Yueming Wang

2.2k citations
99 papers · 1.4k indexed · h-index 19

Impact in

Papers in

Yueming Wang

89 papers receiving 1.3k citations

Peers

Yueming Wang
Comparison fields: 5 of 125
  • Cognitive Neuroscience 486
  • Computer Vision and Pattern Recognition 451
  • Signal Processing 231
  • Human-Computer Interaction 88
  • Computational Mathematics 7
Replace Jun Zhou with:
Jun Zhou China
Hong Zeng China
Vojkan Mihajlović Netherlands
Bashir I. Morshed United States
Amit M. Joshi India
Jianhai Zhang China
Simone Benatti Italy
Bogdan Raducanu Spain
Cosimo Ieracitano Italy
Yueming Wang relative to Jun Zhou China Jun Zhou's profile →
Citations per field
00.5×10.7×
Jun Zhou · 1×
Citations per year

Countries citing papers authored by Yueming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yueming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yueming Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yueming Wang Line = papers co-authored together Yueming Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019182
2 2010123
3 200985
4 201084
5 202359
6 201457
7 202050
8 201842
9 201941
10 201240
11 201535
12 202124
13 201924
14 201524
15 202323
16 200722
17 201820
18 202119
19 201318
20 201418

About Yueming Wang

Yueming Wang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Signal Processing, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 99 papers that have together received 1.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (49 papers), Neuroscience and Neural Engineering (25 papers), Advanced Memory and Neural Computing (22 papers), Neural dynamics and brain function (19 papers), Blind Source Separation Techniques (10 papers), Face and Expression Recognition (8 papers), Face recognition and analysis (8 papers) and Functional Brain Connectivity Studies (7 papers). The work is most often cited by research in Cognitive Neuroscience (486 citations), Computer Vision and Pattern Recognition (451 citations), Signal Processing (231 citations), Human-Computer Interaction (88 citations) and Computational Mathematics (7 citations). Yueming Wang has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Gang Pan, Jianzhuang Liu, Zhaohui Wu, Yu Qi, Xiaoxiang Zheng, Xiaoou Tang, Lin Yao, Qinye Bao, Junfeng Fang and Wenxiao Zhang. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Cognitive and Developmental Systems, Journal of Neural Engineering and Neurocomputing.

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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