Xin Shi

623 total citations
53 papers, 444 citations indexed

About

Xin Shi is a scholar working on Biomedical Engineering, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Xin Shi has authored 53 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 9 papers in Artificial Intelligence and 8 papers in Civil and Structural Engineering. Recurrent topics in Xin Shi's work include Muscle activation and electromyography studies (8 papers), Seismic Performance and Analysis (7 papers) and Structural Behavior of Reinforced Concrete (6 papers). Xin Shi is often cited by papers focused on Muscle activation and electromyography studies (8 papers), Seismic Performance and Analysis (7 papers) and Structural Behavior of Reinforced Concrete (6 papers). Xin Shi collaborates with scholars based in China, Singapore and United Kingdom. Xin Shi's co-authors include Lianglong Song, Chengxiang Li, Yan Zhou, Chenguo Yao, Weiren Shi, Qi Ding, Haosen Yang, Robert C. Qiu, Tong Guo and Dongxia Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Neurocomputing.

In The Last Decade

Xin Shi

46 papers receiving 434 citations

Peers

Xin Shi
Comparison fields: 5 of 93
  • Mechanical Engineering 92
  • Biomedical Engineering 72
  • Civil and Structural Engineering 64
  • Control and Systems Engineering 61
  • Computer Vision and Pattern Recognition 60
Replace Xinyu Du with:
Xinyu Du China
Hiroyuki Yaguchi Japan
Yaru Liu China
Hao Fang China
Héctor José Puga Soberanes Mexico
Yuexin Zhang China
Жипенг Ли China
Hamed Khodadadi Iran
Xinyu Du China View profile →
Citations per field, relative to Xin Shi
Xin Shi · 1×
Citations per year, relative to Xin Shi
Xin Shi · 1×

Countries citing papers authored by Xin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Shi. A scholar is included among the top collaborators of Xin 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 Xin Shi. Xin 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 3
3 13
4 22
5 10
6 19
7 12
8 19
9 2
10 3
11 1
12 1
13 0
14 3
15 2
16 2
17 3
18 2
19 0
20
Development of Intelligent Transportation System
4

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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