Yang Ni

63 papers and 1.2k indexed citations i.

About

Yang Ni is a scholar working on Artificial Intelligence, Accounting and Finance. According to data from OpenAlex, Yang Ni has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 17 papers in Accounting and 15 papers in Finance. Recurrent topics in Yang Ni’s work include Corporate Finance and Governance (16 papers), Financial Markets and Investment Strategies (14 papers) and Bayesian Methods and Mixture Models (10 papers). Yang Ni is often cited by papers focused on Corporate Finance and Governance (16 papers), Financial Markets and Investment Strategies (14 papers) and Bayesian Methods and Mixture Models (10 papers). Yang Ni collaborates with scholars based in United States, China and Canada. Yang Ni's co-authors include Jordan W. Smoller, Yen‐Chen Anne Feng, Tian Ge, Chia‐Yen Chen, Samir Saadi, Omrane Guedhami, Jeffrey Pittman, Sadok El Ghoul, Veerabhadran Baladandayuthapani and Francesco C. Stingo and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Co-authorship network of co-authors of Yang Ni i

Fields of papers citing papers by Yang Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yang Ni

Since Specialization
Citations

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