Peng Shi

661 total citations · 1 hit paper
27 papers, 491 citations indexed

About

Peng Shi is a scholar working on Biomedical Engineering, Mechanical Engineering and Surgery. According to data from OpenAlex, Peng Shi has authored 27 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 12 papers in Mechanical Engineering and 10 papers in Surgery. Recurrent topics in Peng Shi's work include Soft Robotics and Applications (15 papers), Teleoperation and Haptic Systems (7 papers) and Surgical Simulation and Training (6 papers). Peng Shi is often cited by papers focused on Soft Robotics and Applications (15 papers), Teleoperation and Haptic Systems (7 papers) and Surgical Simulation and Training (6 papers). Peng Shi collaborates with scholars based in China, Japan and Australia. Peng Shi's co-authors include Shuxiang Guo, Xiaoliang Jin, Hideyuki Hirata, Masahiko Kawanishi, Takashi Tamiya, Pengfei Liu, Jinyang Zheng, Jian Guo, Feng‐Ni Jiang and Xiang Chen and has published in prestigious journals such as Energy storage materials, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.

In The Last Decade

Peng Shi

26 papers receiving 483 citations

Hit Papers

Unlocking plateau capacity with versatile precursor cross... 2024 2026 2025 2024 20 40 60

Peers

Peng Shi
Comparison fields: 5 of 47
  • Biomedical Engineering 190
  • Electrical and Electronic Engineering 187
  • Surgery 130
  • Mechanical Engineering 127
  • Automotive Engineering 91
Replace Yikai Shi with:
Yikai Shi China
Xu Ma China
Yung-Hang Chang United States
Evan Baker United States
Mostafa S. A. ElSayed Canada
Ang Chen China
Desmond Y. R. Chong Singapore
Amir Ali Amiri Moghadam United States
Shuxian Zheng China
Yikai Shi China View profile →
Citations per field, relative to Peng Shi
Peng Shi · 1×
Citations per year, relative to Peng Shi
Peng Shi · 1×

Countries citing papers authored by Peng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Peng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Shi. A scholar is included among the top collaborators of Peng 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 Peng Shi. Peng 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 1
3 4
4 7
5
Unlocking plateau capacity with versatile precursor crosslinking for carbon anodes in Na-ion batteries breakdown →
73
6 5
7 8
8 26
9 7
10 105
11 29
12 8
13 56
14 34
15 2
16 4
17 9
18 1
19 1
20 66

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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