Chia-Hsuan Yeh

64 total papers · 906 total citations
26 papers, 493 citations indexed

About

Chia-Hsuan Yeh is a scholar working on Economics and Econometrics, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Chia-Hsuan Yeh has authored 26 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Economics and Econometrics, 14 papers in Management Science and Operations Research and 9 papers in Artificial Intelligence. Recurrent topics in Chia-Hsuan Yeh's work include Complex Systems and Time Series Analysis (20 papers), Stock Market Forecasting Methods (13 papers) and Evolutionary Algorithms and Applications (9 papers). Chia-Hsuan Yeh is often cited by papers focused on Complex Systems and Time Series Analysis (20 papers), Stock Market Forecasting Methods (13 papers) and Evolutionary Algorithms and Applications (9 papers). Chia-Hsuan Yeh collaborates with scholars based in Taiwan, United States and United Kingdom. Chia-Hsuan Yeh's co-authors include Shu‐Heng Chen, John Duffy, Sheng Chen and Chin-Tzong Pang and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Journal of Economic Behavior & Organization and Journal of Economic Dynamics and Control.

In The Last Decade

Chia-Hsuan Yeh

21 papers receiving 446 citations

Author Peers

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

Author						Papers	Cites
Chia-Hsuan Yeh	393	280	196	84	27	26	493
Sebastiano Manzan	362 0.9×	220 0.8×	119 0.6×	82 1.0×	25 0.9×	36	543
Edward O. Thorp	171 0.4×	177 0.6×	107 0.5×	72 0.9×	26 1.0×	39	505
Rida Laraki	298 0.8×	98 0.3×	260 1.3×	76 0.9×	44 1.6×	40	545
Sander van der Hoog	378 1.0×	116 0.4×	83 0.4×	31 0.4×	32 1.2×	30	518
Heraklis Polemarchakis	347 0.9×	132 0.5×	177 0.9×	48 0.6×	24 0.9×	12	498
Peter Zadrozny	268 0.7×	123 0.4×	54 0.3×	44 0.5×	13 0.5×	35	467
Christian Y. Robert	222 0.6×	251 0.9×	170 0.9×	43 0.5×	9 0.3×	61	491
Yiling Chen	333 0.8×	101 0.4×	248 1.3×	69 0.8×	23 0.9×	44	505
Piotr Dworczak	177 0.5×	86 0.3×	246 1.3×	23 0.3×	28 1.0×	31	456
Abdol S. Soofi	293 0.7×	128 0.5×	145 0.7×	45 0.5×	14 0.5×	30	545

Countries citing papers authored by Chia-Hsuan Yeh

Since Specialization

Citations

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

Fields of papers citing papers by Chia-Hsuan Yeh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Hsuan Yeh. 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 Chia-Hsuan Yeh. The network helps show where Chia-Hsuan Yeh may publish in the future.

Co-authorship network of co-authors of Chia-Hsuan Yeh

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Hsuan Yeh. A scholar is included among the top collaborators of Chia-Hsuan Yeh 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 Chia-Hsuan Yeh. Chia-Hsuan Yeh 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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