Jun Sang
Impact in
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- Advanced Neural Network Applications
- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Video Surveillance and Tracking Methods
- Information Systems top 2%
- Software Engineering Techniques and Practices
Papers in
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- Advanced Neural Network Applications 18
- Video Surveillance and Tracking Methods 14
- Advanced Steganography and Watermarking Techniques 12
- Chaos-based Image/Signal Encryption 10
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- Software Engineering Techniques and Practices 9
- Software Engineering Research 3
- Co-authors
- Mohammad S. Alam (13 shared papers)Haibo Hu (10 shared papers)Bin Cai (9 shared papers)Hong Xiang (17 shared papers)Nasrullah Nasrullah (3 shared papers)Muhammad Mateen (2 shared papers)Muhammad Azeem Akbar (8 shared papers)Arif Ali Khan (5 shared papers)
- Journals
- IEEE Access (7 papers)Sensors (5 papers)Pattern Recognition Letters (4 papers)Biomedical Signal Processing and Control (3 papers)Optics Communications (2 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Jun Sang
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 524
- Information Systems 283
- Health Informatics 21
- Artificial Intelligence 249
- Radiology, Nuclear Medicine and Imaging 112
Countries citing papers authored by Jun Sang
This map shows the geographic impact of Jun Sang'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 Sang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sang more than expected).
Fields of papers citing papers by Jun Sang
This network shows the impact of papers produced by Jun Sang. 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 Sang. The network helps show where Jun Sang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Sang, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 279 | |
| 2 | 2018 | 174 | |
| 3 | 2021 | 87 | |
| 4 | 2019 | 85 | |
| 5 | 2017 | 62 | |
| 6 | 2018 | 52 | |
| 7 | 2021 | 48 | |
| 8 | 2008 | 45 | |
| 9 | 2019 | 43 | |
| 10 | 2019 | 39 | |
| 11 | 2019 | 37 | |
| 12 | 2019 | 30 | |
| 13 | 2018 | 28 | |
| 14 | 2019 | 26 | |
| 15 | 2018 | 24 | |
| 16 | 2019 | 23 | |
| 17 | 2019 | 21 | |
| 18 | 2017 | 17 | |
| 19 | 2020 | 14 | |
| 20 | 2017 | 8 |
About Jun Sang
Jun Sang is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Software, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (18 papers), Video Surveillance and Tracking Methods (14 papers), Advanced Steganography and Watermarking Techniques (12 papers), Chaos-based Image/Signal Encryption (10 papers), Software Engineering Techniques and Practices (9 papers), Retinal Imaging and Analysis (6 papers), Software Engineering Research (3 papers) and Multi-Criteria Decision Making (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (524 citations), Information Systems (283 citations), Health Informatics (21 citations), Artificial Intelligence (249 citations) and Radiology, Nuclear Medicine and Imaging (112 citations). Jun Sang has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Mohammad S. Alam, Haibo Hu, Bin Cai, Hong Xiang, Nasrullah Nasrullah, Muhammad Mateen, Muhammad Azeem Akbar, Arif Ali Khan, Zhongyuan Wu and Muhmmad Shah Alam. Their work appears in journals such as IEEE Access, Sensors, Pattern Recognition Letters, Biomedical Signal Processing and Control and Optics Communications.
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.