Che-Jung Chang

36 total papers · 862 total citations
35 papers, 734 citations indexed

About

Che-Jung Chang is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Che-Jung Chang has authored 35 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Management Science and Operations Research, 9 papers in Electrical and Electronic Engineering and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Che-Jung Chang's work include Grey System Theory Applications (24 papers), Forecasting Techniques and Applications (9 papers) and Energy Load and Power Forecasting (7 papers). Che-Jung Chang is often cited by papers focused on Grey System Theory Applications (24 papers), Forecasting Techniques and Applications (9 papers) and Energy Load and Power Forecasting (7 papers). Che-Jung Chang collaborates with scholars based in Taiwan and China. Che-Jung Chang's co-authors include Der‐Chiang Li, Chien-Chih Chen, Chien-Chih Chen, Chia-Sheng Chen, Peng Jin, Wenli Dai, Shih‐Ying Chen, Yijie Chen, Yung‐Chiang Lan and Tsuey-Pin Lin and has published in prestigious journals such as Optics Letters, Expert Systems with Applications and Molecules.

In The Last Decade

Che-Jung Chang

34 papers receiving 719 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Che-Jung Chang 444 255 122 62 53 35 734
Sibarama Panigrahi 282 0.6× 231 0.9× 151 1.2× 69 1.1× 85 1.6× 42 645
Hongze Li 126 0.3× 316 1.2× 181 1.5× 81 1.3× 51 1.0× 19 669
Ömer Faruk Beyca 197 0.4× 288 1.1× 120 1.0× 87 1.4× 100 1.9× 24 808
B. Kermanshahi 279 0.6× 488 1.9× 184 1.5× 104 1.7× 112 2.1× 29 751
Sheng-Xiang Lv 201 0.5× 405 1.6× 247 2.0× 50 0.8× 90 1.7× 14 683
Tao Xiong 280 0.6× 296 1.2× 246 2.0× 109 1.8× 88 1.7× 17 841
Pan Wang 269 0.6× 156 0.6× 133 1.1× 20 0.3× 85 1.6× 26 686
João Fausto Lorenzato de Oliveira 243 0.5× 313 1.2× 218 1.8× 52 0.8× 50 0.9× 44 666
Pei Du 397 0.9× 557 2.2× 198 1.6× 44 0.7× 163 3.1× 36 887
Ismail Shah 242 0.5× 408 1.6× 98 0.8× 47 0.8× 113 2.1× 73 852

Countries citing papers authored by Che-Jung Chang

Since Specialization
Citations

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

Fields of papers citing papers by Che-Jung Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Che-Jung 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 Che-Jung Chang. The network helps show where Che-Jung Chang may publish in the future.

Co-authorship network of co-authors of Che-Jung Chang

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

All Works

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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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2026