Xianyong Meng
- Water Science and Technology top 2%
- Hydrology and Watershed Management Studies 23
- Environmental Engineering top 2%
- Hydrological Forecasting Using AI 6
- Global and Planetary Change top 2%
- Climate variability and models 11
- Plant Water Relations and Carbon Dynamics 6
- Atmospheric Science top 5%
- Cryospheric studies and observations 7
- Hepatology top 5%
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- Liver Disease Diagnosis and Treatment 9
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- Brucella: diagnosis, epidemiology, treatment 6
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- Remote Sensing in Agriculture 5
In The Last Decade
Xianyong Meng
64 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 133
- Water Science and Technology 655
- Environmental Engineering 563
- Global and Planetary Change 746
- Atmospheric Science 542
- Hepatology 192
Countries citing papers authored by Xianyong Meng
This map shows the geographic impact of Xianyong Meng'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 Xianyong Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianyong Meng more than expected).
Fields of papers citing papers by Xianyong Meng
This network shows the impact of papers produced by Xianyong Meng. 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 Xianyong Meng. The network helps show where Xianyong Meng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xianyong Meng, 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 | 2025 | 4 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2021 | 18 | |
| 7 | 2021 | 51 | |
| 8 | 2020 | 125 | |
| 9 | 2020 | 5 | |
| 10 | 2019 | 56 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 15 | |
| 13 | 2017 | 46 | |
| 14 | 2017 | 46 | |
| 15 | Snowmelt Runoff Analysis under Generated Climate Change Scenarios for the Juntanghu River Basin, in Xinjiang, China | 2016 | 16 |
| 16 | 2016 | 1 | |
| 17 | 2013 | 0 | |
| 18 | 2008 | 0 | |
| 19 | [Expression of rasp21, C-myc, C-erbB-2, and AFP in 2-FAA induced experimental hepatocarcinogenesis]. | 2001 | 1 |
| 20 | 1997 | 14 |
About Xianyong Meng
Xianyong Meng is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering, having authored 72 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (23 papers), Climate variability and models (11 papers), Liver Disease Diagnosis and Treatment (9 papers), Cryospheric studies and observations (7 papers), Hydrological Forecasting Using AI (6 papers), Plant Water Relations and Carbon Dynamics (6 papers), Brucella: diagnosis, epidemiology, treatment (6 papers) and Remote Sensing in Agriculture (5 papers). The work is most often cited by research in Water Science and Technology (655 citations), Environmental Engineering (563 citations) and Global and Planetary Change (746 citations). Xianyong Meng has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Hao Wang, Chunxiang Shi, Yiping Wu, Dengfu Yao, Liangliang Bai, La Yan, Di Long, Caijin Zhang, Huimin Lei and Jing Zhang. Their work appears in journals such as Water, Scientific Reports, Cancer, Horticulturae and Journal of Intelligent & Fuzzy Systems.
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.