Xiaying Wang

1.0k citations
29 papers · 455 · h-index 10

Impact in

Papers in

Xiaying Wang

24 papers receiving 436 citations

Peers

Xiaying Wang
Comparison fields: 5 of 61
  • Cognitive Neuroscience 287
  • Human-Computer Interaction 57
  • Cellular and Molecular Neuroscience 100
  • Signal Processing 54
  • Electrical and Electronic Engineering 161
Replace Michael Hersche with:
Michael Hersche Switzerland
Mostafa-Sami M. Mostafa Egypt
Kais Belwafi Saudi Arabia
Mariusz Pelc United Kingdom
Guanghai Dai China
Temel Kayıkçıoğlu Türkiye
Jiahui Huang China
Young-Eun Lee South Korea
Chih-Sheng Huang Taiwan
Nicholas R. Waytowich United States
Xiaying Wang relative to Michael Hersche Switzerland Michael Hersche's profile →
Citations per field
00.5×
Michael Hersche · 1×
Citations per year

Countries citing papers authored by Xiaying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020181
2 2020101
3 202126
4 202425
5 202418
6 202418
7 202213
8 201811
9 202211
10 202310
11 20236
12 20245
13 20215
14 20184
15 20214
16 20053
17 20233
18 20242
19 20182
20 20182

About Xiaying Wang

Xiaying Wang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 455 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Neuroscience and Neural Engineering (11 papers), Advanced Memory and Neural Computing (9 papers), Neural dynamics and brain function (5 papers), Epilepsy research and treatment (3 papers), Functional Brain Connectivity Studies (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (287 citations), Human-Computer Interaction (57 citations), Cellular and Molecular Neuroscience (100 citations), Signal Processing (54 citations) and Electrical and Electronic Engineering (161 citations). Xiaying Wang has collaborated with scholars based in Switzerland, Italy and Denmark. Frequent co-authors include Luca Benini, Lukas Cavigelli, Thorir Mar Ingolfsson, Michael Hersche, Michele Magno, Nobuaki Kobayashi, Andrea Cossettini, Philippe Ryvlin, Simone Benatti and Sándor Beniczky. Their work appears in journals such as Scientific Reports, IEEE Transactions on Biomedical Circuits and Systems, Epilepsia, Remote Sensing and IEEE Internet of Things Journal.

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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