Jin Lin
Impact in
- Geochemistry and Petrology top 2%
- Groundwater and Isotope Geochemistry
- Environmental Engineering top 2%
- Groundwater flow and contamination studies
- Hydrological Forecasting Using AI
Papers in
-
- Groundwater flow and contamination studies 28
- Hydrological Forecasting Using AI 4
-
- Groundwater and Isotope Geochemistry 16
- Co-authors
- Jianfeng Wu (16 shared papers)Yun Yang (12 shared papers)Jichun Wu (15 shared papers)Xiaomin Sun (10 shared papers)Chunmiao Zheng (4 shared papers)Wenxi Lu (7 shared papers)Jian Song (6 shared papers)Wenxi Lu (3 shared papers)
- Journals
- Journal of Hydrology (6 papers)Hydrogeology Journal (5 papers)Environmental Science and Pollution Research (3 papers)Environmental Earth Sciences (3 papers)Ground Water (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jin Lin
53 papers receiving 738 citations
Peers
Comparison fields: 5 of 74
- Geochemistry and Petrology 236
- Environmental Engineering 403
- Water Science and Technology 200
- Ocean Engineering 199
- Geophysics 63
Countries citing papers authored by Jin Lin
This map shows the geographic impact of Jin Lin'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 Jin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Lin more than expected).
Fields of papers citing papers by Jin Lin
This network shows the impact of papers produced by Jin Lin. 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 Jin Lin. The network helps show where Jin Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Lin, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 88 | |
| 2 | 2018 | 76 | |
| 3 | 2018 | 62 | |
| 4 | 2016 | 34 | |
| 5 | 2020 | 33 | |
| 6 | 2017 | 30 | |
| 7 | 2024 | 28 | |
| 8 | 2020 | 27 | |
| 9 | 2019 | 27 | |
| 10 | 2017 | 26 | |
| 11 | 2021 | 21 | |
| 12 | 2018 | 20 | |
| 13 | 2022 | 19 | |
| 14 | 2020 | 18 | |
| 15 | 2018 | 12 | |
| 16 | 2017 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2018 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2012 | 10 |
About Jin Lin
Jin Lin is a scholar working on Environmental Engineering, Geochemistry and Petrology, Ocean Engineering, Water Science and Technology and Civil and Structural Engineering, having authored 53 papers that have together received 751 indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (28 papers), Groundwater and Isotope Geochemistry (16 papers), Water resources management and optimization (11 papers), Hydrology and Watershed Management Studies (10 papers), Water Systems and Optimization (8 papers), Environmental and Agricultural Sciences (4 papers), Hydrological Forecasting Using AI (4 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Geochemistry and Petrology (236 citations), Environmental Engineering (403 citations), Water Science and Technology (200 citations), Ocean Engineering (199 citations) and Geophysics (63 citations). Jin Lin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jianfeng Wu, Yun Yang, Jichun Wu, Xiaomin Sun, Chunmiao Zheng, Wenxi Lu, Jian Song, Wenxi Lu, Tianliang Liu and Jiuhui Li. Their work appears in journals such as Journal of Hydrology, Hydrogeology Journal, Environmental Science and Pollution Research, Environmental Earth Sciences and Ground Water.
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.