Cheng Ge
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 6
- COVID-19 diagnosis using AI 3
- Co-authors
- Jun Ma (2 shared papers)Xingle An (2 shared papers)Jian He (2 shared papers)Xiaoping Yang (3 shared papers)YL Kwong (1 shared paper)Yichi Zhang (1 shared paper)Congcong Wang (2 shared papers)Yunpeng Wang (1 shared paper)
- Journals
- Journal of Animal Science (2 papers)International Journal of Biological Macromolecules (1 paper)Abdominal Radiology (1 paper)Leukemia (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Cheng Ge
24 papers receiving 509 citations
Cheng Ge's Hit Papers
Peers
Comparison fields: 5 of 101
- Health Informatics 22
- Radiology, Nuclear Medicine and Imaging 177
- Microbiology 44
- Computer Vision and Pattern Recognition 120
- Animal Science and Zoology 53
Countries citing papers authored by Cheng Ge
This map shows the geographic impact of Cheng Ge'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 Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Ge more than expected).
Fields of papers citing papers by Cheng Ge
This network shows the impact of papers produced by Cheng Ge. 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 Ge. The network helps show where Cheng Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng Ge, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? Hit paper breakdown → | 2021 | 178 |
| 2 | 2023 | 63 | |
| 3 | Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation | 2020 | 51 |
| 4 | 2015 | 49 | |
| 5 | 2015 | 29 | |
| 6 | 2016 | 28 | |
| 7 | 2017 | 21 | |
| 8 | Clonal nature of chronic neutrophilic leukemia. | 1993 | 21 |
| 9 | 2017 | 16 | |
| 10 | 2022 | 10 | |
| 11 | 2017 | 10 | |
| 12 | Expression of HBsAg gene in transgenic goats under direction of bovine alpha-S1 casein control sequence. | 1997 | 6 |
| 13 | 2009 | 6 | |
| 14 | Target classification with "cat eye effect | 2003 | 4 |
| 15 | 2023 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2021 | 3 |
About Cheng Ge
Cheng Ge is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Computer Vision and Pattern Recognition, Genetics and Neurology, having authored 31 papers that have together received 519 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 diagnosis using AI (3 papers), Brain Tumor Detection and Classification (3 papers), Medical Image Segmentation Techniques (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Animal Nutrition and Physiology (2 papers), Acute Myeloid Leukemia Research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Health Informatics (22 citations), Radiology, Nuclear Medicine and Imaging (177 citations), Microbiology (44 citations), Computer Vision and Pattern Recognition (120 citations) and Animal Science and Zoology (53 citations). Cheng Ge has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jun Ma, Xingle An, Jian He, Xiaoping Yang, YL Kwong, Yichi Zhang, Congcong Wang, Yunpeng Wang, Xin Liu and Song Gu. Their work appears in journals such as Journal of Animal Science, International Journal of Biological Macromolecules, Abdominal Radiology, Leukemia and International Journal of Molecular Sciences.
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.