Wei Diao
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Radiopharmaceutical Chemistry and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
- Medical Imaging Techniques and Applications 4
- Radiopharmaceutical Chemistry and Applications 3
- MRI in cancer diagnosis 2
- Oncology 7
- Peptidase Inhibition and Analysis 3
- Co-authors
- Zhiyun Jia (14 shared papers)Fangfang Tian (6 shared papers)Yuan Cao (8 shared papers)Guohua Shen (1 shared paper)Yunfu Deng (1 shared paper)Yue Cheng (2 shared papers)Lili Pan (2 shared papers)Xiaoai Wu (2 shared papers)
- Journals
- Nuclear Medicine Communications (2 papers)Neuropsychology Review (2 papers)ACS Chemical Neuroscience (1 paper)Current Topics in Medicinal Chemistry (1 paper)Aging (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wei Diao
23 papers receiving 380 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 10
- Radiology, Nuclear Medicine and Imaging 170
- Otorhinolaryngology 17
- Cancer Research 54
- Hepatology 21
Countries citing papers authored by Wei Diao
This map shows the geographic impact of Wei Diao'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 Wei Diao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Diao more than expected).
Fields of papers citing papers by Wei Diao
This network shows the impact of papers produced by Wei Diao. 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 Wei Diao. The network helps show where Wei Diao may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Diao, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 54 | |
| 2 | 2018 | 45 | |
| 3 | 2022 | 44 | |
| 4 | 2021 | 42 | |
| 5 | 2020 | 34 | |
| 6 | 2021 | 30 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 19 | |
| 9 | 2006 | 17 | |
| 10 | 2018 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2014 | 4 | |
| 19 | 2013 | 3 | |
| 20 | 2020 | 3 |
About Wei Diao
Wei Diao is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Surgery, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 385 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (4 papers), Peptidase Inhibition and Analysis (3 papers), Breast Cancer Treatment Studies (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), MRI in cancer diagnosis (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (170 citations), Otorhinolaryngology (17 citations), Cancer Research (54 citations) and Hepatology (21 citations). Wei Diao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhiyun Jia, Fangfang Tian, Yuan Cao, Guohua Shen, Yunfu Deng, Yue Cheng, Lili Pan, Xiaoai Wu, Xuenong Gao and Xianghui Liang. Their work appears in journals such as Nuclear Medicine Communications, Neuropsychology Review, ACS Chemical Neuroscience, Current Topics in Medicinal Chemistry and Aging.
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.