Dong-Hui Xu
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Statistics, Probability and Uncertainty top 5%
- Topics
- Medical Image Segmentation Techniques (2 papers)AI in cancer detection (2 papers)Cognitive Computing and Networks (2 papers)
- Cited by
- Management Science and Operations ResearchStatistics, Probability and UncertaintyComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Fuzzy SystemsApplied SciencesIEEE Transactions on Systems Man and Cybernetics Systems
- Partner nations
- China
In The Last Decade
Dong-Hui Xu
10 papers receiving 353 citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 116
- Artificial Intelligence 114
- Computer Vision and Pattern Recognition 103
- Management Science and Operations Research 85
- Statistics, Probability and Uncertainty 49
Countries citing papers authored by Dong-Hui Xu
This map shows the geographic impact of Dong-Hui Xu'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 Dong-Hui Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong-Hui Xu more than expected).
Fields of papers citing papers by Dong-Hui Xu
This network shows the impact of papers produced by Dong-Hui Xu. 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 Dong-Hui Xu. The network helps show where Dong-Hui Xu may publish in the future.
Co-authorship network of co-authors of Dong-Hui Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Dong-Hui Xu. A scholar is included among the top collaborators of Dong-Hui Xu 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 Dong-Hui Xu. Dong-Hui Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 21 | |
| 5 | 35 | |
| 6 | 79 | |
| 7 | 18 | |
| 8 | 116 | |
| 9 | CO-OCCURRENCE MATRICES FOR VOLUMETRIC DATA | 84 |
| 10 | Classification of Tissues in Computed Tomography using Decision Trees | 7 |
About Dong-Hui Xu
Dong-Hui Xu is a scholar working on Biological Psychiatry, Radiological and Ultrasound Technology and Computational Theory and Mathematics, having authored 10 papers that have together received 368 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (2 papers), AI in cancer detection (2 papers) and Cognitive Computing and Networks (2 papers). The work is most often cited by research in Management Science and Operations Research (85 citations), Statistics, Probability and Uncertainty (49 citations) and Computer Vision and Pattern Recognition (103 citations). Dong-Hui Xu has collaborated with scholars based in China. Frequent co-authors include Daniela Raicu, Jacob Furst, Hu‐Chen Liu, Jia Huang, Mingshun Song, Xueguo Xu, Yun Xiong, Hua Shi, Chunyan Duan and David S. Channin. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Applied Sciences and IEEE Transactions on Systems Man and Cybernetics Systems.
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.