Cheng Zhu
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Artificial Intelligence
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Yunpeng WangJian HeYao ZhangXiaoping YangSong GuCheng GeShangqing LiuQi Zhang
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers)Lipoproteins and Cardiovascular Health (6 papers)Diabetes and associated disorders (4 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Cleaner ProductionScientific Reports
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Cheng Zhu
34 papers receiving 568 citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Radiology, Nuclear Medicine and Imaging 134
- Computer Vision and Pattern Recognition 119
- Molecular Biology 94
- Artificial Intelligence 76
- Endocrinology, Diabetes and Metabolism 74
Countries citing papers authored by Cheng Zhu
This map shows the geographic impact of Cheng Zhu'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 Cheng Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Zhu more than expected).
Fields of papers citing papers by Cheng Zhu
This network shows the impact of papers produced by Cheng Zhu. 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 Cheng Zhu. The network helps show where Cheng Zhu may publish in the future.
Co-authorship network of co-authors of Cheng Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Zhu. A scholar is included among the top collaborators of Cheng Zhu 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 Cheng Zhu. Cheng Zhu 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 13 | |
| 11 | How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study | 21 |
| 12 | 0 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 21 | |
| 16 | 4 | |
| 17 | 12 | |
| 18 | 5 | |
| 19 | 0 | |
| 20 | 17 |
About Cheng Zhu
Cheng Zhu is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 579 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Lipoproteins and Cardiovascular Health (6 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Health Informatics (9 citations), Computer Vision and Pattern Recognition (119 citations) and Radiology, Nuclear Medicine and Imaging (134 citations). Cheng Zhu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yunpeng Wang, Jian He, Yao Zhang, Xiaoping Yang, Song Gu, Cheng Ge, Shangqing Liu, Qi Zhang, Congcong Wang and Yichi Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and Scientific Reports.
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.