Lei Han
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Computational Mathematics top 10%
Papers in
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- Advanced Vision and Imaging 6
- Journals
- IEEE Transactions on Components Packaging and Manufacturing Technology (4 papers)IEEE Transactions on Semiconductor Manufacturing (2 papers)Sensors and Actuators A Physical (2 papers)Sensors (2 papers)Transactions of Nonferrous Metals Society of China (2 papers)
- Partner nations
- ChinaHong KongNetherlands
In The Last Decade
Lei Han
64 papers receiving 870 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 378
- Computational Mathematics 10
- Artificial Intelligence 228
- Human-Computer Interaction 38
- Media Technology 60
Countries citing papers authored by Lei Han
This map shows the geographic impact of Lei Han'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 Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Han more than expected).
Fields of papers citing papers by Lei Han
This network shows the impact of papers produced by Lei Han. 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 Han. The network helps show where Lei Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lei Han, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 10 | |
| 12 | 2015 | 3 | |
| 13 | 2015 | 2 | |
| 14 | 2013 | 17 | |
| 15 | Chinese Sentential Semantic Type Recognition Based on C4.5 Decision Tree and SVM Algorithm | 2012 | 1 |
| 16 | 2007 | 5 | |
| 17 | Experimental Studies of Equivalent Circuit for Operating-mode Piezoelectric Transducer | 2006 | 1 |
| 18 | 2006 | 49 | |
| 19 | 2005 | 1 | |
| 20 | 2005 | 0 |
About Lei Han
Lei Han is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Mechanics of Materials, Mechanical Engineering and Electrical and Electronic Engineering, having authored 72 papers that have together received 896 indexed citations. Recurring topics across this work include Electronic Packaging and Soldering Technologies (23 papers), 3D IC and TSV technologies (13 papers), Advanced Welding Techniques Analysis (7 papers), Adhesion, Friction, and Surface Interactions (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Advanced Vision and Imaging (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning and ELM (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (378 citations), Computational Mathematics (10 citations), Artificial Intelligence (228 citations), Human-Computer Interaction (38 citations) and Media Technology (60 citations). Lei Han has collaborated with scholars based in China, Hong Kong and Netherlands. Frequent co-authors include Yu Zhang, Luming Zhang, Liqiang Nie, Ye Liu, David S. Rosenblum, Jue Zhong, Fuliang Wang, Junhui Li, Zhili Long and Yunxin Wu. Their work appears in journals such as IEEE Transactions on Components Packaging and Manufacturing Technology, IEEE Transactions on Semiconductor Manufacturing, Sensors and Actuators A Physical, Sensors and Transactions of Nonferrous Metals Society of China.
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.