Junnan Li

1.8k total citations · 1 hit paper
29 papers, 668 citations indexed

About

Junnan Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Junnan Li has authored 29 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Junnan Li's work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (5 papers) and Multimodal Machine Learning Applications (5 papers). Junnan Li is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (5 papers) and Multimodal Machine Learning Applications (5 papers). Junnan Li collaborates with scholars based in China, Singapore and United States. Junnan Li's co-authors include Steven C. H. Hoi, Caiming Xiong, Akhilesh Deepak Gotmare, Yue Wang, Hung Lê, Mohan Kankanhalli, Yiliang He, Karina Yew‐Hoong Gin, Yongkang Wong and Mui‐Choo Jong and has published in prestigious journals such as The Science of The Total Environment, Water Research and Journal of Hazardous Materials.

In The Last Decade

Junnan Li

26 papers receiving 656 citations

Hit Papers

CodeT5+: Open Code Large Language Models for Code Underst... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Junnan Li China 13 291 198 135 100 76 29 668
Zhi Zeng China 7 173 0.6× 124 0.6× 112 0.8× 27 0.3× 175 2.3× 10 557
Bruno Baruque Spain 12 174 0.6× 100 0.5× 44 0.3× 13 0.1× 75 1.0× 30 452
Zhiqiang Wang China 13 246 0.8× 129 0.7× 136 1.0× 9 0.1× 142 1.9× 77 610
Awni Hammouri Jordan 5 117 0.4× 46 0.2× 106 0.8× 4 0.0× 73 1.0× 11 543
Haobo Wang China 14 244 0.8× 102 0.5× 76 0.6× 6 0.1× 20 0.3× 56 473
Xuelian Deng China 4 253 0.9× 54 0.3× 96 0.7× 4 0.0× 32 0.4× 9 453
Saptarshi Sengupta United States 10 206 0.7× 70 0.4× 33 0.2× 4 0.0× 52 0.7× 29 588
Yongheng Wang China 13 169 0.6× 115 0.6× 67 0.5× 3 0.0× 112 1.5× 94 584
Saddaf Rubab Pakistan 14 146 0.5× 125 0.6× 83 0.6× 6 0.1× 97 1.3× 51 591

Countries citing papers authored by Junnan Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Junnan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Junnan Li. A scholar is included among the top collaborators of Junnan Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junnan Li. Junnan Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Yuhao, Yue Wang, Ziyang Luo, et al.. (2025). Aria-UI: Visual Grounding for GUI Instructions. 22418–22433. 1 indexed citations
2.
Li, Tianyun, et al.. (2025). EasyViT: An Adaptive Collaborative Edge Computing Framework for Vision Transformer. IEEE Internet of Things Journal. 12(16). 33885–33898.
3.
Fu, Songnian, Junnan Li, & Lufeng Wang. (2025). RA-QoS: a robust autoencoder-based QoS predictor for highly accurate web service QoS prediction. PeerJ Computer Science. 11. e2928–e2928.
4.
Tiong, Anthony Meng Huat, Junnan Li, Guosheng Lin, et al.. (2023). Improving Tail-Class Representation with Centroid Contrastive Learning. Pattern Recognition Letters. 168. 123–130. 6 indexed citations
5.
Wang, Yue, et al.. (2023). CodeT5+: Open Code Large Language Models for Code Understanding and Generation. 1069–1088. 159 indexed citations breakdown →
6.
Dai, Yutong, et al.. (2023). Tackling Data Heterogeneity in Federated Learning with Class Prototypes. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7314–7322. 43 indexed citations
7.
Li, Junnan, Mui‐Choo Jong, Karina Yew‐Hoong Gin, & Yiliang He. (2023). Size-dominated biotoxicity of microplastics laden with benzophenone-3 and ciprofloxacin: Enhanced integrated biomarker evaluation on mussels. Environmental Pollution. 333. 122018–122018. 7 indexed citations
8.
Gotmare, Akhilesh Deepak, Junnan Li, Shafiq Joty, & Steven C. H. Hoi. (2023). Efficient Text-to-Code Retrieval with Cascaded Fast and Slow Transformer Models. 388–400. 3 indexed citations
9.
Jong, Mui‐Choo, et al.. (2022). Impacts of size-fractionation on toxicity of marine microplastics: Enhanced integrated biomarker assessment in the tropical mussels, Perna viridis. The Science of The Total Environment. 835. 155459–155459. 30 indexed citations
10.
Yang, Jun, Yu Xie, Kaifeng Yu, et al.. (2022). Removal behavior and key drivers of antibiotic resistance genes in two full-scale leachate treatment plants. Water Research. 226. 119239–119239. 21 indexed citations
11.
Jong, Mui‐Choo, Xuneng Tong, Junnan Li, et al.. (2021). Microplastics in equatorial coasts: Pollution hotspots and spatiotemporal variations associated with tropical monsoons. Journal of Hazardous Materials. 424(Pt C). 127626–127626. 52 indexed citations
12.
Wang, Tao, Li Yu, Bingyi Kang, et al.. (2020). The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation. Lecture notes in computer science. 728–744. 11 indexed citations
13.
Li, Junnan, Yongkang Wong, Qi Zhao, & Mohan Kankanhalli. (2020). Visual Social Relationship Recognition. International Journal of Computer Vision. 128(6). 1750–1764. 16 indexed citations
14.
Yang, Hui, et al.. (2020). MsBV: A Memory Compression Scheme for Bit-Vector-Based Classification Lookup Tables. IEEE Access. 8. 38673–38681. 6 indexed citations
15.
Li, Junnan, et al.. (2020). GradMix: Multi-source Transfer across Domains and Tasks. National University of Singapore. 3008–3016. 3 indexed citations
16.
Li, Junnan, et al.. (2020). Learning on the Fly: An RNN-Based Online Throughput Prediction Framework for UAV Communications. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 6 indexed citations
17.
Li, Junnan, et al.. (2020). ARVMEC: Adaptive Recommendation of Virtual Machines for IoT in Edge–Cloud Environment. Journal of Parallel and Distributed Computing. 141. 23–34. 12 indexed citations
18.
Lu, Li, Junnan Li, Lei Qin, et al.. (2019). Deep Reinforcement Learning in Soft Viscoelastic Actuator of Dielectric Elastomer. IEEE Robotics and Automation Letters. 4(2). 2094–2100. 29 indexed citations
19.
Li, Junnan, et al.. (2018). Unsupervised Learning of View-invariant Action Representations. arXiv (Cornell University). 31. 1254–1264. 21 indexed citations
20.
Li, Junnan, Yongkang Wong, Qi Zhao, & Mohan Kankanhalli. (2017). Attention Transfer from Web Images for Video Recognition. Zenodo (CERN European Organization for Nuclear Research). 1–9. 33 indexed citations

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.

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