Ye Wang

11.3k citations
572 papers · 7.4k · 1 hit paper · h-index 41

Impact in

Papers in

Ye Wang

519 papers receiving 7.0k citations

Ye Wang's Hit Papers

Improving Content-based and Hybrid Music Recommendation using Deep Learning 2014 · 274 citations
2740+4+8Years since publication50100150200250

Peers

Ye Wang
Comparison fields: 5 of 210
  • Signal Processing 1.5k
  • Computer Vision and Pattern Recognition 1.5k
  • Developmental and Educational Psychology 660
  • Cognitive Neuroscience 635
  • Artificial Intelligence 1.1k
Replace Begonya García-Zapirain with:
Begonya García-Zapirain Spain
Stephen Intille United States
Abdulmotaleb El Saddik Canada
Misha Pavel United States
Panagiotis D. Bamidis Greece
Yiqiang Chen China
Dian Tjondronegoro Australia
Fred Cummins Ireland
Ioannis Kompatsiaris Greece
Noel E. O’Connor Ireland
Ye Wang relative to Begonya García-Zapirain Spain Begonya García-Zapirain's profile →
Citations per field
00.5×3.6×
Begonya García-Zapirain · 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 572 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Improving Content-based and Hybrid Music Recommendation using Deep Learning
Hit paper breakdown →
2014274
2 2012158
3 2015121
4 2008119
5 2005101
6
Reading and Deafness: Theory, Research, and Practice
200995
7 201091
8 201290
9 201589
10 201481
11 201277
12 200475
13 201572
14 201368
15 200867
16 201465
17 201565
18 200461
19 202161
20 202059

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 572 papers that have together received 7.4k indexed citations. Recurring topics across this work include Music and Audio Processing (93 papers), Speech and Audio Processing (61 papers), Music Technology and Sound Studies (50 papers), Speech Recognition and Synthesis (25 papers), Hearing Impairment and Communication (24 papers), Neuroscience and Music Perception (19 papers), Natural Language Processing Techniques (15 papers) and Video Coding and Compression Technologies (14 papers). The work is most often cited by research in Signal Processing (1.5k citations), Computer Vision and Pattern Recognition (1.5k citations), Developmental and Educational Psychology (660 citations), Cognitive Neuroscience (635 citations) and Artificial Intelligence (1.1k citations). Ye Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Peter V. Paul, Beverly J. Trezek, Jari Korhonen, David S. Rosenblum, Tin Lay Nwe, Yang Richard Yang, Yu Ko, Bingjun Zhang, Margarita Alegrı́a and Srinivasan Parthasarathy. Their work appears in journals such as IEEE Transactions on Multimedia, Frontiers in Psychiatry, IEEE/ACM Transactions on Audio Speech and Language Processing, 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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