S.M. Kuo

1.9k citations
81 papers · 1.4k · h-index 20

Impact in

Papers in

S.M. Kuo

75 papers receiving 1.4k citations

Peers

S.M. Kuo
Comparison fields: 5 of 63
  • Signal Processing 966
  • Computational Mechanics 1.2k
  • Biomedical Engineering 627
  • Automotive Engineering 156
  • Control and Systems Engineering 219
Replace Yoshinobu Kajikawa with:
Yoshinobu Kajikawa Japan
L. J. Eriksson United States
Konrad Kowalczyk Poland
Muhammad Tahir Akhtar Japan
IM STOTHERS United Kingdom
María de Diego Spain
Miguel Ferrer Spain
Dongyuan Shi Singapore
Gema Piñero Spain
Prasanga N. Samarasinghe Australia
S.M. Kuo relative to Yoshinobu Kajikawa Japan Yoshinobu Kajikawa's profile →
Citations per field
00.5×1.5×2.4×
Yoshinobu Kajikawa · 1×
Citations per year

Countries citing papers authored by S.M. Kuo

Since Specialization
Citations

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

Fields of papers citing papers by S.M. Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.M. Kuo. 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 S.M. Kuo. The network helps show where S.M. Kuo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997145
2 2006143
3 2005106
4 200288
5 200581
6 200569
7 199565
8 200359
9 199946
10 200445
11 200743
12 199935
13 199731
14 199628
15 199328
16 199626
17 200624
18 200222
19 199421
20 200620

About S.M. Kuo

S.M. Kuo is a scholar working on Computational Mechanics, Signal Processing, Biomedical Engineering, Cognitive Neuroscience and Control and Systems Engineering, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (73 papers), Speech and Audio Processing (57 papers), Acoustic Wave Phenomena Research (32 papers), Blind Source Separation Techniques (16 papers), Hearing Loss and Rehabilitation (8 papers), Vehicle Noise and Vibration Control (6 papers), Structural Health Monitoring Techniques (5 papers) and Analog and Mixed-Signal Circuit Design (4 papers). The work is most often cited by research in Signal Processing (966 citations), Computational Mechanics (1.2k citations), Biomedical Engineering (627 citations), Automotive Engineering (156 citations) and Control and Systems Engineering (219 citations). S.M. Kuo has collaborated with scholars based in United States, Singapore and Taiwan. Frequent co-authors include Woon‐Seng Gan, S. Mitra, Hsien–Tsai Wu, Xuan Kong, Yu Gong, Ying Song, Debi Prasad Das, Gayadhar Panda, Hsin‐Te Wu and Dennis R. Morgan. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, IEEE Transactions on Consumer Electronics, IEEE Transactions on Control Systems Technology, Electronics Letters and IEEE Transactions on Education.

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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