Zebin Chen

27 papers receiving 514 citations

Peers

Zebin Chen
Comparison fields: 5 of 50
  • Hepatology 237
  • Health Informatics 7
  • Radiology, Nuclear Medicine and Imaging 81
  • Cancer Research 49
  • Oncology 75
Replace Raimondo Di Giacomo with:
Raimondo Di Giacomo Italy
Ying Deng China
Alessandra R. Garcia United States
Diederik J. Höppener Netherlands
Wan Ling Tan Singapore
Olivier Sutter France
Hiroaki Nagano Japan
Shiyong Lin China
Lianghe Lu China
Mikhail Silk United States
Zebin Chen relative to Raimondo Di Giacomo Italy Raimondo Di Giacomo's profile →
Citations per field
00.5×10×14×
Raimondo Di Giacomo · 1×
Citations per year

Countries citing papers authored by Zebin Chen

Since Specialization
Citations

This map shows the geographic impact of Zebin Chen'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 Zebin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zebin Chen more than expected).

Fields of papers citing papers by Zebin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zebin Chen. 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 Zebin Chen. The network helps show where Zebin Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Zebin Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zebin Chen Line = papers co-authored together Zebin Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019164
2 202260
3 201954
4 202339
5 201729
6 201621
7 202119
8 202018
9 202217
10 201717
11
Treatment selection of recurrent hepatocellular carcinoma with microvascular invasion at the initial hepatectomy.
201916
12 201816
13 202410
14 20217
15 20245
16 20214
17 20214
18 20193
19 20223
20 20242

About Zebin Chen

Zebin Chen is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pathology and Forensic Medicine and Surgery, having authored 30 papers that have together received 518 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (2 papers), Cancer Mechanisms and Therapy (2 papers), Artificial Intelligence in Healthcare (1 paper), Epigenetics and DNA Methylation (1 paper), Heat shock proteins research (1 paper) and Advanced Causal Inference Techniques (1 paper). The work is most often cited by research in Hepatology (237 citations), Health Informatics (7 citations), Radiology, Nuclear Medicine and Imaging (81 citations), Cancer Research (49 citations) and Oncology (75 citations). Zebin Chen has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Zhenwei Peng, Shuling Chen, Sui Peng, Ming Kuang, Qian Zhou, Han Xiao, Shi‐Ting Feng, Bin Li, Zhihang Chen and Lili Chen. Their work appears in journals such as European Radiology, Journal of Clinical Oncology, British Journal of Clinical Pharmacology, Translational Lung Cancer Research and Biochemical and Biophysical Research Communications.

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.

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