Rui Feng
-
- Multimodal Machine Learning Applications 17
- Human Pose and Action Recognition 13
- Advanced Image and Video Retrieval Techniques 12
- Video Analysis and Summarization 10
- Image Retrieval and Classification Techniques 5
- Health Informatics top 5%
- Media Technology top 2%
- Cognitive Neuroscience top 10%
-
- Radiomics and Machine Learning in Medical Imaging 6
-
- Epilepsy research and treatment 10
-
- Anomaly Detection Techniques and Applications 7
- Co-authors
- Mingmin ChiYuejie ZhangLorenzo BruzzoneXiangyang XueTao ZhangWeiguo FanYu–Gang JiangYing Cheng
- Journals
- Pattern Recognition (4 papers)Clinical Neurophysiology (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Rui Feng
82 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 465
- Health Informatics 28
- Media Technology 146
- Cognitive Neuroscience 216
- Radiology, Nuclear Medicine and Imaging 248
Countries citing papers authored by Rui Feng
This map shows the geographic impact of Rui Feng'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 Rui Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Feng more than expected).
Fields of papers citing papers by Rui Feng
This network shows the impact of papers produced by Rui Feng. 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 Rui Feng. The network helps show where Rui Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rui Feng, 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 | 2024 | 8 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 11 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 5 | |
| 14 | 2019 | 70 | |
| 15 | 2018 | 12 | |
| 16 | 2018 | 15 | |
| 17 | 2016 | 13 | |
| 18 | 2015 | 74 | |
| 19 | 2014 | 10 | |
| 20 | 2013 | 12 |
About Rui Feng
Rui Feng is a scholar working on Computer Vision and Pattern Recognition, Psychiatry and Mental health and Health Informatics, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (17 papers), Human Pose and Action Recognition (13 papers), Advanced Image and Video Retrieval Techniques (12 papers), Video Analysis and Summarization (10 papers), Epilepsy research and treatment (10 papers), Anomaly Detection Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (465 citations), Health Informatics (28 citations) and Media Technology (146 citations). Rui Feng has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Mingmin Chi, Yuejie Zhang, Lorenzo Bruzzone, Xiangyang Xue, Tao Zhang, Weiguo Fan, Yu–Gang Jiang, Ying Cheng, Jiashuo Yu and Lei Zhang. Their work appears in journals such as Pattern Recognition, Clinical Neurophysiology, Scientific Reports, World Neurosurgery and Food Research International.
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.