Ke Guo
Impact in
- Computational Mathematics top 10%
- Ecological Modeling top 5%
- Species Distribution and Climate Change
Papers in
-
- Remote-Sensing Image Classification 13
- Co-authors
- Dongdong Xu (12 shared papers)Guang-Xin Huang (6 shared papers)Sheng Du (4 shared papers)Wanbiao Ma (20 shared papers)Jianchun Bao (7 shared papers)Dongping Fan (7 shared papers)Guoqing Li (4 shared papers)Yafei Li (5 shared papers)
- Journals
- Applied Mathematics Letters (6 papers)Journal of Colloid and Interface Science (3 papers)Chemistry - A European Journal (3 papers)Mathematical Biosciences & Engineering (3 papers)Polymer Composites (3 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Ke Guo
111 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 135
- Computational Mathematics 18
- Ecological Modeling 108
- Renewable Energy, Sustainability and the Environment 352
- Fuel Technology 16
- Numerical Analysis 102
Countries citing papers authored by Ke Guo
This map shows the geographic impact of Ke Guo'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 Ke Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Guo more than expected).
Fields of papers citing papers by Ke Guo
This network shows the impact of papers produced by Ke Guo. 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 Ke Guo. The network helps show where Ke Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Guo, 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 110 | |
| 2 | 2014 | 81 | |
| 3 | 2019 | 79 | |
| 4 | 2022 | 73 | |
| 5 | 2022 | 61 | |
| 6 | 2010 | 50 | |
| 7 | 2023 | 50 | |
| 8 | 2019 | 45 | |
| 9 | 2015 | 39 | |
| 10 | 2012 | 37 | |
| 11 | 2015 | 35 | |
| 12 | 2019 | 35 | |
| 13 | 2019 | 35 | |
| 14 | 2023 | 32 | |
| 15 | 2016 | 30 | |
| 16 | 2020 | 29 | |
| 17 | 2019 | 28 | |
| 18 | 2011 | 27 | |
| 19 | 2018 | 27 | |
| 20 | 2019 | 25 |
About Ke Guo
Ke Guo is a scholar working on Modeling and Simulation, Media Technology, Public Health, Environmental and Occupational Health, Renewable Energy, Sustainability and the Environment and Materials Chemistry, having authored 122 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (21 papers), Electrocatalysts for Energy Conversion (13 papers), Remote-Sensing Image Classification (13 papers), Evolution and Genetic Dynamics (9 papers), Geochemistry and Geologic Mapping (9 papers), Remote Sensing and Land Use (8 papers), Image and Signal Denoising Methods (8 papers) and Advanced battery technologies research (8 papers). The work is most often cited by research in Computational Mathematics (18 citations), Ecological Modeling (108 citations), Renewable Energy, Sustainability and the Environment (352 citations), Fuel Technology (16 citations) and Numerical Analysis (102 citations). Ke Guo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Dongdong Xu, Guang-Xin Huang, Sheng Du, Wanbiao Ma, Jianchun Bao, Dongping Fan, Guoqing Li, Yafei Li, Min Han and Renfeng Song. Their work appears in journals such as Applied Mathematics Letters, Journal of Colloid and Interface Science, Chemistry - A European Journal, Mathematical Biosciences & Engineering and Polymer Composites.
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.