Kuo‐Chung Chu

806 total citations
60 papers, 586 citations indexed

About

Kuo‐Chung Chu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Kuo‐Chung Chu has authored 60 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 15 papers in Electrical and Electronic Engineering and 7 papers in Information Systems. Recurrent topics in Kuo‐Chung Chu's work include Wireless Communication Networks Research (11 papers), Advanced Wireless Network Optimization (10 papers) and Liquid Crystal Research Advancements (6 papers). Kuo‐Chung Chu is often cited by papers focused on Wireless Communication Networks Research (11 papers), Advanced Wireless Network Optimization (10 papers) and Liquid Crystal Research Advancements (6 papers). Kuo‐Chung Chu collaborates with scholars based in Taiwan, United States and China. Kuo‐Chung Chu's co-authors include W. L. McMillan, Yi‐Chun Wu, Chih-Yu Chao, Ya‐Fang Chen, C. C. Chen, Ming-Chun Huang, Yu‐Shu Huang, Frank Yeong‐Sung Lin, Diliang Chen and Wenyao Xu and has published in prestigious journals such as Applied Physics Letters, The Journal of the Acoustical Society of America and Expert Systems with Applications.

In The Last Decade

Kuo‐Chung Chu

53 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuo‐Chung Chu Taiwan 11 242 142 94 79 76 60 586
Anna Pyayt United States 12 181 0.7× 312 2.2× 123 1.3× 26 0.3× 206 2.7× 46 594
Michael G. Robinson United States 15 193 0.8× 79 0.6× 82 0.9× 12 0.2× 96 1.3× 105 872
Shubham Jain India 12 206 0.9× 72 0.5× 135 1.4× 30 0.4× 148 1.9× 46 481
Kanghee Lee South Korea 18 214 0.9× 214 1.5× 230 2.4× 174 2.2× 555 7.3× 150 1.2k
Masao Sugi Japan 18 103 0.4× 141 1.0× 216 2.3× 53 0.7× 209 2.8× 91 1.1k
Vicente López Spain 18 86 0.4× 188 1.3× 254 2.7× 68 0.9× 249 3.3× 40 1.1k
Young Sang Choi South Korea 18 197 0.8× 148 1.0× 26 0.3× 28 0.4× 182 2.4× 44 1.1k
Sally E. Day United Kingdom 17 682 2.8× 174 1.2× 240 2.6× 86 1.1× 452 5.9× 81 1.1k

Countries citing papers authored by Kuo‐Chung Chu

Since Specialization
Citations

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

Fields of papers citing papers by Kuo‐Chung Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Chung Chu. 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 Kuo‐Chung Chu. The network helps show where Kuo‐Chung Chu may publish in the future.

Co-authorship network of co-authors of Kuo‐Chung Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Chung Chu. A scholar is included among the top collaborators of Kuo‐Chung Chu 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 Kuo‐Chung Chu. Kuo‐Chung Chu 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
1.
Chu, Kuo‐Chung, et al.. (2024). Applying machine learning to language problem analysis. 200–203. 1 indexed citations
2.
Chu, Kuo‐Chung, et al.. (2023). Validity of Diagnostic Support Model for Attention Deficit Hyperactivity Disorder: A Machine Learning Approach. Journal of Personalized Medicine. 13(11). 1525–1525. 2 indexed citations
3.
Hsu, Chien‐Yeh, et al.. (2022). Machine Learning Approach for Chronic Kidney Disease Risk Prediction Combining Conventional Risk Factors and Novel Metabolic Indices. Applied Sciences. 12(23). 12001–12001. 3 indexed citations
4.
Chen, Huan, et al.. (2022). Transfer Learning Model Knowledge Across Multi-Sensors Locations Over Body Sensor Network. IEEE Sensors Journal. 22(11). 10663–10670. 4 indexed citations
5.
Chin, Wei‐Chih, et al.. (2022). Quality of life changes and their predictors in young adult narcolepsy patients after treatment: A real-world cohort study. Frontiers in Psychiatry. 13. 956037–956037. 9 indexed citations
6.
Lin, Chen, Wei‐Chih Chin, Yu‐Shu Huang, et al.. (2021). Different circadian rest–active rhythms in Kleine-Levin syndrome: a prospective and case–control study. SLEEP. 44(9). 9 indexed citations
7.
Chu, Kuo‐Chung, et al.. (2021). The Impact of Global Budgeting on the Efficiency of Healthcare under a Single-Payer System in Taiwan. International Journal of Environmental Research and Public Health. 18(20). 10983–10983. 4 indexed citations
8.
Cao, Huiyi, et al.. (2020). Designing Deep Reinforcement Learning Systems for Musculoskeletal Modeling and Locomotion Analysis Using Wearable Sensor Feedback. IEEE Sensors Journal. 20(16). 9274–9282. 11 indexed citations
9.
10.
Chu, Kuo‐Chung, et al.. (2020). Using Mobile Electroencephalography and Actigraphy to Diagnose Attention-Deficit/Hyperactivity Disorder: Case-Control Comparison Study. JMIR Mental Health. 7(6). e12158–e12158. 8 indexed citations
11.
Huang, Yu‐Shu, Wei‐Chih Chin, Christian Guilleminault, et al.. (2020). Inflammatory Factors: Nonobese Pediatric Obstructive Sleep Apnea and Adenotonsillectomy. Journal of Clinical Medicine. 9(4). 1028–1028. 15 indexed citations
12.
Chu, Kuo‐Chung, et al.. (2020). Toward a New Real-Time Approach for Group Consensus: A Usability Analysis of Synchronous Delphi System. Group Decision and Negotiation. 29(2). 345–370. 7 indexed citations
13.
Chen, Diliang, et al.. (2019). Bring Gait Lab to Everyday Life: Gait Analysis in Terms of Activities of Daily Living. IEEE Internet of Things Journal. 7(2). 1298–1312. 56 indexed citations
14.
Liu, Chien‐Hung, et al.. (2019). Mobile community learning programme's effectiveness in case management for psychiatric nurses: A preliminary randomised controlled trial. Nurse Education Today. 85. 104259–104259. 3 indexed citations
15.
Chu, Kuo‐Chung & Min Xiao. (2017). A Study on the Correlation between Breast Cancer and Air pollution. 757–762. 3 indexed citations
16.
Chu, Kuo‐Chung, et al.. (2016). Knowledge flow of biomedical informatics domain: position-based co-citation analysis approach. 1119–1126. 3 indexed citations
17.
Chu, Kuo‐Chung, et al.. (2016). Machine learning approach for distinction of ADHD and OSA. 1044–1049. 4 indexed citations
18.
Chu, Kuo‐Chung, et al.. (2013). Minimum-Cost QoS-Constrained Deployment and Routing Policies for Wireless Relay Networks. Journal of Applied Mathematics. 2013. 1–19. 1 indexed citations
19.
Chu, Kuo‐Chung, et al.. (2009). Enhancing Consumer Behavior Analysis by Data Mining Techniques. 20(1). 39–53. 7 indexed citations
20.
Chu, Kuo‐Chung, et al.. (1980). Measurement of Refractive Indices and Study of Isotropic-Nematic Phase Transition by the Surface Plasmon Technique. Molecular crystals and liquid crystals. 59(1-2). 97–108. 27 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.

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