Dajing Guo
Impact in
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
Papers in
- Hepatology 19
- Hepatocellular Carcinoma Treatment and Prognosis 16
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- Venous Thromboembolism Diagnosis and Management 8
Dajing Guo
92 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Radiology, Nuclear Medicine and Imaging 1.4k
- Infectious Diseases 1.0k
- Critical Care and Intensive Care Medicine 214
- Neurology 596
- Health Informatics 47
Countries citing papers authored by Dajing Guo
This map shows the geographic impact of Dajing Guo'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 Dajing Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dajing Guo more than expected).
Fields of papers citing papers by Dajing Guo
This network shows the impact of papers produced by Dajing Guo. 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 Dajing Guo. The network helps show where Dajing Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Dajing Guo, 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 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 29 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 29 | |
| 16 | 2020 | 64 | |
| 17 | 2020 | 45 | |
| 18 | 2020 | 4 | |
| 19 | 2019 | 18 | |
| 20 | 2019 | 70 |
About Dajing Guo
Dajing Guo is a scholar working on Hepatology, Internal Medicine, Radiology, Nuclear Medicine and Imaging, Biomaterials and Biomedical Engineering, having authored 102 papers that have together received 3.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (24 papers), Hepatocellular Carcinoma Treatment and Prognosis (16 papers), MRI in cancer diagnosis (15 papers), Nanoparticle-Based Drug Delivery (15 papers), Nanoplatforms for cancer theranostics (13 papers), Ultrasound and Hyperthermia Applications (13 papers), Photoacoustic and Ultrasonic Imaging (10 papers) and Venous Thromboembolism Diagnosis and Management (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Infectious Diseases (1.0k citations), Critical Care and Intensive Care Medicine (214 citations), Neurology (596 citations) and Health Informatics (47 citations). Dajing Guo has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Fang Zheng, Linli Chen, Jiong Wu, Chuanming Li, Kunhua Li, WU Fa-qi, Zhigang Wang, Wenbing Zeng, Xiaojia Wu and Chuanming Li. Their work appears in journals such as International Journal of Nanomedicine, European Radiology, European Journal of Radiology, ACS Applied Materials & Interfaces and Korean Journal of Radiology.
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.