Lei Zhu

4.7k total citations · 1 hit paper
103 papers, 2.7k citations indexed

About

Lei Zhu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lei Zhu has authored 103 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lei Zhu's work include Image Enhancement Techniques (28 papers), Advanced Image Processing Techniques (17 papers) and Advanced Neural Network Applications (15 papers). Lei Zhu is often cited by papers focused on Image Enhancement Techniques (28 papers), Advanced Image Processing Techniques (17 papers) and Advanced Neural Network Applications (15 papers). Lei Zhu collaborates with scholars based in China, Hong Kong and United Kingdom. Lei Zhu's co-authors include Pheng‐Ann Heng, Chi‐Wing Fu, Xiaowei Hu, Jing Qin, Dani Lischinski, Xiaomeng Li, Lequan Yu, Qing Zhang, Xuemiao Xu and Huazhu Fu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Lei Zhu

93 papers receiving 2.7k 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.

CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

2019 295 citations Xiaomeng Li, Xiaowei Hu et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lei Zhu China	27	2.1k	505	461	329	209	103	2.7k
Trey Greer United States	9	2.2k 1.0×	802 1.6×	466 1.0×	264 0.8×	180 0.9×	10	3.3k
Manoranjan Paul Australia	28	1.8k 0.9×	156 0.3×	867 1.9×	442 1.3×	380 1.8×	214	3.0k
John D. Austin United States	7	2.0k 0.9×	714 1.4×	468 1.0×	275 0.8×	178 0.9×	11	2.9k
Huisi Wu China	20	860 0.4×	107 0.2×	497 1.1×	557 1.7×	112 0.5×	76	1.6k
Gareth Funka-Lea United States	14	1.7k 0.8×	159 0.3×	790 1.7×	260 0.8×	78 0.4×	32	2.4k
Beiji Zou China	24	1.2k 0.6×	203 0.4×	802 1.7×	324 1.0×	499 2.4×	189	2.1k
Hajime Nagahara Japan	22	1.1k 0.5×	287 0.6×	276 0.6×	293 0.9×	129 0.6×	158	1.8k
Robert Cromartie United States	6	1.9k 0.9×	711 1.4×	473 1.0×	275 0.8×	179 0.9×	8	2.7k
Syed Waqas Zamir United Arab Emirates	12	3.5k 1.6×	1.6k 3.2×	443 1.0×	466 1.4×	29 0.1×	25	4.5k
Yo‐Sung Ho South Korea	26	2.8k 1.3×	718 1.4×	105 0.2×	159 0.5×	34 0.2×	280	3.1k

Countries citing papers authored by Lei Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Lei Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Zhu. A scholar is included among the top collaborators of Lei Zhu 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 Lei Zhu. Lei Zhu 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

Zhu, Lei, et al.. (2026). Token-Level Prompt Mixture With Parameter-Free Routing for Federated Domain Generalization. IEEE Transactions on Image Processing. 35. 656–669.

Xing, Zhaohu, et al.. (2025). Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 25476–25486.

Yang, Guang, et al.. (2025). Enhancing Visual Reasoning With LLM-Powered Knowledge Graphs for Visual Question Localized-Answering in Robotic Surgery. IEEE Journal of Biomedical and Health Informatics. 29(12). 9027–9040. 1 indexed citations

Li, Jiajia, Pingping Zhang, Xia Yang, et al.. (2024). SSM-Net: Semi-supervised multi-task network for joint lesion segmentation and classification from pancreatic EUS images. Artificial Intelligence in Medicine. 154. 102919–102919. 4 indexed citations

Xing, Zhaohu, et al.. (2024). Hybrid Masked Image Modeling for 3D Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 28(4). 2115–2125. 23 indexed citations

Fu, Huazhu, et al.. (2024). Self-Mining the Confident Prototypes for Source-Free Unsupervised Domain Adaptation in Image Segmentation. IEEE Transactions on Multimedia. 26. 7709–7720. 3 indexed citations

Zhang, Yinghao, Zhihong Liu, Lei Zhu, et al.. (2024). Modality-Aware Distillation Network for Microvascular Invasion Prediction of Hepatocellar Carcinoma From MRI Images. IEEE Transactions on Biomedical Engineering. 72(6). 1825–1836.

Chen, Zhihao, et al.. (2024). Learning Physical-Spatio-Temporal Features for Video Shadow Removal. IEEE Transactions on Circuits and Systems for Video Technology. 34(7). 5830–5842. 9 indexed citations

Xing, Zhaohu, et al.. (2024). Non-Invasive to Invasive: Enhancing FFA Synthesis from CFP with a Benchmark Dataset and a Novel Network. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 7–15. 2 indexed citations

10.

Chen, Xi, Lei Zhu, Lipei Zhang, et al.. (2023). Multi-Modal Learning for Predicting the Genotype of Glioma. IEEE Transactions on Medical Imaging. 42(11). 3167–3178. 16 indexed citations

11.

Li, Jiajia, Ping Zhang, Lei Zhu, et al.. (2023). DSMT-Net: Dual Self-Supervised Multi-Operator Transformation for Multi-Source Endoscopic Ultrasound Diagnosis. IEEE Transactions on Medical Imaging. 43(1). 64–75. 43 indexed citations

12.

Chen, Chaoyu, Xin Yang, Yuhao Huang, et al.. (2023). FetusMapV2: Enhanced fetal pose estimation in 3D ultrasound. Medical Image Analysis. 91. 103013–103013. 3 indexed citations

13.

Hu, Xinrong, Yangjun Ou, Saishang Zhong, et al.. (2022). Unsupervised Embroidery Generation Using Embroidery Channel Attention. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–8. 1 indexed citations

14.

Wang, Liansheng, Lei Zhu, Huazhu Fu, et al.. (2022). Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19. IEEE Transactions on Cybernetics. 53(10). 6363–6375. 19 indexed citations

15.

Gao, Liqing, et al.. (2022). Multi-View Fusion for Sign Language Recognition through Knowledge Transfer Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–9. 2 indexed citations

16.

Zhu, Lei, Xiaoqiang Wang, Ping Li, et al.. (2021). S $^3$ Net: Self-Supervised Self-Ensembling Network for Semi-Supervised RGB-D Salient Object Detection. IEEE Transactions on Multimedia. 25. 676–689. 17 indexed citations

17.

Zhu, Lei, Zijun Deng, Xiaowei Hu, et al.. (2020). Learning Gated Non-Local Residual for Single-Image Rain Streak Removal. IEEE Transactions on Circuits and Systems for Video Technology. 31(6). 2147–2159. 41 indexed citations

18.

Hu, Xiaowei, et al.. (2020). SAC-Net: Spatial Attenuation Context for Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 31(3). 1079–1090. 64 indexed citations

19.

Li, Xiaomeng, Xiaowei Hu, Lequan Yu, et al.. (2019). CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading. IEEE Transactions on Medical Imaging. 39(5). 1483–1493. 295 indexed citations breakdown →

20.

Zhu, Lei, Jiaxing Chen, Xiaowei Hu, et al.. (2019). Aggregating Attentional Dilated Features for Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 30(10). 3358–3371. 55 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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