Jui-Fang Chang

53 total papers · 516 total citations
32 papers, 357 citations indexed

About

Jui-Fang Chang is a scholar working on Management Science and Operations Research, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Jui-Fang Chang has authored 32 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Management Science and Operations Research, 11 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Jui-Fang Chang's work include Stock Market Forecasting Methods (15 papers), Energy Load and Power Forecasting (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Jui-Fang Chang is often cited by papers focused on Stock Market Forecasting Methods (15 papers), Energy Load and Power Forecasting (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Jui-Fang Chang collaborates with scholars based in Taiwan, China and Australia. Jui-Fang Chang's co-authors include Jeng‐Shyang Pan, John F. Roddick, Shu‐Chuan Chu, Peng Shi, Tien-Chin Wang, Yueh‐Min Huang, Cheng-Fa Tsai, Ning-Han Liu, Chia‐Nan Wang and Shu‐Chen Peng and has published in prestigious journals such as Information Sciences, Applied Intelligence and Electronic Commerce Research.

In The Last Decade

Jui-Fang Chang

29 papers receiving 332 citations

Author Peers

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

Author Last Decade Papers Cites
Jui-Fang Chang 200 100 76 61 52 32 357
Marek Petrik 215 1.1× 96 1.0× 58 0.8× 27 0.4× 53 1.0× 43 367
Claus Aranha 178 0.9× 102 1.0× 92 1.2× 30 0.5× 25 0.5× 38 342
Xin Zhang 115 0.6× 38 0.4× 32 0.4× 41 0.7× 39 0.8× 42 389
Héctor J. Fraire-Huacuja 149 0.7× 44 0.4× 82 1.1× 23 0.4× 32 0.6× 30 362
Ravi Varadarajan 66 0.3× 39 0.4× 40 0.5× 90 1.5× 29 0.6× 30 295
Zhenda Hu 132 0.7× 73 0.7× 35 0.5× 96 1.6× 36 0.7× 28 310
Nilotpal Chakravarti 83 0.4× 51 0.5× 79 1.0× 19 0.3× 58 1.1× 16 379
Filip Rudziński 209 1.0× 31 0.3× 34 0.4× 31 0.5× 30 0.6× 24 309
B.W. Schmeiser 97 0.5× 145 1.4× 29 0.4× 25 0.4× 37 0.7× 17 359
Pepa Ramírez‐Cobo 119 0.6× 86 0.9× 22 0.3× 19 0.3× 21 0.4× 33 387

Countries citing papers authored by Jui-Fang Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jui-Fang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jui-Fang Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jui-Fang Chang. A scholar is included among the top collaborators of Jui-Fang 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 Jui-Fang Chang. Jui-Fang 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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