Cheng Zhu
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- Plasma Applications and Diagnostics 3
- Radiomics and Machine Learning in Medical Imaging 3
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- Diabetes, Cardiovascular Risks, and Lipoproteins 7
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- Lipoproteins and Cardiovascular Health 6
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- Diabetes and associated disorders 4
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- Receptor Mechanisms and Signaling 3
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- Chronic Kidney Disease and Diabetes 2
- Dialysis and Renal Disease Management 2
- Co-authors
- Yunpeng WangJian HeYao ZhangXiaoping YangSong GuCheng GeShangqing LiuQi Zhang
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Journal of Cleaner Production (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Cheng Zhu
34 papers receiving 568 citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Health Informatics 9
- Computer Vision and Pattern Recognition 119
- Radiology, Nuclear Medicine and Imaging 134
- Soil Science 48
- 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
The 25 scholars most cited alongside Cheng Zhu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 0 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 13 | |
| 11 | How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study | 2020 | 21 |
| 12 | 2020 | 0 | |
| 13 | 2020 | 10 | |
| 14 | 2018 | 1 | |
| 15 | 2018 | 21 | |
| 16 | 2017 | 4 | |
| 17 | 2015 | 12 | |
| 18 | 2015 | 5 | |
| 19 | 2010 | 0 | |
| 20 | 2008 | 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), Diabetes and associated disorders (4 papers), Plasma Applications and Diagnostics (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Receptor Mechanisms and Signaling (3 papers), Chronic Kidney Disease and Diabetes (2 papers) and Dialysis and Renal Disease Management (2 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.