Yun Zhou
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 5%
- Signal Processing top 2%
- Co-authors
- W. Bruce CroftNorman FentonPei‐Chao WangCheng ZhuMartin NeilStephen O’LearyGregor KennedyQingyong Wang
- Topics
- Medical Imaging Techniques and Applications (16 papers)Surgical Simulation and Training (15 papers)Anomaly Detection Techniques and Applications (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Image Processing
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yun Zhou
121 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Artificial Intelligence 872
- Information Systems 814
- Computer Vision and Pattern Recognition 393
- Computer Networks and Communications 318
- Signal Processing 317
Countries citing papers authored by Yun Zhou
This map shows the geographic impact of Yun Zhou'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 Yun Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Zhou more than expected).
Fields of papers citing papers by Yun Zhou
This network shows the impact of papers produced by Yun Zhou. 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 Yun Zhou. The network helps show where Yun Zhou may publish in the future.
Co-authorship network of co-authors of Yun Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Yun Zhou. A scholar is included among the top collaborators of Yun Zhou 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 Yun Zhou. Yun Zhou 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 | 9 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 43 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 17 | |
| 16 | How Does Noise Impact Speech-based Emotion Classification? | 1 |
| 17 | 68 | |
| 18 | Incorporating expert judgement into Bayesian network machine learning | 4 |
| 19 | 2 | |
| 20 | Retrieval performance prediction and document quality | 11 |
About Yun Zhou
Yun Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 133 papers that have together received 2.1k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (16 papers), Surgical Simulation and Training (15 papers) and Anomaly Detection Techniques and Applications (12 papers). The work is most often cited by research in Information Systems (814 citations), Signal Processing (317 citations) and Artificial Intelligence (872 citations). Yun Zhou has collaborated with scholars based in China, Australia and United States. Frequent co-authors include W. Bruce Croft, Norman Fenton, Pei‐Chao Wang, Cheng Zhu, Martin Neil, Stephen O’Leary, Gregor Kennedy, Qingyong Wang, Weiming Zhang and Jiang Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Image 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.