Feng Cheng
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
-
- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Face recognition and analysis
Papers in
-
- Advanced Image and Video Retrieval Techniques 3
- Video Surveillance and Tracking Methods 2
- Face recognition and analysis 2
- Human Pose and Action Recognition 2
- Co-authors
- Shilin Wang (5 shared papers)Alan Wee‐Chung Liew (3 shared papers)Xiang Lin (1 shared paper)Jianhua Li (1 shared paper)Gongshen Liu (2 shared papers)Gedas Bertasius (2 shared papers)Cheng Zhou (1 shared paper)Xiaohong Wang (1 shared paper)
- Journals
- Pattern Recognition (2 papers)IEEE Transactions on Medical Imaging (1 paper)Computers & Education (1 paper)IEEE Access (1 paper)Engineering (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Feng Cheng
14 papers receiving 211 citations
Peers
Comparison fields: 5 of 55
- Signal Processing 92
- Computer Vision and Pattern Recognition 136
- Media Technology 28
- Biophysics 18
- Artificial Intelligence 52
Countries citing papers authored by Feng Cheng
This map shows the geographic impact of Feng Cheng'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 Feng Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Cheng more than expected).
Fields of papers citing papers by Feng Cheng
This network shows the impact of papers produced by Feng Cheng. 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 Feng Cheng. The network helps show where Feng Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Cheng, 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 | 2019 | 64 | |
| 2 | 2018 | 58 | |
| 3 | 2019 | 19 | |
| 4 | 2018 | 18 | |
| 5 | 2018 | 12 | |
| 6 | 2000 | 9 | |
| 7 | 2024 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2025 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2016 | 4 | |
| 13 | 2010 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2024 | 0 |
About Feng Cheng
Feng Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 218 indexed citations. Recurring topics across this work include Speech and Audio Processing (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Music and Audio Processing (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Video Surveillance and Tracking Methods (2 papers), Face recognition and analysis (2 papers), Fetal and Pediatric Neurological Disorders (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Signal Processing (92 citations), Computer Vision and Pattern Recognition (136 citations), Media Technology (28 citations), Biophysics (18 citations) and Artificial Intelligence (52 citations). Feng Cheng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shilin Wang, Alan Wee‐Chung Liew, Xiang Lin, Jianhua Li, Gongshen Liu, Gedas Bertasius, Cheng Zhou, Xiaohong Wang, Yoneo Yano and Yilin Liu. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Medical Imaging, Computers & Education, IEEE Access and Engineering.
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.