Lin Shi

621 total citations · 1 hit paper
17 papers, 435 citations indexed

About

Lin Shi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Lin Shi has authored 17 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Control and Systems Engineering. Recurrent topics in Lin Shi's work include Advanced Multi-Objective Optimization Algorithms (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolutionary Algorithms and Applications (3 papers). Lin Shi is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolutionary Algorithms and Applications (3 papers). Lin Shi collaborates with scholars based in China, South Korea and Taiwan. Lin Shi's co-authors include Zhi‐Hui Zhan, Jun Zhang, Kay Chen Tan, Di Liang, Hui Yan, Dan Xu, Hecheng Meng, L. Li, Jidong Lv and Zhenjie Hou and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Artificial Intelligence Review.

In The Last Decade

Lin Shi

13 papers receiving 427 citations

Hit Papers

A survey on evolutionary computation for complex continuo... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers

Lin Shi
Comparison fields: 5 of 80
  • Artificial Intelligence 230
  • Computational Theory and Mathematics 143
  • Industrial and Manufacturing Engineering 51
  • Computer Vision and Pattern Recognition 50
  • Electrical and Electronic Engineering 38
Replace Lingyun Deng with:
Lingyun Deng China
Esther Villar-Rodríguez Spain
Junbo Jacob Lian China
Elif Varol Altay Türkiye
Kyle Robert Harrison Canada
Abdul Halim Malaysia
Binping Zhao China
Jiayu Liang China
Lingyun Deng China View profile →
Citations per field, relative to Lin Shi
Lin Shi · 1×
Citations per year, relative to Lin Shi
Lin Shi · 1×

Countries citing papers authored by Lin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Lin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Shi. A scholar is included among the top collaborators of Lin 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 Lin Shi. Lin Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 2
5 0
6 21
7 1
8 3
9 45
10 22
11 31
12 4
13
A survey on evolutionary computation for complex continuous optimization breakdown →
271
14 2
15 2
16 1
17 30

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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