Xiangyang Wang

176 total papers · 2.5k total citations
97 papers, 1.9k citations indexed

About

Xiangyang Wang is a scholar working on Mechanical Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiangyang Wang has authored 97 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanical Engineering, 21 papers in Biomedical Engineering and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiangyang Wang's work include Muscle activation and electromyography studies (10 papers), Prosthetics and Rehabilitation Robotics (10 papers) and Innovation and Knowledge Management (9 papers). Xiangyang Wang is often cited by papers focused on Muscle activation and electromyography studies (10 papers), Prosthetics and Rehabilitation Robotics (10 papers) and Innovation and Knowledge Management (9 papers). Xiangyang Wang collaborates with scholars based in China, Denmark and United States. Xiangyang Wang's co-authors include Panpan Niu, Tian‐Sheng Mei, Ping Fang, Qi‐Liang Yang, Juan Bu, Ting Wang, Yanqiu Lü, Hongying Yang, Sheng Guo and Chunpeng Wang and has published in prestigious journals such as Journal of the American Chemical Society, IEEE Transactions on Industrial Electronics and International Journal of Heat and Mass Transfer.

In The Last Decade

Xiangyang Wang

88 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Xiangyang Wang 388 308 290 280 226 97 1.9k
Shaojun Wang 208 0.5× 387 1.3× 173 0.6× 242 0.9× 19 0.1× 173 2.8k
Jethro Akroyd 63 0.2× 180 0.6× 198 0.7× 467 1.7× 137 0.6× 127 3.0k
Bin Chen 411 1.1× 400 1.3× 88 0.3× 1.1k 3.9× 60 0.3× 118 2.6k
Shuqin Wang 526 1.4× 124 0.4× 110 0.4× 331 1.2× 108 0.5× 105 2.3k
Wenhui Zhou 510 1.3× 107 0.3× 81 0.3× 127 0.5× 42 0.2× 240 3.1k
Kai Leung Yung 200 0.5× 234 0.8× 39 0.1× 428 1.5× 34 0.2× 206 2.6k
Xiaotong Zhang 324 0.8× 182 0.6× 55 0.2× 774 2.8× 106 0.5× 202 2.8k
Yiyang Chen 464 1.2× 529 1.7× 70 0.2× 277 1.0× 63 0.3× 171 2.6k
Qin Wang 259 0.7× 169 0.5× 38 0.1× 202 0.7× 89 0.4× 232 3.2k
Ximeng Wang 80 0.2× 135 0.4× 151 0.5× 116 0.4× 152 0.7× 102 2.0k

Countries citing papers authored by Xiangyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiangyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangyang Wang

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