Zhichang Guo
- Global and Planetary Change top 1%
- Atmospheric Science top 1%
- Environmental Engineering top 1%
- Water Science and Technology top 2%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Paul A. DirmeyerRandal D. KosterXiang GaoMei ZhaoTaikan OkiNaota HanasakiDavid H. BromwichBoying Wu
- Topics
- Image and Signal Denoising Methods (35 papers)Climate variability and models (26 papers)Meteorological Phenomena and Simulations (21 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Zhichang Guo
81 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Global and Planetary Change 2.0k
- Atmospheric Science 1.8k
- Environmental Engineering 956
- Water Science and Technology 638
- Computer Vision and Pattern Recognition 383
Countries citing papers authored by Zhichang Guo
This map shows the geographic impact of Zhichang 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 Zhichang Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhichang Guo more than expected).
Fields of papers citing papers by Zhichang Guo
This network shows the impact of papers produced by Zhichang 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 Zhichang Guo. The network helps show where Zhichang Guo may publish in the future.
Co-authorship network of co-authors of Zhichang Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Zhichang Guo. A scholar is included among the top collaborators of Zhichang Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhichang Guo. Zhichang Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 28 | |
| 9 | 11 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 2 | |
| 14 | 39 | |
| 15 | 4 | |
| 16 | 9 | |
| 17 | 6 | |
| 18 | 7 | |
| 19 | Soil moisture memory in AGCM simulations: Analysis of Global Land-Atmosphere Coupling Experiment (GLACE) Data | 3 |
| 20 | Spatial and temporal variability of modern Antarctic precipitation / | 3 |
About Zhichang Guo
Zhichang Guo is a scholar working on Modeling and Simulation, Computer Vision and Pattern Recognition and Media Technology, having authored 86 papers that have together received 3.3k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (35 papers), Climate variability and models (26 papers) and Meteorological Phenomena and Simulations (21 papers). The work is most often cited by research in Atmospheric Science (1.8k citations), Global and Planetary Change (2.0k citations) and Environmental Engineering (956 citations). Zhichang Guo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Paul A. Dirmeyer, Randal D. Koster, Xiang Gao, Mei Zhao, Taikan Oki, Naota Hanasaki, David H. Bromwich, Boying Wu, Kenneth E. Mitchell and Michael J. Puma. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research 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.