf M. Abdelbar Egypt
Nadjet Kamel Algeria
Zhijian Wang China
Peipei Wang China
Karsten Weihe Germany
Raphael C. S. Machado Brazil
Cheng-Fa Tsai relative to Yuying Wang China Yuying Wang's profile →
Citations per field
00.5×1.5×1.8×
Yuying Wang · 1×
Citations per year

Countries citing papers authored by Cheng-Fa Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Fa Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Fa Tsai. 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 Cheng-Fa Tsai. The network helps show where Cheng-Fa Tsai may publish in the future.

Co-authors

The 10 scholars most cited alongside Cheng-Fa Tsai, 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 Cheng-Fa Tsai Line = papers co-authored together Cheng-Fa Tsai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200451
2 200349
3 201940
4 200316
5 200316
6 200316
7 200315
8 200313
9
A Multiple-Searching Approach to Genetic Algorithms for Solving Traveling Salesman Problem.
200212
10 201511
11 201011
12 200310
13 200410
14 20107
15 20027
16 20217
17 20036
18 20015
19 20205
20 20164

About Cheng-Fa Tsai

Cheng-Fa Tsai is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Signal Processing, having authored 35 papers that have together received 339 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (9 papers), Peer-to-Peer Network Technologies (8 papers), Data Mining Algorithms and Applications (8 papers), Metaheuristic Optimization Algorithms Research (8 papers), Network Traffic and Congestion Control (7 papers), Advanced Optical Network Technologies (6 papers), Data Management and Algorithms (5 papers) and Software Testing and Debugging Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (184 citations), Industrial and Manufacturing Engineering (56 citations), Signal Processing (60 citations), Information Systems (71 citations) and Computational Theory and Mathematics (48 citations). Cheng-Fa Tsai has collaborated with scholars based in Taiwan and United Kingdom. Frequent co-authors include Chun‐Wei Tsai, Pensée Wu, Chia-En Tsai, Feng‐Cheng Lin, Chun‐Wei Tsai, Zhicheng Chen, Ning-Han Liu, Jui-Fang Chang, Chua‐Chin Wang and Minhua Shao. Their work appears in journals such as Journal of Systems and Software, Electronics, Information Sciences, Applied Sciences and Networks.

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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