Ye Wang

1.6k citations
82 papers · 1.1k · h-index 17

Impact in

Papers in

Ye Wang

73 papers receiving 1.1k citations

Peers

Ye Wang
Comparison fields: 5 of 104
  • Cognitive Neuroscience 324
  • Human-Computer Interaction 76
  • Signal Processing 123
  • Electrical and Electronic Engineering 449
  • Computer Vision and Pattern Recognition 148
Replace Ali Farzamnia with:
Ali Farzamnia Malaysia
Jun Zhou China
Tae‐Gyu Chang South Korea
Mohd Zuki Yusoff Malaysia
Kyoobin Lee South Korea
Sabira Khatun Malaysia
Zeming Fan China
Preeti Singh India
Florian Röhrbein Germany
Kiran George United States
Ye Wang relative to Ali Farzamnia Malaysia Ali Farzamnia's profile →
Citations per field
00.5×
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 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020101
2 202072
3 201670
4 202069
5 202166
6 201865
7 201655
8 202153
9 201949
10 202142
11 201931
12 201923
13 201923
14 201823
15 202019
16 201718
17 202217
18 202315
19 202215
20 202015

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 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Photonic and Optical Devices (14 papers), Optical Network Technologies (14 papers), Neural Networks and Reservoir Computing (13 papers), EEG and Brain-Computer Interfaces (13 papers), Advanced Photonic Communication Systems (7 papers), Error Correcting Code Techniques (7 papers), Indoor and Outdoor Localization Technologies (6 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Cognitive Neuroscience (324 citations), Human-Computer Interaction (76 citations), Signal Processing (123 citations), Electrical and Electronic Engineering (449 citations) and Computer Vision and Pattern Recognition (148 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, Philip V. Orlik, Tim K. Marks, Fernando Quivira, Devesh K. Jha and Mohammad H. Tahersima. Their work appears in journals such as IEEE Access, Journal of Lightwave Technology, Frontiers in Earth Science, Energy and Buildings and IEEE Signal Processing Letters.

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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