Chuei‐Tin Chang

936 total citations
67 papers, 730 citations indexed

About

Chuei‐Tin Chang is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Chuei‐Tin Chang has authored 67 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Control and Systems Engineering, 19 papers in Computational Theory and Mathematics and 14 papers in Statistics, Probability and Uncertainty. Recurrent topics in Chuei‐Tin Chang's work include Fault Detection and Control Systems (27 papers), Advanced Control Systems Optimization (20 papers) and Process Optimization and Integration (17 papers). Chuei‐Tin Chang is often cited by papers focused on Fault Detection and Control Systems (27 papers), Advanced Control Systems Optimization (20 papers) and Process Optimization and Integration (17 papers). Chuei‐Tin Chang collaborates with scholars based in Taiwan, China and United States. Chuei‐Tin Chang's co-authors include K.W. Han, Sheng‐Yung Chang, Yifeng Wang, Baohong Li, C. C. Lin, Kandice Mah, Shaojun Li, Yuhui Jin, Chien‐Hung Wu and M. Epstein and has published in prestigious journals such as Journal of Applied Physics, Journal of The Electrochemical Society and Applied Energy.

In The Last Decade

Chuei‐Tin Chang

66 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuei‐Tin Chang Taiwan 15 484 132 123 106 98 67 730
Youdong Lin United States 13 340 0.7× 90 0.7× 56 0.5× 252 2.4× 55 0.6× 20 801
Gary J. Powers United States 20 678 1.4× 210 1.6× 108 0.9× 172 1.6× 15 0.2× 45 1.2k
S. Tosserams Netherlands 11 136 0.3× 144 1.1× 55 0.4× 231 2.2× 13 0.1× 15 568
Joseph K. Scott United States 21 979 2.0× 140 1.1× 94 0.8× 319 3.0× 45 0.5× 62 1.4k
Chyi‐Tsong Chen Taiwan 17 449 0.9× 28 0.2× 178 1.4× 145 1.4× 37 0.4× 45 913
R.S.H. Mah United States 19 1.0k 2.2× 194 1.5× 254 2.1× 75 0.7× 38 0.4× 37 1.3k
Guodong Wang China 13 134 0.3× 86 0.7× 62 0.5× 70 0.7× 6 0.1× 57 483
Sebastian Schmitt Germany 10 67 0.1× 44 0.3× 47 0.4× 202 1.9× 14 0.1× 28 648
J.L. Guardado Mexico 20 640 1.3× 35 0.3× 123 1.0× 11 0.1× 20 0.2× 74 1.4k

Countries citing papers authored by Chuei‐Tin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chuei‐Tin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuei‐Tin Chang. 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 Chuei‐Tin Chang. The network helps show where Chuei‐Tin Chang may publish in the future.

Co-authorship network of co-authors of Chuei‐Tin Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chuei‐Tin Chang. A scholar is included among the top collaborators of Chuei‐Tin Chang 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 Chuei‐Tin Chang. Chuei‐Tin Chang 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.
Chang, Chuei‐Tin, et al.. (2024). Efficient multi-objective optimization and operational analysis of amine scrubbing CO2 capture process with artificial neural network. International journal of greenhouse gas control. 138. 104242–104242. 1 indexed citations
2.
Chang, Chuei‐Tin, et al.. (2023). Expandable neural networks for efficient modeling of various amine scrubbing configurations for CO2 capture. Chemical Engineering Science. 281. 119191–119191. 4 indexed citations
3.
Chang, Chuei‐Tin, et al.. (2023). Joint incremental learning network for flexible modeling of carbon dioxide solubility in aqueous mixtures of amines. Separation and Purification Technology. 330. 125299–125299. 3 indexed citations
4.
Chang, Chuei‐Tin, et al.. (2020). Optimal Retrofit of a Multiplant Heat Exchanger Network with a Fair Benefit Allocation Plan. Industrial & Engineering Chemistry Research. 59(40). 18088–18105. 4 indexed citations
5.
Chang, Chuei‐Tin, et al.. (2018). Game-theory based optimization strategies for stepwise development of indirect interplant heat integration plans. Energy. 148. 90–111. 20 indexed citations
6.
Chang, Chuei‐Tin, et al.. (2017). Operations scheduling in batch chemical plants with timed automata. 895–900. 1 indexed citations
7.
Jin, Yuhui, et al.. (2017). On the use of risk-based Shapley values for cost sharing in interplant heat integration programs. Applied Energy. 211. 904–920. 32 indexed citations
8.
Chang, Chuei‐Tin, et al.. (2009). Iterative Identification of Continuous-Time Hammerstein and Wiener Systems Using a Two-Stage Estimation Algorithm. Industrial & Engineering Chemistry Research. 48(3). 1495–1510. 13 indexed citations
9.
Pan, C. J., et al.. (2009). Nanostructured Surface Morphology of ZnO Grown On A-plane GaN. ECS Transactions. 25(12). 113–116. 2 indexed citations
10.
Chang, Chuei‐Tin, et al.. (2008). Application of a Mathematic Programming Model for Integrated Planning and Scheduling of Petroleum Supply Networks. Industrial & Engineering Chemistry Research. 47(6). 1935–1954. 25 indexed citations
11.
Chang, Chuei‐Tin, et al.. (2003). Optimal Sensor Placement and Maintenance Strategies for Mass-Flow Networks. Industrial & Engineering Chemistry Research. 42(19). 4366–4375. 10 indexed citations
12.
Chang, Chuei‐Tin, Yi-Shin Lin, & Christos Georgakis. (2002). A simple graphic approach for observer decomposition. Journal of Process Control. 12(8). 857–873. 1 indexed citations
13.
Chang, Chuei‐Tin, et al.. (1998). Simplification techniques for EKF computations in fault diagnosis: Model decomposition. AIChE Journal. 44(6). 1392–1403. 5 indexed citations
14.
Chang, Chuei‐Tin, et al.. (1998). Simplification techniques for EKF computations in fault diagnosis—suboptimal gains. Chemical Engineering Science. 53(22). 3853–3862. 11 indexed citations
15.
Chang, Chuei‐Tin, et al.. (1995). Implementation issues concerning the EKF-based fault diagnosis techniques. Chemical Engineering Science. 50(18). 2861–2882. 21 indexed citations
16.
Chang, Chuei‐Tin, et al.. (1994). Studies on the Digraph-Based Approach for Fault-Tree Synthesis. 2. The Trip Systems. Industrial & Engineering Chemistry Research. 33(7). 1700–1707. 10 indexed citations
17.
Wu, Meng‐Chyi, Yan Su, K. Y. Cheng, & Chuei‐Tin Chang. (1988). Electrical and optical properties of heavily doped Mg- and Te-GaAs grown by liquid-phase epitaxy. Solid-State Electronics. 31(2). 251–256. 20 indexed citations
18.
Chang, Chuei‐Tin, et al.. (1987). Effects of the third-electrode positions on three-terminal GaAs p+n-δ(p+)n-n+ switching devices. IEE Proceedings I Solid State and Electron Devices. 134(4). 129–129. 2 indexed citations
19.
Chang, Chuei‐Tin, et al.. (1985). Incorporation of Al and Ga in AlGaAs grown by low-pressure triethyl gallium metalorganic vapor-phase epitaxy. Journal of Applied Physics. 58(1). 609–611. 4 indexed citations
20.
Chang, Chuei‐Tin & M. Epstein. (1982). IDENTIFICATION OF BATCH CRYSTALLIZATION CONTROL STRATEGIES USING CHARACTERISTIC CURVES.. 68–75. 10 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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