Junyu Han

3.8k total citations · 1 hit paper
33 papers, 1.8k citations indexed

About

Junyu Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Junyu Han has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Junyu Han's work include Handwritten Text Recognition Techniques (12 papers), Face recognition and analysis (7 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Junyu Han is often cited by papers focused on Handwritten Text Recognition Techniques (12 papers), Face recognition and analysis (7 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Junyu Han collaborates with scholars based in China, Australia and Hong Kong. Junyu Han's co-authors include Errui Ding, Jingtuo Liu, Chengquan Zhang, Zhibin Hong, Borong Liang, Zuming Huang, Jingdong Wang, Xuan Li, Deli Yu and Tao Liu and has published in prestigious journals such as International Journal of Computer Vision, Pattern Recognition Letters and Journal of Field Robotics.

In The Last Decade

Junyu Han

31 papers receiving 1.7k citations

Hit Papers

Group DETR: Fast DETR Training with Group-Wise One-to-Man... 2023 2026 2024 2025 2023 25 50 75 100
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. Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment
    2023 107 citations Junyu Han, Errui Ding 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
Junyu Han China 20 1.6k 494 421 118 76 33 1.8k
Ernest Valveny Spain 18 1.9k 1.2× 544 1.1× 603 1.4× 95 0.8× 57 0.8× 65 2.2k
Kim–Hui Yap Singapore 22 1.3k 0.8× 329 0.7× 186 0.4× 116 1.0× 78 1.0× 138 1.6k
Minghui Liao China 11 2.2k 1.3× 1.1k 2.2× 390 0.9× 47 0.4× 68 0.9× 20 2.3k
Hang Joon Kim South Korea 14 815 0.5× 345 0.7× 162 0.4× 119 1.0× 40 0.5× 38 1.1k
Zizhu Fan China 17 787 0.5× 199 0.4× 282 0.7× 194 1.6× 28 0.4× 44 1.1k
Huiyuan Fu China 15 760 0.5× 193 0.4× 196 0.5× 43 0.4× 38 0.5× 55 1.0k
Mingliang Gao China 17 685 0.4× 289 0.6× 302 0.7× 41 0.3× 130 1.7× 97 1.1k
Ujjwal Bhattacharya India 22 1.5k 0.9× 845 1.7× 582 1.4× 78 0.7× 27 0.4× 91 1.9k

Countries citing papers authored by Junyu Han

Since Specialization
Citations

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

Fields of papers citing papers by Junyu Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyu Han

This figure shows the co-authorship network connecting the top 25 collaborators of Junyu Han. A scholar is included among the top collaborators of Junyu Han 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 Junyu Han. Junyu Han 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.
2.
Zhang, Jiacheng, Jiaming Li, Xiangru Lin, et al.. (2024). Decoupled Pseudo-Labeling for Semi-Supervised Monocular 3D Object Detection. 16923–16932. 7 indexed citations
3.
Zhang, Guosheng, Yanyan Liang, Gang Zhang, et al.. (2024). CSDG-FAS: Closed-Space Domain Generalization for Face Anti-spoofing. International Journal of Computer Vision. 132(11). 4866–4879.
4.
Liu, Huan, Qiang Chen, Zichang Tan, et al.. (2023). Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation. 14983–14992. 20 indexed citations
5.
Xu, Zhiliang, Zhibin Hong, Changxing Ding, et al.. (2022). MobileFaceSwap: A Lightweight Framework for Video Face Swapping. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 2973–2981. 40 indexed citations
6.
Sun, Y. J., Xiongwei Zhu, Jie Chen, et al.. (2022). ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5174–5183. 51 indexed citations
7.
Tang, Licheng, Jiaming Liu, Zhibin Hong, et al.. (2022). Few-Shot Font Generation by Learning Fine-Grained Local Styles. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7885–7894. 37 indexed citations
8.
Li, Yulin, Chengquan Zhang, Yan Liu, et al.. (2021). StrucTexT: Structured Text Understanding with Multi-Modal Transformers. 1912–1920. 54 indexed citations
9.
Bi, Li, Teng Xi, Gang Zhang, et al.. (2021). Dynamic Class Queue for Large Scale Face Recognition In the Wild. 3762–3771. 14 indexed citations
10.
Wang, Pengfei, Chengquan Zhang, Fei Qi, et al.. (2021). PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network. Proceedings of the AAAI Conference on Artificial Intelligence. 35(4). 2782–2790. 52 indexed citations
11.
Xu, Zhiliang, Xiyu Yu, Zhibin Hong, et al.. (2021). FaceController: Controllable Attribute Editing for Face in the Wild. Proceedings of the AAAI Conference on Artificial Intelligence. 35(4). 3083–3091. 27 indexed citations
12.
Chen, Hongtao, et al.. (2020). The Role of Social Enterprises on the Poverty Alleviation in China: Review and a Case Study. International Journal of Trade Economics and Finance. 11(5). 119–127. 1 indexed citations
13.
Liu, Yang, et al.. (2020). HAMBox: Delving Into Mining High-Quality Anchors on Face Detection. 13043–13051. 40 indexed citations
14.
Bi, Li, Chengquan Zhang, Zhibin Hong, et al.. (2020). Learning Global Structure Consistency for Robust Object Tracking. 229–237. 3 indexed citations
15.
Han, Junyu, et al.. (2020). A novel loop closure detection method with the combination of points and lines based on information entropy. Journal of Field Robotics. 38(3). 386–401. 13 indexed citations
16.
Zhang, Fan, Yanqin Chen, Zhihang Li, et al.. (2019). ACFNet: Attentional Class Feature Network for Semantic Segmentation. 6797–6806. 213 indexed citations
17.
Ding, Errui, Jingtuo Liu, Dìmosthenis Karatzas, et al.. (2019). ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text - RRC-ArT. 1571–1576. 95 indexed citations
18.
Wu, Liang, Chengquan Zhang, Jiaming Liu, et al.. (2019). Editing Text in the Wild. 1500–1508. 52 indexed citations
19.
Zhang, Chengquan, Borong Liang, Zuming Huang, et al.. (2019). Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes. 10544–10553. 195 indexed citations
20.
Han, Hu, Chengquan Zhang, Yuxuan Luo, et al.. (2017). WordSup: Exploiting Word Annotations for Character Based Text Detection. 4950–4959. 131 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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