Shuzhen Cong
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Thyroid Cancer Diagnosis and Treatment
Papers in
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- Thyroid Cancer Diagnosis and Treatment 9
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- Liver Disease Diagnosis and Treatment 2
- Hepatitis B Virus Studies 1
- Co-authors
- Shufang Pei (7 shared papers)Lu Zhang (3 shared papers)Shuixing Zhang (3 shared papers)Bin Zhang (3 shared papers)Yuhao Dong (2 shared papers)Wenhui Huang (1 shared paper)Jie Tian (1 shared paper)Xiaokai Mo (1 shared paper)
In The Last Decade
Shuzhen Cong
18 papers receiving 334 citations
Peers
Comparison fields: 5 of 61
- Health Informatics 27
- Endocrinology, Diabetes and Metabolism 159
- Health Information Management 30
- Radiology, Nuclear Medicine and Imaging 86
- Hepatology 20
Countries citing papers authored by Shuzhen Cong
This map shows the geographic impact of Shuzhen Cong'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 Shuzhen Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuzhen Cong more than expected).
Fields of papers citing papers by Shuzhen Cong
This network shows the impact of papers produced by Shuzhen Cong. 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 Shuzhen Cong. The network helps show where Shuzhen Cong may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuzhen Cong, 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 | 2019 | 108 | |
| 2 | 2017 | 84 | |
| 3 | 2019 | 19 | |
| 4 | 2020 | 19 | |
| 5 | 2017 | 19 | |
| 6 | 2020 | 18 | |
| 7 | 2014 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2019 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2023 | 3 | |
| 17 | [Efficacy of ultrasound-guided lauromacrogol sclerotherapy for benign thyroid cysts and factors affecting the therapeutic effect]. | 2016 | 1 |
| 18 | [Value of ROI A value in strain ratio and elasticity scores in differential diagnosis of thyroid nodules using ultrasonic elastography]. | 2013 | 1 |
| 19 | 2020 | 0 |
About Shuzhen Cong
Shuzhen Cong is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Surgery, having authored 19 papers that have together received 341 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Oxidative Organic Chemistry Reactions (1 paper), Porphyrin and Phthalocyanine Chemistry (1 paper), Hepatitis B Virus Studies (1 paper) and Hepatitis C virus research (1 paper). The work is most often cited by research in Health Informatics (27 citations), Endocrinology, Diabetes and Metabolism (159 citations), Health Information Management (30 citations), Radiology, Nuclear Medicine and Imaging (86 citations) and Hepatology (20 citations). Shuzhen Cong has collaborated with scholars based in China and Japan. Frequent co-authors include Shufang Pei, Lu Zhang, Shuixing Zhang, Bin Zhang, Yuhao Dong, Wenhui Huang, Jie Tian, Xiaokai Mo, Yubing Chen and Juanjuan Liu. Their work appears in journals such as Frontiers in Oncology, Medicine, Frontiers in Endocrinology, European Radiology and Digestive Diseases.
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.