Haijun Lei

1.2k total citations
58 papers, 865 citations indexed

About

Haijun Lei is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Haijun Lei has authored 58 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 18 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Neurology. Recurrent topics in Haijun Lei's work include Parkinson's Disease Mechanisms and Treatments (15 papers), Voice and Speech Disorders (11 papers) and Digital Imaging for Blood Diseases (8 papers). Haijun Lei is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (15 papers), Voice and Speech Disorders (11 papers) and Digital Imaging for Blood Diseases (8 papers). Haijun Lei collaborates with scholars based in China, United States and Singapore. Haijun Lei's co-authors include Baiying Lei, Feng Zhou, Ahmed Elazab, Tianfu Wang, Siping Chen, Dong Ni, Jing Qin, Zhongwei Huang, Zhen Li and Ing Yann Soon and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Journal of Theoretical Biology.

In The Last Decade

Haijun Lei

52 papers receiving 835 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haijun Lei China 16 434 201 192 103 80 58 865
Fangxu Xing United States 19 307 0.7× 359 1.8× 270 1.4× 64 0.6× 40 0.5× 75 872
Anton Bardera Spain 16 427 1.0× 121 0.6× 95 0.5× 68 0.7× 88 1.1× 37 712
Leandro A. Passos Brazil 15 229 0.5× 211 1.0× 142 0.7× 43 0.4× 27 0.3× 48 666
Ee-Leng Tan Singapore 16 255 0.6× 257 1.3× 132 0.7× 33 0.3× 69 0.9× 42 857
Tassilo Klein Germany 12 269 0.6× 160 0.8× 214 1.1× 55 0.5× 83 1.0× 28 632
H.S. Bhadauria India 18 525 1.2× 351 1.7× 226 1.2× 66 0.6× 88 1.1× 62 920
Nawrès Khlifa Tunisia 12 112 0.3× 120 0.6× 262 1.4× 76 0.7× 28 0.3× 60 524
Benqiang Yang China 16 379 0.9× 116 0.6× 222 1.2× 90 0.9× 39 0.5× 90 920
M. Pantziaris Cyprus 21 784 1.8× 150 0.7× 480 2.5× 34 0.3× 127 1.6× 57 1.7k
Shunxing Bao United States 14 359 0.8× 257 1.3× 472 2.5× 21 0.2× 86 1.1× 85 908

Countries citing papers authored by Haijun Lei

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijun Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Haijun Lei. A scholar is included among the top collaborators of Haijun Lei 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 Haijun Lei. Haijun Lei 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.
Lei, Haijun, Zaiyi Liu, Suyun Li, et al.. (2025). Feature fusion network for pulmonary nodule segmentation and EGFR classification using dual encoders. Expert Systems with Applications. 280. 127523–127523.
2.
Zhang, Yongtao, Ning Yuan, Bing Liu, et al.. (2023). USBDAN: Unsupervised Scale-aware and Boundary-aware Domain Adaptive Network for Gastric Tumor Segmentation. PubMed. 17. 1–4.
3.
4.
Lei, Haijun, Zihao Chen, Shiqi Li, et al.. (2023). Early diagnosis and clinical score prediction of Parkinson's disease based on longitudinal neuroimaging data. Neural Computing and Applications. 35(22). 16429–16455. 7 indexed citations
5.
6.
Lei, Haijun, Yuchen Zhang, Zhongwei Huang, et al.. (2022). Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network. Computers in Biology and Medicine. 148. 105859–105859. 5 indexed citations
7.
Xie, Hai, Yaling Liu, Haijun Lei, et al.. (2022). Adversarial learning-based multi-level dense-transmission knowledge distillation for AP-ROP detection. Medical Image Analysis. 84. 102725–102725. 8 indexed citations
8.
Yang, Linchuan, Haijun Lei, Mengmeng Zhang, et al.. (2022). Macro-nano silver particles in-situ filled polydimethylsiloxane composites and dynamic rheological study. Composites Communications. 35. 101353–101353. 1 indexed citations
9.
Huang, Zhongwei, Haijun Lei, Guoliang Chen, et al.. (2021). Parkinson’s Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data. IEEE Transactions on Neural Networks and Learning Systems. 33(8). 3357–3371. 26 indexed citations
10.
Huang, Zhongwei, Haijun Lei, Chuandong Li, et al.. (2021). Multi-center sparse learning and decision fusion for automatic COVID-19 diagnosis. Applied Soft Computing. 115. 108088–108088. 6 indexed citations
11.
Lei, Haijun, Jie Du, Jiantao Wang, et al.. (2021). Cross-attention multi-branch network for fundus diseases classification using SLO images. Medical Image Analysis. 71. 102031–102031. 30 indexed citations
12.
13.
Lei, Haijun, et al.. (2020). Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images. IEEE Journal of Biomedical and Health Informatics. 25(2). 358–370. 37 indexed citations
14.
Lei, Baiying, Zhongwei Huang, Xiaoke Hao, et al.. (2020). Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis. Medical Image Analysis. 61. 101632–101632. 40 indexed citations
15.
Lei, Haijun, Yejun He, Guozhen Chen, et al.. (2020). AMD-GAN: Attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images. Neural Networks. 132. 477–490. 27 indexed citations
16.
Lei, Haijun, et al.. (2019). An Improved Object Detection Method for Mitosis Detection. PubMed. 2019. 130–133. 11 indexed citations
17.
Lei, Haijun, et al.. (2019). Deeply supervised full convolution network for HEp-2 specimen image segmentation. Neurocomputing. 351. 77–86. 11 indexed citations
18.
Lei, Haijun, Zhongwei Huang, Feng Zhou, et al.. (2018). Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations. IEEE Journal of Biomedical and Health Informatics. 23(4). 1437–1449. 34 indexed citations
19.
Huang, Zhongwei, Haijun Lei, Feng Zhou, et al.. (2018). Longitudinal and multi-modal data learning for Parkinson's disease diagnosis. 1411–1414. 1 indexed citations
20.
Lei, Haijun, et al.. (2018). Sparse feature learning for multi-class Parkinson’s disease classification. Technology and Health Care. 26(1_suppl). 193–203. 17 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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