Du He
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Surgical Treatments
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 16
- Pancreatic and Hepatic Oncology Research 7
- Colorectal Cancer Surgical Treatments 6
-
- Radiomics and Machine Learning in Medical Imaging 7
- Ultrasound Imaging and Elastography 5
- Co-authors
- Bin Song (5 shared papers)Zixing Huang (5 shared papers)Changli Lu (6 shared papers)Wenwu Ling (5 shared papers)Jiawu Li (5 shared papers)Mou Li (3 shared papers)Xin‐Zu Chen (5 shared papers)Wei Zhang (3 shared papers)
- Journals
- Medicine (9 papers)Frontiers in Oncology (4 papers)Cancer Management and Research (2 papers)BMC Cancer (2 papers)Annals of Translational Medicine (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Du He
62 papers receiving 887 citations
Peers
Comparison fields: 5 of 59
- Radiology, Nuclear Medicine and Imaging 222
- Oncology 202
- Health Informatics 21
- Hepatology 45
- Cancer Research 59
Countries citing papers authored by Du He
This map shows the geographic impact of Du He'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 Du He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Du He more than expected).
Fields of papers citing papers by Du He
This network shows the impact of papers produced by Du He. 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 Du He. The network helps show where Du He may publish in the future.
Co-authors
The 25 scholars most cited alongside Du He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 102 | |
| 2 | 2015 | 63 | |
| 3 | 2015 | 51 | |
| 4 | 2020 | 50 | |
| 5 | 2021 | 45 | |
| 6 | 2021 | 37 | |
| 7 | 2014 | 36 | |
| 8 | 2016 | 35 | |
| 9 | 2019 | 33 | |
| 10 | 2016 | 31 | |
| 11 | 2018 | 28 | |
| 12 | 2020 | 28 | |
| 13 | 2017 | 26 | |
| 14 | 2016 | 23 | |
| 15 | 2017 | 20 | |
| 16 | 2021 | 18 | |
| 17 | 2020 | 16 | |
| 18 | 2021 | 14 | |
| 19 | 2024 | 14 | |
| 20 | 2018 | 13 |
About Du He
Du He is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Cancer Research and Hepatology, having authored 65 papers that have together received 906 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Colorectal Cancer Surgical Treatments (6 papers), Gastric Cancer Management and Outcomes (6 papers), AI in cancer detection (5 papers), Esophageal Cancer Research and Treatment (5 papers), Ultrasound Imaging and Elastography (5 papers) and Endometrial and Cervical Cancer Treatments (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (222 citations), Oncology (202 citations), Health Informatics (21 citations), Hepatology (45 citations) and Cancer Research (59 citations). Du He has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Bin Song, Zixing Huang, Changli Lu, Wenwu Ling, Jiawu Li, Mou Li, Xin‐Zu Chen, Wei Zhang, Hongkun Yin and Qiang Lu. Their work appears in journals such as Medicine, Frontiers in Oncology, Cancer Management and Research, BMC Cancer and Annals of Translational Medicine.
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.