Pei‐Wei Tsai

3.9k total citations
91 papers, 2.0k citations indexed

About

Pei‐Wei Tsai is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pei‐Wei Tsai has authored 91 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 18 papers in Computer Networks and Communications and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pei‐Wei Tsai's work include Metaheuristic Optimization Algorithms Research (17 papers), Energy Efficient Wireless Sensor Networks (13 papers) and Semantic Web and Ontologies (9 papers). Pei‐Wei Tsai is often cited by papers focused on Metaheuristic Optimization Algorithms Research (17 papers), Energy Efficient Wireless Sensor Networks (13 papers) and Semantic Web and Ontologies (9 papers). Pei‐Wei Tsai collaborates with scholars based in China, Australia and Taiwan. Pei‐Wei Tsai's co-authors include Jeng‐Shyang Pan, Shu‐Chuan Chu, Bin-Yih Liao, Rusul Abduljabbar, Hussein Dia, Václav Snåšel, Lingping Kong, Shyi‐Ming Chen, Tien‐Wen Sung and ‬Hadi Ghaderi and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Pei‐Wei Tsai

83 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pei‐Wei Tsai China 25 792 434 399 260 244 91 2.0k
Huaqiang Yuan China 24 951 1.2× 533 1.2× 259 0.6× 410 1.6× 158 0.6× 75 2.2k
Eneko Osaba Spain 23 1.3k 1.6× 288 0.7× 231 0.6× 212 0.8× 288 1.2× 108 2.5k
Xiangbing Zhou China 19 706 0.9× 214 0.5× 218 0.5× 340 1.3× 390 1.6× 48 1.8k
Qi Kang China 31 1.3k 1.6× 246 0.6× 942 2.4× 313 1.2× 538 2.2× 142 3.0k
Giandomenico Spezzano Italy 25 608 0.8× 866 2.0× 256 0.6× 243 0.9× 104 0.4× 114 2.0k
Brahim Chaib-draa Canada 27 1.3k 1.6× 351 0.8× 208 0.5× 418 1.6× 577 2.4× 147 2.7k
Kit Yan Chan Australia 27 641 0.8× 290 0.7× 560 1.4× 193 0.7× 576 2.4× 145 2.6k
Jianwei Zhao China 23 1.1k 1.3× 579 1.3× 476 1.2× 269 1.0× 148 0.6× 44 2.2k
Haiping Ma China 28 1.3k 1.6× 171 0.4× 475 1.2× 323 1.2× 230 0.9× 86 2.5k
El‐Ghazali Talbi France 12 697 0.9× 297 0.7× 204 0.5× 134 0.5× 170 0.7× 36 1.8k

Countries citing papers authored by Pei‐Wei Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Wei Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei‐Wei 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 Pei‐Wei Tsai. The network helps show where Pei‐Wei Tsai may publish in the future.

