Chao Bai

37 total papers · 507 total citations
27 papers, 380 citations indexed

About

Chao Bai is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Chao Bai has authored 27 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistical and Nonlinear Physics, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Computer Networks and Communications. Recurrent topics in Chao Bai's work include Chaos control and synchronization (18 papers), Chaos-based Image/Signal Encryption (11 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). Chao Bai is often cited by papers focused on Chaos control and synchronization (18 papers), Chaos-based Image/Signal Encryption (11 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). Chao Bai collaborates with scholars based in China, United Kingdom and Hungary. Chao Bai's co-authors include Hai‐Peng Ren, Celso Grebogi, Murilo S. Baptista, Kun Tian, G. Kolumbán, Jian Liu, Xiaohui Zhao, Jie Li, Huan Pei and Tian He and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Communications.

In The Last Decade

Chao Bai

26 papers receiving 362 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chao Bai 252 132 130 104 55 27 380
Gustavo Rodríguez‐Gómez 210 0.8× 104 0.8× 111 0.9× 43 0.4× 53 1.0× 35 373
Fadhil Rahma Tahir 304 1.2× 86 0.7× 167 1.3× 88 0.8× 50 0.9× 45 429
Rui Li 103 0.4× 197 1.5× 68 0.5× 79 0.8× 111 2.0× 29 446
Behrouz Vaseghi 217 0.9× 166 1.3× 155 1.2× 39 0.4× 67 1.2× 16 436
Jun Zheng 130 0.5× 209 1.6× 50 0.4× 39 0.4× 116 2.1× 40 387
Xianming Wu 288 1.1× 156 1.2× 132 1.0× 112 1.1× 77 1.4× 38 410
Mustapha Benssalah 53 0.2× 132 1.0× 115 0.9× 49 0.5× 83 1.5× 41 337
Karim Kemih 294 1.2× 144 1.1× 183 1.4× 92 0.9× 40 0.7× 45 438
Ahmet Turan Özcerit 138 0.5× 228 1.7× 108 0.8× 49 0.5× 88 1.6× 24 409
Jianeng Tang 102 0.4× 262 2.0× 41 0.3× 32 0.3× 137 2.5× 42 427

Countries citing papers authored by Chao Bai

Since Specialization
Citations

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

Fields of papers citing papers by Chao Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Bai

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

All Works

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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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