Shaochun Huang
- Water Science and Technology top 0.5%
- Global and Planetary Change top 1%
- Atmospheric Science top 5%
- Environmental Engineering top 5%
- Ocean Engineering top 5%
- Co-authors
- Fred F. HattermannValentina KrysanovaZbigniew W. KundzewiczTobias VetterHagen KochValentin AichBuda SuStefan Liersch
- Topics
- Hydrology and Watershed Management Studies (40 papers)Climate variability and models (21 papers)Hydrology and Drought Analysis (20 papers)
In The Last Decade
Shaochun Huang
54 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 83
- Water Science and Technology 1.5k
- Global and Planetary Change 1.5k
- Atmospheric Science 422
- Environmental Engineering 253
- Ocean Engineering 181
Countries citing papers authored by Shaochun Huang
This map shows the geographic impact of Shaochun Huang'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 Shaochun Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaochun Huang more than expected).
Fields of papers citing papers by Shaochun Huang
This network shows the impact of papers produced by Shaochun Huang. 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 Shaochun Huang. The network helps show where Shaochun Huang may publish in the future.
Co-authorship network of co-authors of Shaochun Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Shaochun Huang. A scholar is included among the top collaborators of Shaochun Huang 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 Shaochun Huang. Shaochun Huang 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 | 4 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 71 | |
| 8 | 55 | |
| 9 | 149 | |
| 10 | 14 | |
| 11 | 85 | |
| 12 | 85 | |
| 13 | 129 | |
| 14 | Multi-model assessment of climate change impacts on river discharge in three different regional scale river basins on three continents | 1 |
| 15 | 142 | |
| 16 | 56 | |
| 17 | 66 | |
| 18 | 38 | |
| 19 | 18 | |
| 20 | 34 |
About Shaochun Huang
Shaochun Huang is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (40 papers), Climate variability and models (21 papers) and Hydrology and Drought Analysis (20 papers). The work is most often cited by research in Water Science and Technology (1.5k citations), Global and Planetary Change (1.5k citations) and Atmospheric Science (422 citations). Shaochun Huang has collaborated with scholars based in Germany, Norway and China. Frequent co-authors include Fred F. Hattermann, Valentina Krysanova, Zbigniew W. Kundzewicz, Tobias Vetter, Hagen Koch, Valentin Aich, Buda Su, Stefan Liersch, Ilias Pechlivanidis and Tao Yang. Their work appears in journals such as The Science of The Total Environment, Water Resources Research 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.