Guannan Zhang
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- Probabilistic and Robust Engineering Design 18
- Finance top 5%
- Stochastic processes and financial applications 8
- Numerical Analysis top 10%
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- Model Reduction and Neural Networks 12
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- Nuclear Physics and Applications 5
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- Recommender Systems and Techniques 5
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- Advanced Multi-Objective Optimization Algorithms 5
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- Advanced Numerical Methods in Computational Mathematics 5
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- Nanocluster Synthesis and Applications 4
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)Nano Letters (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Guannan Zhang
93 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 136
- Statistics, Probability and Uncertainty 249
- Finance 165
- Numerical Analysis 66
- Computational Mathematics 7
- Statistical and Nonlinear Physics 143
Countries citing papers authored by Guannan Zhang
This map shows the geographic impact of Guannan 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 Guannan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guannan Zhang more than expected).
Fields of papers citing papers by Guannan Zhang
This network shows the impact of papers produced by Guannan 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 Guannan Zhang. The network helps show where Guannan Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guannan Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 12 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 0 | |
| 16 | 2022 | 2 | |
| 17 | 2019 | 4 | |
| 18 | 2017 | 52 | |
| 19 | 2017 | 15 | |
| 20 | 2016 | 26 |
About Guannan Zhang
Guannan Zhang is a scholar working on Statistics, Probability and Uncertainty, Structural Biology and Statistical and Nonlinear Physics, having authored 106 papers that have together received 1.5k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (18 papers), Model Reduction and Neural Networks (12 papers), Stochastic processes and financial applications (8 papers), Nuclear Physics and Applications (5 papers), Recommender Systems and Techniques (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Advanced Numerical Methods in Computational Mathematics (5 papers) and Nanocluster Synthesis and Applications (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (249 citations), Finance (165 citations) and Numerical Analysis (66 citations). Guannan Zhang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Clayton Webster, Max Gunzburger, Aiguo Shen, Jiming Hu, Dan Lu, Weidong Zhao, Junrong Li, Lili Ju, Ming Ye and Hanyuan Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nano Letters.
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.