Peng Shi

1.2k total citations
100 papers, 814 citations indexed

About

Peng Shi is a scholar working on Materials Chemistry, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peng Shi has authored 100 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Materials Chemistry, 15 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peng Shi's work include Nuclear Materials and Properties (18 papers), Fusion materials and technologies (14 papers) and Complex Network Analysis Techniques (12 papers). Peng Shi is often cited by papers focused on Nuclear Materials and Properties (18 papers), Fusion materials and technologies (14 papers) and Complex Network Analysis Techniques (12 papers). Peng Shi collaborates with scholars based in China, United States and Japan. Peng Shi's co-authors include Hai Zhuge, Ying Jin, Bingwu Liu, Zhaoyang Zhao, Ying Hu, Xiaolin Wang, Xiaolin Wang, Yu Yang, Zhi‐Lei Wu and Yanling Shao and has published in prestigious journals such as The Journal of Physical Chemistry C, Chemical Physics Letters and International Journal of Hydrogen Energy.

In The Last Decade

Peng Shi

88 papers receiving 786 citations

Peers

Peng Shi
Comparison fields: 5 of 126
  • Materials Chemistry 282
  • Artificial Intelligence 160
  • Information Systems 123
  • Computer Networks and Communications 120
  • Mechanical Engineering 111
Replace Tianyi Xu with:
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Jongsoo Park South Korea
Xianghua Li China
Vincent Lee United States
Bei Chen China
Tianyi Xu 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 0
4 16
5 0
6 0
7 2
8 1
9 3
10
Research Progress on the Desorption Behavior of Hydrides in Zirconium Alloys
1
11 1
12
Fast algorithms for mining Strong Jumping Emerging Patterns using the contrast pattern tree
1
13
Equivalent sliding mode controller for ball and plate system based on RBF optimized by PSO
2
14 5
15
Internet of Things Application Fundamental Framework Based on SOA
3
16
Research and design on secure OA system model
1
17
Dry matter growth model for paddy in water-saving irrigation
4
18
Segmentation of Free format Handwritten Chinese Characters Based on Structure Features of Characters
3
19
Research and Development of Crop Water Production Functions
2
20
A multi-resolution image-matching algorithm based on displacement field
0

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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