Yung‐Chung Chang

1.4k total citations
38 papers, 1.2k citations indexed

About

Yung‐Chung Chang is a scholar working on Building and Construction, Electrical and Electronic Engineering and Plant Science. According to data from OpenAlex, Yung‐Chung Chang has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Building and Construction, 22 papers in Electrical and Electronic Engineering and 5 papers in Plant Science. Recurrent topics in Yung‐Chung Chang's work include Building Energy and Comfort Optimization (22 papers), Smart Grid Energy Management (15 papers) and Optimal Power Flow Distribution (4 papers). Yung‐Chung Chang is often cited by papers focused on Building Energy and Comfort Optimization (22 papers), Smart Grid Energy Management (15 papers) and Optimal Power Flow Distribution (4 papers). Yung‐Chung Chang collaborates with scholars based in Taiwan and United States. Yung‐Chung Chang's co-authors include Ching-Liang Chen, Hui‐Huang Chen, Wen‐Shing Lee, Ching-Yin Lee, Chi‐Tang Ho, Shyi‐Neng Lou, Hung‐Min Chang, Yi-Chun Lai, Chao-Rong Chen and Hsin-Chen Chen and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Applied Energy.

In The Last Decade

Yung‐Chung Chang

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yung‐Chung Chang Taiwan 18 730 539 227 223 140 38 1.2k
Filip Logist Belgium 23 153 0.2× 169 0.3× 88 0.4× 142 0.6× 60 0.4× 116 1.7k
Mohammad Shakeri Malaysia 16 160 0.2× 648 1.2× 248 1.1× 95 0.4× 153 1.1× 32 1.1k
Zhenyu Yu China 24 154 0.2× 326 0.6× 94 0.4× 159 0.7× 19 0.1× 98 1.6k
Junjie Gao China 14 118 0.2× 259 0.5× 65 0.3× 169 0.8× 53 0.4× 60 1.0k
Ali Heydari Iran 22 76 0.1× 269 0.5× 265 1.2× 746 3.3× 36 0.3× 111 1.8k
Soleiman Hosseinpour Iran 25 68 0.1× 109 0.2× 108 0.5× 412 1.8× 63 0.5× 47 1.9k
Tong Qiu China 21 67 0.1× 89 0.2× 70 0.3× 198 0.9× 89 0.6× 82 1.3k
Yulong Song China 26 244 0.3× 57 0.1× 90 0.4× 1.3k 5.6× 53 0.4× 83 1.7k
César de Prada Spain 19 46 0.1× 171 0.3× 81 0.4× 169 0.8× 61 0.4× 188 1.4k
Navin Sharma United States 15 50 0.1× 521 1.0× 144 0.6× 61 0.3× 232 1.7× 40 1.1k

Countries citing papers authored by Yung‐Chung Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yung‐Chung Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yung‐Chung Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Chung Chang. A scholar is included among the top collaborators of Yung‐Chung 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 Yung‐Chung Chang. Yung‐Chung 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, Yung‐Chung, et al.. (2019). Energy-saving Analysis of Chilled Water System for Large Temperature Difference Air Conditioning. IOP Conference Series Earth and Environmental Science. 252. 32112–32112. 3 indexed citations
2.
Chang, Yung‐Chung, et al.. (2017). Silver nanoparticle biosynthesis by using phenolic acids in rice husk extract as reducing agents and dispersants. Journal of Food and Drug Analysis. 26(2). 649–656. 84 indexed citations
3.
Chang, Yung‐Chung, et al.. (2017). Application of artificial neural network and genetic algorithm to the optimization of load distribution for a multiple-type-chiller plant. Building Simulation. 10(5). 711–722. 25 indexed citations
4.
Chang, Yung‐Chung, et al.. (2016). Support Vector Regression and Genetic Algorithm for HVAC Optimal Operation. Mathematical Problems in Engineering. 2016. 1–10. 6 indexed citations
5.
Chang, Yung‐Chung, et al.. (2016). AN ANALYSIS OF CHILLER ENERGY SAVINGS USING AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM. 344–357. 1 indexed citations
6.
Chang, Yung‐Chung, et al.. (2015). Effect of Ethanol Extracts from Hericium erinaceum Solid-State Fermented Wheat on Nerve Cells Growth. 1 indexed citations
7.
Lou, Shyi‐Neng, et al.. (2014). Drying effect on flavonoid composition and antioxidant activity of immature kumquat. Food Chemistry. 171. 356–363. 69 indexed citations
8.
Chang, Yung‐Chung, et al.. (2013). Conversion Circuit Design for High Efficiency Bridgeless Interleaved Power Factor Correction. 3(2). 97–109. 2 indexed citations
9.
Chen, Ching-Liang, et al.. (2013). Applying smart models for energy saving in optimal chiller loading. Energy and Buildings. 68. 364–371. 91 indexed citations
10.
Hung, Shao‐Wen, et al.. (2012). Purification and Characterization of Hemagglutinating Proteins from Poker-Chip Venus (Meretrix lusoria) and Corbicula Clam (Corbicula fluminea). The Scientific World JOURNAL. 2012. 1–7. 5 indexed citations
11.
Chang, Yung‐Chung, et al.. (2009). Evaluation Of Chiller Power Consumption Using Grey Prediction. Zenodo (CERN European Organization for Nuclear Research). 3(5). 1303–1308. 2 indexed citations
12.
Chang, Yung‐Chung, et al.. (2009). Economic dispatch of chiller plant by gradient method for saving energy. Applied Energy. 87(4). 1096–1101. 62 indexed citations
13.
Chang, Yung‐Chung, et al.. (2008). Evolution strategy based optimal chiller loading for saving energy. Energy Conversion and Management. 50(1). 132–139. 48 indexed citations
14.
Chen, Hsin-Chen, et al.. (2008). Constraint graph-based macro placement for modern mixed-size circuit designs. 218–223. 5 indexed citations
15.
Chang, Yung‐Chung. (2007). Application of genetic algorithm to the optimal-chilled water supply temperature calculation of air-conditioning systems for saving energy. International Journal of Energy Research. 31(8). 796–810. 9 indexed citations
16.
Chang, Yung‐Chung, et al.. (2006). Simulated annealing based optimal chiller loading for saving energy. Energy Conversion and Management. 47(15-16). 2044–2058. 32 indexed citations
17.
Chang, Yung‐Chung. (2005). Sequencing of chillers by estimating chiller power consumption using artificial neural networks. Building and Environment. 42(1). 180–188. 39 indexed citations
18.
Chang, Yung‐Chung. (2005). Genetic algorithm based optimal chiller loading for energy conservation. Applied Thermal Engineering. 25(17-18). 2800–2815. 75 indexed citations
19.
Chang, Yung‐Chung, Lucy Sun Hwang, & Hung‐Min Chang. (1999). Effect of calcium and thrombin on the turbidity changes and the gelation properties of swine plasma. Food Research International. 32(8). 553–558. 5 indexed citations
20.
Chang, Yung‐Chung, et al.. (1992). On-line economic dispatch using a new loss coefficient formula. Electric Power Systems Research. 25(2). 131–136. 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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