Yu Shi

4.7k total citations · 1 hit paper
184 papers, 2.5k citations indexed

About

Yu Shi is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Yu Shi has authored 184 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 35 papers in Radiology, Nuclear Medicine and Imaging and 26 papers in Molecular Biology. Recurrent topics in Yu Shi's work include Liver Disease Diagnosis and Treatment (19 papers), Pancreatic and Hepatic Oncology Research (18 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Yu Shi is often cited by papers focused on Liver Disease Diagnosis and Treatment (19 papers), Pancreatic and Hepatic Oncology Research (18 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Yu Shi collaborates with scholars based in China, United States and Nepal. Yu Shi's co-authors include Richard L. Ehman, Kevin J. Glaser, Robert J. Gillies, Wei Mu, Jie Tian, Jhanelle E. Gray, Matthew B. Schabath, Lei Jiang, Ilke Tunali and Qiyong Guo and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Yu Shi

160 papers receiving 2.5k citations

Hit Papers

Predicting equilibrium distributions for molecular system... 2024 2026 2025 2024 10 20 30 40 50

Peers

Yu Shi
Comparison fields: 5 of 161
  • Radiology, Nuclear Medicine and Imaging 737
  • Oncology 577
  • Molecular Biology 530
  • Surgery 382
  • Epidemiology 380
Replace Jun Chen with:
Jun Chen China
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Tetsuya Higuchi Japan
Arnout Ruifrok Netherlands
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Jun Chen China View profile →
Citations per field, relative to Yu Shi
Yu Shi · 1×
Citations per year, relative to Yu Shi
Yu Shi · 1×

Countries citing papers authored by Yu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Shi. A scholar is included among the top collaborators of Yu Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu Shi. Yu Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 4
3 2
4 0
5 2
6 8
7 1
8 1
9
Predicting equilibrium distributions for molecular systems with deep learning breakdown →
59
10 6
11 3
12 5
13 1
14 1
15 5
16 8
17
TERT copy gain predicts the outcome of high-dose interferon α-2b therapy in acral melanoma
0
18
Association of arteriosclerosis and/or atherosclerosis with hypertensive target organ damage in the community-dwelling elderly Chinese: the Northern Shanghai Study
1
19
A systematic review and meta-analysis of the risk of diarrhea associated with vandetanib treatment in carcinoma patients
1
20
Limitation and Solution of Current IP Address Management for Internet
1

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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