Minlong Lu
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Multimodal Machine Learning Applications 5
- Advanced Image and Video Retrieval Techniques 4
- Human Pose and Action Recognition 2
- Video Analysis and Summarization 2
- Advanced Vision and Imaging 2
- Advanced Neural Network Applications 2
- Journals
- IEEE Transactions on Image Processing (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Cybernetics (1 paper)IEEE Transactions on Multimedia (1 paper)IEEE Computational Intelligence Magazine (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Minlong Lu
12 papers receiving 347 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 240
- Human-Computer Interaction 48
- Signal Processing 37
- Biomedical Engineering 127
- Artificial Intelligence 88
Countries citing papers authored by Minlong Lu
This map shows the geographic impact of Minlong Lu'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 Minlong Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minlong Lu more than expected).
Fields of papers citing papers by Minlong Lu
This network shows the impact of papers produced by Minlong Lu. 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 Minlong Lu. The network helps show where Minlong Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Minlong Lu, 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 | 2023 | 9 | |
| 2 | 2023 | 11 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 19 | |
| 6 | 2021 | 32 | |
| 7 | 2019 | 16 | |
| 8 | 2019 | 41 | |
| 9 | 2015 | 38 | |
| 10 | 2015 | 24 | |
| 11 | 2014 | 145 | |
| 12 | 2013 | 18 |
About Minlong Lu
Minlong Lu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 12 papers that have together received 356 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Human Pose and Action Recognition (2 papers), Video Analysis and Summarization (2 papers), Advanced Vision and Imaging (2 papers), Topic Modeling (2 papers), Web Data Mining and Analysis (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (240 citations), Human-Computer Interaction (48 citations), Signal Processing (37 citations), Biomedical Engineering (127 citations) and Artificial Intelligence (88 citations). Minlong Lu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ze-Nian Li, Zhaohui Wu, Kui Jia, Gang Pan, Yueming Wang, Yuting Zhang, Yueming Wang, Gang Pan, Jianqiao Li and Xiao Dong. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Cybernetics, IEEE Transactions on Multimedia and IEEE Computational Intelligence Magazine.
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.