Haijun Lei
Impact in
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- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
- Digital Imaging for Blood Diseases
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Brain Tumor Detection and Classification
Papers in
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- Digital Imaging for Blood Diseases 8
- Advanced Steganography and Watermarking Techniques 7
- Digital Media Forensic Detection 6
- Chaos-based Image/Signal Encryption 6
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- Retinal Imaging and Analysis 8
- Co-authors
- Baiying Lei (50 shared papers)Feng Zhou (12 shared papers)Ahmed Elazab (8 shared papers)Tianfu Wang (8 shared papers)Dong Ni (5 shared papers)Siping Chen (5 shared papers)Zhongwei Huang (13 shared papers)Ing Yann Soon (1 shared paper)
- Journals
- IEEE Journal of Biomedical and Health Informatics (4 papers)Medical Image Analysis (3 papers)Expert Systems with Applications (3 papers)Signal Processing (2 papers)Applied Soft Computing (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Haijun Lei
52 papers receiving 855 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 433
- Neurology 81
- Radiology, Nuclear Medicine and Imaging 188
- Media Technology 76
- Neurology 100
Countries citing papers authored by Haijun Lei
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
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-authors
The 25 scholars most cited alongside Haijun Lei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 104 | |
| 2 | 2012 | 102 | |
| 3 | 2018 | 87 | |
| 4 | 2021 | 55 | |
| 5 | 2020 | 41 | |
| 6 | 2020 | 38 | |
| 7 | 2017 | 37 | |
| 8 | 2018 | 35 | |
| 9 | 2017 | 34 | |
| 10 | 2014 | 33 | |
| 11 | 2021 | 30 | |
| 12 | 2018 | 30 | |
| 13 | 2021 | 29 | |
| 14 | 2020 | 29 | |
| 15 | 2018 | 17 | |
| 16 | 2022 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2019 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2017 | 11 |
About Haijun Lei
Haijun Lei is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Neurology, Physiology and Artificial Intelligence, having authored 56 papers that have together received 885 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (15 papers), Voice and Speech Disorders (11 papers), Retinal Imaging and Analysis (8 papers), Digital Imaging for Blood Diseases (8 papers), Advanced Steganography and Watermarking Techniques (7 papers), Image Processing Techniques and Applications (7 papers), Digital Media Forensic Detection (6 papers) and Chaos-based Image/Signal Encryption (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (433 citations), Neurology (81 citations), Radiology, Nuclear Medicine and Imaging (188 citations), Media Technology (76 citations) and Neurology (100 citations). Haijun Lei has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Baiying Lei, Feng Zhou, Ahmed Elazab, Tianfu Wang, Dong Ni, Siping Chen, Zhongwei Huang, Ing Yann Soon, Zhen Li and Hai Xie. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Medical Image Analysis, Expert Systems with Applications, Signal Processing and Applied Soft Computing.
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.