Chao Yu

150 total papers · 2.3k total citations
83 papers, 1.4k citations indexed

About

Chao Yu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Chao Yu has authored 83 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 13 papers in Control and Systems Engineering. Recurrent topics in Chao Yu's work include Reinforcement Learning in Robotics (15 papers), Evolutionary Game Theory and Cooperation (10 papers) and Risk and Safety Analysis (8 papers). Chao Yu is often cited by papers focused on Reinforcement Learning in Robotics (15 papers), Evolutionary Game Theory and Cooperation (10 papers) and Risk and Safety Analysis (8 papers). Chao Yu collaborates with scholars based in China, Australia and Hong Kong. Chao Yu's co-authors include Jiming Liu, Shamim Nemati, Guosheng Yin, Minjie Zhang, Fenghui Ren, Guozhen Tan, Bingcai Chen, Guangyi Ma, Dongjiang Wu and Fangyong Niu and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and IEEE Access.

In The Last Decade

Chao Yu

78 papers receiving 1.4k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Chao Yu	450	239	230	206	157	83	1.4k
Zhipeng Wang	267 0.6×	157 0.7×	211 0.9×	203 1.0×	158 1.0×	123	1.3k
Lujia Wang	240 0.5×	258 1.1×	209 0.9×	145 0.7×	416 2.6×	82	1.5k
Adrian A. Hopgood	475 1.1×	118 0.5×	124 0.5×	239 1.2×	148 0.9×	85	1.4k
Qianlong Wang	528 1.2×	337 1.4×	157 0.7×	164 0.8×	620 3.9×	96	1.8k
Tao You	150 0.3×	155 0.6×	124 0.5×	251 1.2×	86 0.5×	67	1.1k
Hui Tian	250 0.6×	353 1.5×	110 0.5×	88 0.4×	370 2.4×	163	1.2k
Julius Pfrommer	237 0.5×	197 0.8×	185 0.8×	127 0.6×	118 0.8×	45	1.5k
Ivan Izonin	402 0.9×	164 0.7×	149 0.6×	61 0.3×	166 1.1×	116	1.3k
Chen-Yang Cheng	155 0.3×	153 0.6×	158 0.7×	73 0.4×	126 0.8×	104	1.8k
Quan Qian	573 1.3×	380 1.6×	113 0.5×	147 0.7×	126 0.8×	101	1.6k

Countries citing papers authored by Chao Yu

Since Specialization

Citations

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

Fields of papers citing papers by Chao Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Yu. A scholar is included among the top collaborators of Chao Yu 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 Yu. Chao Yu 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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