Daoying Geng
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 18
- MRI in cancer diagnosis 9
- Advanced MRI Techniques and Applications 9
- Epidemiology 21
- Meningioma and schwannoma management 10
- Acute Ischemic Stroke Management 9
- Co-authors
- Yuxin Li (28 shared papers)Ji Xiong (17 shared papers)Jun Zhang (22 shared papers)Chi‐Shing Zee (2 shared papers)Yiping Lu (13 shared papers)Wenli Tan (8 shared papers)Weiyuan Huang (10 shared papers)Bo Yin (14 shared papers)
- Journals
- European Radiology (12 papers)Journal of Computer Assisted Tomography (7 papers)Journal of Magnetic Resonance Imaging (7 papers)Acta Radiologica (4 papers)Neuroradiology (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Daoying Geng
129 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 112
- Genetics 412
- Radiology, Nuclear Medicine and Imaging 464
- Neurology 288
- Neurology 153
- Health Informatics 12
Countries citing papers authored by Daoying Geng
This map shows the geographic impact of Daoying Geng'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 Daoying Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoying Geng more than expected).
Fields of papers citing papers by Daoying Geng
This network shows the impact of papers produced by Daoying Geng. 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 Daoying Geng. The network helps show where Daoying Geng may publish in the future.
Co-authors
The 25 scholars most cited alongside Daoying Geng, 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 102 | |
| 2 | 2018 | 63 | |
| 3 | 2015 | 57 | |
| 4 | 2014 | 55 | |
| 5 | 2018 | 53 | |
| 6 | 2005 | 53 | |
| 7 | 2018 | 53 | |
| 8 | 2017 | 52 | |
| 9 | 2016 | 48 | |
| 10 | 2013 | 47 | |
| 11 | 2012 | 47 | |
| 12 | 2022 | 44 | |
| 13 | 2020 | 39 | |
| 14 | 2020 | 39 | |
| 15 | 2019 | 39 | |
| 16 | 2021 | 36 | |
| 17 | 2002 | 29 | |
| 18 | 2015 | 29 | |
| 19 | 2011 | 26 | |
| 20 | 2021 | 26 |
About Daoying Geng
Daoying Geng is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology, Genetics, Neurology and Pulmonary and Respiratory Medicine, having authored 138 papers that have together received 1.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (20 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), Meningioma and schwannoma management (10 papers), MRI in cancer diagnosis (9 papers), Cerebrovascular and Carotid Artery Diseases (9 papers), Acute Ischemic Stroke Management (9 papers), Advanced MRI Techniques and Applications (9 papers) and Functional Brain Connectivity Studies (8 papers). The work is most often cited by research in Genetics (412 citations), Radiology, Nuclear Medicine and Imaging (464 citations), Neurology (288 citations), Neurology (153 citations) and Health Informatics (12 citations). Daoying Geng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuxin Li, Ji Xiong, Jun Zhang, Chi‐Shing Zee, Yiping Lu, Wenli Tan, Weiyuan Huang, Bo Yin, Jiawei Pan and Kun Lv. Their work appears in journals such as European Radiology, Journal of Computer Assisted Tomography, Journal of Magnetic Resonance Imaging, Acta Radiologica and Neuroradiology.
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.