Ye Wang

11.6k citations
579 papers · 8.1k · 1 hit paper · h-index 44

Impact in

Papers in

Ye Wang

524 papers receiving 7.6k citations

Ye Wang's Hit Papers

Improving Content-based and Hybrid Music Recommendation using Deep Learning 2014 · 283 citations
2830+4+8Years since publication50100150200250

Peers

Ye Wang
Comparison fields: 5 of 208
  • Signal Processing 1.6k
  • Computer Vision and Pattern Recognition 1.5k
  • Developmental and Educational Psychology 748
  • Cognitive Neuroscience 694
  • Artificial Intelligence 1.2k
Replace Rytis Maskeliūnas with:
Rytis Maskeliūnas Lithuania
Fred A. Cummins Ireland
Noel Edward O'Connor Ireland
Begonya García-Zapirain Spain
Sebastian Möller Germany
Nadia Magnenat‐Thalmann Switzerland
Sidney Fels Canada
Leontios J. Hadjileontiadis Greece
Abdulmotaleb El Saddik Canada
Aamir Saeed Malik Malaysia
Ye Wang relative to Rytis Maskeliūnas Lithuania Rytis Maskeliūnas's profile →
Citations per field
00.5×5×10×16.6×
Rytis Maskeliūnas · 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 579 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 →
2014283
2 2012159
3 2015125
4 2008121
5 2018119
6 2005101
7
Reading and Deafness: Theory, Research, and Practice
200999
8 201594
9 201292
10 201087
11 201482
12 201576
13 201276
14 200476
15 201575
16 201372
17 202168
18 201466
19 200864
20 200963

About Ye Wang

Ye Wang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Developmental and Educational Psychology and Computer Networks and Communications, having authored 579 papers that have together received 8.1k indexed citations. Recurring topics across this work include Music and Audio Processing (93 papers), Speech and Audio Processing (60 papers), Music Technology and Sound Studies (50 papers), Speech Recognition and Synthesis (25 papers), Hearing Impairment and Communication (24 papers), Neuroscience and Music Perception (20 papers), Natural Language Processing Techniques (16 papers) and Advanced Data Compression Techniques (14 papers). The work is most often cited by research in Signal Processing (1.6k citations), Computer Vision and Pattern Recognition (1.5k citations), Developmental and Educational Psychology (748 citations), Cognitive Neuroscience (694 citations) and Artificial Intelligence (1.2k 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, John L. Luckner, Margarita Alegrı́a and Bingjun Zhang. Their work appears in journals such as Frontiers in Psychiatry, Journal of the Audio Engineering Society, IEEE Transactions on Multimedia, IEEE/ACM Transactions on Audio Speech and Language Processing and Applied Sciences.

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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