Co-authorship network of co-authors of Pei‐Wei Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Pei‐Wei Tsai. A scholar is included among the top collaborators of Pei‐Wei Tsai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pei‐Wei Tsai. Pei‐Wei Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tsai, Pei‐Wei, et al.. (2025). Anchor-based ontology partitioning and Genetic Programming with Relevance Reasoning for large-scale biomedical ontology matching. Expert Systems with Applications. 270. 126445–126445.
2.
Zhang, Jing, et al.. (2024). LSTM-Oppurs: Opportunistic user recruitment strategy based on deep learning in mobile crowdsensing system. Future Generation Computer Systems. 162. 107490–107490. 4 indexed citations
3.
Tsai, Pei‐Wei, et al.. (2024). Towards Privacy in Decentralized IoT: A Blockchain-Based Dual Response DP Mechanism. Big Data Mining and Analytics. 7(3). 699–717. 3 indexed citations
4.
Zhang, Kai, Yanjun Zhang, Pei‐Wei Tsai, et al.. (2024). Bounded and Unbiased Composite Differential Privacy. 972–990. 20 indexed citations
5.
Tsai, Pei‐Wei, Xingsi Xue, & Jing Zhang. (2023). Trajectory feature extraction and multi‐criteria k nearest neighbour based job‐to‐crowd matching for the crowdshipping last mile delivery. IET Control Theory and Applications. 17(17). 2304–2312. 1 indexed citations
6.
Xue, Xingsi, et al.. (2021). Optimizing Ontology Alignment through Linkage Learning on Entity Correspondences. Complexity. 2021(1). 31 indexed citations
7.
Tsai, Pei‐Wei, et al.. (2021). Adjustable mode ratio and focus boost search strategy for cat swarm optimization. 1(1). 75–94. 2 indexed citations
8.
Pan, Jeng‐Shyang, Lingping Kong, Tien‐Wen Sung, Pei‐Wei Tsai, & Václav Snåšel. (2018). A Clustering Scheme for Wireless Sensor Networks Based on Genetic Algorithm and Dominating Set. 網際網路技術學刊. 19(4). 1111–1118. 52 indexed citations
9.
Pan, Jeng‐Shyang, Lingping Kong, Tien‐Wen Sung, Pei‐Wei Tsai, & Václav Snåšel. (2018). α-Fraction First Strategy for Hierarchical Model in Wireless Sensor Networks. 網際網路技術學刊. 19(6). 1717–1726. 76 indexed citations
10.
Xue, Xingsi, et al.. (2017). Efficient Ontology Meta-Matching Based on Metamodel-assisted Compact MOEA/D.. J. Inf. Hiding Multim. Signal Process.. 8. 1021–1028. 3 indexed citations
11.
Tsai, Pei‐Wei, et al.. (2016). Undulating Swarm Intelligence Agents in Wave Increasing Evolved Bat Algorithm.. Swinburne Research Bank (Swinburne University of Technology). 7(1). 21–30. 1 indexed citations
12.
Cai, Sijing & Pei‐Wei Tsai. (2016). Echolocation Guided Evolved Bat Algorithm.. Swinburne Research Bank (Swinburne University of Technology). 7. 153–162. 1 indexed citations
13.
Chen, Min, et al.. (2016). A Coverage Loopholes Recovery Algorithm in Wireless Sensor Networks.. Swinburne Research Bank (Swinburne University of Technology). 7. 1354–1364. 1 indexed citations
14.
Tsai, Pei‐Wei, et al.. (2016). STRUCTURING INTERACTIVE ARTIFICIAL BEE COLONY FORECASTING MODEL IN FOREIGN EXCHANGE RATE FORECASTING WITH CONSUMER CONFIDENCE INDEX AND CONVENTIONAL MICROECONOMICS FACTORS. ICIC express letters. Part B, Applications. 7(4). 895–901. 2 indexed citations
15.
Tsai, Pei‐Wei, et al.. (2016). IMPROVING EVOLVED BAT ALGORITHM WITH AMPLITUDE MODULATION IN SWARM INTELLIGENCE. ICIC express letters. Part B, Applications. 7(5). 1071–1076.
16.
Li, Jiang, Xingsi Xue, Pei‐Wei Tsai, & Jeng‐Shyang Pan. (2016). A Novel Ontology Matching Technology Based on NSGA-II.. Swinburne Research Bank (Swinburne University of Technology). 7. 317–324. 1 indexed citations
17.
Tsai, Pei‐Wei, et al.. (2015). Improving Swarm Intelligence Accuracy with Cosine Functions for Evolved Bat Algorithm.. Swinburne Research Bank (Swinburne University of Technology). 6. 1194–1202. 3 indexed citations
18.
Khan, Muhammad Khurram, Pei‐Wei Tsai, Jeng‐Shyang Pan, & Bin-Yih Liao. (2011). Biometric driven initiative system for passive continuous authentication. Swinburne Research Bank (Swinburne University of Technology). 1. 139–144. 4 indexed citations
19.
Pan, Jeng‐Shyang, Bin-Yih Liao, Shu‐Chuan Chu, & Pei‐Wei Tsai. (2009). ENHANCED ARTIFICIAL BEE COLONY OPTIMIZATION. Electrophoresis. 171 indexed citations
20.
Chu, Shu‐Chuan & Pei‐Wei Tsai. (2006). COMPUTATIONAL INTELLIGENCE BASED ON THE BEHAVIOR OF CATS. 151 indexed citations

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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