Jun Lang
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Image and Signal Denoising Methods
- Applied Mathematics top 5%
- Mathematical Analysis and Transform Methods
Papers in
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- Chaos-based Image/Signal Encryption 17
- Advanced Steganography and Watermarking Techniques 11
- Image and Signal Denoising Methods 8
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- Mathematical Analysis and Transform Methods 15
- Co-authors
- Ran Tao (6 shared papers)Yue Wang (1 shared paper)Yue Wang (2 shared papers)David B. Stewart (1 shared paper)Catriona A. Syme (1 shared paper)Jill Hamilton (1 shared paper)Clodagh S. O’Gorman (1 shared paper)Timothy J. Bradley (1 shared paper)
- Journals
- Optics Communications (5 papers)Optics and Lasers in Engineering (3 papers)Multimedia Tools and Applications (2 papers)Digital Signal Processing (2 papers)Food Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jun Lang
55 papers receiving 871 citations
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 585
- Applied Mathematics 180
- Acoustics and Ultrasonics 8
- Mathematical Physics 76
- Media Technology 72
Countries citing papers authored by Jun Lang
This map shows the geographic impact of Jun Lang'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 Jun Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lang more than expected).
Fields of papers citing papers by Jun Lang
This network shows the impact of papers produced by Jun Lang. 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 Jun Lang. The network helps show where Jun Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Lang, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 104 | |
| 2 | 2013 | 88 | |
| 3 | 2014 | 79 | |
| 4 | 2010 | 79 | |
| 5 | 2012 | 58 | |
| 6 | 2012 | 57 | |
| 7 | 2008 | 38 | |
| 8 | 1998 | 35 | |
| 9 | 2009 | 31 | |
| 10 | 2020 | 28 | |
| 11 | 2012 | 28 | |
| 12 | 2013 | 28 | |
| 13 | 2010 | 24 | |
| 14 | 2013 | 24 | |
| 15 | 2018 | 24 | |
| 16 | 2012 | 23 | |
| 17 | 2000 | 17 | |
| 18 | 2023 | 13 | |
| 19 | 2014 | 13 | |
| 20 | 2022 | 10 |
About Jun Lang
Jun Lang is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics, Artificial Intelligence, Industrial and Manufacturing Engineering and Signal Processing, having authored 62 papers that have together received 912 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (17 papers), Mathematical Analysis and Transform Methods (15 papers), Advanced Steganography and Watermarking Techniques (11 papers), Image and Signal Denoising Methods (8 papers), Sparse and Compressive Sensing Techniques (8 papers), Advancements in Photolithography Techniques (6 papers), Digital Filter Design and Implementation (4 papers) and Industrial Vision Systems and Defect Detection (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (585 citations), Applied Mathematics (180 citations), Acoustics and Ultrasonics (8 citations), Mathematical Physics (76 citations) and Media Technology (72 citations). Jun Lang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ran Tao, Yue Wang, Yue Wang, David B. Stewart, Yue Wang, Catriona A. Syme, Yue Wang, Jill Hamilton, Clodagh S. O’Gorman and Timothy J. Bradley. Their work appears in journals such as Optics Communications, Optics and Lasers in Engineering, Multimedia Tools and Applications, Digital Signal Processing and Food Chemistry.
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.