Chao Bian

444 citations
22 papers · 184 indexed · h-index 9
Topics
Advanced Multi-Objective Optimization Algorithms (15 papers)Metaheuristic Optimization Algorithms Research (13 papers)Evolutionary Algorithms and Applications (12 papers)

In The Last Decade

Chao Bian

21 papers receiving 182 citations

Peers

Chao Bian
Comparison fields: 5 of 47
  • Artificial Intelligence 141
  • Computational Theory and Mathematics 108
  • Computer Networks and Communications 12
  • Computer Vision and Pattern Recognition 12
  • Control and Systems Engineering 10
Replace Verena Heidrich-Meisner with:
Verena Heidrich-Meisner Germany
Tran Viet Xuan Phuong Australia
Ileana Ober France
Nicholas Holden United Kingdom
Ashutosh Trivedi United States
Victor Vu United States
Deevashwer Rathee India
Dariusz Dereniowski Poland
Yancheng Yuan Hong Kong
Christel Vrain France
Chao Bian relative to Verena Heidrich-Meisner Germany Verena Heidrich-Meisner's profile →
Citations per field
00.5×3.3×
Verena Heidrich-Meisner · 1×
Citations per year

Countries citing papers authored by Chao Bian

Since Specialization
Citations

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

Fields of papers citing papers by Chao Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Bian. A scholar is included among the top collaborators of Chao Bian 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 Chao Bian. Chao Bian 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 1
3 2
4 2
5 2
6 22
7 12
8 5
9 10
10 2
11 3
12 11
13 22
14 17
15 7
16 17
17 24
18 9
19
Information Hiding Algorithm Based on N dimensions Arnold and DCT Transform
0
20 3

About Chao Bian

Chao Bian is a scholar working on Computational Theory and Mathematics, Health Informatics and Artificial Intelligence, having authored 22 papers that have together received 184 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (15 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Evolutionary Algorithms and Applications (12 papers). The work is most often cited by research in Computational Theory and Mathematics (108 citations), Artificial Intelligence (141 citations) and Computer Science Applications (6 citations). Chao Bian has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Chao Qian, Ke Tang, Yang Yu, Miqing Li, Chao Feng, Shuangzhi Wu, Weilong Dong, Deyi Xiong, Minghui Xu and Xin Yao. Their work appears in journals such as Artificial Intelligence, IEEE Transactions on Evolutionary Computation and Applied 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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