Chang Wang

54 total papers · 669 total citations
38 papers, 470 citations indexed

About

Chang Wang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chang Wang has authored 38 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chang Wang's work include EEG and Brain-Computer Interfaces (7 papers), Functional Brain Connectivity Studies (7 papers) and Neural dynamics and brain function (6 papers). Chang Wang is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Functional Brain Connectivity Studies (7 papers) and Neural dynamics and brain function (6 papers). Chang Wang collaborates with scholars based in China, Malaysia and Spain. Chang Wang's co-authors include Zongya Zhao, Qiongqiong Ren, Yi Yu, Yongtao Xu, Junqiang Zhao, H. Kodama, Xu Wang, Zhaobing Cai, Yongchao Fang and Xiufang Cui and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Nuclear Physics B.

In The Last Decade

Chang Wang

32 papers receiving 455 citations

Author Peers

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

Author Last Decade Papers Cites
Chang Wang 143 136 87 71 55 38 470
Yi Yu 163 1.1× 170 1.3× 66 0.8× 85 1.2× 40 0.7× 38 510
Yibin Tian 59 0.4× 94 0.7× 30 0.3× 61 0.9× 51 0.9× 56 463
Fátima N. S. de Medeiros 202 1.4× 183 1.3× 19 0.2× 73 1.0× 33 0.6× 23 499
Aqilah Baseri Huddin 142 1.0× 61 0.4× 13 0.1× 22 0.3× 25 0.5× 35 539
D. Vijayalakshmi 161 1.1× 109 0.8× 23 0.3× 42 0.6× 62 1.1× 27 413
Danhua Liu 91 0.6× 33 0.2× 32 0.4× 10 0.1× 66 1.2× 52 500
Hyeon‐Cheol Park 41 0.3× 107 0.8× 10 0.1× 20 0.3× 35 0.6× 38 538
Aymen Mouelhi 131 0.9× 83 0.6× 32 0.4× 55 0.8× 23 0.4× 44 446
Yan Zhang 28 0.2× 138 1.0× 65 0.7× 83 1.2× 7 0.1× 62 492
Mingxin Yu 65 0.5× 27 0.2× 86 1.0× 15 0.2× 19 0.3× 55 506

Countries citing papers authored by Chang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Wang

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