Danna Zhang

37 total papers · 412 total citations
20 papers, 214 citations indexed

About

Danna Zhang is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Danna Zhang has authored 20 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 6 papers in Finance and 4 papers in Artificial Intelligence. Recurrent topics in Danna Zhang's work include Statistical Methods and Inference (6 papers), Financial Risk and Volatility Modeling (6 papers) and Bayesian Methods and Mixture Models (3 papers). Danna Zhang is often cited by papers focused on Statistical Methods and Inference (6 papers), Financial Risk and Volatility Modeling (6 papers) and Bayesian Methods and Mixture Models (3 papers). Danna Zhang collaborates with scholars based in China, United States and Hong Kong. Danna Zhang's co-authors include Wei Biao Wu, Geetha Raghuveer, Jie Chen, Terence Tai‐Leung Chong, Ao Liu, Dan Yan, Jun Wang, Fukai Shan, Yanan Ding and Lili Lu and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

Danna Zhang

18 papers receiving 210 citations

Author Peers

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

Author Last Decade Papers Cites
Danna Zhang 74 53 42 35 21 20 214
Juan Carlos Pardo–Fernández 147 2.0× 28 0.5× 17 0.4× 40 1.1× 11 0.5× 23 320
John Pemberton 22 0.3× 18 0.3× 4 0.1× 33 0.9× 16 0.8× 23 300
Ruoxuan Xiong 51 0.7× 18 0.3× 20 0.5× 44 1.3× 15 0.7× 24 287
Yanghui Liu 44 0.6× 98 1.8× 34 0.8× 32 0.9× 3 0.1× 25 265
Ben Sherwood 149 2.0× 14 0.3× 2 0.0× 79 2.3× 11 0.5× 17 329
Dietmar Ferger 188 2.5× 51 1.0× 7 0.2× 19 0.5× 3 0.1× 42 274
Maria Kalli 163 2.2× 88 1.7× 3 0.1× 63 1.8× 26 1.2× 12 329
Simona Sanfelici 27 0.4× 249 4.7× 9 0.2× 133 3.8× 22 1.0× 36 300
Niels Væver Hartvig 7 0.1× 18 0.3× 7 0.2× 16 0.5× 4 0.2× 21 263
Jyoti Zalkikar 207 2.8× 7 0.1× 11 0.3× 30 0.9× 1 0.0× 29 330

Countries citing papers authored by Danna Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Danna Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danna Zhang

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