Ye Wang

11.0k citations
544 papers · 6.7k · h-index 38

Impact in

Papers in

Ye Wang

497 papers receiving 6.3k citations

Peers

Ye Wang
Comparison fields: 5 of 209
  • Signal Processing 1.4k
  • Computer Vision and Pattern Recognition 1.3k
  • Developmental and Educational Psychology 573
  • Artificial Intelligence 1.0k
  • Computer Networks and Communications 721
Replace Dian Tjondronegoro with:
Dian Tjondronegoro Australia
Abdulmotaleb El Saddik Canada
Begonya García-Zapirain Spain
Panagiotis D. Bamidis Greece
Leontios J. Hadjileontiadis Greece
Aamir Saeed Malik Malaysia
Fred Cummins Ireland
Philip Kortum United States
Louis–Philippe Morency United States
Jiming Liu Hong Kong
Ye Wang relative to Dian Tjondronegoro Australia Dian Tjondronegoro's profile →
Citations per field
00.5×6.6×
Dian Tjondronegoro · 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 544 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014238
2 2012141
3 2008110
4 2015109
5 200592
6
Reading and Deafness: Theory, Research, and Practice
200989
7 201287
8 201586
9 201480
10 201078
11 201277
12 200470
13 201567
14 201365
15 200862
16 201561
17 201058
18 201456
19 202055
20 201853

About Ye Wang

Ye Wang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 544 papers that have together received 6.7k indexed citations. Recurring topics across this work include Music and Audio Processing (92 papers), Speech and Audio Processing (59 papers), Music Technology and Sound Studies (49 papers), Speech Recognition and Synthesis (24 papers), Hearing Impairment and Communication (22 papers), Neuroscience and Music Perception (19 papers), Video Coding and Compression Technologies (14 papers) and Natural Language Processing Techniques (14 papers). The work is most often cited by research in Signal Processing (1.4k citations), Computer Vision and Pattern Recognition (1.3k citations), Developmental and Educational Psychology (573 citations), Artificial Intelligence (1.0k citations) and Computer Networks and Communications (721 citations). Ye Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Wang Xin-xi, Peter V. Paul, Jari Korhonen, Beverly J. Trezek, David S. Rosenblum, Yang Richard Yang, Yu Ko, Tin Lay Nwe, Haizhou Li and Margarita Alegrı́a. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Frontiers in Psychiatry, IEEE Transactions on Multimedia, Journal of the Audio Engineering Society and PLoS ONE.

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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