Junchi Yan

17.2k total citations · 10 hit papers
267 papers, 8.7k citations indexed

About

Junchi Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Junchi Yan has authored 267 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Computer Vision and Pattern Recognition, 117 papers in Artificial Intelligence and 26 papers in Signal Processing. Recurrent topics in Junchi Yan's work include Advanced Image and Video Retrieval Techniques (41 papers), Advanced Graph Neural Networks (39 papers) and Advanced Neural Network Applications (38 papers). Junchi Yan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (41 papers), Advanced Graph Neural Networks (39 papers) and Advanced Neural Network Applications (38 papers). Junchi Yan collaborates with scholars based in China, United States and Hong Kong. Junchi Yan's co-authors include Xue Yang, Xiaokang Yang, Hongyuan Zha, Tao He, Zi‐Ming Feng, Aoxiang Fan, Junjun Jiang, Xingyu Jiang, Jiayi Ma and Stephen M. Chu and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Advanced Functional Materials.

In The Last Decade

Junchi Yan

241 papers receiving 8.5k citations

Hit Papers

R3Det: Refined Single-Sta... 2019 2026 2021 2023 2021 2019 2020 2023 2021 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. R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
    2021 677 citations Xue Yang, Junchi Yan et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  2. SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
    2019 650 citations Xue Yang, Junchi Yan et al. profile →
  3. Image Matching from Handcrafted to Deep Features: A Survey
    2020 641 citations Junchi Yan et al. profile →
  4. Transformers in Time Series: A Survey
    2023 526 citations Junchi Yan et al. profile →
  5. Generalizing Face Forgery Detection with High-frequency Features
    2021 285 citations Junchi Yan et al. profile →
  6. Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
    2021 242 citations Xue Yang, Yue Zhou et al. profile →
  7. MMRotate
    2022 232 citations Yue Zhou, Xue Yang et al. profile →
  8. SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing
    2022 231 citations Xue Yang, Junchi Yan et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  9. Learning Modulated Loss for Rotated Object Detection
    2021 212 citations Xue Yang, Junchi Yan et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  10. ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection
    2024 50 citations Xue Yang, Junchi Yan et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Junchi Yan 5.0k 2.4k 1.5k 1.3k 672 267 8.7k
Quan Pan 1.9k 0.4× 3.1k 1.3× 1.3k 0.9× 1.1k 0.9× 431 0.6× 443 7.9k
Bin Luo 3.7k 0.7× 1.7k 0.7× 559 0.4× 1.2k 1.0× 505 0.8× 548 7.2k
Marcello Pelillo 3.3k 0.7× 1.7k 0.7× 763 0.5× 1.2k 0.9× 502 0.7× 157 5.5k
Yao Zhao 9.5k 1.9× 2.6k 1.1× 602 0.4× 1.7k 1.4× 794 1.2× 700 12.5k
Xiaochun Cao 10.4k 2.1× 4.1k 1.7× 609 0.4× 2.8k 2.2× 581 0.9× 426 15.3k
Chang Xu 7.5k 1.5× 4.2k 1.7× 627 0.4× 1.7k 1.4× 568 0.8× 266 12.3k
Jakob Verbeek 5.6k 1.1× 2.8k 1.2× 519 0.3× 778 0.6× 635 0.9× 88 8.8k
Shengyong Chen 4.3k 0.9× 1.8k 0.7× 1.8k 1.2× 747 0.6× 295 0.4× 469 9.5k
Raia Hadsell 5.8k 1.2× 5.9k 2.4× 753 0.5× 596 0.5× 883 1.3× 40 11.6k
Xiaojun Chang 6.8k 1.4× 5.6k 2.3× 499 0.3× 866 0.7× 1.0k 1.5× 290 12.7k

Countries citing papers authored by Junchi Yan

Since Specialization
Citations

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

Fields of papers citing papers by Junchi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junchi Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Junchi Yan. A scholar is included among the top collaborators of Junchi Yan 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 Junchi Yan. Junchi Yan 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, Zhihu, Shiwan Zhao, Yu Wang, et al.. (2025). Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives. 4925–4936.
2.
Xue, Chao, Jiaxing Li, Xiaoxing Wang, et al.. (2025). On neural architecture search and hyperparameter optimization: A max-flow based approach. Neural Networks. 188. 107507–107507. 2 indexed citations
3.
Liu, Qi, Hongbin Zhou, Zijun Chen, et al.. (2025). ChartX and ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning. IEEE Transactions on Image Processing. 34. 7436–7447.
4.
5.
Yan, Junchi, et al.. (2024). Double-Bounded Optimal Transport for Advanced Clustering and Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14982–14990. 1 indexed citations
6.
Li, Jie, et al.. (2024). Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach. Neural Networks. 181. 106652–106652. 1 indexed citations
7.
8.
Yan, Junchi, et al.. (2024). Unsupervised Video Moment Retrieval with Knowledge-Based Pseudo-Supervision Construction. ACM Transactions on Information Systems. 43(1). 1–26.
9.
Li, Yansheng, Xue Yang, Qi Wang, et al.. (2024). STAR: A First-Ever Dataset and a Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 1832–1849. 23 indexed citations
10.
Wu, Qitian, et al.. (2024). Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. 3173–3184. 7 indexed citations
11.
Wu, Xun, et al.. (2023). Progressive reinforcement learning for video summarization. Information Sciences. 655. 119888–119888. 7 indexed citations
12.
Shi, Liangliang, et al.. (2023). IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse. 3929–3938. 1 indexed citations
13.
Wang, Runzhong, Junchi Yan, & Xiaokang Yang. (2023). Unsupervised Learning of Graph Matching With Mixture of Modes via Discrepancy Minimization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 10500–10518. 10 indexed citations
14.
15.
16.
Hu, Xuemin, Yanfang Liu, Bo Tang, Junchi Yan, & Long Chen. (2023). Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 24(11). 11921–11933. 9 indexed citations
17.
Yan, Junchi, et al.. (2022). Learning Deep Generative Clustering via Mutual Information Maximization. IEEE Transactions on Neural Networks and Learning Systems. 34(9). 6263–6275. 19 indexed citations
18.
Yang, Xue, et al.. (2022). Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–18. 68 indexed citations
19.
Wang, Yijun, Changzhi Sun, Yuanbin Wu, et al.. (2020). Pre-training Entity Relation Encoder with Intra-span and Inter-span Information. 1692–1705. 25 indexed citations
20.
Wang, Runzhong, Junchi Yan, & Xiaokang Yang. (2020). Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 6984–7000. 53 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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