Qingcong Wu

59 total papers · 1.2k total citations
48 papers, 854 citations indexed

About

Qingcong Wu is a scholar working on Biomedical Engineering, Rehabilitation and Control and Systems Engineering. According to data from OpenAlex, Qingcong Wu has authored 48 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Biomedical Engineering, 29 papers in Rehabilitation and 5 papers in Control and Systems Engineering. Recurrent topics in Qingcong Wu's work include Prosthetics and Rehabilitation Robotics (38 papers), Muscle activation and electromyography studies (35 papers) and Stroke Rehabilitation and Recovery (29 papers). Qingcong Wu is often cited by papers focused on Prosthetics and Rehabilitation Robotics (38 papers), Muscle activation and electromyography studies (35 papers) and Stroke Rehabilitation and Recovery (29 papers). Qingcong Wu collaborates with scholars based in China and United States. Qingcong Wu's co-authors include Hongtao Wu, Bai Chen, Xingsong Wang, Bai Chen, Ying Chen, Ying Chen, Xi Chen, Qi Zhang, Mingxing Yang and Zhiyong Zhu and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Sensors.

In The Last Decade

Qingcong Wu

43 papers receiving 839 citations

Author Peers

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

Author						Papers	Cites
Qingcong Wu	722	440	160	103	84	48	854
Nevio Luigi Tagliamonte	784 1.1×	303 0.7×	175 1.1×	92 0.9×	55 0.7×	54	894
Ying Mao	566 0.8×	377 0.9×	195 1.2×	65 0.6×	58 0.7×	26	760
Hyunki In	742 1.0×	353 0.8×	218 1.4×	126 1.2×	121 1.4×	24	838
Michael R. Tucker	794 1.1×	280 0.6×	69 0.4×	75 0.7×	131 1.6×	22	987
Jianfeng Li	629 0.9×	344 0.8×	221 1.4×	59 0.6×	50 0.6×	99	918
Weiguang Huo	703 1.0×	361 0.8×	81 0.5×	41 0.4×	55 0.7×	34	858
Gabriel Aguirre-Ollinger	673 0.9×	426 1.0×	79 0.5×	112 1.1×	40 0.5×	21	845
Iñaki Díaz	404 0.6×	272 0.6×	86 0.5×	148 1.4×	101 1.2×	34	726
Katie Meadmore	371 0.5×	333 0.8×	228 1.4×	111 1.1×	194 2.3×	40	766
Youngbo Shim	840 1.2×	344 0.8×	161 1.0×	72 0.7×	33 0.4×	36	999

Countries citing papers authored by Qingcong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Qingcong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingcong Wu

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