Yanxiang Chen

6.1k citations
20 papers · 177 indexed · h-index 6
Topics
Speech and Audio Processing (5 papers)Digital Media Forensic Detection (5 papers)Music and Audio Processing (4 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Yanxiang Chen

19 papers receiving 170 citations

Peers

Yanxiang Chen
Comparison fields: 5 of 75
  • Molecular Biology 71
  • Artificial Intelligence 44
  • Ecology 35
  • Computer Vision and Pattern Recognition 19
  • Signal Processing 18
Replace Mayank Lahiri with:
Mayank Lahiri United States
Stephane S. Robin France
Chen Sun China
Kristen L. Beck United States
Svenja Simon Germany
Chien‐Kang Huang Taiwan
Ci‐Ren Jiang Taiwan
Kifah Tout Lebanon
Yuhao Wen China
Myung Won Kim South Korea
Yanxiang Chen relative to Mayank Lahiri United States Mayank Lahiri's profile →
Citations per field
00.5×5.7×
Mayank Lahiri · 1×
Citations per year

Countries citing papers authored by Yanxiang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yanxiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanxiang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yanxiang Chen. A scholar is included among the top collaborators of Yanxiang Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yanxiang Chen. Yanxiang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 4
3 4
4 7
5 2
6 3
7 1
8 1
9 2
10 3
11 2
12 110
13 6
14 10
15
Basic Universal Triple I Restriction Methods for FMP Problem
3
16 6
17 3
18
Audio-visual bimodal speaker identification in a smart environment
1
19 5
20 1

About Yanxiang Chen

Yanxiang Chen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 20 papers that have together received 177 indexed citations. Recurring topics across this work include Speech and Audio Processing (5 papers), Digital Media Forensic Detection (5 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Signal Processing (18 citations), Artificial Intelligence (44 citations) and Ecology (35 citations). Yanxiang Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hao Zhang, Yujian Shi, Binghang Liu, Tak‐Wah Lam, Zhenyu Li, Siu‐Ming Yiu, Ruibang Luo, Yingrui Li, Yinlong Xie and Jianying Yuan. Their work appears in journals such as Bioinformatics, Expert Systems with Applications and Neurocomputing.

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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