Leng Ling

20 papers and 364 indexed citations i.

About

Leng Ling is a scholar working on Finance, Accounting and Economics and Econometrics. According to data from OpenAlex, Leng Ling has authored 20 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Finance, 12 papers in Accounting and 5 papers in Economics and Econometrics. Recurrent topics in Leng Ling’s work include Financial Markets and Investment Strategies (12 papers), Corporate Finance and Governance (11 papers) and Financial Literacy, Pension, Retirement Analysis (3 papers). Leng Ling is often cited by papers focused on Financial Markets and Investment Strategies (12 papers), Corporate Finance and Governance (11 papers) and Financial Literacy, Pension, Retirement Analysis (3 papers). Leng Ling collaborates with scholars based in United States, China and Germany. Leng Ling's co-authors include Vikas Agarwal, Gerald D. Gay, Quanxi Liang, Pingping Song, Danglun Luo, Haiming Liu, David A. Rakowski, Jason Greene, Hongfeng Peng and Conrad S. Ciccotello and has published in prestigious journals such as Review of Financial Studies, Journal of Economic Behavior & Organization and Finance research letters.

In The Last Decade

Co-authorship network of co-authors of Leng Ling i

Fields of papers citing papers by Leng Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leng Ling

Since Specialization
Citations

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

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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