Xingjuan Cai

6.2k citations
130 papers · 4.8k indexed · 4 hit papers · h-index 32
Topics
Metaheuristic Optimization Algorithms Research (51 papers)Advanced Multi-Objective Optimization Algorithms (41 papers)Evolutionary Algorithms and Applications (24 papers)
Partner nations
ChinaAustraliaDenmark

In The Last Decade

Xingjuan Cai

121 papers receiving 4.6k citations

Hit Papers

Detection of Malicious Code Variants Based on Deep Learning20182026202020232018202020202019100200300400

Peers

Xingjuan Cai
Comparison fields: 5 of 144
  • Artificial Intelligence 2.0k
  • Computer Networks and Communications 1.4k
  • Information Systems 1.3k
  • Computational Theory and Mathematics 749
  • Computer Vision and Pattern Recognition 682
Replace Zhihua Cui with:
Zhihua Cui China
Farhad Soleimanian Gharehchopogh Iran
Nebojša Bačanin Serbia
Vincenzo Piuri Italy
Zhongzhi Shi China
Tharam S. Dillon Australia
Honghao Gao China
Renfa Li China
Xue Liu Canada
Chengzhong Xu China
Xingjuan Cai relative to Zhihua Cui China Zhihua Cui's profile →
Citations per field
00.5×1.5×
Zhihua Cui · 1×
Citations per year

Countries citing papers authored by Xingjuan Cai

Since Specialization
Citations

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

Fields of papers citing papers by Xingjuan Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingjuan Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Xingjuan Cai. A scholar is included among the top collaborators of Xingjuan Cai 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 Xingjuan Cai. Xingjuan Cai 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 2
2 6
3 9
4 1
5 3
6 0
7 21
8 4
9 20
10 14
11 0
12 6
13 1
14 113
15 40
16 184
17 153
18 32
19 30
20 111

About Xingjuan Cai

Xingjuan Cai is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Software, having authored 130 papers that have together received 4.8k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (51 papers), Advanced Multi-Objective Optimization Algorithms (41 papers) and Evolutionary Algorithms and Applications (24 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Computer Networks and Communications (1.4k citations) and Information Systems (1.3k citations). Xingjuan Cai has collaborated with scholars based in China, Australia and Denmark. Frequent co-authors include Zhihua Cui, Jinjun Chen, Yang Cao, Wensheng Zhang, Fei Xue, Jiangjiang Zhang, Wensheng Zhang, Gai‐Ge Wang, Shaojin Geng and Penghong Wang. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

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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