Yahong Luo
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments
Papers in
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- Radiomics and Machine Learning in Medical Imaging 26
- MRI in cancer diagnosis 9
- Medical Imaging Techniques and Applications 4
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- Digital Radiography and Breast Imaging 6
- Sarcoma Diagnosis and Treatment 3
- Co-authors
- Xiran Jiang (28 shared papers)Tao Yu (14 shared papers)Wenyan Jiang (11 shared papers)Yue Dong (23 shared papers)Shandong Wu (5 shared papers)Aly A. Mohamed (3 shared papers)Hong Peng (2 shared papers)Rachel C. Jankowitz (2 shared papers)
- Journals
- Frontiers in Oncology (6 papers)Medical Physics (4 papers)Biomedical Signal Processing and Control (4 papers)Magnetic Resonance Imaging (3 papers)Journal of Magnetic Resonance Imaging (3 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Yahong Luo
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 78
- Radiology, Nuclear Medicine and Imaging 700
- Obstetrics and Gynecology 173
- Health Informatics 20
- Artificial Intelligence 331
- Pulmonary and Respiratory Medicine 294
Countries citing papers authored by Yahong Luo
This map shows the geographic impact of Yahong Luo'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 Yahong Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yahong Luo more than expected).
Fields of papers citing papers by Yahong Luo
This network shows the impact of papers produced by Yahong Luo. 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 Yahong Luo. The network helps show where Yahong Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yahong Luo, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 192 | |
| 2 | 2019 | 155 | |
| 3 | 2018 | 81 | |
| 4 | 2014 | 66 | |
| 5 | 2020 | 63 | |
| 6 | 2021 | 52 | |
| 7 | 2020 | 52 | |
| 8 | 2021 | 43 | |
| 9 | 2021 | 43 | |
| 10 | 2017 | 42 | |
| 11 | 2020 | 40 | |
| 12 | 2021 | 31 | |
| 13 | 2020 | 30 | |
| 14 | 2015 | 28 | |
| 15 | 2022 | 27 | |
| 16 | 2021 | 24 | |
| 17 | 2022 | 24 | |
| 18 | 2021 | 23 | |
| 19 | 2021 | 20 | |
| 20 | 2022 | 19 |
About Yahong Luo
Yahong Luo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology, Artificial Intelligence and Reproductive Medicine, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (26 papers), Endometrial and Cervical Cancer Treatments (14 papers), MRI in cancer diagnosis (9 papers), Digital Radiography and Breast Imaging (6 papers), AI in cancer detection (5 papers), Medical Imaging Techniques and Applications (4 papers), Ovarian cancer diagnosis and treatment (4 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (700 citations), Obstetrics and Gynecology (173 citations), Health Informatics (20 citations), Artificial Intelligence (331 citations) and Pulmonary and Respiratory Medicine (294 citations). Yahong Luo has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Xiran Jiang, Tao Yu, Wenyan Jiang, Yue Dong, Shandong Wu, Aly A. Mohamed, Hong Peng, Rachel C. Jankowitz, Wendie A. Berg and Xiaoyu Wang. Their work appears in journals such as Frontiers in Oncology, Medical Physics, Biomedical Signal Processing and Control, Magnetic Resonance Imaging and Journal of Magnetic Resonance Imaging.
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.