Ze Wang

1.6k citations
45 papers · 936 · h-index 15

Impact in

Papers in

Ze Wang

43 papers receiving 923 citations

Peers

Ze Wang
Comparison fields: 5 of 107
  • Cognitive Neuroscience 492
  • Signal Processing 155
  • Cellular and Molecular Neuroscience 204
  • Human-Computer Interaction 57
  • Neurology 70
Replace Catherine M. Sweeney‐Reed with:
Catherine M. Sweeney‐Reed Germany
Beth Jelfs United Kingdom
Bogdan Mijović Belgium
Yiwen Wang China
Dong Ming China
Aleksandra Kawala‐Sterniuk Poland
Hartmut Dickhaus Germany
Kun Chen China
Yadong Liu China
Mei Wang China
Ze Wang relative to Catherine M. Sweeney‐Reed Germany Catherine M. Sweeney‐Reed's profile →
Citations per field
00.5×1.5×1.8×
Catherine M. Sweeney‐Reed · 1×
Citations per year

Countries citing papers authored by Ze Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ze Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020111
2 2019102
3 202098
4 201681
5 202063
6 201962
7 202346
8 202143
9 202132
10 202227
11 201926
12 202422
13 200822
14 202020
15 201420
16 202114
17 202313
18 202213
19 201912
20 200311

About Ze Wang

Ze Wang is a scholar working on Cognitive Neuroscience, Signal Processing, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 45 papers that have together received 936 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (19 papers), Blind Source Separation Techniques (8 papers), Functional Brain Connectivity Studies (5 papers), Neural dynamics and brain function (4 papers), Image and Signal Denoising Methods (3 papers), ECG Monitoring and Analysis (3 papers), Advanced Memory and Neural Computing (2 papers) and Machine Fault Diagnosis Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (492 citations), Signal Processing (155 citations), Cellular and Molecular Neuroscience (204 citations), Human-Computer Interaction (57 citations) and Neurology (70 citations). Ze Wang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Feng Wan, Chi Man Wong, Agostinho Rosa, Boyu Wang, Tzyy‐Ping Jung, Liming Zhang, C. L. Philip Chen, Peng Un Mak, Mang I Vai and Weixi Feng. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Affective Computing, IEEE Transactions on Biomedical Engineering, Journal of Neural Engineering and IEEE Access.

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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