Linghui Tang

31 total papers · 934 total citations
21 papers, 667 citations indexed

About

Linghui Tang is a scholar working on Economics and Econometrics, Strategy and Management and General Economics, Econometrics and Finance. According to data from OpenAlex, Linghui Tang has authored 21 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Economics and Econometrics, 8 papers in Strategy and Management and 6 papers in General Economics, Econometrics and Finance. Recurrent topics in Linghui Tang's work include International Business and FDI (5 papers), Global trade and economics (5 papers) and Corporate Finance and Governance (4 papers). Linghui Tang is often cited by papers focused on International Business and FDI (5 papers), Global trade and economics (5 papers) and Corporate Finance and Governance (4 papers). Linghui Tang collaborates with scholars based in United States. Linghui Tang's co-authors include Peter Koveos, Shawkat Hammoudeh, Len J. Treviño, Brian Fitzsimons, Matthew B. Greenblatt and Gaosheng Zhang and has published in prestigious journals such as Journal of International Business Studies, Energy Economics and Economics Letters.

In The Last Decade

Linghui Tang

20 papers receiving 616 citations

Author Peers

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

Author Last Decade Papers Cites
Linghui Tang 222 159 156 156 113 21 667
Peter Koveos 351 1.6× 149 0.9× 91 0.6× 245 1.6× 94 0.8× 43 788
Naveed Iqbal Chaudhry 182 0.8× 243 1.5× 107 0.7× 107 0.7× 69 0.6× 41 775
Mark Zachary Taylor 233 1.0× 158 1.0× 149 1.0× 65 0.4× 44 0.4× 20 683
James P. Neelankavil 93 0.4× 184 1.2× 167 1.1× 121 0.8× 40 0.4× 28 764
Behrooz Gharleghi 198 0.9× 124 0.8× 135 0.9× 118 0.8× 58 0.5× 49 634
Reavis Cox 274 1.2× 84 0.5× 80 0.5× 144 0.9× 55 0.5× 17 656
Nejat Çapar 140 0.6× 458 2.9× 70 0.4× 257 1.6× 89 0.8× 15 702
Kalanit Efrat 211 1.0× 373 2.3× 105 0.7× 104 0.7× 32 0.3× 30 689
Francesca Masciarelli 245 1.1× 290 1.8× 158 1.0× 128 0.8× 33 0.3× 29 718
Albena Pergelova 152 0.7× 225 1.4× 120 0.8× 133 0.9× 28 0.2× 27 654

Countries citing papers authored by Linghui Tang

Since Specialization
Citations

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

Fields of papers citing papers by Linghui Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linghui Tang. 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 Linghui Tang. The network helps show where Linghui Tang may publish in the future.

Co-authorship network of co-authors of Linghui Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Linghui Tang. A scholar is included among the top collaborators of Linghui Tang 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 Linghui Tang. Linghui Tang 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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