Junnan Li
Impact in
- Software top 5%
-
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Advanced Neural Network Applications
Papers in
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- Advanced Neural Network Applications 5
- Multimodal Machine Learning Applications 5
- Human Pose and Action Recognition 4
- Video Surveillance and Tracking Methods 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)Akhilesh Deepak Gotmare (2 shared papers)Hung Lê (1 shared paper)Yue Wang (1 shared paper)Mohan Kankanhalli (7 shared papers)Yiliang He (4 shared papers)Karina Yew‐Hoong Gin (4 shared papers)
- Journals
- Environmental Pollution (1 paper)Pattern Recognition Letters (1 paper)PeerJ Computer Science (1 paper)The Science of The Total Environment (1 paper)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Junnan Li
27 papers receiving 701 citations
Junnan Li's Hit Papers
Peers
Comparison fields: 5 of 84
- Software 68
- Computer Vision and Pattern Recognition 202
- Artificial Intelligence 301
- Pollution 106
- Industrial and Manufacturing Engineering 57
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 30 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 | 175 |
| 2 | 2021 | 166 | |
| 3 | 2021 | 57 | |
| 4 | 2023 | 50 | |
| 5 | 2017 | 33 | |
| 6 | 2019 | 32 | |
| 7 | 2022 | 30 | |
| 8 | 2022 | 24 | |
| 9 | Unsupervised Learning of View-invariant Action Representations | 2018 | 21 |
| 10 | 2020 | 16 | |
| 11 | 2018 | 13 | |
| 12 | 2020 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 2023 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2020 | 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 30 papers that have together received 711 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (5 papers), Multimodal Machine Learning Applications (5 papers), Human Pose and Action Recognition (4 papers), Video Surveillance and Tracking Methods (4 papers), Microplastics and Plastic Pollution (3 papers), Gait Recognition and Analysis (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Software (68 citations), Computer Vision and Pattern Recognition (202 citations), Artificial Intelligence (301 citations), Pollution (106 citations) and Industrial and Manufacturing Engineering (57 citations). Junnan Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Steven C. H. Hoi, Caiming Xiong, Akhilesh Deepak Gotmare, Hung Lê, Yue Wang, Mohan Kankanhalli, Yiliang He, Karina Yew‐Hoong Gin, Yongkang Wong and Mui‐Choo Jong. Their work appears in journals such as Environmental Pollution, Pattern Recognition Letters, PeerJ Computer Science, The Science of The Total Environment and IEEE Robotics and Automation Letters.
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.