Yang Ni

3.2k citations
74 papers · 1.4k indexed · 1 hit paper · h-index 13
Topics
Corporate Finance and Governance (15 papers)Gene expression and cancer classification (13 papers)Financial Markets and Investment Strategies (13 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Yang Ni

60 papers receiving 1.4k citations

Hit Papers

Polygenic prediction via Bayesian regression and continuo...20192026202120232019250500750

Peers

Yang Ni
Comparison fields: 5 of 140
  • Genetics 510
  • Accounting 257
  • Molecular Biology 255
  • Artificial Intelligence 120
  • Statistics and Probability 114
Replace José M. Pavía with:
José M. Pavía Spain
Carl Johan Sundberg Sweden
Hyunseung Kang United States
Shun‐Chiao Chang United States
David Saunders United States
Rahul Parsa United States
Stefano Young United States
A. R. Jonckheere United Kingdom
William J. Jenkins United States
M Mezzetti Italy
Yang Ni relative to José M. Pavía Spain José M. Pavía's profile →
Citations per field
00.5×9.4×
José M. Pavía · 1×
Citations per year

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).

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.

Co-authorship network of co-authors of Yang Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Ni. A scholar is included among the top collaborators of Yang Ni 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 Yang Ni. Yang Ni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
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5 0
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8 0
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12 14
13 16
14 8
15 5
16
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks
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17 8
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19 4
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Does Religion Matter to Equity Pricing
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About Yang Ni

Yang Ni is a scholar working on Statistics and Probability, Computational Mathematics and Accounting, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Corporate Finance and Governance (15 papers), Gene expression and cancer classification (13 papers) and Financial Markets and Investment Strategies (13 papers). The work is most often cited by research in Accounting (257 citations), Genetics (510 citations) and Statistics and Probability (114 citations). Yang Ni has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Tian Ge, Chia‐Yen Chen, Jordan W. Smoller, Yen‐Chen Anne Feng, Jeffrey Pittman, Samir Saadi, Omrane Guedhami, Sadok El Ghoul, Veerabhadran Baladandayuthapani and Francesco C. Stingo. Their work appears in journals such as Nature Communications, Journal of the American Statistical Association and Bioinformatics.

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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