W.W. Tan

842 citations
27 papers · 684 · h-index 13

Impact in

Papers in

W.W. Tan

25 papers receiving 645 citations

Peers

W.W. Tan
Comparison fields: 5 of 67
  • Control and Systems Engineering 260
  • Statistics and Probability 90
  • Artificial Intelligence 266
  • Mechanical Engineering 148
  • Electrical and Electronic Engineering 217
Replace K.Y. Chan with:
K.Y. Chan Hong Kong
Chi‐Hsu Wang Taiwan
A.A. Yamamura United States
Rong Cheng China
H.B. GATLAND New Zealand
Mohammad Reza Soltanpour Iran
Saeed Jafarzadeh United States
Xun Wang China
Sangho Lee South Korea
Abdollah Khoei Iran
W.W. Tan relative to K.Y. Chan Hong Kong K.Y. Chan's profile →
Citations per field
00.5×2×3×4×4.6×
K.Y. Chan · 1×
Citations per year

Countries citing papers authored by W.W. Tan

Since Specialization
Citations

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

Fields of papers citing papers by W.W. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside W.W. Tan, 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 W.W. Tan Line = papers co-authored together W.W. Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005145
2 200685
3 200562
4 200854
5
GENETIC LEARNING AND PERFORMANCE EVALUATION OF TYPE-2 FUZZY LOGIC CONTROLLERS
200654
6 200544
7 200827
8 201127
9 200525
10 201023
11 200018
12 200318
13 199914
14 200913
15 200712
16 200812
17 20239
18 20079
19 20048
20 20067

About W.W. Tan

W.W. Tan is a scholar working on Control and Systems Engineering, Mechanical Engineering, Artificial Intelligence, Safety, Risk, Reliability and Quality and Electrical and Electronic Engineering, having authored 27 papers that have together received 684 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (7 papers), Fuzzy Logic and Control Systems (6 papers), Machine Fault Diagnosis Techniques (6 papers), Advanced MEMS and NEMS Technologies (4 papers), Mechanical and Optical Resonators (4 papers), Iterative Learning Control Systems (3 papers), Acoustic Wave Resonator Technologies (3 papers) and Advanced Control Systems Design (3 papers). The work is most often cited by research in Control and Systems Engineering (260 citations), Statistics and Probability (90 citations), Artificial Intelligence (266 citations), Mechanical Engineering (148 citations) and Electrical and Electronic Engineering (217 citations). W.W. Tan has collaborated with scholars based in Singapore, United Kingdom and China. Frequent co-authors include Dongrui Wu, Moorthi Palaniapan, Hong Huo, A.P. Loh, C.S. Chang, Arthur L. Dexter, Kok Kiong Tan, Hendra Goh, Yen Sin Wong and S. Huang. Their work appears in journals such as Automatica, Journal of Micromechanics and Microengineering, IET Control Theory and Applications, International Journal of Machine Tools and Manufacture and Engineering Applications of Artificial Intelligence.

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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