Ge ZHANG
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- Advanced SAR Imaging Techniques 3
- Robotics and Sensor-Based Localization 3
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- MRI in cancer diagnosis 3
- Radiomics and Machine Learning in Medical Imaging 3
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- Advanced Image and Video Retrieval Techniques 3
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- Cloud Computing and Resource Management 4
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- Low-power high-performance VLSI design 3
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- Machine Learning in Bioinformatics 2
- Cited by
- Aerospace EngineeringRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Colloid and Interface Science (1 paper)IEEE Access (1 paper)
In The Last Decade
Ge ZHANG
41 papers receiving 282 citations
Peers
Comparison fields: 5 of 97
- Aerospace Engineering 49
- Radiology, Nuclear Medicine and Imaging 44
- Computer Vision and Pattern Recognition 37
- Geology 9
- Health Informatics 2
Countries citing papers authored by Ge ZHANG
This map shows the geographic impact of Ge ZHANG'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 Ge ZHANG with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge ZHANG more than expected).
Fields of papers citing papers by Ge ZHANG
This network shows the impact of papers produced by Ge ZHANG. 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 Ge ZHANG. The network helps show where Ge ZHANG may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ge ZHANG, 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 | 2024 | 20 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2021 | 29 | |
| 15 | 2020 | 12 | |
| 16 | 2020 | 7 | |
| 17 | 2019 | 33 | |
| 18 | 2019 | 28 | |
| 19 | Understanding Users’ Recommendation Intention of Taxi-hailing Apps: An Internal Perception Perspective | 2017 | 4 |
| 20 | Algorithms of Web Course Selection-Arrangement System Based on Varied Probability | 2010 | 1 |
About Ge ZHANG
Ge ZHANG is a scholar working on Aerospace Engineering, Information Systems and Hardware and Architecture, having authored 52 papers that have together received 298 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (4 papers), MRI in cancer diagnosis (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Low-power high-performance VLSI design (3 papers), Advanced SAR Imaging Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Robotics and Sensor-Based Localization (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Aerospace Engineering (49 citations), Radiology, Nuclear Medicine and Imaging (44 citations) and Computer Vision and Pattern Recognition (37 citations). Ge ZHANG has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Yangdong Ye, Chaokun Yan, Junwei Luo, Huimin Luo, Jingjing Ma, Jun Ma, Ping Zhou, Christopher Dunsby, Hao Nie and Sevan Harput. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Colloid and Interface Science and IEEE Access.
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.