Ching-Feng Yeh

1.0k citations
29 papers · 498 · h-index 14

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems

Papers in

    • Speech Recognition and Synthesis 21
    • Natural Language Processing Techniques 8
    • Speech and dialogue systems 5
    • Topic Modeling 3
    • Speech and Audio Processing 16
    • Music and Audio Processing 11

Ching-Feng Yeh

29 papers receiving 450 citations

Peers

Ching-Feng Yeh
Comparison fields: 5 of 44
  • Signal Processing 242
  • Artificial Intelligence 391
  • Hardware and Architecture 45
  • Experimental and Cognitive Psychology 40
  • Computer Vision and Pattern Recognition 37
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Citations per year

Countries citing papers authored by Ching-Feng Yeh

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Feng Yeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Feng Yeh. 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 Ching-Feng Yeh. The network helps show where Ching-Feng Yeh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202191
2 201868
3 201441
4 202031
5 201128
6 202024
7 201022
8 201422
9 202120
10 202320
11 202115
12 202115
13 202013
14 201413
15 201112
16 201111
17 201511
18 20128
19 20217
20 20106

About Ching-Feng Yeh

Ching-Feng Yeh is a scholar working on Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 498 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (16 papers), Music and Audio Processing (11 papers), Natural Language Processing Techniques (8 papers), Speech and dialogue systems (5 papers), VLSI and FPGA Design Techniques (3 papers), Topic Modeling (3 papers) and Phonetics and Phonology Research (3 papers). The work is most often cited by research in Signal Processing (242 citations), Artificial Intelligence (391 citations), Hardware and Architecture (45 citations), Experimental and Cognitive Psychology (40 citations) and Computer Vision and Pattern Recognition (37 citations). Ching-Feng Yeh has collaborated with scholars based in Taiwan, United States and Switzerland. Frequent co-authors include Lin-shan Lee, Frank Zhang, Chunyang Wu, Yangyang Shi, Yongqiang Wang, Duc Le, Julian Chan, Lei Xie, Mari Ostendorf and Sining Sun. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE/ACM Transactions on Audio Speech and Language Processing.

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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