Will Ke Wang

403 total citations
14 papers, 156 citations indexed

About

Will Ke Wang is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Signal Processing. According to data from OpenAlex, Will Ke Wang has authored 14 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Biomedical Engineering and 4 papers in Signal Processing. Recurrent topics in Will Ke Wang's work include Time Series Analysis and Forecasting (3 papers), EEG and Brain-Computer Interfaces (2 papers) and Tactile and Sensory Interactions (2 papers). Will Ke Wang is often cited by papers focused on Time Series Analysis and Forecasting (3 papers), EEG and Brain-Computer Interfaces (2 papers) and Tactile and Sensory Interactions (2 papers). Will Ke Wang collaborates with scholars based in United States, China and Australia. Will Ke Wang's co-authors include Jessilyn Dunn, Michael Marschollek, Stephen J. Redmond, Michael Schukat, Robert Avram, Brinnae Bent, Jeffrey E. Olgin, G. Schreier, Nigel H. Lovell and Md Mobashir Hasan Shandhi and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Sensors and Journal of Medical Internet Research.

In The Last Decade

Will Ke Wang

12 papers receiving 148 citations

Peers

Will Ke Wang
Comparison fields: 5 of 93
  • Biomedical Engineering 34
  • Signal Processing 26
  • Cognitive Neuroscience 23
  • Artificial Intelligence 22
  • General Health Professions 17
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Amit Mehta United Kingdom
Justyna Skibińska Czechia
Benjamin Girault United States
Shiva Maleki Varnosfaderani United States
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Imran Hossain Bangladesh
Adham Beykikhoshk Australia
Ritu Gautam India
Uzair Shah Qatar
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Amit Mehta United Kingdom View profile →
Citations per field, relative to Will Ke Wang
Will Ke Wang · 1×
Citations per year, relative to Will Ke Wang
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Countries citing papers authored by Will Ke Wang

Since Specialization
Citations

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

Fields of papers citing papers by Will Ke Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Will Ke Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Will Ke Wang. A scholar is included among the top collaborators of Will Ke 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 Will Ke Wang. Will Ke Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 1
5 0
6 4
7 3
8 23
9 5
10 8
11 8
12 21
13 39
14 41

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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2026