Mu‐Chun Su

106 papers receiving 1.7k citations

Peers

Mu‐Chun Su
Comparison fields: 5 of 161
  • Human-Computer Interaction 214
  • Computer Vision and Pattern Recognition 515
  • Artificial Intelligence 708
  • Signal Processing 150
  • Control and Systems Engineering 256
Replace Fakhreddine Karray with:
Fakhreddine Karray Canada
Gang Qian United States
Klaus D. McDonald-Maier United Kingdom
Othman Omran Khalifa Malaysia
Miguel Cazorla Spain
Md. Milon Islam Bangladesh
Kyandoghere Kyamakya Austria
Zhelong Wang China
Vasileios Argyriou United Kingdom
Luis Enrique Sucar Mexico
Mu‐Chun Su relative to Fakhreddine Karray Canada Fakhreddine Karray's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mu‐Chun Su

Since Specialization
Citations

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

Fields of papers citing papers by Mu‐Chun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mu‐Chun Su. 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 Mu‐Chun Su. The network helps show where Mu‐Chun Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001262
2 2004235
3 1999127
4 201381
5 200074
6 200058
7 201547
8 201442
9 199836
10 201033
11 201033
12 200030
13 199927
14 201425
15 200225
16 201424
17 201024
18 201024
19 202123
20 200122

About Mu‐Chun Su

Mu‐Chun Su is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction, Signal Processing and Control and Systems Engineering, having authored 113 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (28 papers), Fuzzy Logic and Control Systems (16 papers), Face and Expression Recognition (15 papers), Hand Gesture Recognition Systems (12 papers), Tactile and Sensory Interactions (6 papers), Image Retrieval and Classification Techniques (6 papers), Power System Optimization and Stability (5 papers) and Gaze Tracking and Assistive Technology (5 papers). The work is most often cited by research in Human-Computer Interaction (214 citations), Computer Vision and Pattern Recognition (515 citations), Artificial Intelligence (708 citations), Signal Processing (150 citations) and Control and Systems Engineering (256 citations). Mu‐Chun Su has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Chien-Hsing Chou, Eugene Lai, Hsiao-Te Chang, Pa‐Chun Wang, Chih‐Wen Liu, Yi‐Zeng Hsieh, Yi-Jen Wang, Shih‐Ching Yeh, Jieh‐Haur Chen and Yichun Liu. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Neural Processing Letters, Computer Methods and Programs in Biomedicine and Fuzzy Sets and Systems.

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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