Di Long
Impact in
- Water Science and Technology top 0.1%
- Hydrology and Watershed Management Studies
- Oceanography top 0.2%
- Geophysics and Gravity Measurements
Papers in
-
- Hydrology and Watershed Management Studies 43
-
- Cryospheric studies and observations 30
- Precipitation Measurement and Analysis 19
- Climate change and permafrost 16
- Co-authors
- Bridget R. Scanlon (18 shared papers)Laurent Longuevergne (9 shared papers)Yang Hong (31 shared papers)Guoqiang Tang (13 shared papers)Wenting Yang (7 shared papers)Vijay P. Singh (3 shared papers)Vijay Pal Singh (5 shared papers)Himanshu V. Save (5 shared papers)
- Journals
- Water Resources Research (24 papers)Remote Sensing of Environment (18 papers)Journal of Hydrology (13 papers)Journal of Geophysical Research Atmospheres (5 papers)Nature Communications (5 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Di Long
122 papers receiving 12.4k citations
Di Long's Hit Papers
Peers
Comparison fields: 5 of 131
- Water Science and Technology 4.4k
- Oceanography 3.9k
- Global and Planetary Change 5.9k
- Atmospheric Science 3.8k
- Environmental Engineering 2.9k
Countries citing papers authored by Di Long
This map shows the geographic impact of Di Long'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 Di Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Long more than expected).
Fields of papers citing papers by Di Long
This network shows the impact of papers produced by Di Long. 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 Di Long. The network helps show where Di Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Di Long, 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Global water resources and the role of groundwater in a resilient water future Hit paper breakdown → | 2023 | 771 |
| 2 | Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data Hit paper breakdown → | 2018 | 534 |
| 3 | Evaluation of GPM Day-1 IMERG and TMPA Version-7 legacy products over Mainland China at multiple spatiotemporal scales Hit paper breakdown → | 2015 | 486 |
| 4 | Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites Hit paper breakdown → | 2014 | 482 |
| 5 | Global evaluation of new GRACE mascon products for hydrologic applications Hit paper breakdown → | 2016 | 459 |
| 6 | South-to-North Water Diversion stabilizing Beijing’s groundwater levels Hit paper breakdown → | 2020 | 454 |
| 7 | Quantifying the impacts of climate change and ecological restoration on streamflow changes based on a B udyko hydrological model in C hina's L oess P lateau Hit paper breakdown → | 2015 | 442 |
| 8 | Global GRACE Data Assimilation for Groundwater and Drought Monitoring: Advances and Challenges Hit paper breakdown → | 2019 | 441 |
| 9 | Drought and flood monitoring for a large karst plateau in Southwest China using extended GRACE data Hit paper breakdown → | 2014 | 387 |
| 10 | Ground referencing GRACE satellite estimates of groundwater storage changes in the California Central Valley, USA Hit paper breakdown → | 2012 | 376 |
| 11 | GRACE satellite monitoring of large depletion in water storage in response to the 2011 drought in Texas Hit paper breakdown → | 2013 | 346 |
| 12 | Climate change threatens terrestrial water storage over the Tibetan Plateau Hit paper breakdown → | 2022 | 287 |
| 13 | Global analysis of spatiotemporal variability in merged total water storage changes using multiple GRACE products and global hydrological models Hit paper breakdown → | 2017 | 284 |
| 14 | 2016 | 244 | |
| 15 | 2015 | 233 | |
| 16 | 2015 | 226 | |
| 17 | 2012 | 223 | |
| 18 | 2015 | 223 | |
| 19 | Generating surface soil moisture at 30 m spatial resolution using both data fusion and machine learning toward better water resources management at the field scale Hit paper breakdown → | 2021 | 213 |
| 20 | 2017 | 201 |
About Di Long
Di Long is a scholar working on Water Science and Technology, Atmospheric Science, Global and Planetary Change, Oceanography and Environmental Engineering, having authored 124 papers that have together received 12.6k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (43 papers), Cryospheric studies and observations (30 papers), Geophysics and Gravity Measurements (29 papers), Climate variability and models (22 papers), Flood Risk Assessment and Management (20 papers), Precipitation Measurement and Analysis (19 papers), Plant Water Relations and Carbon Dynamics (17 papers) and Climate change and permafrost (16 papers). The work is most often cited by research in Water Science and Technology (4.4k citations), Oceanography (3.9k citations), Global and Planetary Change (5.9k citations), Atmospheric Science (3.8k citations) and Environmental Engineering (2.9k citations). Di Long has collaborated with scholars based in China, United States and France. Frequent co-authors include Bridget R. Scanlon, Laurent Longuevergne, Yang Hong, Guoqiang Tang, Wenting Yang, Vijay P. Singh, Vijay Pal Singh, Himanshu V. Save, Yoshihide Wada and Alexander Y. Sun. Their work appears in journals such as Water Resources Research, Remote Sensing of Environment, Journal of Hydrology, Journal of Geophysical Research Atmospheres and Nature Communications.
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.