Xingyu Zhou
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Co-authors
- Zhisong PanGuyu HuSiqi TangCheng ZhaoJunyang QiuYong WangFei XieXin Li
- Topics
- Adversarial Robustness in Machine Learning (11 papers)Anomaly Detection Techniques and Applications (10 papers)Optical Coherence Tomography Applications (7 papers)
- Cited by
- Management Science and Operations ResearchSignal ProcessingComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xingyu Zhou
61 papers receiving 545 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 150
- Management Science and Operations Research 137
- Electrical and Electronic Engineering 113
- Computer Vision and Pattern Recognition 98
- Signal Processing 78
Countries citing papers authored by Xingyu Zhou
This map shows the geographic impact of Xingyu 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 Xingyu Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingyu Zhou more than expected).
Fields of papers citing papers by Xingyu Zhou
This network shows the impact of papers produced by Xingyu 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 Xingyu Zhou. The network helps show where Xingyu Zhou may publish in the future.
Co-authorship network of co-authors of Xingyu Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Xingyu Zhou. A scholar is included among the top collaborators of Xingyu 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 Xingyu Zhou. Xingyu 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 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 15 | |
| 15 | 0 | |
| 16 | 4 | |
| 17 | Digital twin system for highway traffic based on 3D GIS technology | 8 |
| 18 | 2 | |
| 19 | 13 | |
| 20 | Iterative learning control of dam-river channel irrigation systems. | 1 |
About Xingyu Zhou
Xingyu Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Instrumentation, having authored 70 papers that have together received 563 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (11 papers), Anomaly Detection Techniques and Applications (10 papers) and Optical Coherence Tomography Applications (7 papers). The work is most often cited by research in Management Science and Operations Research (137 citations), Signal Processing (78 citations) and Computer Vision and Pattern Recognition (98 citations). Xingyu Zhou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhisong Pan, Guyu Hu, Siqi Tang, Cheng Zhao, Junyang Qiu, Yong Wang, Fei Xie, Xin Li, Liangliang Zhang and Wei Li. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and Journal of Power Sources.
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.