Xiaolong Hu
- Environmental Engineering top 5%
- Groundwater flow and contamination studies 10
- Hydrological Forecasting Using AI 5
- Soil Moisture and Remote Sensing 5
- Global and Planetary Change top 5%
- Plant Water Relations and Carbon Dynamics 14
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies 9
- Computational Mechanics top 5%
- Modeling and Simulation top 5%
-
- Remote Sensing in Agriculture 8
-
- Soil and Unsaturated Flow 8
-
- Model Reduction and Neural Networks 5
- Co-authors
- Liangsheng ShiLin LinTimothy R. GinnJohn H. CushmanXiaoming WangMax GunzburgerYanzhao CaoGuang Lin
- Journals
- PLoS ONE (1 paper)The Science of The Total Environment (2 papers)Water Resources Research (6 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaolong Hu
43 papers receiving 917 citations
Peers
Comparison fields: 5 of 90
- Environmental Engineering 350
- Global and Planetary Change 280
- Water Science and Technology 173
- Computational Mechanics 217
- Modeling and Simulation 43
Countries citing papers authored by Xiaolong Hu
This map shows the geographic impact of Xiaolong Hu'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 Xiaolong Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolong Hu more than expected).
Fields of papers citing papers by Xiaolong Hu
This network shows the impact of papers produced by Xiaolong Hu. 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 Xiaolong Hu. The network helps show where Xiaolong Hu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaolong Hu, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 30 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 7 | |
| 10 | 2023 | 22 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 0 | |
| 16 | 2022 | 15 | |
| 17 | 2021 | 6 | |
| 18 | 2021 | 2 | |
| 19 | 2021 | 89 | |
| 20 | Development of a discrete-continuum VDFST-CFP numerical model for simulating seawater intrusion to a coastal karst aquifer with a conduit system | 2017 | 1 |
About Xiaolong Hu
Xiaolong Hu is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology, having authored 46 papers that have together received 966 indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (14 papers), Groundwater flow and contamination studies (10 papers), Hydrology and Watershed Management Studies (9 papers), Remote Sensing in Agriculture (8 papers), Soil and Unsaturated Flow (8 papers), Hydrological Forecasting Using AI (5 papers), Soil Moisture and Remote Sensing (5 papers) and Model Reduction and Neural Networks (5 papers). The work is most often cited by research in Environmental Engineering (350 citations), Global and Planetary Change (280 citations) and Water Science and Technology (173 citations). Xiaolong Hu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Liangsheng Shi, Lin Lin, Timothy R. Ginn, John H. Cushman, Xiaoming Wang, Max Gunzburger, Yanzhao Cao, Guang Lin, Yuanyuan Zha and J. H. Cushman. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Water Resources Research.
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.