Kai Han

2.7k total citations · 1 hit paper
50 papers, 1.1k citations indexed

About

Kai Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kai Han has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kai Han's work include Advanced Vision and Imaging (13 papers), Domain Adaptation and Few-Shot Learning (12 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Kai Han is often cited by papers focused on Advanced Vision and Imaging (13 papers), Domain Adaptation and Few-Shot Learning (12 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Kai Han collaborates with scholars based in Hong Kong, United Kingdom and China. Kai Han's co-authors include Kenneth K. Wong, Andrea Vedaldi, Andrew Zisserman, Peng Wang, Guanying Chen, Xiu-Shen Wei, Lei Zhang, Lei Wang, Yasuyuki Matsushita and Boxin Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Chemical Engineering Journal.

In The Last Decade

Kai Han

48 papers receiving 1.1k citations

Hit Papers

Contrastive Learning based Hybrid Networks for Long-Taile... 2021 2026 2022 2024 2021 50 100 150
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. Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification
    2021 171 citations Peng Wang, Kai Han 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
Kai Han Hong Kong 18 605 407 136 123 110 50 1.1k
Zunlei Feng China 14 762 1.3× 281 0.7× 40 0.3× 113 0.9× 67 0.6× 83 1.3k
Xiaoshan Yang China 21 969 1.6× 553 1.4× 43 0.3× 49 0.4× 29 0.3× 84 1.4k
Morium Akter Bangladesh 8 583 1.0× 145 0.4× 92 0.7× 18 0.1× 45 0.4× 17 1.2k
Jun Sun China 20 720 1.2× 59 0.1× 58 0.4× 144 1.2× 278 2.5× 83 1.2k
Kim–Hui Yap Singapore 22 1.3k 2.1× 186 0.5× 78 0.6× 21 0.2× 140 1.3× 138 1.6k
Shuyuan Zhu China 19 1.1k 1.8× 127 0.3× 135 1.0× 18 0.1× 72 0.7× 124 1.3k
Viacheslav Voronin Russia 13 423 0.7× 83 0.2× 78 0.6× 33 0.3× 51 0.5× 171 762
Dmitry Nikolaev Russia 14 552 0.9× 125 0.3× 67 0.5× 10 0.1× 30 0.3× 164 893

Countries citing papers authored by Kai Han

Since Specialization
Citations

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

Fields of papers citing papers by Kai Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Han

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Han. A scholar is included among the top collaborators of Kai 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 Kai Han. Kai 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.
Yang, Muli, et al.. (2025). Detecting Open World Objects via Partial Attribute Assignment. 20318–20328. 1 indexed citations
2.
Xu, Zhi, et al.. (2025). CusConcept: Customized Visual Concept Decomposition with Diffusion Models. 3678–3687. 1 indexed citations
3.
Guo, Qianjian, et al.. (2024). Wear characteristics evolution of helical gear with initial defects of bearing inner ring. Engineering Failure Analysis. 165. 108774–108774. 6 indexed citations
4.
Han, Kai, et al.. (2024). HSC 3 D : A Python package to quantify three‐dimensional habitat structural complexity. Methods in Ecology and Evolution. 15(4). 639–646. 2 indexed citations
5.
Han, Kai, et al.. (2024). Dissecting Out-of-Distribution Detection and Open-Set Recognition: A Critical Analysis of Methods and Benchmarks. International Journal of Computer Vision. 133(3). 1326–1351. 1 indexed citations
6.
Li, Xinghui, et al.. (2024). SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching. 27548–27558. 4 indexed citations
7.
Roberts, Jonathan C., et al.. (2024). Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs. 554–563. 5 indexed citations
8.
9.
Zhao, Bingchen, Xin Wen, & Kai Han. (2023). Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery. 16577–16587. 22 indexed citations
10.
Han, Kai, et al.. (2023). Learning Attention as Disentangler for Compositional Zero-Shot Learning. 15315–15324. 21 indexed citations
11.
Han, Kai, et al.. (2023). SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction. 4647–4657. 14 indexed citations
12.
13.
Zhu, Mingjian, Kai Han, Yehui Tang, & Yunhe Wang. (2021). Visual Transformer Pruning.. arXiv (Cornell University). 15 indexed citations
14.
Jia, Xuhui, Kai Han, Yukun Zhu, & Bradley Green. (2021). Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 590–599. 30 indexed citations
15.
Li, Jie, Peng Wang, Kai Han, & Yu Liu. (2021). Anisotropic Convolutional Neural Networks for RGB-D based Semantic Scene Completion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 1–1. 8 indexed citations
16.
Jia, Xuhui, Kai Han, Yukun Zhu, & Bradley Green. (2021). A Flexible Framework for Discovering Novel Categories with Contrastive Learning. 1 indexed citations
17.
Li, Jie, et al.. (2020). Anisotropic Convolutional Networks for 3D Semantic Scene Completion. 3348–3356. 76 indexed citations
18.
Li, Jie, et al.. (2020). Real‐time keypoints detection for autonomous recovery of the unmanned ground vehicle. IET Image Processing. 14(17). 4690–4700. 2 indexed citations
19.
Li, Shuda, et al.. (2020). Correspondence Networks With Adaptive Neighbourhood Consensus. The HKU Scholars Hub (University of Hong Kong). 10193–10202. 52 indexed citations
20.
Han, Kai, Andrea Vedaldi, & Andrew Zisserman. (2019). Learning to Discover Novel Visual Categories via Deep Transfer Clustering. 8400–8408. 149 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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