Ling Zhu
- Neurology top 2%
- Neurology top 10%
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- Advanced Combustion Engine Technologies 4
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- Advanced Multi-Objective Optimization Algorithms 11
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- Optimal Experimental Design Methods 5
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- Probabilistic and Robust Engineering Design 4
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- Power System Reliability and Maintenance 3
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- Turbomachinery Performance and Optimization 3
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- Tropical and Extratropical Cyclones Research 3
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- Advanced Nanomaterials in Catalysis 2
- Co-authors
- Tuo YangRichard F. KeepXiaoyan JiangMichael V. L. BennettYejie ShiAnuska V. AndjelkovicJun ChenYan Wang
- Journals
- ACS Applied Materials & Interfaces (2 papers)Applied Energy (1 paper)Progress in Neurobiology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ling Zhu
38 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Neurology 427
- Neurology 125
- Fluid Flow and Transfer Processes 40
- Developmental Neuroscience 25
- Cancer Research 89
Countries citing papers authored by Ling Zhu
This map shows the geographic impact of Ling 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 Ling Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Zhu more than expected).
Fields of papers citing papers by Ling Zhu
This network shows the impact of papers produced by Ling 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 Ling Zhu. The network helps show where Ling Zhu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ling Zhu, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 31 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 8 | |
| 13 | 2019 | 4 | |
| 14 | 2019 | 7 | |
| 15 | 2018 | 1 | |
| 16 | Blood-brain barrier dysfunction and recovery after ischemic strokebreakdown → | 2017 | 697 |
| 17 | 2015 | 17 | |
| 18 | 2014 | 15 | |
| 19 | Radiological and clinical features of peripheral keratocystic odontogenic tumor. | 2014 | 15 |
| 20 | 2012 | 0 |
About Ling Zhu
Ling Zhu is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Fluid Flow and Transfer Processes, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (11 papers), Optimal Experimental Design Methods (5 papers), Probabilistic and Robust Engineering Design (4 papers), Advanced Combustion Engine Technologies (4 papers), Power System Reliability and Maintenance (3 papers), Turbomachinery Performance and Optimization (3 papers), Tropical and Extratropical Cyclones Research (3 papers) and Advanced Nanomaterials in Catalysis (2 papers). The work is most often cited by research in Neurology (427 citations), Neurology (125 citations) and Fluid Flow and Transfer Processes (40 citations). Ling Zhu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Tuo Yang, Richard F. Keep, Xiaoyan Jiang, Michael V. L. Bennett, Yejie Shi, Anuska V. Andjelkovic, Jun Chen, Yan Wang, Guoming Zhu and Yong Huang. Their work appears in journals such as ACS Applied Materials & Interfaces, Applied Energy and Progress in Neurobiology.
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.