Ju-Chiang Wang

954 citations
39 papers · 553 · h-index 14

Impact in

Papers in

Ju-Chiang Wang

36 papers receiving 517 citations

Peers

Ju-Chiang Wang
Comparison fields: 5 of 50
  • Signal Processing 411
  • Computer Vision and Pattern Recognition 274
  • Cognitive Neuroscience 144
  • Music 22
  • Experimental and Cognitive Psychology 73
Replace Luís Gustavo Martins with:
Luís Gustavo Martins Portugal
Ya-Fan Su Taiwan
David Meredith Denmark
Samer Abdallah United Kingdom
Adam Berenzweig United States
Raymond Migneco United States
Cory McKay Canada
Barry Vercoe United States
Nicolas Wack Spain
Andreas F. Ehmann United States
Ju-Chiang Wang relative to Luís Gustavo Martins Portugal Luís Gustavo Martins's profile →
Citations per field
00.5×4.6×
Luís Gustavo Martins · 1×
Citations per year

Countries citing papers authored by Ju-Chiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ju-Chiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201167
2 201247
3 201543
4 201542
5 201434
6 201425
7 201224
8 201122
9 201321
10 202220
11 202417
12 201417
13 201015
14 201115
15
Personalized music emotion recognition via model adaptation
201213
16 201112
17 201712
18 202212
19 202411
20 202311

About Ju-Chiang Wang

Ju-Chiang Wang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience and General Health Professions, having authored 39 papers that have together received 553 indexed citations. Recurring topics across this work include Music and Audio Processing (37 papers), Music Technology and Sound Studies (25 papers), Speech and Audio Processing (24 papers), Speech Recognition and Synthesis (7 papers), Neuroscience and Music Perception (5 papers), Video Analysis and Summarization (3 papers), Hermeneutics and Narrative Identity (2 papers) and Aging, Elder Care, and Social Issues (2 papers). The work is most often cited by research in Signal Processing (411 citations), Computer Vision and Pattern Recognition (274 citations), Cognitive Neuroscience (144 citations), Music (22 citations) and Experimental and Cognitive Psychology (73 citations). Ju-Chiang Wang has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Hsin‐Min Wang, Yi‐Hsuan Yang, Shyh‐Kang Jeng, Hung-Yi Lo, Homer H. Chen, Shou-De Lin, Chin‐Chia Michael Yeh, Jordan B. L. Smith, Li Su and Jen-Yu Liu. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Affective Computing, IEEE/CAA Journal of Automatica Sinica, IEEE/ACM Transactions on Audio Speech and Language Processing and National University of Singapore.

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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