W.W. Tan

840 citations
28 papers · 634 indexed · h-index 14

Impact in

Papers in

W.W. Tan

25 papers receiving 597 citations

Peers

W.W. Tan
Comparison fields: 5 of 65
  • Control and Systems Engineering 244
  • Statistics and Probability 78
  • Artificial Intelligence 236
  • Mechanical Engineering 144
  • Electrical and Electronic Engineering 207
Replace K.Y. Chan with:
K.Y. Chan Hong Kong
Igor Melnyk Ukraine
Kazuo Machida Japan
Jinquan Xu China
A.A. Yamamura United States
Rong Cheng China
Chun-Hsu Ko Taiwan
Po-Huang Shieh Taiwan
Abdollah Khoei Iran
Saeed Jafarzadeh United States
W.W. Tan relative to K.Y. Chan Hong Kong K.Y. Chan's profile →
Citations per field
00.5×4.5×
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 25 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005130
2 200681
3 200559
4 200851
5
GENETIC LEARNING AND PERFORMANCE EVALUATION OF TYPE-2 FUZZY LOGIC CONTROLLERS
200649
6 200541
7 200826
8 201023
9 201122
10 200521
11 200018
12 200316
13 199914
14 200913
15 200811
16 200711
17 20079
18 20238
19 20048
20 20096

About W.W. Tan

W.W. Tan is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Biomedical Engineering and Artificial Intelligence, having authored 28 papers that have together received 634 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (7 papers), Machine Fault Diagnosis Techniques (6 papers), Fuzzy Logic and Control Systems (5 papers), Mechanical and Optical Resonators (4 papers), Advanced MEMS and NEMS Technologies (4 papers), Acoustic Wave Resonator Technologies (3 papers), Advanced Control Systems Optimization (3 papers) and Advanced Control Systems Design (3 papers). The work is most often cited by research in Control and Systems Engineering (244 citations), Statistics and Probability (78 citations), Artificial Intelligence (236 citations), Mechanical Engineering (144 citations) and Electrical and Electronic Engineering (207 citations). W.W. Tan has collaborated with scholars based in Singapore, China and United Kingdom. Frequent co-authors include Dongrui Wu, Hong Huo, Moorthi Palaniapan, A.P. Loh, A.L. Dexter, C.S. Chang, Y.S. Wong, S. Huang, Kok Kiong Tan and Hendra Goh. Their work appears in journals such as Journal of Micromechanics and Microengineering, Automatica, International Journal of Control, IET Control Theory and Applications and IEEE Transactions on Semiconductor Manufacturing.

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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