Sheng Wang
- Global and Planetary Change top 1%
- Environmental Engineering top 1%
- Ecology top 2%
- Atmospheric Science top 2%
- Water Science and Technology top 2%
- Co-authors
- Kaiyu GuanHongsong ChenZhiyong FuPeter Bauer‐GottweinChongya JiangMónica GarcíaKelin WangQiang Zhang
- Topics
- Plant Water Relations and Carbon Dynamics (33 papers)Hydrology and Watershed Management Studies (31 papers)Remote Sensing in Agriculture (25 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Sheng Wang
220 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Global and Planetary Change 1.5k
- Environmental Engineering 971
- Ecology 920
- Atmospheric Science 709
- Water Science and Technology 678
Countries citing papers authored by Sheng Wang
This map shows the geographic impact of Sheng Wang'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 Sheng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Wang more than expected).
Fields of papers citing papers by Sheng Wang
This network shows the impact of papers produced by Sheng Wang. 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 Sheng Wang. The network helps show where Sheng Wang may publish in the future.
Co-authorship network of co-authors of Sheng Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Wang. A scholar is included among the top collaborators of Sheng Wang 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 Sheng Wang. Sheng Wang 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 | 19 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystemsbreakdown → | 60 |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | 10 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 14 | |
| 18 | [A floating-dust case study based on the vertical distribution of aerosol optical properties]. | 2 |
| 19 | REVIEW ON COMPREHENSIVE DISPOSAL AND UTILIZATION OF WATER HYACINTH | 2 |
| 20 | Research on the Summer Precipitation Variation in Anhui Province and the Influence on Drought-Flood | 1 |
About Sheng Wang
Sheng Wang is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering, having authored 243 papers that have together received 4.2k indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (33 papers), Hydrology and Watershed Management Studies (31 papers) and Remote Sensing in Agriculture (25 papers). The work is most often cited by research in Global and Planetary Change (1.5k citations), Environmental Engineering (971 citations) and Soil Science (518 citations). Sheng Wang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Kaiyu Guan, Hongsong Chen, Zhiyong Fu, Peter Bauer‐Gottwein, Chongya Jiang, Mónica García, Kelin Wang, Qiang Zhang, Qu Zhou and Jinfeng Wang. Their work appears in journals such as Nature Communications, Molecular and Cellular Biology and The Science of The Total Environment.
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.