Zhongxiang Ding
- Radiology, Nuclear Medicine and Imaging top 1%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 5%
- Biomedical Engineering top 10%
- Pulmonary and Respiratory Medicine top 10%
- Topics
- Functional Brain Connectivity Studies (31 papers)Radiomics and Machine Learning in Medical Imaging (30 papers)Advanced Neuroimaging Techniques and Applications (20 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Zhongxiang Ding
120 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Radiology, Nuclear Medicine and Imaging 1.2k
- Artificial Intelligence 431
- Cognitive Neuroscience 335
- Biomedical Engineering 278
- Pulmonary and Respiratory Medicine 258
Countries citing papers authored by Zhongxiang Ding
This map shows the geographic impact of Zhongxiang Ding'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 Zhongxiang Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongxiang Ding more than expected).
Fields of papers citing papers by Zhongxiang Ding
This network shows the impact of papers produced by Zhongxiang Ding. 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 Zhongxiang Ding. The network helps show where Zhongxiang Ding may publish in the future.
Co-authorship network of co-authors of Zhongxiang Ding
This figure shows the co-authorship network connecting the top 25 collaborators of Zhongxiang Ding. A scholar is included among the top collaborators of Zhongxiang Ding 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 Zhongxiang Ding. Zhongxiang Ding 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 | 2 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 6 | |
| 15 | 13 | |
| 16 | 3 | |
| 17 | 19 | |
| 18 | 48 | |
| 19 | Villous adenoma of gallbladder in a patient with systemic lupus erythematosus | 2 |
| 20 | Villous adenoma of gallbladder in a patient with systemic lupus erythematosus. | 2 |
About Zhongxiang Ding
Zhongxiang Ding is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Neurology, having authored 126 papers that have together received 2.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (31 papers), Radiomics and Machine Learning in Medical Imaging (30 papers) and Advanced Neuroimaging Techniques and Applications (20 papers). The work is most often cited by research in Health Informatics (140 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Neurology (247 citations). Zhongxiang Ding has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qi Feng, Dinggang Shen, Dewang Mao, Feng Shi, Zhengluan Liao, Ying Wei, Luoyu Wang, Peipei Pang, Bin Song and Enyan Yu. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.