Chi Zhu

139 total papers · 945 total citations
82 papers, 718 citations indexed

About

Chi Zhu is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Chi Zhu has authored 82 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Biomedical Engineering, 23 papers in Cognitive Neuroscience and 22 papers in Control and Systems Engineering. Recurrent topics in Chi Zhu's work include Prosthetics and Rehabilitation Robotics (25 papers), Muscle activation and electromyography studies (25 papers) and EEG and Brain-Computer Interfaces (23 papers). Chi Zhu is often cited by papers focused on Prosthetics and Rehabilitation Robotics (25 papers), Muscle activation and electromyography studies (25 papers) and EEG and Brain-Computer Interfaces (23 papers). Chi Zhu collaborates with scholars based in Japan, China and Singapore. Chi Zhu's co-authors include Atsuo Kawamura, Feng Duan, Haoyong Yu, Wennan Chang, Zengqiang Chen, Wei Li, Yuling Yan, Tamio Arai, Hiroshi Yokoi and Xiang Luo and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and IEEE Transactions on Industrial Electronics.

In The Last Decade

Chi Zhu

74 papers receiving 684 citations

Author Peers

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

Author						Papers	Cites
Chi Zhu	529	180	154	105	93	82	718
Frank L. Hammond	663 1.3×	179 1.0×	169 1.1×	83 0.8×	78 0.8×	64	846
Sergio Savino	510 1.0×	195 1.1×	196 1.3×	42 0.4×	55 0.6×	58	820
Yukinori Kakazu	357 0.7×	185 1.0×	145 0.9×	62 0.6×	67 0.7×	123	754
Vincenzo Niola	422 0.8×	181 1.0×	118 0.8×	26 0.2×	44 0.5×	74	764
S. Parasuraman	321 0.6×	162 0.9×	118 0.8×	78 0.7×	45 0.5×	82	786
Vincenzo Parenti Castelli	462 0.9×	120 0.7×	129 0.8×	151 1.4×	39 0.4×	48	630
Joga Dharma Setiawan	188 0.4×	104 0.6×	220 1.4×	37 0.4×	61 0.7×	92	720
Reza Tafreshi	239 0.5×	103 0.6×	194 1.3×	101 1.0×	33 0.4×	52	636
Xu Liang	342 0.6×	92 0.5×	184 1.2×	46 0.4×	23 0.2×	57	622
Satoshi Ueki	338 0.6×	83 0.5×	226 1.5×	174 1.7×	33 0.4×	74	789

Countries citing papers authored by Chi Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Chi Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi Zhu

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