Ling Shang
Impact in
- Water Science and Technology top 5%
- Water-Energy-Food Nexus Studies
- Hydrology and Watershed Management Studies
- Water Resources and Sustainability
- Ocean Engineering top 5%
- Water resources management and optimization
Papers in
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- Distributed and Parallel Computing Systems 11
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- Water resources management and optimization 9
- Co-authors
- Yizi Shang (19 shared papers)Shibao Lu (6 shared papers)Xiaofei Li (4 shared papers)Yuntao Ye (7 shared papers)Hao Wang (3 shared papers)Xiaohui Lei (3 shared papers)Yongping Wei (3 shared papers)Qixiang Fan (3 shared papers)
In The Last Decade
Ling Shang
35 papers receiving 463 citations
Peers
Comparison fields: 5 of 66
- Water Science and Technology 248
- Ocean Engineering 167
- Environmental Engineering 147
- Energy Engineering and Power Technology 16
- Pollution 53
Countries citing papers authored by Ling Shang
This map shows the geographic impact of Ling Shang'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 Ling Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Shang more than expected).
Fields of papers citing papers by Ling Shang
This network shows the impact of papers produced by Ling Shang. 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 Ling Shang. The network helps show where Ling Shang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Shang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 124 | |
| 2 | 2016 | 45 | |
| 3 | 2017 | 41 | |
| 4 | 2016 | 38 | |
| 5 | 2016 | 29 | |
| 6 | 2019 | 26 | |
| 7 | 2016 | 22 | |
| 8 | 2019 | 15 | |
| 9 | 2007 | 15 | |
| 10 | 2016 | 13 | |
| 11 | 2017 | 13 | |
| 12 | 2019 | 13 | |
| 13 | 2019 | 9 | |
| 14 | 2009 | 9 | |
| 15 | 2016 | 8 | |
| 16 | 2010 | 8 | |
| 17 | 2022 | 6 | |
| 18 | 2011 | 5 | |
| 19 | 2014 | 4 | |
| 20 | 2019 | 3 |
About Ling Shang
Ling Shang is a scholar working on Computer Networks and Communications, Ocean Engineering, Environmental Engineering, Water Science and Technology and Information Systems, having authored 36 papers that have together received 471 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (11 papers), Water resources management and optimization (9 papers), Parallel Computing and Optimization Techniques (5 papers), Environmental Impact and Sustainability (4 papers), Scientific Computing and Data Management (4 papers), Hydrology and Watershed Management Studies (4 papers), Water-Energy-Food Nexus Studies (4 papers) and Hydraulic flow and structures (3 papers). The work is most often cited by research in Water Science and Technology (248 citations), Ocean Engineering (167 citations), Environmental Engineering (147 citations), Energy Engineering and Power Technology (16 citations) and Pollution (53 citations). Ling Shang has collaborated with scholars based in China, France and Australia. Frequent co-authors include Yizi Shang, Shibao Lu, Xiaofei Li, Yuntao Ye, Hao Wang, Xiaohui Lei, Yongping Wei, Qixiang Fan, Jiaguo Gong and Jiahong Liu. Their work appears in journals such as Journal of Hydrology, Journal of Hydrologic Engineering, Energy, Hydrological Sciences Journal and Applied Energy.
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.