Zhonghua Lu
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Automotive Engineering top 10%
Papers in
-
- Distributed and Parallel Computing Systems 9
- Co-authors
- Lansun Chen (5 shared papers)Xuebin Chi (12 shared papers)Liquan Chen (4 shared papers)Cam Macdonell (2 shared papers)Duane Szafron (2 shared papers)Russell Greiner (2 shared papers)Roman Eisner (2 shared papers)David S. Wishart (2 shared papers)
- Journals
- Applied Sciences (4 papers)Simulation Modelling Practice and Theory (2 papers)Genomics Proteomics & Bioinformatics (2 papers)Journal of Power Sources (2 papers)Linear Algebra and its Applications (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zhonghua Lu
92 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 151
- Modeling and Simulation 125
- Automotive Engineering 98
- Public Health, Environmental and Occupational Health 186
- Computer Vision and Pattern Recognition 115
- Human-Computer Interaction 30
Countries citing papers authored by Zhonghua Lu
This map shows the geographic impact of Zhonghua Lu'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 Zhonghua Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhonghua Lu more than expected).
Fields of papers citing papers by Zhonghua Lu
This network shows the impact of papers produced by Zhonghua Lu. 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 Zhonghua Lu. The network helps show where Zhonghua Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhonghua Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 276 | |
| 2 | 2002 | 124 | |
| 3 | 1997 | 74 | |
| 4 | 2019 | 67 | |
| 5 | 2009 | 66 | |
| 6 | 2003 | 65 | |
| 7 | 1997 | 59 | |
| 8 | 2020 | 40 | |
| 9 | 1997 | 39 | |
| 10 | 2019 | 32 | |
| 11 | 1999 | 32 | |
| 12 | 2003 | 31 | |
| 13 | 2020 | 29 | |
| 14 | 2006 | 18 | |
| 15 | 2022 | 16 | |
| 16 | 2013 | 16 | |
| 17 | 2010 | 15 | |
| 18 | 2011 | 12 | |
| 19 | 2023 | 10 | |
| 20 | 2019 | 10 |
About Zhonghua Lu
Zhonghua Lu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science and Computational Mechanics, having authored 98 papers that have together received 1.3k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (9 papers), Risk and Portfolio Optimization (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Cloud Computing and Resource Management (6 papers), Stochastic processes and financial applications (6 papers), Greenhouse Technology and Climate Control (6 papers), Advanced Numerical Methods in Computational Mathematics (4 papers) and Matrix Theory and Algorithms (4 papers). The work is most often cited by research in Modeling and Simulation (125 citations), Automotive Engineering (98 citations), Public Health, Environmental and Occupational Health (186 citations), Computer Vision and Pattern Recognition (115 citations) and Human-Computer Interaction (30 citations). Zhonghua Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lansun Chen, Xuebin Chi, Liquan Chen, Cam Macdonell, Duane Szafron, Russell Greiner, Roman Eisner, David S. Wishart, Brett Poulin and P. Lu. Their work appears in journals such as Applied Sciences, Simulation Modelling Practice and Theory, Genomics Proteomics & Bioinformatics, Journal of Power Sources and Linear Algebra and its Applications.
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.