Jingsen Liu

813 citations
31 papers · 581 indexed · h-index 13
Topics
Metaheuristic Optimization Algorithms Research (23 papers)Advanced Multi-Objective Optimization Algorithms (12 papers)Robotic Path Planning Algorithms (6 papers)

In The Last Decade

Jingsen Liu

29 papers receiving 564 citations

Peers

Jingsen Liu
Comparison fields: 5 of 85
  • Artificial Intelligence 300
  • Computational Theory and Mathematics 137
  • Electrical and Electronic Engineering 89
  • Computer Networks and Communications 76
  • Computer Vision and Pattern Recognition 70
Replace Guangrui Hu with:
Guangrui Hu China
Saeid Barshandeh Iran
Olympia Roeva Bulgaria
Saroj Kumar Sahoo India
Sedigheh Mahdavi Canada
Jurij Šilc Slovenia
Miguel Cienfuegos Germany
Javad Hamidzadeh Iran
Jianyong Sun United Kingdom
Mohammed R. Saad Egypt
Jingsen Liu relative to Guangrui Hu China Guangrui Hu's profile →
Citations per field
00.5×4.2×
Guangrui Hu · 1×
Citations per year

Countries citing papers authored by Jingsen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jingsen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingsen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingsen Liu. A scholar is included among the top collaborators of Jingsen Liu 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 Jingsen Liu. Jingsen Liu 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
#WorkIndexed citations
1 1
2 1
3 0
4 7
5 9
6 5
7 2
8 3
9 7
10 2
11 19
12 11
13 94
14 56
15 9
16 4
17 50
18 43
19
Mechanism and Improvement of Direct Anonymous Attestation Scheme
4
20 45

About Jingsen Liu

Jingsen Liu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Numerical Analysis, having authored 31 papers that have together received 581 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (23 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Robotic Path Planning Algorithms (6 papers). The work is most often cited by research in Artificial Intelligence (300 citations), Computational Theory and Mathematics (137 citations) and Biochemistry (29 citations). Jingsen Liu has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Yu Li, Yiran Zhao, Xiangjun Wu, Guanrong Chen, Xiaozhen Liu, Ximing Ruan, Yu Li, Jiana Li, Bo Yang and Liyuan Zhang. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

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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