Haijun Lei
Impact in
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- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Brain Tumor Detection and Classification
Papers in
- Neurology 19
- Parkinson's Disease Mechanisms and Treatments 19
-
- Digital Imaging for Blood Diseases 9
- Advanced Steganography and Watermarking Techniques 8
- Digital Media Forensic Detection 7
- Chaos-based Image/Signal Encryption 7
- Co-authors
- Baiying Lei (60 shared papers)Feng C. Zhou (12 shared papers)Ahmed Elazab (10 shared papers)Tianfu Wang (8 shared papers)Ee-Leng Tan (8 shared papers)Dong Ni (5 shared papers)Siping Chen (5 shared papers)Zhongwei Huang (16 shared papers)
- Journals
- IEEE Journal of Biomedical and Health Informatics (4 papers)Expert Systems with Applications (3 papers)Medical Image Analysis (3 papers)Signal Processing (2 papers)Neural Networks (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Haijun Lei
64 papers receiving 975 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 477
- Neurology 91
- Radiology, Nuclear Medicine and Imaging 215
- Media Technology 86
- Neurology 122
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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 118 | |
| 2 | 2012 | 110 | |
| 3 | 2018 | 97 | |
| 4 | 2021 | 60 | |
| 5 | 2020 | 46 | |
| 6 | 2017 | 41 | |
| 7 | 2020 | 38 | |
| 8 | 2017 | 37 | |
| 9 | 2018 | 36 | |
| 10 | 2021 | 35 | |
| 11 | 2021 | 34 | |
| 12 | 2014 | 34 | |
| 13 | 2018 | 33 | |
| 14 | 2020 | 29 | |
| 15 | 2018 | 19 | |
| 16 | 2017 | 19 | |
| 17 | 2022 | 18 | |
| 18 | 2019 | 16 | |
| 19 | 2019 | 14 | |
| 20 | 2021 | 11 |
About Haijun Lei
Haijun Lei is a scholar working on Neurology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Physiology and Media Technology, having authored 68 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (19 papers), Voice and Speech Disorders (13 papers), Retinal Imaging and Analysis (11 papers), Digital Imaging for Blood Diseases (9 papers), Advanced Steganography and Watermarking Techniques (8 papers), Image Processing Techniques and Applications (7 papers), Digital Media Forensic Detection (7 papers) and Chaos-based Image/Signal Encryption (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (477 citations), Neurology (91 citations), Radiology, Nuclear Medicine and Imaging (215 citations), Media Technology (86 citations) and Neurology (122 citations). Haijun Lei has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Baiying Lei, Feng C. Zhou, Ahmed Elazab, Tianfu Wang, Ee-Leng Tan, Dong Ni, Siping Chen, Zhongwei Huang, Ing Yann Soon and Zhen Li. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Expert Systems with Applications, Medical Image Analysis, Signal Processing and Neural Networks.
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.