Junnan Li
Impact in
- Software top 5%
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Advanced Neural Network Applications
Papers in
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- Multimodal Machine Learning Applications 5
- Advanced Neural Network Applications 5
- Video Surveillance and Tracking Methods 4
- Human Pose and Action Recognition 4
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- Domain Adaptation and Few-Shot Learning 6
- Co-authors
- Steven C. H. Hoi (5 shared papers)Caiming Xiong (2 shared papers)Yue Wang (1 shared paper)Akhilesh Deepak Gotmare (2 shared papers)Hung Lê (1 shared paper)Mohan Kankanhalli (6 shared papers)Yiliang He (4 shared papers)Yongkang Wong (3 shared papers)
- Journals
- Future Generation Computer Systems (1 paper)Electronics (1 paper)Journal of Parallel and Distributed Computing (1 paper)IEEE Robotics and Automation Letters (1 paper)PeerJ Computer Science (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Junnan Li
26 papers receiving 656 citations
Junnan Li's Hit Papers
Peers
Comparison fields: 5 of 83
- Software 64
- Computer Vision and Pattern Recognition 198
- Artificial Intelligence 291
- Pollution 100
- Industrial and Manufacturing Engineering 54
Countries citing papers authored by Junnan Li
This map shows the geographic impact of Junnan Li'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 Junnan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junnan Li more than expected).
Fields of papers citing papers by Junnan Li
This network shows the impact of papers produced by Junnan Li. 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 Junnan Li. The network helps show where Junnan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Junnan Li, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CodeT5+: Open Code Large Language Models for Code Understanding and Generation Hit paper breakdown → | 2023 | 159 |
| 2 | 2021 | 159 | |
| 3 | 2021 | 52 | |
| 4 | 2023 | 43 | |
| 5 | 2017 | 33 | |
| 6 | 2022 | 30 | |
| 7 | 2019 | 29 | |
| 8 | Unsupervised Learning of View-invariant Action Representations | 2018 | 21 |
| 9 | 2022 | 21 | |
| 10 | 2020 | 16 | |
| 11 | 2018 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2018 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 2023 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2022 | 5 |
About Junnan Li
Junnan Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Pollution, having authored 29 papers that have together received 668 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (5 papers), Video Surveillance and Tracking Methods (4 papers), Human Pose and Action Recognition (4 papers), Caching and Content Delivery (3 papers), Gait Recognition and Analysis (3 papers) and Microplastics and Plastic Pollution (3 papers). The work is most often cited by research in Software (64 citations), Computer Vision and Pattern Recognition (198 citations), Artificial Intelligence (291 citations), Pollution (100 citations) and Industrial and Manufacturing Engineering (54 citations). Junnan Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Steven C. H. Hoi, Caiming Xiong, Yue Wang, Akhilesh Deepak Gotmare, Hung Lê, Mohan Kankanhalli, Yiliang He, Yongkang Wong, Karina Yew‐Hoong Gin and Mui‐Choo Jong. Their work appears in journals such as Future Generation Computer Systems, Electronics, Journal of Parallel and Distributed Computing, IEEE Robotics and Automation Letters and PeerJ Computer Science.
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.