Chao‐Tung Yang

4.8k total citations
318 papers, 2.8k citations indexed

About

Chao‐Tung Yang is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Chao‐Tung Yang has authored 318 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 226 papers in Computer Networks and Communications, 117 papers in Information Systems and 86 papers in Hardware and Architecture. Recurrent topics in Chao‐Tung Yang's work include Distributed and Parallel Computing Systems (133 papers), Cloud Computing and Resource Management (91 papers) and Parallel Computing and Optimization Techniques (79 papers). Chao‐Tung Yang is often cited by papers focused on Distributed and Parallel Computing Systems (133 papers), Cloud Computing and Resource Management (91 papers) and Parallel Computing and Optimization Techniques (79 papers). Chao‐Tung Yang collaborates with scholars based in Taiwan, Indonesia and United States. Chao‐Tung Yang's co-authors include Endah Kristiani, Jung‐Chun Liu, Wen‐Chung Shih, Shuo-Tsung Chen, Fuu‐Cheng Jiang, Shian‐Shyong Tseng, Chin‐Yin Huang, Ching‐Hsien Hsu, Kuan‐Ching Li and Chih‐Hung Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Chao‐Tung Yang

308 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao‐Tung Yang Taiwan 26 1.5k 908 421 362 361 318 2.8k
Péter Völgyesi United States 24 1.0k 0.7× 417 0.5× 256 0.6× 643 1.8× 894 2.5× 99 2.9k
Cynthia A. Phillips United States 25 1.5k 1.0× 714 0.8× 197 0.5× 264 0.7× 314 0.9× 92 2.9k
Mukesh Singhal United States 34 3.2k 2.2× 756 0.8× 696 1.7× 642 1.8× 852 2.4× 237 4.6k
Jin Song Dong Singapore 24 621 0.4× 888 1.0× 134 0.3× 1.1k 3.1× 253 0.7× 216 2.9k
David Irwin United States 32 2.0k 1.4× 1.9k 2.0× 446 1.1× 960 2.7× 2.0k 5.6× 174 4.9k
Wei Jiang China 27 1.0k 0.7× 280 0.3× 111 0.3× 285 0.8× 1.3k 3.7× 181 2.8k
Vijay Sivaraman Australia 36 3.4k 2.3× 756 0.8× 139 0.3× 1.5k 4.1× 1.4k 3.8× 181 4.6k
Rahul Khanna United States 15 573 0.4× 305 0.3× 347 0.8× 430 1.2× 532 1.5× 71 2.2k
Bing Guo China 21 410 0.3× 305 0.3× 72 0.2× 312 0.9× 229 0.6× 146 1.5k
Jianping Wu China 32 398 0.3× 153 0.2× 108 0.3× 361 1.0× 374 1.0× 222 3.2k

Countries citing papers authored by Chao‐Tung Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Tung Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Tung Yang. 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 Chao‐Tung Yang. The network helps show where Chao‐Tung Yang may publish in the future.

Co-authorship network of co-authors of Chao‐Tung Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chao‐Tung Yang. A scholar is included among the top collaborators of Chao‐Tung Yang 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 Chao‐Tung Yang. Chao‐Tung Yang 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.
Kristiani, Endah, et al.. (2025). HPPH: Computer-Vision-Based Service for High-Performance Pavement Health Recognition. IEEE Internet of Things Journal. 12(11). 15987–15996. 1 indexed citations
2.
Kristiani, Endah, et al.. (2024). An Intelligent Thermal Compensation System Using Edge Computing for Machine Tools. Sensors. 24(8). 2531–2531. 5 indexed citations
3.
Liu, Jung‐Chun, et al.. (2024). Flame and smoke detection using Kafka on edge devices. Internet of Things. 27. 101309–101309. 3 indexed citations
4.
Yang, Chao‐Tung, et al.. (2023). A quantitative method for the assessment of facial attractiveness based on transfer learning with fine-grained image classification. Pattern Recognition. 145. 109970–109970. 5 indexed citations
5.
Liu, Jung‐Chun, et al.. (2022). Performance Analysis in HyperFlex and vSAN Hyper Convergence Platforms for Online Course Consideration. IEEE Access. 10. 124464–124474. 1 indexed citations
6.
Yang, Chao‐Tung, et al.. (2022). Special Issue on Innovative Applications of Big Data and Cloud Computing. Applied Sciences. 12(19). 9648–9648. 1 indexed citations
7.
Yang, Chao‐Tung, et al.. (2020). Visualizing Potential Transportation Demand From ETC Log Analysis Using ELK Stack. IEEE Internet of Things Journal. 7(7). 6623–6633. 15 indexed citations
8.
Yang, Chao‐Tung, et al.. (2020). NetFlow Monitoring and Cyberattack Detection Using Deep Learning With Ceph. IEEE Access. 8. 7842–7850. 19 indexed citations
9.
Yang, Chao‐Tung, et al.. (2019). The Implementation of a Real-time Monitoring and Prediction System of PM2.5 and Influenza-Like Illness Using Deep Learning. 網際網路技術學刊. 20(7). 2237–2245. 1 indexed citations
10.
Yang, Chao‐Tung, et al.. (2019). An Implementation of Scalable High Throughput Data Platform for Logging Semiconductor Testing Results. IEEE Access. 7. 26497–26506. 6 indexed citations
11.
Huang, Yi‐Li, Fang−Yie Leu, Jung‐Chun Liu, et al.. (2015). A Secure Authentication System for Controlling Traffic Lights for Ambulances. 網際網路技術學刊. 16(1). 19–33. 2 indexed citations
12.
Jiang, Fuu‐Cheng, et al.. (2013). Toward Green Sensor Field by Optimizing Power Efficiency Using D-Policy M/G/1 Queuing Systems. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Yang, Chao‐Tung, et al.. (2010). Implementation of a medical information service on Android mobile devices. 72–77. 8 indexed citations
14.
Shih, Wen‐Chung, Chao‐Tung Yang, & Shian‐Shyong Tseng. (2009). Using a Performance-based Skeleton to Implement Divisible Load Applications on Grid Computing Environments *. Journal of information science and engineering. 25(1). 59–81. 7 indexed citations
15.
Yang, Chao‐Tung, et al.. (2008). Utilize multi CPU cores to improve dust simulation performance. AGU Fall Meeting Abstracts. 2008. 1 indexed citations
16.
Yang, Chao‐Tung, et al.. (2005). An e-Learning Platform Based on Grid Architecture. Journal of information science and engineering. 21(5). 911–928. 14 indexed citations
17.
Yang, Chao‐Tung, et al.. (2004). A Parallel Loop Self-Scheduling on Extremely Heterogeneous PC Clusters. Journal of information science and engineering. 20(2). 263–273. 29 indexed citations
18.
Yang, Chao‐Tung, et al.. (2001). USING A BEOWULF CLUSTER FOR A REMOTE SENSING APPLICATION. Veterinary Parasitology. 200(1-2). 203–6. 7 indexed citations
19.
Yang, Chao‐Tung, et al.. (2000). An Intelligent Parallel Loop Scheduling for Parallelizing Compilers.. Journal of information science and engineering. 16(2). 169–200. 12 indexed citations
20.
Yang, Chao‐Tung, et al.. (1998). Efficient Run-Time Parallelization for DO Loops.. Journal of information science and engineering. 14. 237–253. 1 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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