Hua Zhou

3.3k citations
105 papers · 2.0k indexed · h-index 22
Topics
Genetic Associations and Epidemiology (21 papers)Statistical Methods and Inference (20 papers)Sparse and Compressive Sensing Techniques (15 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationBioinformatics

In The Last Decade

Hua Zhou

98 papers receiving 1.9k citations

Peers

Hua Zhou
Comparison fields: 5 of 173
  • Molecular Biology 515
  • Genetics 398
  • Artificial Intelligence 282
  • Computational Mathematics 279
  • Statistics and Probability 270
Replace Anru R. Zhang with:
Anru R. Zhang United States
Thomas Sauer United States
H. V. Henderson New Zealand
Rahul Mazumder United States
Annie Qu United States
Weichuan Yu Hong Kong
Guang Cheng United States
Yang Feng United States
Laurent Jacob France
Jie Peng China
Hua Zhou relative to Anru R. Zhang United States Anru R. Zhang's profile →
Citations per field
00.5×3.9×
Anru R. Zhang · 1×
Citations per year

Countries citing papers authored by Hua Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Hua Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Zhou. A scholar is included among the top collaborators of Hua Zhou 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 Hua Zhou. Hua Zhou 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 0
2 0
3 2
4 0
5 1
6 2
7 4
8 0
9
Acylcarnitines: Can They Be Biomarkers of Diabetic Nephropathy?
11
10 6
11 4
12 10
13 3
14 17
15 203
16 11
17 46
18 12
19 29
20 12

About Hua Zhou

Hua Zhou is a scholar working on Computational Mathematics, Statistics and Probability and Numerical Analysis, having authored 105 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (21 papers), Statistical Methods and Inference (20 papers) and Sparse and Compressive Sensing Techniques (15 papers). The work is most often cited by research in Computational Mathematics (279 citations), Statistics and Probability (270 citations) and Genetics (398 citations). Hua Zhou has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Kenneth Lange, Lexin Li, Hongtu Zhu, Jin Zhou, Janet S. Sinsheimer, David H. Alexander, C. Eric, Mary E. Sehl, Juhyun Kim and Eric M. Sobel. Their work appears in journals such as SHILAP Revista de lepidopterología, 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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