Dan Zhu

842 citations
84 papers · 525 indexed · h-index 12
Topics
Stochastic processes and financial applications (10 papers)Financial Risk and Volatility Modeling (10 papers)Monetary Policy and Economic Impact (9 papers)

In The Last Decade

Dan Zhu

75 papers receiving 512 citations

Peers

Dan Zhu
Comparison fields: 5 of 123
  • Surgery 70
  • Molecular Biology 65
  • Economics and Econometrics 57
  • Biomedical Engineering 53
  • Finance 49
Replace Weidong Huang with:
Weidong Huang China
Xu Zhao China
Michel Lamure France
Jie Hou China
Johannes Raffler Germany
Mujeeb Basit United States
Binayak Sinha India
Shashi Amur United States
Ljiljana Trtica Majnarić Croatia
Yong Mong Bee Singapore
Dan Zhu relative to Weidong Huang China Weidong Huang's profile →
Citations per field
00.5×4.4×
Weidong Huang · 1×
Citations per year

Countries citing papers authored by Dan Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Zhu. A scholar is included among the top collaborators of Dan Zhu 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 Dan Zhu. Dan Zhu 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 9
3 4
4 1
5 1
6 1
7 1
8 1
9 9
10 3
11 0
12 4
13 4
14
Effect of baihu ginseng decoction on treatment of type 2 diabetes
1
15
Association of probiotics and bone mineral density in Chinese patients with type 2 diabetes
3
16
[Multivariate factors analysis on length of stay in Lushan earthquake victims].
1
17
Influence of Cataract Phacoemulsification on Corneal Endothelial Cells in Diabetes
2
18 1
19 10
20 3

About Dan Zhu

Dan Zhu is a scholar working on Finance, Statistics and Probability and General Economics, Econometrics and Finance, having authored 84 papers that have together received 525 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (10 papers), Financial Risk and Volatility Modeling (10 papers) and Monetary Policy and Economic Impact (9 papers). The work is most often cited by research in Biological Psychiatry (22 citations), Modeling and Simulation (28 citations) and Complementary and alternative medicine (49 citations). Dan Zhu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Wei Wei, Tatsushi Oka, Mark S. Joshi, Yang Zhang, Weijing Qu, Jiesi Wang, Xinglei Zhu, Wen Zhang, Kejun Hou and Juan Yuan. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and The Journal of Clinical Endocrinology & Metabolism.

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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