Jing Wang
Impact in
-
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Radiation top 0.2%
- Advanced Radiotherapy Techniques
Papers in
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- Medical Imaging Techniques and Applications 153
- Radiomics and Machine Learning in Medical Imaging 71
- Radiation Dose and Imaging 50
- Advanced MRI Techniques and Applications 35
- Radiation 67
- Advanced Radiotherapy Techniques 63
Jing Wang
355 papers receiving 7.0k citations
Peers
Comparison fields: 5 of 188
- Radiology, Nuclear Medicine and Imaging 4.6k
- Radiation 1.3k
- Biomedical Engineering 3.1k
- Health Informatics 80
- Computer Vision and Pattern Recognition 1.1k
Countries citing papers authored by Jing Wang
This map shows the geographic impact of Jing Wang'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 Jing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Wang more than expected).
Fields of papers citing papers by Jing Wang
This network shows the impact of papers produced by Jing Wang. 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 Jing Wang. The network helps show where Jing Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jing Wang, 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 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 22 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 7 | |
| 10 | 2019 | 17 | |
| 11 | 2019 | 50 | |
| 12 | 2019 | 61 | |
| 13 | 2019 | 83 | |
| 14 | 2019 | 28 | |
| 15 | 2019 | 34 | |
| 16 | 2013 | 0 | |
| 17 | Design and validation of the measurement strategy based on multi-signal model | 2013 | 0 |
| 18 | 2010 | 192 | |
| 19 | 2009 | 169 | |
| 20 | 2005 | 74 |
About Jing Wang
Jing Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Otorhinolaryngology, Biomedical Engineering and Health Informatics, having authored 392 papers that have together received 7.1k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (153 papers), Advanced X-ray and CT Imaging (105 papers), Radiomics and Machine Learning in Medical Imaging (71 papers), Advanced Radiotherapy Techniques (63 papers), Radiation Dose and Imaging (50 papers), Advanced MRI Techniques and Applications (35 papers), Lung Cancer Diagnosis and Treatment (22 papers) and Colorectal Cancer Screening and Detection (18 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.6k citations), Radiation (1.3k citations), Biomedical Engineering (3.1k citations), Health Informatics (80 citations) and Computer Vision and Pattern Recognition (1.1k citations). Jing Wang has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Tianfang Li, Lei Xing, Zhengrong Liang, Hongbing Lu, Steve Jiang, Lei Zhu, Liyuan Chen, Xuejun Gu, Jianhua Ma and Luo Ouyang. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, Journal of X-Ray Science and Technology, IEEE Access and International Journal of Radiation Oncology*Biology*Physics.
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.