Jun Xiao

9.5k total citations · 1 hit paper
175 papers, 5.2k citations indexed

About

Jun Xiao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Jun Xiao has authored 175 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Computer Vision and Pattern Recognition, 68 papers in Artificial Intelligence and 21 papers in Control and Systems Engineering. Recurrent topics in Jun Xiao's work include Multimodal Machine Learning Applications (55 papers), Human Pose and Action Recognition (49 papers) and Domain Adaptation and Few-Shot Learning (39 papers). Jun Xiao is often cited by papers focused on Multimodal Machine Learning Applications (55 papers), Human Pose and Action Recognition (49 papers) and Domain Adaptation and Few-Shot Learning (39 papers). Jun Xiao collaborates with scholars based in China, United States and Singapore. Jun Xiao's co-authors include Long Chen, Hanwang Zhang, Yueting Zhuang, Jian Shao, Wei Liu, Tat‐Seng Chua, Liqiang Nie, Songyang Zhang, Zhou Zhao and Xiaoming Liu and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Jun Xiao

161 papers receiving 5.1k citations

Hit Papers

SCA-CNN: Spatial and Channel-Wise Attention in Convolutio... 2017 2026 2020 2023 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Xiao China 31 3.8k 2.3k 368 263 234 175 5.2k
Chen Sun China 23 2.3k 0.6× 1.9k 0.9× 256 0.7× 359 1.4× 82 0.4× 69 4.6k
Mingli Song China 40 3.9k 1.0× 1.5k 0.7× 353 1.0× 172 0.7× 171 0.7× 237 5.5k
Xiaodan Liang China 51 6.6k 1.7× 3.7k 1.6× 281 0.8× 209 0.8× 155 0.7× 239 8.7k
Guanbin Li China 43 5.5k 1.4× 2.5k 1.1× 180 0.5× 214 0.8× 239 1.0× 192 7.4k
Lixin Duan China 32 2.8k 0.7× 2.9k 1.3× 351 1.0× 126 0.5× 168 0.7× 101 4.5k
Sujing Wang China 37 2.5k 0.6× 1.5k 0.6× 291 0.8× 176 0.7× 474 2.0× 182 5.7k
Kelvin Xu United States 6 3.0k 0.8× 2.3k 1.0× 156 0.4× 136 0.5× 91 0.4× 10 4.5k
Jiancheng Lv China 29 2.0k 0.5× 1.8k 0.8× 173 0.5× 165 0.6× 82 0.4× 195 3.9k
Ting Yao China 45 7.4k 1.9× 3.4k 1.5× 741 2.0× 173 0.7× 365 1.6× 221 9.6k

Countries citing papers authored by Jun Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Xiao. A scholar is included among the top collaborators of Jun Xiao 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 Jun Xiao. Jun Xiao 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.
Wang, Zhen, et al.. (2025). Compositional Zero-shot Learning via Progressive Language-based Observations. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3827–3836.
2.
Zhang, Chao, et al.. (2025). EduPlanner: LLM-Based Multiagent Systems for Customized and Intelligent Instructional Design. IEEE Transactions on Learning Technologies. 18. 416–427. 4 indexed citations
3.
Lin, T. Y., Wenqiao Zhang, Xiaohui Song, et al.. (2025). EyecareGPT: Boosting Comprehensive Ophthalmology Understanding with Tailored Dataset, Benchmark and Model. 3893–3902.
4.
Wang, Zhen, Jun Xiao, Yueting Zhuang, et al.. (2024). Learning Combinatorial Prompts for Universal Controllable Image Captioning. International Journal of Computer Vision. 133(1). 129–150. 5 indexed citations
5.
Quan, Ruijie, et al.. (2024). Neural Interaction Energy for Multi-Agent Trajectory Prediction. 1952–1960. 1 indexed citations
6.
Luo, Yawei, et al.. (2024). Knowledge-Guided Causal Intervention for Weakly-Supervised Object Localization. IEEE Transactions on Knowledge and Data Engineering. 36(11). 6477–6489. 3 indexed citations
7.
Xiao, Jun, et al.. (2024). NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(10). 6873–6888. 7 indexed citations
8.
Wang, Dandan, Shiqing Zhang, Xiaoming Zhao, et al.. (2024). Text-guided multimodal depression detection via cross-modal feature reconstruction and decomposition. Information Fusion. 117. 102861–102861. 12 indexed citations
9.
Wang, Jin, Yanjun Jiang, Yanyi Liu, et al.. (2023). High performance and mechanism of Tl(I) removal from solution by synergetic application of nanowire γ-MnOOH@biochar and free radicals: Implications to AMD treatment. Journal of Water Process Engineering. 54. 103948–103948. 4 indexed citations
10.
Li, Qian, Na Li, Liang Xiao, et al.. (2023). The study of antecedent clinical manifestations of hypertensive heart disease in cohort of hypertension. Aging. 15(6). 1890–1917. 3 indexed citations
11.
Luo, Yawei, et al.. (2023). Taking a Closer Look At Visual Relation: Unbiased Video Scene Graph Generation With Decoupled Label Learning. IEEE Transactions on Multimedia. 26. 5718–5728. 7 indexed citations
12.
Su, Yuting, et al.. (2023). Dual-Path Rare Content Enhancement Network for Image and Text Matching. IEEE Transactions on Circuits and Systems for Video Technology. 33(10). 6144–6158. 32 indexed citations
13.
Luo, Yawei, et al.. (2023). Dark Knowledge Balance Learning for Unbiased Scene Graph Generation. 4838–4847. 4 indexed citations
14.
Yang, Zongxin, et al.. (2023). CATR: Combinatorial-Dependence Audio-Queried Transformer for Audio-Visual Video Segmentation. 1485–1494. 30 indexed citations
15.
Xiao, Jun, Wenxiao Wang, Jian Shao, et al.. (2023). Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation. IEEE Transactions on Circuits and Systems for Video Technology. 34(1). 195–206. 14 indexed citations
16.
Zhang, Fengda, et al.. (2023). Unified fair federated learning for digital healthcare. Patterns. 5(1). 100907–100907. 17 indexed citations
17.
Kuang, Kun, Yating Zhang, Xiaozhong Liu, et al.. (2020). De-Biased Court’s View Generation with Causality. 763–780. 54 indexed citations
18.
Lu, Chujie, et al.. (2019). DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5143–5152. 86 indexed citations
19.
Zhang, Songyang, Yang Yang, Jun Xiao, et al.. (2018). Fusing Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks. IEEE Transactions on Multimedia. 20(9). 2330–2343. 146 indexed citations
20.
Zhuang, Yueting, et al.. (2005). Automatic generation of human animation based on motion programming: Virtual Humans and Social Agents. Computer Animation and Virtual Worlds. 16(3). 305–318. 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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