Guang Hua
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Aerospace Engineering top 5%
- Co-authors
- Yong XiangIynkaran NatgunanathanVrizlynn L. L. ThingHaijian ZhangJonathan GohS.S. AbeysekeraDezhong PengWen Yang
- Topics
- Advanced Steganography and Watermarking Techniques (23 papers)Digital Media Forensic Detection (22 papers)Chaos-based Image/Signal Encryption (10 papers)
In The Last Decade
Guang Hua
55 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 772
- Signal Processing 344
- Artificial Intelligence 256
- Electrical and Electronic Engineering 242
- Aerospace Engineering 217
Countries citing papers authored by Guang Hua
This map shows the geographic impact of Guang Hua'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 Guang Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang Hua more than expected).
Fields of papers citing papers by Guang Hua
This network shows the impact of papers produced by Guang Hua. 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 Guang Hua. The network helps show where Guang Hua may publish in the future.
Co-authorship network of co-authors of Guang Hua
This figure shows the co-authorship network connecting the top 25 collaborators of Guang Hua. A scholar is included among the top collaborators of Guang Hua based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guang Hua. Guang Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 15 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | Inception3D Net Based Video Face Swapping Forgery Detection Jointly Exploiting Eye and Mouth Areas | 1 |
| 10 | 11 | |
| 11 | 0 | |
| 12 | 19 | |
| 13 | 34 | |
| 14 | 22 | |
| 15 | 62 | |
| 16 | 6 | |
| 17 | 44 | |
| 18 | 22 | |
| 19 | 32 | |
| 20 | 81 |
About Guang Hua
Guang Hua is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Acoustics and Ultrasonics, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (23 papers), Digital Media Forensic Detection (22 papers) and Chaos-based Image/Signal Encryption (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (772 citations), Signal Processing (344 citations) and Media Technology (132 citations). Guang Hua has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Yong Xiang, Iynkaran Natgunanathan, Vrizlynn L. L. Thing, Haijian Zhang, Jonathan Goh, S.S. Abeysekera, Dezhong Peng, Wen Yang, Wei Guo and Abid Mehmood. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.