Rui-Wei Zhao
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Signal Processing
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Topics
- Human Pose and Action Recognition (8 papers)Multimodal Machine Learning Applications (8 papers)AI in cancer detection (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Rui-Wei Zhao
29 papers receiving 224 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 150
- Artificial Intelligence 103
- Signal Processing 37
- Molecular Biology 31
- Radiology, Nuclear Medicine and Imaging 23
Countries citing papers authored by Rui-Wei Zhao
This map shows the geographic impact of Rui-Wei Zhao'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-Wei Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui-Wei Zhao more than expected).
Fields of papers citing papers by Rui-Wei Zhao
This network shows the impact of papers produced by Rui-Wei Zhao. 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-Wei Zhao. The network helps show where Rui-Wei Zhao may publish in the future.
Co-authorship network of co-authors of Rui-Wei Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Rui-Wei Zhao. A scholar is included among the top collaborators of Rui-Wei Zhao 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 Rui-Wei Zhao. Rui-Wei Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 30 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning | 43 |
| 17 | NTT-Fudan Team @ TRECVID 2015: Multimedia Event Detection. | 1 |
| 18 | Effect evaluation of PDCA model in PICC catheter nursing for patients with advanced hepatocellular carcinoma | 1 |
| 19 | 16 | |
| 20 | 7 |
About Rui-Wei Zhao
Rui-Wei Zhao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 37 papers that have together received 234 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (8 papers), Multimodal Machine Learning Applications (8 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (150 citations), Signal Processing (37 citations) and Artificial Intelligence (103 citations). Rui-Wei Zhao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuejie Zhang, Yu–Gang Jiang, Rui Feng, Zuxuan Wu, Ying Cheng, Jiashuo Yu, Guozheng Li, Qi Dai, Jianguo Li and Xi Wang. Their work appears in journals such as IEEE Access, Neurocomputing and SAE technical papers on CD-ROM/SAE technical paper series.
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.