Minchao Wu
- Global and Planetary Change top 5%
- Atmospheric Science top 10%
- Ecology
- Nature and Landscape Conservation
- Environmental Engineering
- Co-authors
- Guy SchurgersBenjamin SmithMarkku RummukainenWilhelm MayAnders AhlströmWolfgang KnorrPatrick SamuelssonChrister Jansson
- Topics
- Climate variability and models (14 papers)Plant Water Relations and Carbon Dynamics (6 papers)Meteorological Phenomena and Simulations (5 papers)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Minchao Wu
24 papers receiving 339 citations
Peers
Comparison fields: 5 of 47
- Global and Planetary Change 280
- Atmospheric Science 136
- Ecology 81
- Nature and Landscape Conservation 38
- Environmental Engineering 29
Countries citing papers authored by Minchao Wu
This map shows the geographic impact of Minchao Wu'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 Minchao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minchao Wu more than expected).
Fields of papers citing papers by Minchao Wu
This network shows the impact of papers produced by Minchao Wu. 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 Minchao Wu. The network helps show where Minchao Wu may publish in the future.
Co-authorship network of co-authors of Minchao Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Minchao Wu. A scholar is included among the top collaborators of Minchao Wu 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 Minchao Wu. Minchao Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 10 | |
| 5 | 5 | |
| 6 | 24 | |
| 7 | 10 | |
| 8 | 10 | |
| 9 | 24 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 31 | |
| 13 | 2 | |
| 14 | 35 | |
| 15 | 25 | |
| 16 | 57 | |
| 17 | 38 | |
| 18 | Vegetation-climate feedback causes reduced precipitation in CMIP5 regional Earth system model simulation over Africa | 3 |
| 19 | COMPTEL observation of the flaring quasar PKS0528+134 | 3 |
| 20 | Comparisons of observed seasonal climate features with a winter and summer numerical simulation produced with the GLAS general circulation model | 5 |
About Minchao Wu
Minchao Wu is a scholar working on Global and Planetary Change, Atmospheric Science and Nature and Landscape Conservation, having authored 25 papers that have together received 342 indexed citations. Recurring topics across this work include Climate variability and models (14 papers), Plant Water Relations and Carbon Dynamics (6 papers) and Meteorological Phenomena and Simulations (5 papers). The work is most often cited by research in Global and Planetary Change (280 citations), Atmospheric Science (136 citations) and Ecological Modeling (17 citations). Minchao Wu has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Guy Schurgers, Benjamin Smith, Markku Rummukainen, Wilhelm May, Anders Ahlström, Wolfgang Knorr, Patrick Samuelsson, Christer Jansson, Giulia Vico and Gabriele Messori. Their work appears in journals such as Nature Communications, Geophysical Research Letters and Aquaculture.
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.