Kai Han

9.9k total citations · 2 hit papers
48 papers, 5.0k citations indexed

About

Kai Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Kai Han has authored 48 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Kai Han's work include Advanced Neural Network Applications (24 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Kai Han is often cited by papers focused on Advanced Neural Network Applications (24 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Kai Han collaborates with scholars based in China, Sweden and Australia. Kai Han's co-authors include Jianyuan Guo, Yunhe Wang, Chang Xu, Chunjing Xu, Qi Tian, Yehui Tang, Xinghao Chen, Han Wu, Chao Zhang and Mingjian Zhu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Advanced Functional Materials and IEEE Transactions on Image Processing.

In The Last Decade

Kai Han

46 papers receiving 4.8k citations

Hit Papers

align trajectories

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.

GhostNet: More Features From Cheap Operations

2020 2.8k citations Kai Han, Yunhe Wang et al. profile →
CMT: Convolutional Neural Networks Meet Vision Transformers

2022 569 citations Jianyuan Guo, Kai Han et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Han China	21	3.1k	1.1k	652	537	474	48	5.0k
Jianyuan Guo China	15	2.9k 0.9×	931 0.8×	646 1.0×	534 1.0×	472 1.0×	22	4.6k
Daquan Zhou China	11	2.8k 0.9×	943 0.9×	740 1.1×	629 1.2×	559 1.2×	29	4.9k
Zhong‐Qiu Zhao China	20	2.6k 0.8×	964 0.9×	535 0.8×	322 0.6×	390 0.8×	72	4.8k
Chunjing Xu China	23	4.4k 1.4×	1.4k 1.2×	1.2k 1.8×	538 1.0×	588 1.2×	63	6.3k
Mingxing Tan United States	16	4.2k 1.3×	1.2k 1.1×	735 1.1×	839 1.6×	998 2.1×	43	6.6k
Jun-Wei Hsieh Taiwan	17	2.6k 0.8×	459 0.4×	559 0.9×	531 1.0×	597 1.3×	44	4.2k
Dongwei Ren China	19	3.6k 1.2×	463 0.4×	1.0k 1.6×	676 1.3×	669 1.4×	49	5.2k
Qilong Wang China	21	4.3k 1.4×	1.9k 1.7×	1.2k 1.8×	575 1.1×	648 1.4×	67	7.3k
Yunhe Wang China	29	5.0k 1.6×	2.0k 1.8×	1.3k 2.0×	575 1.1×	571 1.2×	88	7.4k
Georgia Gkioxari United States	18	3.2k 1.0×	1.2k 1.1×	342 0.5×	307 0.6×	511 1.1×	28	4.9k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Tang, Quan, Chuanjian Liu, Fagui Liu, et al.. (2025). Rethinking Feature Reconstruction via Category Prototype in Semantic Segmentation. IEEE Transactions on Image Processing. 34. 1036–1047. 1 indexed citations

2.

Zhang, C., Yujie Zhong, & Kai Han. (2025). Mr. DETR: Instructive Multi-Route Training for Detection Transformers. 9933–9943.

3.

Liang, Xi, Zhirong Liu, Kai Han, et al.. (2024). Triboelectric Nanogenerators Using Recycled Disposable Medical Masks for Water Wave Energy Harvesting. Advanced Functional Materials. 34(49). 12 indexed citations

4.

Han, Kai, et al.. (2024). ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks. 15751–15761. 39 indexed citations

5.

Wang, Yunhe, et al.. (2024). An Empirical Study of Scaling Law for Scene Text Recognition. 15619–15629. 7 indexed citations

6.

Zhou, Hang, et al.. (2024). A Robust Audio Deepfake Detection System via Multi-View Feature. 13131–13135. 20 indexed citations

7.

Wang, Haoqing, Yehui Tang, Yunhe Wang, et al.. (2023). Masked Image Modeling with Local Multi-Scale Reconstruction. 2122–2131. 30 indexed citations

8.

Han, Kai, Chang Xu, Jianyuan Guo, et al.. (2022). GhostNets on Heterogeneous Devices via Cheap Operations. International Journal of Computer Vision. 130(4). 1050–1069. 91 indexed citations

9.

Xia, Xiaona, Qingguo Ren, Jiufa Cui, et al.. (2022). Radiomics for predicting revised hematoma expansion with the inclusion of intraventricular hemorrhage growth in patients with supratentorial spontaneous intraparenchymal hematomas. Annals of Translational Medicine. 10(1). 8–8. 12 indexed citations

10.

Han, Kai, et al.. (2021). Multi-Frame Super-Resolution Algorithm Based on a WGAN. IEEE Access. 9. 85839–85851. 3 indexed citations

11.

Han, Kai, An Xiao, Enhua Wu, et al.. (2021). Transformer in Transformer. arXiv (Cornell University). 34. 1 indexed citations

12.

Han, Kai, Yunhe Wang, Chang Xu, et al.. (2021). Learning Versatile Convolution Filters for Efficient Visual Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 7731–7746. 5 indexed citations

13.

Guo, Jianyuan, Kai Han, Yunhe Wang, et al.. (2021). Distilling Object Detectors via Decoupled Features. 2154–2164. 146 indexed citations

14.

Han, Kai, et al.. (2020). Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 33. 19353–19364. 4 indexed citations

15.

Han, Kai, Yunhe Wang, Yixing Xu, et al.. (2020). Training Binary Neural Networks through Learning with Noisy Supervision. International Conference on Machine Learning. 1. 4017–4026. 7 indexed citations

16.

Han, Kai, Yunhe Wang, Qi Tian, et al.. (2020). GhostNet: More Features From Cheap Operations. 1577–1586. 2822 indexed citations breakdown →

17.

Zhang, Yunxiang, Bó Wáng, Li Pan, et al.. (2019). DL-CNV: A deep learning method for identifying copy number variations based on next generation target sequencing. Mathematical Biosciences & Engineering. 17(1). 202–215. 5 indexed citations

18.

Zhang, Chao, et al.. (2018). Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN. Neural Information Processing Systems. 31. 798–807. 78 indexed citations

19.

Han, Kai, Chao Li, & Xin Shi. (2017). Autoencoder Feature Selector.. arXiv (Cornell University). 1 indexed citations

20.

Yu, Chenglong, Xuan Wang, Muhammad Waqas Anwar, & Kai Han. (2013). Multi-Features Encoding and Selecting Based on Genetic Algorithm for Human Action Recognition from Video. Research Journal of Applied Sciences Engineering and Technology. 5(21). 5128–5132. 1 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.

Explore authors with similar magnitude of impact