Chin‐Wei Yang

28 total papers · 1.3k total citations
17 papers, 929 citations indexed

About

Chin‐Wei Yang is a scholar working on Economics and Econometrics, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, Chin‐Wei Yang has authored 17 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Economics and Econometrics, 5 papers in Finance and 3 papers in General Economics, Econometrics and Finance. Recurrent topics in Chin‐Wei Yang's work include Market Dynamics and Volatility (4 papers), Economics of Agriculture and Food Markets (3 papers) and Economic and Environmental Valuation (3 papers). Chin‐Wei Yang is often cited by papers focused on Market Dynamics and Volatility (4 papers), Economics of Agriculture and Food Markets (3 papers) and Economic and Environmental Valuation (3 papers). Chin‐Wei Yang collaborates with scholars based in United States and Taiwan. Chin‐Wei Yang's co-authors include Clive W. J. Granger, Bwo‐Nung Huang, Feng‐Chun Tsai, Chang‐Chyi Jenq, Chan‐Yu Lin, Yung‐Chang Chen, Ya‐Chung Tian, Ji‐Tseng Fang, Walter C. Labys and Hui-Chih Wang and has published in prestigious journals such as Energy Economics, Nephrology Dialysis Transplantation and Resuscitation.

In The Last Decade

Chin‐Wei Yang

16 papers receiving 798 citations

Hit Papers

A bivariate causality bet... 2000 2026 2008 2017 2000 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Chin‐Wei Yang 630 416 409 88 84 17 929
Ankur Khandelwal 565 0.9× 692 1.7× 74 0.2× 9 0.1× 48 0.6× 58 1.0k
Sidney Alexander 204 0.3× 198 0.5× 124 0.3× 5 0.1× 23 0.3× 47 814
James A. Hanson 190 0.3× 184 0.4× 168 0.4× 3 0.0× 62 0.7× 50 812
Richard A. Ajayi 640 1.0× 423 1.0× 456 1.1× 107 1.3× 34 1.0k
Miguel Gouveia 565 0.9× 35 0.1× 58 0.1× 4 0.0× 189 2.3× 68 1.2k
Paul Cook 164 0.3× 70 0.2× 19 0.0× 12 0.1× 46 0.5× 48 967
Robert M. de Jong 477 0.8× 398 1.0× 471 1.2× 11 0.1× 37 961
Kenneth E. Scott 179 0.3× 32 0.1× 233 0.6× 7 0.1× 194 2.3× 46 1.0k
Beth Anne Wilson 501 0.8× 417 1.0× 219 0.5× 38 0.5× 52 886
Bill Nixon 421 0.7× 162 0.4× 53 0.1× 120 1.4× 17 990

Countries citing papers authored by Chin‐Wei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Wei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chin‐Wei Yang

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