Lei Wang
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Artificial Intelligence top 0.1%
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Advanced Image and Video Retrieval Techniques 94
- Face and Expression Recognition 74
- Image Retrieval and Classification Techniques 63
- Video Surveillance and Tracking Methods 48
- Multimodal Machine Learning Applications 33
- Advanced Neural Network Applications 30
-
- Domain Adaptation and Few-Shot Learning 42
- Anomaly Detection Techniques and Applications 31
- Co-authors
- Luping Zhou (66 shared papers)Xinwang Liu (16 shared papers)Jianping Yin (15 shared papers)Lingqiao Liu (22 shared papers)Huan Liu (7 shared papers)Yang Gao (20 shared papers)Jing Huo (15 shared papers)Dinggang Shen (15 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (13 papers)IEEE Transactions on Neural Networks and Learning Systems (12 papers)Pattern Recognition (11 papers)IEEE Transactions on Medical Imaging (10 papers)Neurocomputing (7 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Lei Wang
541 papers receiving 13.4k citations
Lei Wang's Hit Papers
Peers
Comparison fields: 5 of 205
- Computer Vision and Pattern Recognition 6.7k
- Artificial Intelligence 5.0k
- Media Technology 1.3k
- Computational Mathematics 82
- Health Informatics 85
Countries citing papers authored by Lei Wang
This map shows the geographic impact of Lei 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 Lei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Wang more than expected).
Fields of papers citing papers by Lei Wang
This network shows the impact of papers produced by Lei 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 Lei Wang. The network helps show where Lei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei 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 593 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pruning and quantization for deep neural network acceleration: A survey Hit paper breakdown → | 2021 | 538 |
| 2 | Graph Attention Convolution for Point Cloud Semantic Segmentation Hit paper breakdown → | 2019 | 531 |
| 3 | Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning Hit paper breakdown → | 2019 | 420 |
| 4 | Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images Hit paper breakdown → | 2019 | 343 |
| 5 | 3D conditional generative adversarial networks for high-quality PET image estimation at low dose Hit paper breakdown → | 2018 | 326 |
| 6 | In defense of soft-assignment coding Hit paper breakdown → | 2011 | 306 |
| 7 | 2007 | 304 | |
| 8 | Late Fusion Incomplete Multi-View Clustering Hit paper breakdown → | 2018 | 297 |
| 9 | A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition Hit paper breakdown → | 2020 | 255 |
| 10 | 2019 | 247 | |
| 11 | 2011 | 235 | |
| 12 | From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition Hit paper breakdown → | 2019 | 233 |
| 13 | 2010 | 217 | |
| 14 | 2013 | 215 | |
| 15 | 2019 | 192 | |
| 16 | Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification Hit paper breakdown → | 2021 | 184 |
| 17 | 2019 | 180 | |
| 18 | 2016 | 165 | |
| 19 | 2014 | 165 | |
| 20 | 2005 | 164 |
About Lei Wang
Lei Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Computational Mechanics and Media Technology, having authored 593 papers that have together received 13.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (94 papers), Face and Expression Recognition (74 papers), Image Retrieval and Classification Techniques (63 papers), Video Surveillance and Tracking Methods (48 papers), Domain Adaptation and Few-Shot Learning (42 papers), Multimodal Machine Learning Applications (33 papers), Anomaly Detection Techniques and Applications (31 papers) and Advanced Neural Network Applications (30 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.7k citations), Artificial Intelligence (5.0k citations), Media Technology (1.3k citations), Computational Mathematics (82 citations) and Health Informatics (85 citations). Lei Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Luping Zhou, Xinwang Liu, Jianping Yin, Lingqiao Liu, Huan Liu, Yang Gao, Jing Huo, Dinggang Shen, Yinghuan Shi and Zheng Zhao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition, IEEE Transactions on Medical Imaging and Neurocomputing.
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.