Wei-Cheng Lin

60 papers receiving 547 citations

Peers

Wei-Cheng Lin
Comparison fields: 5 of 71
  • Signal Processing 135
  • Experimental and Cognitive Psychology 129
  • Automotive Engineering 63
  • Artificial Intelligence 168
  • Control and Systems Engineering 108
Replace Huaming Wang with:
Huaming Wang China
Kyoungro Yoon South Korea
Chen-Chiung Hsieh Taiwan
Yuan Luo China
Ryad Chellali Italy
Faran Awais Butt Pakistan
Rafał Rusinek Poland
Lei He China
Gary Scavone Canada
Wei-Cheng Lin relative to Huaming Wang China Huaming Wang's profile →
Citations per field
00.5×7.6×
Huaming Wang · 1×
Citations per year

Countries citing papers authored by Wei-Cheng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Cheng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Cheng Lin. 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 Wei-Cheng Lin. The network helps show where Wei-Cheng Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003146
2 200344
3 201739
4 200832
5 202232
6 202129
7 200624
8 202114
9 202214
10 202013
11 201513
12 200413
13 202111
14 202110
15 20229
16 20209
17 20248
18 20228
19 20208
20 20148

About Wei-Cheng Lin

Wei-Cheng Lin is a scholar working on Electrical and Electronic Engineering, Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology and Atomic and Molecular Physics, and Optics, having authored 71 papers that have together received 580 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (18 papers), Music and Audio Processing (12 papers), Adaptive optics and wavefront sensing (10 papers), Speech and Audio Processing (10 papers), Sentiment Analysis and Opinion Mining (9 papers), Speech Recognition and Synthesis (9 papers), Advanced optical system design (5 papers) and Optical Systems and Laser Technology (4 papers). The work is most often cited by research in Signal Processing (135 citations), Experimental and Cognitive Psychology (129 citations), Automotive Engineering (63 citations), Artificial Intelligence (168 citations) and Control and Systems Engineering (108 citations). Wei-Cheng Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shiuh‐Jer Huang, Carlos Busso, Chi-Chun Lee, Yi-Ren Yeh, Shi‐Chung Chang, Hsi‐Pin Ma, Ching‐Ho Tien, Lung‐Chien Chen, Hiromasa Ohmi and Hen‐Wai Tsao. Their work appears in journals such as IEEE Transactions on Affective Computing, Optical Engineering, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Signal Processing Magazine and IEEE Transactions on Semiconductor Manufacturing.

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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