Mu-Chun Su

650 total citations
23 papers, 437 citations indexed

About

Mu-Chun Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Mu-Chun Su has authored 23 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Human-Computer Interaction. Recurrent topics in Mu-Chun Su's work include Face and Expression Recognition (3 papers), Gaze Tracking and Assistive Technology (3 papers) and Neural Networks and Applications (3 papers). Mu-Chun Su is often cited by papers focused on Face and Expression Recognition (3 papers), Gaze Tracking and Assistive Technology (3 papers) and Neural Networks and Applications (3 papers). Mu-Chun Su collaborates with scholars based in Taiwan, Hong Kong and China. Mu-Chun Su's co-authors include Hsiao-Te Chang, Jieh‐Haur Chen, Gwo‐Dong Chen, Shu‐Chien Hsu, Ruijun Cao, Jin‐Chun Lu, Li-Ren Yang, Ching‐Chang Wong, Shih‐Ching Yeh and Pa‐Chun Wang and has published in prestigious journals such as PLoS ONE, Sensors and Pattern Recognition.

In The Last Decade

Mu-Chun Su

23 papers receiving 416 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mu-Chun Su Taiwan	12	126	93	73	73	45	23	437
Ren Li China	9	111 0.9×	76 0.8×	63 0.9×	11 0.2×	53 1.2×	26	370
Iza Sazanita Isa Malaysia	13	180 1.4×	205 2.2×	18 0.2×	36 0.5×	46 1.0×	89	608
Afef Abdelkrim Tunisia	8	130 1.0×	141 1.5×	12 0.2×	37 0.5×	41 0.9×	49	441
Wen Zhou China	13	64 0.5×	111 1.2×	14 0.2×	48 0.7×	58 1.3×	47	485
Katsuhiko Mori Japan	2	117 0.9×	205 2.2×	15 0.2×	18 0.2×	31 0.7×	5	448
Sabbir Ahmed Bangladesh	11	126 1.0×	198 2.1×	36 0.5×	19 0.3×	25 0.6×	33	542
Jiaming Zhang China	14	118 0.9×	323 3.5×	26 0.4×	36 0.5×	139 3.1×	33	834
Батырхан Омаров Kazakhstan	19	222 1.8×	137 1.5×	20 0.3×	14 0.2×	19 0.4×	83	721
R. Unnikrishnan United States	14	89 0.7×	430 4.6×	18 0.2×	70 1.0×	24 0.5×	41	813
Adil Deniz Duru Türkiye	13	95 0.8×	111 1.2×	14 0.2×	34 0.5×	186 4.1×	72	580

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-authorship network of co-authors of Mu-Chun Su

This figure shows the co-authorship network connecting the top 25 collaborators of Mu-Chun Su. A scholar is included among the top collaborators of Mu-Chun Su 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 Mu-Chun Su. Mu-Chun Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Jieh‐Haur, et al.. (2021). Swarm-inspired data-driven approach for housing market segmentation: a case study of Taipei city. Journal of Housing and the Built Environment. 36(4). 1787–1811. 5 indexed citations

Lin, Yu-Kai, Mu-Chun Su, & Yi‐Zeng Hsieh. (2020). The Application and Improvement of Deep Neural Networks in Environmental Sound Recognition. Applied Sciences. 10(17). 5965–5965. 8 indexed citations

Su, Mu-Chun, et al.. (2019). An Eye-Tracking System based on Inner Corner-Pupil Center Vector and Deep Neural Network. Sensors. 20(1). 25–25. 12 indexed citations

Yeh, Shih‐Ching, et al.. (2016). Three-dimensional, virtual reality vestibular rehabilitation for chronic imbalance problem caused by Ménière’s disease: a pilot study. Disability and Rehabilitation. 39(16). 1601–1606. 46 indexed citations

Lin, Ping‐I, et al.. (2016). Predicting Aggressive Tendencies by Visual Attention Bias Associated with Hostile Emotions. PLoS ONE. 11(2). e0149487–e0149487. 10 indexed citations

Su, Mu-Chun, et al.. (2015). Depth-Sensor-Based Monitoring of Therapeutic Exercises. Sensors. 15(10). 25628–25647. 2 indexed citations

Yeh, Jia‐Rong, et al.. (2014). Expression Profiles of Loneliness-associated Genes for Survival Prediction in Cancer Patients. Asian Pacific Journal of Cancer Prevention. 15(1). 185–190. 5 indexed citations

Hsieh, Yi‐Zeng, et al.. (2013). The development of a robot-based learning companion: a user-centered design approach. Interactive Learning Environments. 23(3). 356–372. 4 indexed citations

Su, Mu-Chun, et al.. (2012). A new approach to multi-aircraft air combat assignments. Swarm and Evolutionary Computation. 6. 39–46. 18 indexed citations

10.

Chen, Jieh‐Haur, et al.. (2010). Application of a SOM-Based Optimization Algorithm in Minimizing Construction Time for Secant Pile Wall. Journal of Construction Engineering and Management. 136(11). 1189–1195. 8 indexed citations

11.

Chen, Jieh‐Haur, Li-Ren Yang, & Mu-Chun Su. (2009). Comparison of SOM-based optimization and particle swarm optimization for minimizing the construction time of a secant pile wall. Automation in Construction. 18(6). 844–848. 35 indexed citations

12.

Su, Mu-Chun, et al.. (2006). AN EYE TRACKING SYSTEM AND ITS APPLICATION IN AIDS FOR PEOPLE WITH SEVERE DISABILITIES. Biomedical Engineering Applications Basis and Communications. 18(6). 319–327. 23 indexed citations

13.

Su, Mu-Chun, et al.. (2005). A LOW-COST VISION-BASED HUMAN-COMPUTER INTERFACE FOR PEOPLE WITH SEVERE DISABILITIES. Biomedical Engineering Applications Basis and Communications. 17(6). 284–292. 22 indexed citations

14.

Su, Mu-Chun, et al.. (2003). A NEURAL-NETWORK-BASED APPROACH TO RECOGNIZING 3D ARM MOVEMENTS. Biomedical Engineering Applications Basis and Communications. 15(1). 17–26. 11 indexed citations

15.

Su, Mu-Chun & Hsiao-Te Chang. (2001). A new model of self-organizing neural networks and its application in data projection. IEEE Transactions on Neural Networks. 12(1). 153–158. 62 indexed citations

16.

Wong, Ching‐Chang, et al.. (2001). A novel algorithm for data clustering. Pattern Recognition. 34(2). 425–442. 34 indexed citations

17.

Su, Mu-Chun & Ta‐Kang Liu. (2001). Application of neural networks using quadratic junctions in cluster analysis. Neurocomputing. 37(1-4). 165–175. 14 indexed citations

18.

Su, Mu-Chun, et al.. (2000). 3D arm movement recognition using syntactic pattern recognition. Artificial Intelligence in Engineering. 14(2). 113–118. 8 indexed citations

19.

Liu, Chih‐Wen, et al.. (1999). Neuro-fuzzy approach to real-time transient stability prediction based on synchronized phasor measurements. Electric Power Systems Research. 49(2). 123–127. 13 indexed citations

20.

Su, Mu-Chun. (1994). Use of neural networks as medical diagnosis expert systems. Computers in Biology and Medicine. 24(6). 419–429. 21 indexed citations

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.

Explore authors with similar magnitude of impact