Lan Zhou

1.9k citations
63 papers · 1.3k · h-index 19

Impact in

Papers in

Lan Zhou

59 papers receiving 1.3k citations

Peers

Lan Zhou
Comparison fields: 5 of 160
  • Statistics and Probability 137
  • Information Systems 247
  • Artificial Intelligence 331
  • Computational Mathematics 6
  • Computer Vision and Pattern Recognition 123
Replace Stefan Bleuler with:
Stefan Bleuler Switzerland
Philip Zimmermann Switzerland
Simon Rogers United Kingdom
José Camacho Spain
Hyejin Shin South Korea
Julie Dickerson United States
Maozu Guo China
Kevin Y. Yip Hong Kong
Philippe Besse France
Sara C. Madeira Portugal
Lan Zhou relative to Stefan Bleuler Switzerland Stefan Bleuler's profile →
Citations per field
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Stefan Bleuler · 1×
Citations per year

Countries citing papers authored by Lan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Lan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lan Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lan Zhou Line = papers co-authored together Lan Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014171
2 2013144
3
Sparse Linear Discriminant Analysis with Applications to High Dimensional Low Sample Size Data
200977
4 201576
5 201463
6 201062
7 201561
8 201156
9 201155
10 200654
11 199746
12 200745
13
Networks and variational inequalities in the formulation and computation of market disequilibria: the case of direct demand functions
199325
14 202025
15 200723
16 201922
17 201422
18 200718
19 200918
20 201317

About Lan Zhou

Lan Zhou is a scholar working on Artificial Intelligence, Information Systems, Statistics and Probability, Computer Networks and Communications and Molecular Biology, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Cryptography and Data Security (10 papers), Cloud Data Security Solutions (9 papers), Access Control and Trust (6 papers), Privacy-Preserving Technologies in Data (5 papers), Advanced Statistical Methods and Models (4 papers), Fatty Acid Research and Health (4 papers) and Telecommunications and Broadcasting Technologies (4 papers). The work is most often cited by research in Statistics and Probability (137 citations), Information Systems (247 citations), Artificial Intelligence (331 citations), Computational Mathematics (6 citations) and Computer Vision and Pattern Recognition (123 citations). Lan Zhou has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Vijay Varadharajan, Michael Hitchens, Raymond J. Carroll, Jianhua Z. Huang, Houssein Assaad, Guoyao Wu, Yongqing Hou, Robert S. Chapkin, Anna Nagurney and David N. McMurray. Their work appears in journals such as Journal of Nutrition, IEEE Transactions on Information Forensics and Security, SpringerPlus, Journal of the American Statistical Association and The Computer Journal.

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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