Yu‐Chin Hsu

120 total papers · 905 total citations
51 papers, 476 citations indexed

About

Yu‐Chin Hsu is a scholar working on Statistics and Probability, Economics and Econometrics and Finance. According to data from OpenAlex, Yu‐Chin Hsu has authored 51 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 11 papers in Economics and Econometrics and 9 papers in Finance. Recurrent topics in Yu‐Chin Hsu's work include Statistical Methods and Inference (15 papers), Advanced Causal Inference Techniques (14 papers) and Financial Risk and Volatility Modeling (7 papers). Yu‐Chin Hsu is often cited by papers focused on Statistical Methods and Inference (15 papers), Advanced Causal Inference Techniques (14 papers) and Financial Risk and Volatility Modeling (7 papers). Yu‐Chin Hsu collaborates with scholars based in Taiwan, United States and Switzerland. Yu‐Chin Hsu's co-authors include Chung‐Ming Kuan, Po‐Hsuan Hsu, Robert P. Lieli, Shu Shen, Qingliang Fan, Stephen G. Donald, Chung‐Ta King, Ming-Yuan Hsieh, Ching‐Torng Lin and Garry F. Barrett and has published in prestigious journals such as Scientific Reports, The Review of Economics and Statistics and Journal of Econometrics.

In The Last Decade

Yu‐Chin Hsu

45 papers receiving 461 citations

Author Peers

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

Author						Papers	Cites
Yu‐Chin Hsu	161	145	117	109	57	51	476
Yang Li	135 0.8×	43 0.3×	52 0.4×	53 0.5×	30 0.5×	35	541
Elmira Popova	71 0.4×	90 0.6×	96 0.8×	117 1.1×	20 0.4×	41	470
Loukia Meligkotsidou	159 1.0×	167 1.2×	176 1.5×	76 0.7×	78 1.4×	35	504
Stefano Grassi	313 1.9×	172 1.2×	31 0.3×	108 1.0×	86 1.5×	49	480
Wolfgang Bühler	108 0.7×	210 1.4×	55 0.5×	44 0.4×	53 0.9×	61	414
Roger C. Pfaffenberger	97 0.6×	74 0.5×	159 1.4×	136 1.2×	25 0.4×	26	444
Christian Y. Robert	222 1.4×	251 1.7×	82 0.7×	170 1.6×	44 0.8×	61	491
Carlos Martins‐Filho	265 1.6×	92 0.6×	106 0.9×	144 1.3×	65 1.1×	35	464
Richard A. Brown	48 0.3×	45 0.3×	20 0.2×	37 0.3×	13 0.2×	54	489
Abderrahim Taamouti	256 1.6×	297 2.0×	103 0.9×	32 0.3×	115 2.0×	44	489

Countries citing papers authored by Yu‐Chin Hsu

Since Specialization

Citations

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

Fields of papers citing papers by Yu‐Chin Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Chin Hsu. 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 Yu‐Chin Hsu. The network helps show where Yu‐Chin Hsu may publish in the future.

Co-authorship network of co-authors of Yu‐Chin Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Chin Hsu. A scholar is included among the top collaborators of Yu‐Chin Hsu 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 Yu‐Chin Hsu. Yu‐Chin Hsu 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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