Ye Wang

1.5k citations
78 papers · 992 · h-index 16

Impact in

Papers in

Ye Wang

72 papers receiving 971 citations

Peers

Ye Wang
Comparison fields: 5 of 101
  • Cognitive Neuroscience 301
  • Human-Computer Interaction 75
  • Signal Processing 116
  • Electrical and Electronic Engineering 431
  • Computer Vision and Pattern Recognition 131
Replace Ali Farzamnia with:
Ali Farzamnia Malaysia
Jun Zhou China
Zeming Fan China
Preeti Singh India
Amir Rastegarnia Iran
Kyoobin Lee South Korea
Muhammad Ibn Ibrahimy Malaysia
Qiang Gao China
Mohd Zuki Yusoff Malaysia
Chih-Sheng Huang Taiwan
Ye Wang relative to Ali Farzamnia Malaysia Ali Farzamnia's profile →
Citations per field
00.5×4.7×
Ali Farzamnia · 1×
Citations per year

Countries citing papers authored by Ye Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ye Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202087
2 202068
3 201665
4 201864
5 202061
6 202156
7 201648
8 202147
9 201946
10 202137
11 201926
12 201923
13 201922
14 201822
15 202019
16 201718
17 202315
18 202215
19 202015
20 201714

About Ye Wang

Ye Wang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Cognitive Neuroscience, Computer Networks and Communications and Control and Systems Engineering, having authored 78 papers that have together received 992 indexed citations. Recurring topics across this work include Optical Network Technologies (13 papers), EEG and Brain-Computer Interfaces (12 papers), Photonic and Optical Devices (12 papers), Neural Networks and Reservoir Computing (11 papers), Error Correcting Code Techniques (7 papers), Advanced Photonic Communication Systems (7 papers), Indoor and Outdoor Localization Technologies (6 papers) and Photonic Crystals and Applications (5 papers). The work is most often cited by research in Cognitive Neuroscience (301 citations), Human-Computer Interaction (75 citations), Signal Processing (116 citations), Electrical and Electronic Engineering (431 citations) and Computer Vision and Pattern Recognition (131 citations). Ye Wang has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Toshiaki Koike‐Akino, Deniz Erdoğmuş, Ozan Özdenizci, Kieran Parsons, Keisuke Kojima, Tim K. Marks, Philip V. Orlik, Fernando Quivira, Pu Wang and Devesh K. Jha. Their work appears in journals such as Journal of Lightwave Technology, IEEE Access, IEEE Journal of Selected Topics in Signal Processing, Frontiers in Earth Science and IEEE Journal of Biomedical and Health Informatics.

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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