An‐Pin Chen

About

An‐Pin Chen is a scholar working on Management Science and Operations Research, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, An‐Pin Chen has authored 43 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 18 papers in Economics and Econometrics and 16 papers in Artificial Intelligence. Recurrent topics in An‐Pin Chen’s work include Stock Market Forecasting Methods (21 papers), Complex Systems and Time Series Analysis (12 papers) and Evolutionary Algorithms and Applications (7 papers). An‐Pin Chen is often cited by papers focused on Stock Market Forecasting Methods (21 papers), Complex Systems and Time Series Analysis (12 papers) and Evolutionary Algorithms and Applications (7 papers). An‐Pin Chen collaborates with scholars based in Taiwan and United States. An‐Pin Chen's co-authors include Mu‐Yen Chen, Chang-Chun Lin, Chia‐Chen Chen, Yu‐Chia Hsu, Yi-Chun Kuo, Mei‐Chih Chen, Chien‐Hua Huang, Son‐Nan Chen, Mei-Chih Chen and Szu-Hao Huang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Fuzzy Sets and Systems.

In The Last Decade

Co-authorship network of co-authors of An‐Pin Chen i

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Fields of papers citing papers by An‐Pin Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by An‐Pin Chen. 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 An‐Pin Chen. The network helps show where An‐Pin Chen may publish in the future.

Countries citing papers authored by An‐Pin Chen

Since Specialization

Citations

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

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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