Hong Ding
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis 36
- Liver Disease and Transplantation 16
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 47
- Hepatitis B Virus Studies 11
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- MRI in cancer diagnosis 12
- Radiomics and Machine Learning in Medical Imaging 12
- Surgery top 5%
- Cholangiocarcinoma and Gallbladder Cancer Studies 9
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- Ultrasound and Hyperthermia Applications 19
In The Last Decade
Hong Ding
137 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 135
- Hepatology 866
- Epidemiology 753
- Radiology, Nuclear Medicine and Imaging 495
- Surgery 584
- Endocrinology, Diabetes and Metabolism 209
Countries citing papers authored by Hong Ding
This map shows the geographic impact of Hong Ding'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 Hong Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Ding more than expected).
Fields of papers citing papers by Hong Ding
This network shows the impact of papers produced by Hong Ding. 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 Hong Ding. The network helps show where Hong Ding may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hong Ding, 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 | 2024 | 6 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 31 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 1 | |
| 11 | 2010 | 1 | |
| 12 | Value of contrast-enhanced ultrasound in solid neoplasms of pancreas | 2010 | 2 |
| 13 | Application of projection pursuit based set pair analysis model in the evaluation of underground water quality | 2010 | 1 |
| 14 | 2009 | 1 | |
| 15 | Study on non-point pollution characteristics of urban runoff in Fuzhou city | 2009 | 1 |
| 16 | Preparation and in vitro Transdermal Behavior of Solid Lipid Nanoparticles Loaded with Imiquimod | 2006 | 1 |
| 17 | Runoff Reduction into Hongyashan Reservoir and Analysis on Water Resources Crisis of Minqin Oasis | 2003 | 12 |
| 18 | The Phase Study of Real Time Enhanced-Ultrasonography in the Diagnosis of Focal Liver Lesions | 2003 | 0 |
| 19 | Orientation of Water Seeking in The Area of Water Shortage Located in Qilianshan Mountain Pediment of Hexi Corridor | 2002 | 1 |
| 20 | Trend Prediction and Characteristics of Runoff Variation into the Danghe Reservoir | 2001 | 2 |
About Hong Ding
Hong Ding is a scholar working on Hepatology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 155 papers that have together received 2.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (47 papers), Hepatocellular Carcinoma Treatment and Prognosis (36 papers), Ultrasound and Hyperthermia Applications (19 papers), Liver Disease and Transplantation (16 papers), MRI in cancer diagnosis (12 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Hepatitis B Virus Studies (11 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers). The work is most often cited by research in Hepatology (866 citations), Epidemiology (753 citations) and Radiology, Nuclear Medicine and Imaging (495 citations). Hong Ding has collaborated with scholars based in China, Japan and Malaysia. Frequent co-authors include Wen‐Ping Wang, Beijian Huang, Masatoshi Kudo, Wenping Wang, Yasunori Minami, Kiyoshi Maekawa, Hirokazu Onda, Chen Xu, Jia Zhan and Yoichiro Suetomi.
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.