Dan Lu
Impact in
- Water Science and Technology top 1%
- Hydrology and Watershed Management Studies
- Membrane Separation Technologies
- Environmental Engineering top 1%
- Groundwater flow and contamination studies
- Hydrological Forecasting Using AI
Papers in
-
- Hydrological Forecasting Using AI 17
- Groundwater flow and contamination studies 15
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- Hydrology and Watershed Management Studies 22
- Membrane Separation Technologies 15
- Co-authors
- Ming Ye (17 shared papers)Lin Zhang (15 shared papers)Scott L Painter (7 shared papers)Zhikan Yao (10 shared papers)Shih-Chieh Kao (5 shared papers)Goutam Konapala (2 shared papers)Daniel M. Ricciuto (12 shared papers)Shlomo P. Neuman (4 shared papers)
- Journals
- Water Resources Research (8 papers)Journal of Hydrology (4 papers)Geoscientific model development (4 papers)Separation and Purification Technology (3 papers)Advances in Water Resources (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Dan Lu
103 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 126
- Water Science and Technology 961
- Environmental Engineering 811
- Global and Planetary Change 521
- Statistics, Probability and Uncertainty 162
- Ocean Engineering 333
Countries citing papers authored by Dan Lu
This map shows the geographic impact of Dan Lu'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 Dan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Lu more than expected).
Fields of papers citing papers by Dan Lu
This network shows the impact of papers produced by Dan Lu. 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 Dan Lu. The network helps show where Dan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Lu, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 187 | |
| 2 | 2022 | 179 | |
| 3 | 2020 | 157 | |
| 4 | 2011 | 112 | |
| 5 | 2016 | 86 | |
| 6 | 2012 | 70 | |
| 7 | 2013 | 70 | |
| 8 | 2021 | 67 | |
| 9 | 2017 | 57 | |
| 10 | 2021 | 57 | |
| 11 | 2023 | 54 | |
| 12 | 2015 | 53 | |
| 13 | 2022 | 43 | |
| 14 | 2016 | 43 | |
| 15 | 2013 | 41 | |
| 16 | 2017 | 37 | |
| 17 | 2022 | 36 | |
| 18 | 2019 | 35 | |
| 19 | 2022 | 35 | |
| 20 | 2014 | 35 |
About Dan Lu
Dan Lu is a scholar working on Environmental Engineering, Water Science and Technology, Global and Planetary Change, Ocean Engineering and Statistics, Probability and Uncertainty, having authored 108 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (22 papers), Hydrological Forecasting Using AI (17 papers), Reservoir Engineering and Simulation Methods (15 papers), Membrane Separation Technologies (15 papers), Groundwater flow and contamination studies (15 papers), Membrane-based Ion Separation Techniques (12 papers), Flood Risk Assessment and Management (10 papers) and Climate variability and models (9 papers). The work is most often cited by research in Water Science and Technology (961 citations), Environmental Engineering (811 citations), Global and Planetary Change (521 citations), Statistics, Probability and Uncertainty (162 citations) and Ocean Engineering (333 citations). Dan Lu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Ming Ye, Lin Zhang, Scott L Painter, Zhikan Yao, Shih-Chieh Kao, Goutam Konapala, Daniel M. Ricciuto, Shlomo P. Neuman, Guannan Zhang and Zhilin Sun. Their work appears in journals such as Water Resources Research, Journal of Hydrology, Geoscientific model development, Separation and Purification Technology and Advances in Water Resources.
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.