Wenbin Li

2.3k total citations · 1 hit paper
66 papers, 1.3k citations indexed

About

Wenbin Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Wenbin Li has authored 66 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 30 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Wenbin Li's work include Domain Adaptation and Few-Shot Learning (16 papers), Multimodal Machine Learning Applications (10 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Wenbin Li is often cited by papers focused on Domain Adaptation and Few-Shot Learning (16 papers), Multimodal Machine Learning Applications (10 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Wenbin Li collaborates with scholars based in China, United States and Australia. Wenbin Li's co-authors include Yang Gao, Jing Huo, Jiebo Luo, Lei Wang, Jinglin Xu, Yang Pan, Yinghuan Shi, Ying Wang, Hao An and Hao Cui and has published in prestigious journals such as Environmental Science & Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Water Research.

In The Last Decade

Wenbin Li

59 papers receiving 1.2k citations

Hit Papers

Revisiting Local Descriptor Based Image-To-Class Measure ... 2019 2026 2021 2023 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning
    2019 406 citations Wenbin Li, Lei Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenbin Li China 16 707 639 138 133 85 66 1.3k
Yuting Zhang China 18 273 0.4× 649 1.0× 89 0.6× 27 0.2× 68 0.8× 72 1.2k
Shu Zhang China 18 309 0.4× 594 0.9× 27 0.2× 40 0.3× 168 2.0× 115 1.5k
Rui Yan China 17 796 1.1× 881 1.4× 59 0.4× 22 0.2× 39 0.5× 62 1.5k
Junjie Huang China 18 301 0.4× 581 0.9× 13 0.1× 22 0.2× 192 2.3× 94 1.3k
Reshad Hosseini Iran 15 271 0.4× 267 0.4× 14 0.1× 66 0.5× 32 0.4× 48 764
Zechun Liu China 17 537 0.8× 567 0.9× 9 0.1× 80 0.6× 39 0.5× 48 1.2k
Liping Zhang China 18 334 0.5× 275 0.4× 30 0.2× 38 0.3× 36 0.4× 75 1.2k
Lei Gong China 18 277 0.4× 467 0.7× 39 0.3× 64 0.5× 47 0.6× 77 1.2k
Osman N. Uçan Türkiye 16 333 0.5× 321 0.5× 19 0.1× 100 0.8× 72 0.8× 134 990
Bin Luo China 14 202 0.3× 389 0.6× 43 0.3× 13 0.1× 149 1.8× 45 711

Countries citing papers authored by Wenbin Li

Since Specialization
Citations

This map shows the geographic impact of Wenbin 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 Wenbin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenbin Li more than expected).

Fields of papers citing papers by Wenbin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wenbin 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 Wenbin Li. The network helps show where Wenbin Li may publish in the future.

Co-authorship network of co-authors of Wenbin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Wenbin Li. A scholar is included among the top collaborators of Wenbin 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 Wenbin Li. Wenbin 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.
Li, Wenbin, Tianyu Ding, Lei Wang, et al.. (2025). ONNXPruner: ONNX-Based General Model Pruning Adapter. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5806–5817. 1 indexed citations
2.
Li, Wenbin, et al.. (2025). Leveraging Frequency Analysis for Image Denoising Network Pruning. IEEE Transactions on Image Processing. 34. 1660–1671.
3.
Ding, Tianyu, Jing Huo, Yuxin Li, et al.. (2025). 3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 6832–6852. 14 indexed citations
4.
Wang, Haoran, et al.. (2025). WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM With Sub-Class Exploration and Prompt Affinity Mining. IEEE Transactions on Medical Imaging. 44(7). 2795–2807. 3 indexed citations
5.
Li, Wenbin, et al.. (2024). Learning Multi-Intersection Traffic Signal Control via Coevolutionary Multi-Agent Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. 25(11). 15947–15963. 3 indexed citations
6.
Huo, Jing, et al.. (2024). Towards efficient image and video style transfer via distillation and learnable feature transformation. Computer Vision and Image Understanding. 241. 103947–103947. 3 indexed citations
7.
Bao, Yanqi, et al.. (2023). Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. 2180–2188. 3 indexed citations
8.
Mao, Hangyu, et al.. (2023). WToE: Learning When to Explore in Multiagent Reinforcement Learning. IEEE Transactions on Cybernetics. 54(8). 4789–4801. 3 indexed citations
9.
Li, Wenbin, Jing Huo, Yinghuan Shi, et al.. (2023). LibFewShot: A Comprehensive Library for Few-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14938–14955. 48 indexed citations
10.
11.
Li, Wenbin, Lei Wang, Xingxing Zhang, et al.. (2022). Defensive Few-shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 1–18. 7 indexed citations
12.
Huo, Jing, et al.. (2022). CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation. IEEE Transactions on Image Processing. 31. 3347–3358. 8 indexed citations
13.
Huang, Hongwei, et al.. (2021). Local descriptor-based multi-prototype network for few-shot Learning. Pattern Recognition. 116. 107935–107935. 68 indexed citations
14.
Gu, Zheng, et al.. (2021). CariMe: Unpaired Caricature Generation With Multiple Exaggerations. IEEE Transactions on Multimedia. 24. 2673–2686. 9 indexed citations
15.
Zhu, Pengfei, et al.. (2020). Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification. 196–200. 6 indexed citations
16.
Li, Wenbin, et al.. (2020). Unsupervised Few-shot Learning via Distribution Shift-based Augmentation. arXiv (Cornell University). 8 indexed citations
17.
Shi, Yinghuan, et al.. (2018). A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images. 3892–3897. 15 indexed citations
18.
Huo, Jing, Wenbin Li, Yinghuan Shi, Yang Gao, & Hujun Yin. (2017). WebCaricature: a benchmark for caricature face recognition. arXiv (Cornell University). 223. 15 indexed citations
19.
Zhang, Degan, Wenbin Li, Si Liu, & Xiaodan Zhang. (2016). Novel fusion computing method for bio-medical image of WSN based on spherical coordinate. Journal of Vibroengineering. 18(1). 522–538. 30 indexed citations
20.
Li, Wenbin, Chunnian Liu, & Ning Zhong. (2003). Design and implementation of an E-Mail classifier. 423–430.

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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