Shengyue Chen
Impact in
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies
- Water Quality Monitoring Technologies
- Water Quality and Pollution Assessment
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI
Papers in
-
- Hydrological Forecasting Using AI 6
- Urban Stormwater Management Solutions 2
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- Hydrology and Watershed Management Studies 4
- Water Quality Monitoring Technologies 3
- Water Quality and Pollution Assessment 2
- Co-authors
- Jinliang Huang (11 shared papers)Peng Wang (2 shared papers)Zhenyu Zhang (2 shared papers)Yan Chen (3 shared papers)Yuanyuan Han (2 shared papers)Xin Zhao (2 shared papers)Zhenyu Zhang (4 shared papers)Yi‐Cheng Huang (1 shared paper)
In The Last Decade
Shengyue Chen
18 papers receiving 253 citations
Peers
Comparison fields: 5 of 60
- Water Science and Technology 125
- Environmental Engineering 115
- Global and Planetary Change 62
- Industrial and Manufacturing Engineering 13
- Internal Medicine 3
Countries citing papers authored by Shengyue Chen
This map shows the geographic impact of Shengyue Chen'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 Shengyue Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengyue Chen more than expected).
Fields of papers citing papers by Shengyue Chen
This network shows the impact of papers produced by Shengyue Chen. 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 Shengyue Chen. The network helps show where Shengyue Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengyue Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 82 | |
| 2 | 2023 | 52 | |
| 3 | 2023 | 29 | |
| 4 | 2020 | 14 | |
| 5 | 2022 | 14 | |
| 6 | 2023 | 12 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 9 | |
| 9 | 2022 | 8 | |
| 10 | A combined index constructed based on NLR and PLR is associated with in-hospital mortality risk in patients with acute myocardial infarction. | 2023 | 8 |
| 11 | 2023 | 5 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 0 |
About Shengyue Chen
Shengyue Chen is a scholar working on Environmental Engineering, Water Science and Technology, Nature and Landscape Conservation, Oncology and Epidemiology, having authored 19 papers that have together received 256 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (6 papers), Hydrology and Watershed Management Studies (4 papers), Soil and Water Nutrient Dynamics (3 papers), Fish Ecology and Management Studies (3 papers), Water Quality Monitoring Technologies (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Water Quality and Pollution Assessment (2 papers) and Urban Stormwater Management Solutions (2 papers). The work is most often cited by research in Water Science and Technology (125 citations), Environmental Engineering (115 citations), Global and Planetary Change (62 citations), Industrial and Manufacturing Engineering (13 citations) and Internal Medicine (3 citations). Shengyue Chen has collaborated with scholars based in China, Germany and Singapore. Frequent co-authors include Jinliang Huang, Peng Wang, Zhenyu Zhang, Yan Chen, Yuanyuan Han, Xin Zhao, Zhenyu Zhang, Yi‐Cheng Huang, Dongfeng Li and Zilong Chen. Their work appears in journals such as Journal of Environmental Management, BMC Cardiovascular Disorders, Water Research, Water and PLoS ONE.
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.