Junliang Xing

16.8k total citations · 7 hit papers
152 papers, 8.1k citations indexed

About

Junliang Xing is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Junliang Xing has authored 152 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Computer Vision and Pattern Recognition, 43 papers in Artificial Intelligence and 15 papers in Biomedical Engineering. Recurrent topics in Junliang Xing's work include Video Surveillance and Tracking Methods (61 papers), Human Pose and Action Recognition (43 papers) and Face recognition and analysis (36 papers). Junliang Xing is often cited by papers focused on Video Surveillance and Tracking Methods (61 papers), Human Pose and Action Recognition (43 papers) and Face recognition and analysis (36 papers). Junliang Xing collaborates with scholars based in China, Singapore and United States. Junliang Xing's co-authors include Cuiling Lan, Wenjun Zeng, Qiang Wang, Bo Li, Fangyi Zhang, Junjie Yan, Wei Wu, Weiming Hu, Jiaying Liu and Sijie Song and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Junliang Xing

139 papers receiving 7.9k citations

Hit Papers

SiamRPN++: Evolution of Siamese Visual Tracking With Very... 2016 2026 2019 2022 2019 2017 2016 2017 2018 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junliang Xing China 37 7.2k 2.0k 1.7k 902 786 152 8.1k
Kaiqi Huang China 38 5.9k 0.8× 1.5k 0.8× 916 0.5× 633 0.7× 306 0.4× 198 6.7k
Dariu M. Gavrila Netherlands 38 6.2k 0.9× 1.5k 0.7× 669 0.4× 940 1.0× 567 0.7× 101 7.7k
Wengang Zhou China 49 8.0k 1.1× 1.5k 0.8× 1.5k 0.9× 1.2k 1.4× 2.4k 3.1× 287 10.3k
Ying Wu United States 50 8.4k 1.2× 3.1k 1.5× 1.4k 0.8× 576 0.6× 1.3k 1.6× 277 10.7k
Christoph Feichtenhofer United States 23 7.7k 1.1× 4.2k 2.1× 1.4k 0.8× 518 0.6× 691 0.9× 34 10.6k
L.S. Davis United States 49 10.7k 1.5× 2.4k 1.2× 1.3k 0.8× 1.6k 1.7× 868 1.1× 171 12.7k
Shaogang Gong United Kingdom 68 15.1k 2.1× 5.1k 2.6× 3.7k 2.1× 448 0.5× 792 1.0× 287 17.2k
Jianbing Shen China 40 6.1k 0.9× 1.6k 0.8× 816 0.5× 583 0.6× 247 0.3× 85 7.9k
Alper Yılmaz United States 23 4.7k 0.6× 994 0.5× 509 0.3× 1.2k 1.3× 355 0.5× 130 6.0k
Wenjun Zeng China 48 9.3k 1.3× 2.9k 1.5× 2.1k 1.2× 369 0.4× 872 1.1× 276 11.5k

Countries citing papers authored by Junliang Xing

Since Specialization
Citations

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

Fields of papers citing papers by Junliang Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junliang Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Junliang Xing. A scholar is included among the top collaborators of Junliang Xing 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 Junliang Xing. Junliang Xing 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.
Zhao, Enmin, et al.. (2025). Leveraging Privileged Information for Partially Observable Reinforcement Learning. IEEE Transactions on Games. 17(3). 765–776.
2.
Tao, Pin, et al.. (2024). Complex pathways to cooperation emergent from asymmetry in heterogeneous populations. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(2). 6 indexed citations
3.
Jia, Danyang, Shen Chen, Xiangfeng Dai, et al.. (2024). Freedom of choice disrupts cyclic dominance but maintains cooperation in voluntary prisoner’s dilemma game. Knowledge-Based Systems. 299. 111962–111962. 9 indexed citations
4.
Fu, Qiang, et al.. (2024). Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12376–12384. 1 indexed citations
5.
Jin, Lei, Yinglei Teng, Jianshu Li, et al.. (2024). UniParser: Multi-Human Parsing With Unified Correlation Representation Learning. IEEE Transactions on Image Processing. 33. 5159–5171. 2 indexed citations
7.
Li, Kai, et al.. (2024). Towards Robust Pansharpening: A Large-Scale High-Resolution Multi-Scene Dataset and Novel Approach. Remote Sensing. 16(16). 2899–2899. 4 indexed citations
8.
Jin, Lei, Jianshu Li, Fang Zhao, et al.. (2024). SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement. 1824–1833.
9.
Jin, Lei, et al.. (2023). DecenterNet: Bottom-Up Human Pose Estimation Via Decentralized Pose Representation. 1798–1808. 9 indexed citations
10.
Jin, Lei, Yinglei Teng, Yunchao Wei, et al.. (2023). Single-Stage Multi-human Parsing via Point Sets and Center-based Offsets. 1863–1873. 5 indexed citations
11.
Wu, Haozhe, et al.. (2023). Speech-Driven 3D Face Animation with Composite and Regional Facial Movements. 6822–6830. 7 indexed citations
12.
Liu, Ajian, Chenxu Zhao, Zitong Yu, et al.. (2022). Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection. IEEE Transactions on Information Forensics and Security. 17. 2497–2507. 83 indexed citations
13.
Jiang, Nan, Xuehui Yu, Qiang Wang, et al.. (2021). Anti-UAV: A Large-Scale Benchmark for Vision-Based UAV Tracking. IEEE Transactions on Multimedia. 25. 486–500. 85 indexed citations
14.
Zhao, Jian, Junliang Xing, Lin Xiong, Shuicheng Yan, & Jiashi Feng. (2019). Recognizing Profile Faces by Imagining Frontal View. International Journal of Computer Vision. 128(2). 460–478. 32 indexed citations
15.
Chi, Cheng, Shifeng Zhang, Junliang Xing, et al.. (2019). Selective Refinement Network for High Performance Face Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8231–8238. 92 indexed citations
16.
Zhao, Jian, Lin Xiong, Jianshu Li, et al.. (2018). 3D-Aided Dual-Agent GANs for Unconstrained Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(10). 2380–2394. 110 indexed citations
17.
Ai, Haizhou, et al.. (2018). ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection. Asian Conference on Machine Learning. 486–501. 1 indexed citations
18.
Su, Chi, Jianing Li, Shiliang Zhang, et al.. (2017). Pose-Driven Deep Convolutional Model for Person Re-identification. 3980–3989. 594 indexed citations breakdown →
19.
Sun, Ke, Cuiling Lan, Junliang Xing, et al.. (2017). Human Pose Estimation Using Global and Local Normalization. 5600–5608. 50 indexed citations
20.
Tian, Yonghong, Hongkai Xiong, Hongliang Li, et al.. (2017). Towards human-like and transhuman perception in AI 2.0: a review. Frontiers of Information Technology & Electronic Engineering. 18(1). 58–67. 32 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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