Jingwei Wei
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- MRI in cancer diagnosis
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 21
- Hepatology 18
- Hepatocellular Carcinoma Treatment and Prognosis 18
- Co-authors
- Jie Tian (34 shared papers)Dongsheng Gu (25 shared papers)Di Dong (11 shared papers)Zhenyu Liu (7 shared papers)Shuo Wang (1 shared paper)Bo Li (1 shared paper)Kai Sun (1 shared paper)Xuezhi Zhou (1 shared paper)
- Journals
- European Radiology (6 papers)Journal of Magnetic Resonance Imaging (3 papers)Frontiers in Oncology (3 papers)Medical Physics (2 papers)Analytical Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jingwei Wei
52 papers receiving 2.9k citations
Jingwei Wei's Hit Papers
Peers
Comparison fields: 5 of 106
- Hepatology 752
- Radiology, Nuclear Medicine and Imaging 1.3k
- Health Informatics 81
- Genetics 195
- Pulmonary and Respiratory Medicine 421
Countries citing papers authored by Jingwei Wei
This map shows the geographic impact of Jingwei Wei'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 Jingwei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingwei Wei more than expected).
Fields of papers citing papers by Jingwei Wei
This network shows the impact of papers produced by Jingwei Wei. 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 Jingwei Wei. The network helps show where Jingwei Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingwei Wei, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges Hit paper breakdown → | 2019 | 690 |
| 2 | 2020 | 247 | |
| 3 | 2018 | 246 | |
| 4 | 2019 | 176 | |
| 5 | 2019 | 127 | |
| 6 | 2019 | 125 | |
| 7 | 2018 | 107 | |
| 8 | 2020 | 88 | |
| 9 | 2019 | 75 | |
| 10 | 2020 | 68 | |
| 11 | 2018 | 65 | |
| 12 | 2018 | 65 | |
| 13 | 2019 | 63 | |
| 14 | 2019 | 63 | |
| 15 | 2019 | 63 | |
| 16 | 2022 | 59 | |
| 17 | 2022 | 55 | |
| 18 | 2021 | 54 | |
| 19 | 2019 | 51 | |
| 20 | 2020 | 49 |
About Jingwei Wei
Jingwei Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Biomedical Engineering, Pulmonary and Respiratory Medicine and Electrical and Electronic Engineering, having authored 56 papers that have together received 2.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (21 papers), Hepatocellular Carcinoma Treatment and Prognosis (18 papers), Advanced X-ray and CT Imaging (5 papers), Glioma Diagnosis and Treatment (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers), CCD and CMOS Imaging Sensors (4 papers), Analog and Mixed-Signal Circuit Design (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Hepatology (752 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Health Informatics (81 citations), Genetics (195 citations) and Pulmonary and Respiratory Medicine (421 citations). Jingwei Wei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jie Tian, Dongsheng Gu, Di Dong, Zhenyu Liu, Shuo Wang, Bo Li, Kai Sun, Xuezhi Zhou, Longfei Li and Meiyun Wang. Their work appears in journals such as European Radiology, Journal of Magnetic Resonance Imaging, Frontiers in Oncology, Medical Physics and Analytical Chemistry.
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.