Shih En Lu

23 total papers · 481 total citations
12 papers, 229 citations indexed

About

Shih En Lu is a scholar working on Management Science and Operations Research, Economics and Econometrics and Health. According to data from OpenAlex, Shih En Lu has authored 12 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Management Science and Operations Research, 5 papers in Economics and Econometrics and 3 papers in Health. Recurrent topics in Shih En Lu's work include Game Theory and Applications (5 papers), Experimental Behavioral Economics Studies (3 papers) and Vaccine Coverage and Hesitancy (3 papers). Shih En Lu is often cited by papers focused on Game Theory and Applications (5 papers), Experimental Behavioral Economics Studies (3 papers) and Vaccine Coverage and Hesitancy (3 papers). Shih En Lu collaborates with scholars based in Canada, United States and Japan. Shih En Lu's co-authors include Alexander Karaivanov, Hitoshi Shigeoka, Attila Ambrus, Dongwoo Kim, Cong Chen and Douglas W. Allen and has published in prestigious journals such as Journal of Economic Theory, Journal of Health Economics and Economics Letters.

In The Last Decade

Shih En Lu

11 papers receiving 225 citations

Author Peers

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

Author Last Decade Papers Cites
Shih En Lu 91 89 79 43 42 12 229
Miquel Oliu‐Barton 106 1.2× 109 1.2× 73 0.9× 50 1.2× 75 1.8× 20 274
Nicolas Banholzer 63 0.7× 155 1.7× 26 0.3× 12 0.3× 68 1.6× 23 258
Jongkol Lertiendumrong 105 1.2× 33 0.4× 27 0.3× 27 0.6× 43 1.0× 11 311
Koen Pepermans 34 0.4× 52 0.6× 55 0.7× 4 0.1× 42 1.0× 14 274
Remy Pasco 72 0.8× 166 1.9× 31 0.4× 19 0.4× 70 1.7× 12 255
Katherine Morris 38 0.4× 79 0.9× 107 1.4× 5 0.1× 40 1.0× 9 282
Darren Hunt 31 0.3× 68 0.8× 77 1.0× 5 0.1× 37 0.9× 11 317
Danielle Pedi 32 0.4× 106 1.2× 25 0.3× 7 0.2× 60 1.4× 10 252
Shiro Kuriwaki 44 0.5× 36 0.4× 43 0.5× 9 0.2× 19 0.5× 16 297
Lars Seemann 40 0.4× 45 0.5× 44 0.6× 25 0.6× 34 0.8× 10 279

Countries citing papers authored by Shih En Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shih En Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih En Lu. 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 Shih En Lu. The network helps show where Shih En Lu may publish in the future.

Co-authorship network of co-authors of Shih En Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Shih En Lu. A scholar is included among the top collaborators of Shih En Lu 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 Shih En Lu. Shih En Lu 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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2026