Ruofan Wang

1.4k citations
69 papers · 976 · h-index 16

Impact in

    • EEG and Brain-Computer Interfaces
    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
  • Neurology top 10%
    • Brain Tumor Detection and Classification

Papers in

    • EEG and Brain-Computer Interfaces 19
    • Neural dynamics and brain function 17
    • Functional Brain Connectivity Studies 16
    • Medical Image Segmentation Techniques 10
    • Image Retrieval and Classification Techniques 5
    • Advanced Image and Video Retrieval Techniques 4

Ruofan Wang

57 papers receiving 966 citations

Peers

Ruofan Wang
Comparison fields: 5 of 126
  • Cognitive Neuroscience 451
  • Neurology 66
  • Computer Vision and Pattern Recognition 148
  • Pharmaceutical Science 39
  • Signal Processing 55
Replace Hao Tang with:
Hao Tang China
Mei Wang China
Humaira Nisar Malaysia
Fei He United Kingdom
Xinyang Liu China
Bernd Köhler Germany
Qi Xu China
Matteo Fraschini Italy
Bilal Fadlallah United States
Mohammad-Parsa Hosseini United States
Ruofan Wang relative to Hao Tang China Hao Tang's profile →
Citations per field
00.5×7.8×
Hao Tang · 1×
Citations per year

Countries citing papers authored by Ruofan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruofan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ruofan 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 Ruofan Wang Line = papers co-authored together Ruofan Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014149
2 202177
3 201468
4 202058
5 201552
6 202046
7 201646
8 201843
9 201543
10 201736
11 201835
12 202025
13 202225
14 202024
15 202322
16 202022
17 202115
18 202314
19 202313
20 202013

About Ruofan Wang

Ruofan Wang is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Signal Processing, having authored 69 papers that have together received 976 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (19 papers), Neural dynamics and brain function (17 papers), Functional Brain Connectivity Studies (16 papers), Medical Image Segmentation Techniques (10 papers), Blind Source Separation Techniques (5 papers), AI in cancer detection (5 papers), Image Retrieval and Classification Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Cognitive Neuroscience (451 citations), Neurology (66 citations), Computer Vision and Pattern Recognition (148 citations), Pharmaceutical Science (39 citations) and Signal Processing (55 citations). Ruofan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiang Wang, Haitao Yu, Bin Deng, Xile Wei, Yunyun Yang, Lihui Cai, Chen Yang, Zhenxi Song, Yibin Cao and Song Gao. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physica A Statistical Mechanics and its Applications, Frontiers in Neuroscience, Applied Mathematical Modelling and Pattern Recognition.

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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