Dapeng Shi

1.6k citations
56 papers · 1.3k indexed · h-index 21

Impact in

    • MRI in cancer diagnosis
    • Advanced Neuroimaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced MRI Techniques and Applications
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Dapeng Shi

50 papers receiving 1.3k citations

Peers

Dapeng Shi
Comparison fields: 5 of 107
  • Radiology, Nuclear Medicine and Imaging 645
  • Hepatology 152
  • Cognitive Neuroscience 356
  • Experimental and Cognitive Psychology 230
  • Genetics 85
Replace Guillaume Gilbert with:
Guillaume Gilbert Canada
Sheng Xie China
Na‐Young Shin South Korea
Félix Renard France
Shinichi Wada Japan
Girolamo Crisi Italy
T Nishimura Japan
Markus Klarhöfer Switzerland
Deniz Bilecen Switzerland
Marcello Cadioli Italy
Dapeng Shi relative to Guillaume Gilbert Canada Guillaume Gilbert's profile →
Citations per field
00.5×4.5×
Guillaume Gilbert · 1×
Citations per year

Countries citing papers authored by Dapeng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Dapeng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dapeng Shi, 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 Dapeng Shi Line = papers co-authored together Dapeng Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20241
4 202314
5 20230
6 20221
7 20208
8 201922
9 201720
10 201542
11 20155
12 201526
13 201412
14 201336
15 20121
16 201133
17 201123
18 20108
19 201025
20
CT Diagnosis of Osteogenic Benign Tumor and Tumor Mimics in Orbit
20071

About Dapeng Shi

Dapeng Shi is a scholar working on Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, Ophthalmology, Cognitive Neuroscience and Ecological Modeling, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (13 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Functional Brain Connectivity Studies (7 papers), Advanced MRI Techniques and Applications (6 papers), Sleep and related disorders (5 papers), Glaucoma and retinal disorders (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (645 citations), Hepatology (152 citations), Cognitive Neuroscience (356 citations), Experimental and Cognitive Psychology (230 citations) and Genetics (85 citations). Dapeng Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Meiyun Wang, Junling Xu, Jie Tian, Yongli Li, Jingliang Cheng, E. Mark Haacke, Shewei Dou, Yan Bai, Hongju Zhang and Wei Qin. Their work appears in journals such as European Journal of Radiology, Neuroradiology, Scientific Reports, European Radiology and Frontiers in Neuroscience.

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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