Jichen Yang

1.1k citations
50 papers · 714 · h-index 17

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Anomaly Detection Techniques and Applications

Papers in

Jichen Yang

46 papers receiving 691 citations

Peers

Jichen Yang
Comparison fields: 5 of 46
  • Signal Processing 584
  • Artificial Intelligence 527
  • Pharmacy 48
  • Computer Vision and Pattern Recognition 192
  • Music 15
Replace Andreas Nautsch with:
Andreas Nautsch France
Hee-Soo Heo South Korea
Jee-weon Jung South Korea
Anthony Larcher France
Federico Alegre France
Hardik B. Sailor India
Ibon Saratxaga Spain
Hemant A. Patil India
A. Revathi India
Galina Lavrentyeva Russia
Jichen Yang relative to Andreas Nautsch France Andreas Nautsch's profile →
Citations per field
00.5×2×3.4×
Andreas Nautsch · 1×
Citations per year

Countries citing papers authored by Jichen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jichen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jichen Yang. 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 Jichen Yang. The network helps show where Jichen Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202066
2 201953
3 201951
4 201941
5 201840
6 201935
7 202134
8 201932
9 201932
10 202027
11 201923
12 201822
13 202021
14 201821
15 201720
16 202119
17 200916
18 201916
19 202213
20 201610

About Jichen Yang

Jichen Yang is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Pharmacy and Control and Systems Engineering, having authored 50 papers that have together received 714 indexed citations. Recurring topics across this work include Speech and Audio Processing (35 papers), Speech Recognition and Synthesis (32 papers), Music and Audio Processing (21 papers), Digital Media Forensic Detection (7 papers), Infant Health and Development (5 papers), Natural Language Processing Techniques (3 papers), Advanced Algorithms and Applications (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Signal Processing (584 citations), Artificial Intelligence (527 citations), Pharmacy (48 citations), Computer Vision and Pattern Recognition (192 citations) and Music (15 citations). Jichen Yang has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Rohan Kumar Das, Haizhou Li, Qianhua He, Yanxiong Li, Yanmin Qian, Hongji Wang, Chang Huai You, Feilong Bao, Yuhan Zhang and Guanglai Gao. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Journal of Multimedia, Electronics Letters, Applied Acoustics and IEEE Transactions on Information Forensics and Security.

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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