Wen-Yang Lin

1.3k citations
84 papers · 755 · h-index 13

Impact in

Papers in

Wen-Yang Lin

76 papers receiving 714 citations

Peers

Wen-Yang Lin
Comparison fields: 5 of 107
  • Computational Theory and Mathematics 279
  • Information Systems 343
  • Artificial Intelligence 400
  • Signal Processing 105
  • Computer Networks and Communications 93
Replace Petko Valtchev with:
Petko Valtchev Canada
Yailé Caballero Mota Cuba
Jeremy Bryans United Kingdom
Chien-Chung Chan United States
Rosa Meo Italy
Vinayaka Pandit India
Ahmed Abdelaziz Malaysia
Chid Apte United States
Fabian Moerchen United States
Wen-Yang Lin relative to Petko Valtchev Canada Petko Valtchev's profile →
Citations per field
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Petko Valtchev · 1×
Citations per year

Countries citing papers authored by Wen-Yang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wen-Yang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen-Yang Lin. 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 Wen-Yang Lin. The network helps show where Wen-Yang Lin may publish in the future.

Co-authors

The 24 scholars most cited alongside Wen-Yang Lin, 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 Wen-Yang Lin Line = papers co-authored together Wen-Yang Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Adapting Crossover and Mutation Rates in Genetic Algorithms
2003103
2 200579
3 200273
4 200445
5 201343
6 201438
7 201425
8 200624
9 201621
10 200619
11 201016
12 200815
13 200915
14 201111
15 200411
16 201710
17 20129
18 20139
19 20059
20 20089

About Wen-Yang Lin

Wen-Yang Lin is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Information Systems, Computer Networks and Communications and Signal Processing, having authored 84 papers that have together received 755 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (37 papers), Rough Sets and Fuzzy Logic (29 papers), Data Management and Algorithms (13 papers), Metaheuristic Optimization Algorithms Research (13 papers), Privacy-Preserving Technologies in Data (10 papers), Advanced Database Systems and Queries (10 papers), Evolutionary Algorithms and Applications (10 papers) and Cryptography and Data Security (8 papers). The work is most often cited by research in Computational Theory and Mathematics (279 citations), Information Systems (343 citations), Artificial Intelligence (400 citations), Signal Processing (105 citations) and Computer Networks and Communications (93 citations). Wen-Yang Lin has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Tzung‐Pei Hong, Jerry Chun‐Wei Lin, Yeong-Chyi Lee, Guo-Cheng Lan, Wen‐Yuan Lee, Feng‐Huei Lin, Subramaniam Sadhasivam, Ja-Hwung Su, Wen‐Hsiang Lu and S. Savitha. Their work appears in journals such as Applied Intelligence, Journal of Information Science, Expert Systems with Applications, International Journal of Approximate Reasoning and IEEE Journal of Biomedical and Health Informatics.

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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