Jun Sang
Impact in
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- Video Surveillance and Tracking Methods
- Chaos-based Image/Signal Encryption
- Advanced Neural Network Applications
Papers in
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- Advanced Steganography and Watermarking Techniques 17
- Video Surveillance and Tracking Methods 17
- Chaos-based Image/Signal Encryption 17
- Digital Media Forensic Detection 10
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- Anomaly Detection Techniques and Applications 11
- Co-authors
- Haibo Hu (8 shared papers)Mohammad S. Alam (12 shared papers)Hong Xiang (17 shared papers)Bin Cai (10 shared papers)Nasrullah Nasrullah (3 shared papers)Muhammad Azeem Akbar (8 shared papers)Muhammad Mateen (2 shared papers)Arif Ali Khan (5 shared papers)
- Journals
- IEEE Access (7 papers)Sensors (5 papers)Pattern Recognition Letters (3 papers)Biomedical Signal Processing and Control (3 papers)Optik (3 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Jun Sang
59 papers receiving 1.1k citations
Jun Sang's Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 452
- Management Information Systems 127
- Information Systems 269
- Health Informatics 15
- Radiology, Nuclear Medicine and Imaging 253
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 | Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies Hit paper breakdown → | 2019 | 236 |
| 2 | 2018 | 156 | |
| 3 | 2019 | 77 | |
| 4 | 2021 | 72 | |
| 5 | 2017 | 57 | |
| 6 | 2018 | 51 | |
| 7 | 2019 | 40 | |
| 8 | 2021 | 39 | |
| 9 | 2019 | 36 | |
| 10 | 2019 | 35 | |
| 11 | 2011 | 32 | |
| 12 | 2019 | 27 | |
| 13 | 2018 | 27 | |
| 14 | 2019 | 26 | |
| 15 | 2018 | 24 | |
| 16 | 2022 | 21 | |
| 17 | 2019 | 20 | |
| 18 | 2019 | 19 | |
| 19 | 2017 | 16 | |
| 20 | 2020 | 11 |
About Jun Sang
Jun Sang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (17 papers), Video Surveillance and Tracking Methods (17 papers), Chaos-based Image/Signal Encryption (17 papers), Anomaly Detection Techniques and Applications (11 papers), Digital Media Forensic Detection (10 papers), Software Engineering Techniques and Practices (7 papers), Software Engineering Research (7 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (452 citations), Management Information Systems (127 citations), Information Systems (269 citations), Health Informatics (15 citations) and Radiology, Nuclear Medicine and Imaging (253 citations). Jun Sang has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Haibo Hu, Mohammad S. Alam, Hong Xiang, Bin Cai, Nasrullah Nasrullah, Muhammad Azeem Akbar, Muhammad Mateen, Arif Ali Khan, Zhongyuan Wu and Qian Zhang. Their work appears in journals such as IEEE Access, Sensors, Pattern Recognition Letters, Biomedical Signal Processing and Control and Optik.
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.