Cheng Ge
Impact in
- Health Informatics top 10%
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Animal Nutrition and Physiology 4
-
- Radiomics and Machine Learning in Medical Imaging 4
- COVID-19 diagnosis using AI 3
- Co-authors
- Yichi Zhang (1 shared paper)Jun Ma (1 shared paper)Shangqing Liu (1 shared paper)Qiyuan Wang (1 shared paper)Shucheng Cao (1 shared paper)Yuhui Li (1 shared paper)Yao Zhang (1 shared paper)Jian He (1 shared paper)
- Journals
- Journal of Animal Science (2 papers)Poultry Science (2 papers)International Journal of Biological Macromolecules (1 paper)Medical Image Analysis (1 paper)Leukemia (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Cheng Ge
29 papers receiving 809 citations
Cheng Ge's Hit Papers
Peers
Comparison fields: 5 of 105
- Health Informatics 23
- Computer Vision and Pattern Recognition 240
- Radiology, Nuclear Medicine and Imaging 224
- Microbiology 50
- Neurology 52
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 37 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 | 276 |
| 2 | 2022 | 93 | |
| 3 | 2023 | 81 | |
| 4 | 2024 | 68 | |
| 5 | 2015 | 51 | |
| 6 | 2016 | 34 | |
| 7 | 2015 | 32 | |
| 8 | 2015 | 30 | |
| 9 | 2017 | 24 | |
| 10 | Clonal nature of chronic neutrophilic leukemia. | 1993 | 22 |
| 11 | 2017 | 18 | |
| 12 | 2025 | 18 | |
| 13 | 2022 | 11 | |
| 14 | 2017 | 11 | |
| 15 | 2025 | 8 | |
| 16 | Expression of HBsAg gene in transgenic goats under direction of bovine alpha-S1 casein control sequence. | 1997 | 7 |
| 17 | 2009 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2024 | 5 |
About Cheng Ge
Cheng Ge is a scholar working on Animal Science and Zoology, Radiology, Nuclear Medicine and Imaging, Neurology, Computer Vision and Pattern Recognition and Genetics, having authored 37 papers that have together received 825 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Animal Nutrition and Physiology (4 papers), COVID-19 diagnosis using AI (3 papers), Brain Tumor Detection and Classification (3 papers), Advanced Neural Network Applications (3 papers), Medical Image Segmentation Techniques (3 papers), Biochemical and Structural Characterization (2 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). The work is most often cited by research in Health Informatics (23 citations), Computer Vision and Pattern Recognition (240 citations), Radiology, Nuclear Medicine and Imaging (224 citations), Microbiology (50 citations) and Neurology (52 citations). Cheng Ge has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yichi Zhang, Jun Ma, Shangqing Liu, Qiyuan Wang, Shucheng Cao, Yuhui Li, Yao Zhang, Jian He, Xiaoping Yang and Qi Zhang. Their work appears in journals such as Journal of Animal Science, Poultry Science, International Journal of Biological Macromolecules, Medical Image Analysis and Leukemia.
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.