Lipo Wang
Impact in
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- Face and Expression Recognition
- Artificial Intelligence top 0.5%
- AI in cancer detection
- Neural Networks and Applications
Papers in
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- Neural Networks and Applications 34
- Fuzzy Logic and Control Systems 10
- Co-authors
- Jai Prashanth Rao (3 shared papers)Justin Ker (3 shared papers)C. C. Tchoyoson Lim (2 shared papers)Olga Sourina (24 shared papers)Xiuju Fu (10 shared papers)Feng Chu (6 shared papers)Yaoli Wang (11 shared papers)Qing Chang (8 shared papers)
In The Last Decade
Lipo Wang
171 papers receiving 6.5k citations
Lipo Wang's Hit Papers
Peers
Comparison fields: 5 of 205
- Computer Vision and Pattern Recognition 1.4k
- Artificial Intelligence 2.2k
- Health Informatics 76
- Signal Processing 558
- Cognitive Neuroscience 977
Countries citing papers authored by Lipo Wang
This map shows the geographic impact of Lipo 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 Lipo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lipo Wang more than expected).
Fields of papers citing papers by Lipo Wang
This network shows the impact of papers produced by Lipo 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 Lipo Wang. The network helps show where Lipo Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lipo 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
Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Support Vector Machines: Theory and Applications Hit paper breakdown → | 2005 | 1083 |
| 2 | Deep Learning Applications in Medical Image Analysis Hit paper breakdown → | 2017 | 941 |
| 3 | 2005 | 293 | |
| 4 | Domain Adaptation Techniques for EEG-Based Emotion Recognition: A Comparative Study on Two Public Datasets Hit paper breakdown → | 2018 | 265 |
| 5 | 2016 | 226 | |
| 6 | 2007 | 198 | |
| 7 | 2014 | 165 | |
| 8 | 2015 | 164 | |
| 9 | 2019 | 131 | |
| 10 | 2005 | 130 | |
| 11 | 2018 | 130 | |
| 12 | 2015 | 128 | |
| 13 | 2019 | 118 | |
| 14 | 2008 | 92 | |
| 15 | 2007 | 89 | |
| 16 | Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing) | 2005 | 86 |
| 17 | 2020 | 86 | |
| 18 | 2017 | 86 | |
| 19 | 2011 | 80 | |
| 20 | 2018 | 73 |
About Lipo Wang
Lipo Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 185 papers that have together received 6.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (34 papers), EEG and Brain-Computer Interfaces (23 papers), Machine Learning in Bioinformatics (14 papers), Gene expression and cancer classification (13 papers), Neural dynamics and brain function (10 papers), Fuzzy Logic and Control Systems (10 papers), Emotion and Mood Recognition (9 papers) and Energy Load and Power Forecasting (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Artificial Intelligence (2.2k citations), Health Informatics (76 citations), Signal Processing (558 citations) and Cognitive Neuroscience (977 citations). Lipo Wang has collaborated with scholars based in Singapore, China and India. Frequent co-authors include Jai Prashanth Rao, Justin Ker, C. C. Tchoyoson Lim, Olga Sourina, Xiuju Fu, Feng Chu, Yaoli Wang, Qing Chang, Zirui Lan and Weisi Lin. Their work appears in journals such as IEEE Access, Journal of Artificial Intelligence and Soft Computing Research, Engineering Applications of Artificial Intelligence, Methods and IEEE Sensors Journal.
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.