W.L. Tung

811 total citations
22 papers, 544 citations indexed

About

W.L. Tung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, W.L. Tung has authored 22 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in W.L. Tung's work include Fuzzy Logic and Control Systems (11 papers), Neural Networks and Applications (11 papers) and Imbalanced Data Classification Techniques (4 papers). W.L. Tung is often cited by papers focused on Fuzzy Logic and Control Systems (11 papers), Neural Networks and Applications (11 papers) and Imbalanced Data Classification Techniques (4 papers). W.L. Tung collaborates with scholars based in Singapore, Australia and United States. W.L. Tung's co-authors include Chai Quek, Philip Cheng, Jasmine B.‐Y. Sim, Shukai Li, Wee Keong Ng, Kee Khoon Lee, Bu‐Sung Lee, Chee‐Seng Chong, Tianyou Zhang and Michel Pasquier and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Neural Networks.

In The Last Decade

W.L. Tung

21 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W.L. Tung Singapore 9 369 101 83 73 61 22 544
Stjepan Oreški Croatia 6 337 0.9× 44 0.4× 24 0.3× 210 2.9× 81 1.3× 9 531
Goran Oreški Croatia 6 315 0.9× 45 0.4× 25 0.3× 210 2.9× 79 1.3× 10 513
Yongqiao Wang China 7 208 0.6× 72 0.7× 64 0.8× 106 1.5× 43 0.7× 22 385
Manuel Valenzuela-Rendón Mexico 10 319 0.9× 186 1.8× 40 0.5× 7 0.1× 38 0.6× 27 584
Arindam Chaudhuri India 10 160 0.4× 109 1.1× 19 0.2× 96 1.3× 24 0.4× 26 364
Zhiwang Zhang China 11 171 0.5× 42 0.4× 25 0.3× 75 1.0× 19 0.3× 41 408
Kazuo Asakawa Japan 6 283 0.8× 364 3.6× 91 1.1× 21 0.3× 73 1.2× 20 597
Filip Rudziński Poland 8 212 0.6× 31 0.3× 30 0.4× 41 0.6× 18 0.3× 24 313
Ralph Neuneier Germany 11 233 0.6× 173 1.7× 50 0.6× 6 0.1× 92 1.5× 21 467
Tsendsuren Munkhdalai United States 15 517 1.4× 68 0.7× 13 0.2× 53 0.7× 12 0.2× 39 749

Countries citing papers authored by W.L. Tung

Since Specialization
Citations

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

Fields of papers citing papers by W.L. Tung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.L. Tung. 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 W.L. Tung. The network helps show where W.L. Tung may publish in the future.

Co-authorship network of co-authors of W.L. Tung

This figure shows the co-authorship network connecting the top 25 collaborators of W.L. Tung. A scholar is included among the top collaborators of W.L. Tung 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 W.L. Tung. W.L. Tung 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
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Li, Shukai, Xiaoli Li, W.L. Tung, & Kelvin Sim. (2015). Behaviors and Profit Based Sales Campaign Design. 85. 353–360.
3.
Tung, W.L., et al.. (2015). A Novel Discrete Particle Swarm Optimization approach to large-scale survey planning. 38. 261–268. 1 indexed citations
4.
Li, Shukai, W.L. Tung, & Wee Keong Ng. (2013). A novelty detection machine and its application to bank failure prediction. Neurocomputing. 130. 63–72. 5 indexed citations
5.
Chong, Chee‐Seng, et al.. (2012). Collaborative analytics for predicting expressway-traffic congestion. DR-NTU (Nanyang Technological University). 35–38. 6 indexed citations
6.
Tung, W.L. & Chai Quek. (2010). Financial volatility trading using a self-organising neural-fuzzy semantic network and option straddle-based approach. Expert Systems with Applications. 38(5). 4668–4688. 41 indexed citations
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Tung, W.L. & Chai Quek. (2009). eFSM—A Novel Online Neural-Fuzzy Semantic Memory Model. IEEE Transactions on Neural Networks. 21(1). 136–157. 41 indexed citations
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Tung, W.L. & Chai Quek. (2007). A brain-inspired fuzzy semantic memory model for learning and reasoning with uncertainty. Neural Computing and Applications. 16(6). 559–569. 5 indexed citations
13.
Sim, Jasmine B.‐Y., W.L. Tung, & Chai Quek. (2006). FCMAC-Yager: A Novel Yager-Inference-Scheme-Based Fuzzy CMAC. IEEE Transactions on Neural Networks. 17(6). 1394–1410. 43 indexed citations
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Tung, W.L. & Chai Quek. (2004). Falcon: Neural Fuzzy Control and Decision Systems Using FKP and PFKP Clustering Algorithms. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 34(1). 686–695. 42 indexed citations
16.
Tung, W.L. & Chai Quek. (2004). GenSo-FDSS: a neural-fuzzy decision support system for pediatric ALL cancer subtype identification using gene expression data. Artificial Intelligence in Medicine. 33(1). 61–88. 42 indexed citations
17.
Tung, W.L., Chai Quek, & Philip Cheng. (2004). GenSo-EWS: a novel neural-fuzzy based early warning system for predicting bank failures. Neural Networks. 17(4). 567–587. 101 indexed citations
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Tung, W.L. & Chai Quek. (2002). GenSoFNN: a generic self-organizing fuzzy neural network. IEEE Transactions on Neural Networks. 13(5). 1075–1086. 132 indexed citations
20.
Quek, Chai & W.L. Tung. (2001). A novel approach to the derivation of fuzzy membership functions using the Falcon-MART architecture. Pattern Recognition Letters. 22(9). 941–958. 36 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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