Wu-Jun Li

4.8k total citations · 2 hit papers
70 papers, 3.0k citations indexed

About

Wu-Jun Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Wu-Jun Li has authored 70 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 31 papers in Computer Vision and Pattern Recognition and 7 papers in Computational Mechanics. Recurrent topics in Wu-Jun Li's work include Advanced Image and Video Retrieval Techniques (16 papers), Face and Expression Recognition (9 papers) and Video Analysis and Summarization (8 papers). Wu-Jun Li is often cited by papers focused on Advanced Image and Video Retrieval Techniques (16 papers), Face and Expression Recognition (9 papers) and Video Analysis and Summarization (8 papers). Wu-Jun Li collaborates with scholars based in China, Hong Kong and United States. Wu-Jun Li's co-authors include Qing-Yuan Jiang, Dongqing Zhang, Weihao Kong, Minyi Guo, Wang-Cheng Kang, Zhi‐Hua Zhou, Peichao Zhang, Wei Zhang, Dit Yan Yeung and Dit‐Yan Yeung and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Artificial Intelligence.

In The Last Decade

Wu-Jun Li

65 papers receiving 3.0k citations

Hit Papers

Deep Cross-Modal Hashing 2014 2026 2018 2022 2017 2014 200 400 600
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. Deep Cross-Modal Hashing
    2017 603 citations Qing-Yuan Jiang, Wu-Jun Li profile →
  2. Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization
    2014 480 citations Wu-Jun Li 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
Wu-Jun Li China 23 2.5k 700 160 156 154 70 3.0k
Chong Fu China 20 1.1k 0.5× 618 0.9× 63 0.4× 77 0.5× 55 0.4× 134 1.8k
Cor J. Veenman Netherlands 15 1.1k 0.4× 635 0.9× 130 0.8× 169 1.1× 44 0.3× 45 1.7k
Xue Lin United States 21 566 0.2× 759 1.1× 110 0.7× 79 0.5× 210 1.4× 109 1.5k
Muhammad Atif Tahir United Kingdom 20 704 0.3× 795 1.1× 181 1.1× 130 0.8× 102 0.7× 80 1.5k
D.A. Karras Greece 18 625 0.2× 424 0.6× 95 0.6× 73 0.5× 144 0.9× 160 1.5k
Sajjad Shaukat Jamal Saudi Arabia 26 1.2k 0.5× 971 1.4× 330 2.1× 245 1.6× 504 3.3× 120 2.2k
Nawal El‐Fishawy Egypt 21 536 0.2× 486 0.7× 216 1.4× 159 1.0× 273 1.8× 131 1.5k
Oded Maron United States 7 1.0k 0.4× 547 0.8× 56 0.3× 99 0.6× 49 0.3× 7 1.3k
Zengchang Qin China 20 850 0.3× 735 1.1× 84 0.5× 50 0.3× 21 0.1× 77 1.6k
Huisheng Zhang China 19 536 0.2× 570 0.8× 26 0.2× 82 0.5× 101 0.7× 81 1.4k

Countries citing papers authored by Wu-Jun Li

Since Specialization
Citations

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

Fields of papers citing papers by Wu-Jun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wu-Jun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Wu-Jun Li. A scholar is included among the top collaborators of Wu-Jun 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 Wu-Jun Li. Wu-Jun 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.
Kong, Na, Zhilong Wang, Hui Zhang, et al.. (2025). Deep learning-based prediction of individualized Real-time FSH doses in GnRH agonist long protocols. Journal of Translational Medicine. 23(1). 545–545.
2.
3.
Zhong, He, Tsz Ping Lam, Sheung Wai Law, et al.. (2024). Deep Learning-Based Prediction Model for the Cobb Angle in Adolescent Idiopathic Scoliosis Patients. Diagnostics. 14(12). 1263–1263. 4 indexed citations
4.
5.
Li, Wu-Jun, et al.. (2024). InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning. 23638–23647. 8 indexed citations
6.
Li, Wu-Jun, et al.. (2023). State-based episodic memory for multi-agent reinforcement learning. Machine Learning. 112(12). 5163–5190. 5 indexed citations
7.
8.
Li, Mingwei, et al.. (2018). Proximal SCOPE for Distributed Sparse Learning. Neural Information Processing Systems. 31. 6551–6560. 1 indexed citations
9.
Jiang, Qing-Yuan & Wu-Jun Li. (2017). Deep Cross-Modal Hashing. 3270–3278. 603 indexed citations breakdown →
10.
Xie, Yubo, et al.. (2015). Support Matrix Machines. International Conference on Machine Learning. 938–947. 49 indexed citations
11.
Xie, Cong, et al.. (2014). Distributed Power-law Graph Computing: Theoretical and Empirical Analysis. Neural Information Processing Systems. 27. 1673–1681. 59 indexed citations
12.
Zhang, Mei, Wu-Jun Li, Liang Yú, & Shengli Wu. (2014). The Suppressive Effect of Resveratrol on HIF-1α and VEGF Expression after Warm Ischemia and Reperfusion in Rat Liver. PLoS ONE. 9(10). e109589–e109589. 40 indexed citations
13.
Li, Wu-Jun, et al.. (2014). Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising. International Conference on Machine Learning. 802–810. 41 indexed citations
14.
Wang, Hao & Wu-Jun Li. (2013). Online egocentric models for citation networks. International Joint Conference on Artificial Intelligence. 2726–2732. 5 indexed citations
15.
Kong, Weihao & Wu-Jun Li. (2012). Isotropic Hashing. Neural Information Processing Systems. 25. 1646–1654. 189 indexed citations
16.
Li, Wu-Jun, Dit‐Yan Yeung, & Zhihua Zhang. (2011). Generalized latent factor models for social network analysis. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1705–1710. 21 indexed citations
17.
Zhang, Zhihua, Michael I. Jordan, Wu-Jun Li, & Dit‐Yan Yeung. (2009). Coherence Functions for Multicategory Margin-based Classification Methods. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5. 647–654. 6 indexed citations
18.
Li, Wu-Jun, Dit‐Yan Yeung, & Zhihua Zhang. (2009). Probabilistic Relational PCA. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 22. 1123–1131. 13 indexed citations
19.
Li, Wu-Jun, Zhihua Zhang, & Dit Yan Yeung. (2009). Latent Wishart Processes for Relational Kernel Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5. 336–343. 12 indexed citations
20.
Li, Wu-Jun, et al.. (2006). Ellipsometry Data Inverting Based on PSO. 1 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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