Sha Zhang
- Global and Planetary Change top 2%
- Ecology top 5%
- Water Science and Technology top 5%
- Plant Science top 10%
- Atmospheric Science top 10%
- Co-authors
- Yun BaiJiahua ZhangFengmei YaoJenny van DoornPeter S. H. LeeflangShanshan YangJingwen WangHairu Zhang
- Topics
- Plant Water Relations and Carbon Dynamics (16 papers)Remote Sensing in Agriculture (12 papers)Climate variability and models (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Sha Zhang
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 120
- Global and Planetary Change 668
- Ecology 341
- Water Science and Technology 238
- Plant Science 196
- Atmospheric Science 151
Countries citing papers authored by Sha Zhang
This map shows the geographic impact of Sha Zhang'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 Sha Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Zhang more than expected).
Fields of papers citing papers by Sha Zhang
This network shows the impact of papers produced by Sha Zhang. 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 Sha Zhang. The network helps show where Sha Zhang may publish in the future.
Co-authorship network of co-authors of Sha Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Sha Zhang. A scholar is included among the top collaborators of Sha Zhang 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 Sha Zhang. Sha Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 59 | |
| 14 | Study on Attitudes towards Deprescribing among Elderly Patients with Chronic Diseases in Several Communities of Chongqing | 1 |
| 15 | 14 | |
| 16 | 64 | |
| 17 | Impact of Urban Surface Characteristics on Summer Rainfall in the Beijing–Tianjin–Hebei Area | 7 |
| 18 | Spatial-temporal change of leaf area index (LAI) of vegetations in Hebei province from 2002 to 2011. | 1 |
| 19 | 6 | |
| 20 | Application of Brand Niche Theory to Internet Brands Measurement | 0 |
About Sha Zhang
Sha Zhang is a scholar working on Global and Planetary Change, Water Science and Technology and Ecology, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (16 papers), Remote Sensing in Agriculture (12 papers) and Climate variability and models (7 papers). The work is most often cited by research in Global and Planetary Change (668 citations), Water Science and Technology (238 citations) and Ecology (341 citations). Sha Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yun Bai, Jiahua Zhang, Fengmei Yao, Jenny van Doorn, Peter S. H. Leeflang, Shanshan Yang, Jingwen Wang, Hairu Zhang, Qi Liu and Lkhagvadorj Nanzad. Their work appears in journals such as Nature Communications, The Science of The Total Environment and Remote Sensing of 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.