L.-X. Wang
Impact in
- Artificial Intelligence top 0.2%
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
- Control and Systems Engineering top 0.2%
- Adaptive Control of Nonlinear Systems
- Fault Detection and Control Systems
- Advanced Control Systems Design
- Advanced Control Systems Optimization
Papers in
-
- Neural Networks and Applications 9
- Fuzzy Logic and Control Systems 6
-
- Blind Source Separation Techniques 2
- Co-authors
- Jerry M. Mendel (8 shared papers)Zexiang Li (1 shared paper)Frank L. Lewis (1 shared paper)
- Journals
- IEEE Transactions on Control Systems Technology (1 paper)IEEE Transactions on Computers (1 paper)IEEE Transactions on Systems Man and Cybernetics (1 paper)IEEE Transactions on Neural Networks (2 papers)
- Partner nations
- United StatesHong Kong
In The Last Decade
L.-X. Wang
11 papers receiving 5.4k citations
L.-X. Wang's Hit Papers
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 3.9k
- Control and Systems Engineering 2.5k
- Statistics and Probability 678
- Computational Theory and Mathematics 706
- Management Science and Operations Research 441
Countries citing papers authored by L.-X. Wang
This map shows the geographic impact of L.-X. Wang'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 L.-X. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.-X. Wang more than expected).
Fields of papers citing papers by L.-X. Wang
This network shows the impact of papers produced by L.-X. Wang. 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 L.-X. Wang. The network helps show where L.-X. Wang may publish in the future.
Co-authors
The 3 scholars most cited alongside L.-X. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Generating fuzzy rules by learning from examples Hit paper breakdown → | 1992 | 2357 |
| 2 | Fuzzy basis functions, universal approximation, and orthogonal least-squares learning Hit paper breakdown → | 1992 | 2251 |
| 3 | Fuzzy systems are universal approximators Hit paper breakdown → | 2003 | 618 |
| 4 | 2003 | 209 | |
| 5 | 1999 | 161 | |
| 6 | 2002 | 67 | |
| 7 | 1991 | 35 | |
| 8 | 1990 | 11 | |
| 9 | 1992 | 10 | |
| 10 | 1992 | 7 | |
| 11 | 1991 | 2 |
About L.-X. Wang
L.-X. Wang is a scholar working on Artificial Intelligence, Signal Processing, Computational Theory and Mathematics, Control and Systems Engineering and Geophysics, having authored 11 papers that have together received 5.7k indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Fuzzy Logic and Control Systems (6 papers), Fuzzy Systems and Optimization (2 papers), Seismic Imaging and Inversion Techniques (2 papers), Blind Source Separation Techniques (2 papers), Matrix Theory and Algorithms (2 papers), Hand Gesture Recognition Systems (1 paper) and Seismic Waves and Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (3.9k citations), Control and Systems Engineering (2.5k citations), Statistics and Probability (678 citations), Computational Theory and Mathematics (706 citations) and Management Science and Operations Research (441 citations). L.-X. Wang has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Jerry M. Mendel, Zexiang Li and Frank L. Lewis. Their work appears in journals such as IEEE Transactions on Control Systems Technology, IEEE Transactions on Computers, IEEE Transactions on Systems Man and Cybernetics and IEEE Transactions on Neural Networks.
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.