Li Dong
Impact in
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- Model Reduction and Neural Networks
- Computational Mechanics top 10%
- Fluid Dynamics and Turbulent Flows
- Computational Fluid Dynamics and Aerodynamics
- Combustion and flame dynamics
Papers in
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- Atmospheric aerosols and clouds 6
- Climate variability and models 2
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- Supply Chain and Inventory Management 4
- Co-authors
- Junhua Tan (1 shared paper)Kun Luo (1 shared paper)Jianren Fan (1 shared paper)Zhuo Wang (1 shared paper)Yue Huang (5 shared papers)Zhihao Song (3 shared papers)Bin Chen (2 shared papers)Anna Nagurney (4 shared papers)
- Journals
- Remote Sensing (2 papers)Atmosphere (2 papers)The Electronic Library (1 paper)Environmental Research (1 paper)Buildings (1 paper)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Li Dong
24 papers receiving 367 citations
Peers
Comparison fields: 5 of 64
- Statistical and Nonlinear Physics 96
- Computational Mechanics 108
- Atmospheric Science 55
- Environmental Engineering 43
- Global and Planetary Change 64
Countries citing papers authored by Li Dong
This map shows the geographic impact of Li Dong'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 Li Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Dong more than expected).
Fields of papers citing papers by Li Dong
This network shows the impact of papers produced by Li Dong. 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 Li Dong. The network helps show where Li Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Dong, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 155 | |
| 2 | 2021 | 29 | |
| 3 | 2021 | 26 | |
| 4 | 2022 | 20 | |
| 5 | 2021 | 19 | |
| 6 | 2017 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2014 | 15 | |
| 9 | 2024 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2017 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2011 | 1 |
About Li Dong
Li Dong is a scholar working on Global and Planetary Change, Management Information Systems, Atmospheric Science, Library and Information Sciences and Environmental Engineering, having authored 34 papers that have together received 377 indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (6 papers), Supply Chain and Inventory Management (4 papers), Atmospheric chemistry and aerosols (4 papers), Air Quality Monitoring and Forecasting (3 papers), Web and Library Services (2 papers), Climate variability and models (2 papers), Library Science and Administration (2 papers) and Engineering Education and Curriculum Development (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (96 citations), Computational Mechanics (108 citations), Atmospheric Science (55 citations), Environmental Engineering (43 citations) and Global and Planetary Change (64 citations). Li Dong has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Junhua Tan, Kun Luo, Jianren Fan, Zhuo Wang, Yue Huang, Zhihao Song, Bin Chen, Anna Nagurney, Rui Guan and Tingting Yang. Their work appears in journals such as Remote Sensing, Atmosphere, The Electronic Library, Environmental Research and Buildings.
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.