Weiqun Wang

85 total papers · 1.2k total citations
66 papers, 799 citations indexed

About

Weiqun Wang is a scholar working on Biomedical Engineering, Rehabilitation and Cognitive Neuroscience. According to data from OpenAlex, Weiqun Wang has authored 66 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Biomedical Engineering, 34 papers in Rehabilitation and 28 papers in Cognitive Neuroscience. Recurrent topics in Weiqun Wang's work include Muscle activation and electromyography studies (36 papers), Stroke Rehabilitation and Recovery (34 papers) and Prosthetics and Rehabilitation Robotics (26 papers). Weiqun Wang is often cited by papers focused on Muscle activation and electromyography studies (36 papers), Stroke Rehabilitation and Recovery (34 papers) and Prosthetics and Rehabilitation Robotics (26 papers). Weiqun Wang collaborates with scholars based in China, Macao and New Zealand. Weiqun Wang's co-authors include Zeng‐Guang Hou, Liang Peng, Jiaxing Wang, Badong Chen, Shiyuan Wang, Xu Liang, Yixiong Chen, Lina Tong, Long Cheng and Feng Zhang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Industrial Informatics.

In The Last Decade

Weiqun Wang

65 papers receiving 786 citations

Author Peers

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

Author						Papers	Cites
Weiqun Wang	413	254	227	131	91	66	799
Liang Peng	555 1.3×	329 1.3×	181 0.8×	83 0.6×	109 1.2×	83	1.0k
Federica Verdini	439 1.1×	192 0.8×	174 0.8×	48 0.4×	171 1.9×	79	943
Jianhua Wang	717 1.7×	208 0.8×	184 0.8×	40 0.3×	84 0.9×	111	1.0k
Xiujuan Zheng	257 0.6×	223 0.9×	130 0.6×	61 0.5×	105 1.2×	54	753
Deepak Joshi	514 1.2×	112 0.4×	103 0.5×	67 0.5×	64 0.7×	96	931
S. Parasuraman	321 0.8×	78 0.3×	162 0.7×	93 0.7×	211 2.3×	82	786
Claudio Loconsole	522 1.3×	306 1.2×	420 1.9×	43 0.3×	118 1.3×	45	1000
Domenico Buongiorno	295 0.7×	109 0.4×	171 0.8×	164 1.3×	316 3.5×	46	1.1k
Shingo Shimoda	494 1.2×	198 0.8×	354 1.6×	58 0.4×	150 1.6×	108	1.0k
Zhichuan Tang	415 1.0×	142 0.6×	437 1.9×	46 0.4×	87 1.0×	38	885

Countries citing papers authored by Weiqun Wang

Since Specialization

Citations

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

Fields of papers citing papers by Weiqun Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiqun Wang

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