Jian Yang

45.1k total citations · 18 hit papers
647 papers, 28.4k citations indexed

About

Jian Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Jian Yang has authored 647 papers receiving a total of 28.4k indexed citations (citations by other indexed papers that have themselves been cited), including 459 papers in Computer Vision and Pattern Recognition, 153 papers in Artificial Intelligence and 122 papers in Computational Mechanics. Recurrent topics in Jian Yang's work include Face and Expression Recognition (183 papers), Sparse and Compressive Sensing Techniques (95 papers) and Advanced Neural Network Applications (72 papers). Jian Yang is often cited by papers focused on Face and Expression Recognition (183 papers), Sparse and Compressive Sensing Techniques (95 papers) and Advanced Neural Network Applications (72 papers). Jian Yang collaborates with scholars based in China, Hong Kong and United States. Jian Yang's co-authors include David Zhang, Jingyu Yang, Ying Tai, Xiaoming Liu, Alejandro F. Frangi, Yong Xu, Xiaolin Hu, Xiang Li, Wenhai Wang and Chunyan Xu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Jian Yang

608 papers receiving 27.5k citations

Hit Papers

Two-dimensional pca: a new approach to appearance-based f... 2002 2026 2010 2018 2004 2019 2017 2017 2015 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian Yang China 74 20.3k 6.7k 6.1k 3.5k 3.0k 647 28.4k
Wangmeng Zuo China 78 25.4k 1.3× 10.0k 1.5× 5.0k 0.8× 3.0k 0.8× 2.9k 1.0× 400 35.1k
Xiaoou Tang Hong Kong 81 35.4k 1.7× 7.4k 1.1× 6.5k 1.1× 3.5k 1.0× 4.5k 1.5× 267 42.5k
Xuelong Li China 109 32.8k 1.6× 9.4k 1.4× 11.7k 1.9× 3.5k 1.0× 3.4k 1.1× 773 46.5k
Baining Guo China 59 19.0k 0.9× 4.0k 0.6× 5.7k 0.9× 5.1k 1.4× 1.2k 0.4× 255 30.8k
Jian Sun China 64 23.6k 1.2× 5.8k 0.9× 3.4k 0.6× 3.0k 0.8× 1.7k 0.6× 186 31.1k
John Wright United States 34 14.9k 0.7× 5.6k 0.8× 3.3k 0.5× 8.2k 2.3× 3.6k 1.2× 95 22.5k
Stephen Lin China 47 18.6k 0.9× 5.3k 0.8× 6.3k 1.0× 1.3k 0.4× 1.2k 0.4× 118 27.7k
Jiashi Feng Singapore 75 18.0k 0.9× 3.1k 0.5× 7.7k 1.3× 1.8k 0.5× 1.4k 0.5× 278 26.0k
Xinbo Gao China 76 19.7k 1.0× 6.0k 0.9× 5.4k 0.9× 1.0k 0.3× 2.0k 0.7× 1.0k 26.8k
Dragomir Anguelov United States 30 21.5k 1.1× 3.2k 0.5× 10.5k 1.7× 1.9k 0.5× 2.2k 0.7× 57 37.3k

Countries citing papers authored by Jian Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jian Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Yang. A scholar is included among the top collaborators of Jian Yang 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 Jian Yang. Jian Yang 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.
Chen, Xiaobo, et al.. (2025). Heterogeneous hypergraph transformer network with cross-modal future interaction for multi-agent trajectory prediction. Engineering Applications of Artificial Intelligence. 144. 110125–110125. 4 indexed citations
2.
Liu, Hongtao, et al.. (2025). A Survey on LLM-powered Agents for Recommender Systems. 11574–11583.
3.
Li, Zheng, Xiang Li, Lingfeng Yang, et al.. (2024). Dual teachers for self-knowledge distillation. Pattern Recognition. 151. 110422–110422. 16 indexed citations
4.
Tao, Haisu, et al.. (2024). Real-time deformable SLAM with geometrically adapted template for dynamic monocular laparoscopic scenes. International Journal of Computer Assisted Radiology and Surgery. 19(7). 1375–1383.
5.
Liu, Jiaheng, Wangchunshu Zhou, Yuhan Wu, et al.. (2024). RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. 14743–14777. 22 indexed citations
6.
Li, Gang, Xiang Li, Shanshan Zhang, & Jian Yang. (2024). Towards more reliable evaluation in pedestrian detection by rethinking “ignore regions”. 2(1).
7.
Zhang, Hengmin, Jian Yang, Jianjun Qian, et al.. (2024). Faster nonconvex low-rank matrix learning for image low-level and high-level vision: A unified framework. Information Fusion. 108. 102347–102347. 13 indexed citations
9.
Wei, Jianfeng, et al.. (2023). Adaptive Regression Analysis of Heterogeneous Data Streams via Models with Dynamic Effects. Mathematics. 11(24). 4899–4899. 2 indexed citations
10.
Zhang, Zhenyu, et al.. (2023). DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3109–3117. 13 indexed citations
11.
Yang, Jian, et al.. (2023). Component Analysis and Classification Model of Ancient Glassware Based on K-means Clustering and Random Forest. Highlights in Science Engineering and Technology. 42. 397–405.
12.
Jiang, Haobo, et al.. (2023). Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3404–3414. 7 indexed citations
13.
Li, Yuxuan, Qibin Hou, Zhaohui Zheng, et al.. (2023). Large Selective Kernel Network for Remote Sensing Object Detection. 16748–16759. 401 indexed citations breakdown →
14.
Zhang, Hengmin, Feng Qian, Peng Shi, et al.. (2022). Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis. IEEE Transactions on Neural Networks and Learning Systems. 34(9). 5342–5353. 30 indexed citations
15.
Xiang, Li, Wenhai Wang, Xiaolin Hu, et al.. (2021). Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection. 11627–11636. 270 indexed citations breakdown →
16.
Yang, Yang, Da-Wei Zhou, De‐Chuan Zhan, et al.. (2021). Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling. IEEE Transactions on Knowledge and Data Engineering. 35(4). 3575–3588. 22 indexed citations
17.
Chen, Di, Shanshan Zhang, Jian Yang, & Bernt Schiele. (2020). Norm-Aware Embedding for Efficient Person Search. 12612–12621. 92 indexed citations
18.
Wang, Chaoqun, Chunyan Xu, Zhen Cui, et al.. (2020). Cross-Modal Pattern-Propagation for RGB-T Tracking. 7062–7071. 94 indexed citations
19.
Luo, Wei, Xitong Yang, Yuheng Lu, et al.. (2019). Cross-X Learning for Fine-Grained Visual Categorization. 8241–8250. 170 indexed citations
20.
Zhang, Yigong, et al.. (2019). Integrating Dense LiDAR-Camera Road Detection Maps by a Multi-Modal CRF Model. IEEE Transactions on Vehicular Technology. 68(12). 11635–11645. 20 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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