Gang Cao
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- Digital Media Forensic Detection 32
- Advanced Steganography and Watermarking Techniques 27
- Advanced Image Processing Techniques 11
- Advanced Image and Video Retrieval Techniques 9
- Generative Adversarial Networks and Image Synthesis 6
- Chaos-based Image/Signal Encryption 6
- Media Technology top 1%
- Image Processing Techniques and Applications 12
- Advanced Image Fusion Techniques 5
- Law top 1%
- Soil Science top 10%
- Biophysics top 5%
In The Last Decade
Gang Cao
74 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 980
- Media Technology 308
- Law 131
- Soil Science 125
- Biophysics 49
Countries citing papers authored by Gang Cao
This map shows the geographic impact of Gang Cao'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 Gang Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Cao more than expected).
Fields of papers citing papers by Gang Cao
This network shows the impact of papers produced by Gang Cao. 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 Gang Cao. The network helps show where Gang Cao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gang Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 11 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 29 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 16 | |
| 11 | 2022 | 54 | |
| 12 | 2020 | 24 | |
| 13 | 2011 | 11 | |
| 14 | Edge-based Blur Metric for Tamper Detection | 2010 | 47 |
| 15 | Electronic Auction Scheme Based on Trustless Third-party | 2010 | 1 |
| 16 | 2009 | 9 | |
| 17 | Design of Online Entrance Guard System Based on RFID Technology | 2008 | 0 |
| 18 | The Fast Method in VLR Based on Edge Directions | 2004 | 1 |
| 19 | 2004 | 2 | |
| 20 | Improved texture segmentation based on wavelet hidden Markov tree model and the application in vehicle licence plate location | 2003 | 0 |
About Gang Cao
Gang Cao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Acoustics and Ultrasonics, having authored 84 papers that have together received 1.4k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (32 papers), Advanced Steganography and Watermarking Techniques (27 papers), Image Processing Techniques and Applications (12 papers), Advanced Image Processing Techniques (11 papers), Advanced Image and Video Retrieval Techniques (9 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Chaos-based Image/Signal Encryption (6 papers) and Advanced Image Fusion Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (980 citations), Media Technology (308 citations) and Law (131 citations). Gang Cao has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Yao Zhao, Rongrong Ni, Huawei Tian, Xuelong Li, Lifang Yu, Xianglin Huang, Ruicong Zhi, Lifang Yang, Chuan Wan and Zhenfeng Xu. Their work appears in journals such as Optics Express, Expert Systems with Applications and IEEE Access.
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.