Lei Xu
Impact in
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- Image and Object Detection Techniques
- Image Processing and 3D Reconstruction
- Face and Expression Recognition
- Signal Processing top 0.5%
- Blind Source Separation Techniques
Papers in
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- Neural Networks and Applications 54
- Bayesian Methods and Mixture Models 21
-
- Image and Object Detection Techniques 15
- Face and Expression Recognition 13
- Co-authors
- Erkki Oja (10 shared papers)Michael I. Jordan (4 shared papers)Adam Krzyżak (5 shared papers)Shikui Tu (42 shared papers)Yiu‐ming Cheung (11 shared papers)Ching Y. Suen (2 shared papers)Jinwen Ma (4 shared papers)Geoffrey E. Hinton (1 shared paper)
- Journals
- Neural Networks (14 papers)Neurocomputing (13 papers)Neural Computation (5 papers)Pattern Recognition Letters (4 papers)International Journal of Neural Systems (3 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Lei Xu
176 papers receiving 4.9k citations
Lei Xu's Hit Papers
Peers
Comparison fields: 5 of 163
- Computer Vision and Pattern Recognition 2.1k
- Signal Processing 1.1k
- Artificial Intelligence 2.3k
- Media Technology 437
- Analytical Chemistry 305
Countries citing papers authored by Lei Xu
This map shows the geographic impact of Lei Xu'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 Lei Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Xu more than expected).
Fields of papers citing papers by Lei Xu
This network shows the impact of papers produced by Lei Xu. 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 Lei Xu. The network helps show where Lei Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Xu, 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 189 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A new curve detection method: Randomized Hough transform (RHT) Hit paper breakdown → | 1990 | 709 |
| 2 | 1996 | 485 | |
| 3 | 1993 | 409 | |
| 4 | 1993 | 302 | |
| 5 | 1993 | 244 | |
| 6 | 1995 | 185 | |
| 7 | 1992 | 176 | |
| 8 | 1995 | 149 | |
| 9 | An Alternative Model for Mixtures of Experts | 1994 | 142 |
| 10 | 1997 | 100 | |
| 11 | 1999 | 91 | |
| 12 | 2020 | 91 | |
| 13 | 1994 | 88 | |
| 14 | 2000 | 80 | |
| 15 | 2010 | 77 | |
| 16 | 2001 | 73 | |
| 17 | 1998 | 71 | |
| 18 | 2002 | 69 | |
| 19 | 1993 | 63 | |
| 20 | 2021 | 62 |
About Lei Xu
Lei Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology and Control and Systems Engineering, having authored 189 papers that have together received 5.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (54 papers), Blind Source Separation Techniques (37 papers), Bayesian Methods and Mixture Models (21 papers), Spectroscopy and Chemometric Analyses (16 papers), Image and Object Detection Techniques (15 papers), Gene expression and cancer classification (14 papers), Face and Expression Recognition (13 papers) and Stock Market Forecasting Methods (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Signal Processing (1.1k citations), Artificial Intelligence (2.3k citations), Media Technology (437 citations) and Analytical Chemistry (305 citations). Lei Xu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Erkki Oja, Michael I. Jordan, Adam Krzyżak, Shikui Tu, Yiu‐ming Cheung, Ching Y. Suen, Jinwen Ma, Geoffrey E. Hinton, Heikki Kälviäinen and Zhiyong Liu. Their work appears in journals such as Neural Networks, Neurocomputing, Neural Computation, Pattern Recognition Letters and International Journal of Neural Systems.
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.