Zerui Li
Impact in
- Ocean Engineering top 5%
- Reservoir Engineering and Simulation Methods
- Drilling and Well Engineering
- Mechanics of Materials top 5%
- Hydrocarbon exploration and reservoir analysis
Papers in
-
- Domain Adaptation and Few-Shot Learning 7
- Machine Learning and ELM 6
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- Hydraulic Fracturing and Reservoir Analysis 6
- Mineral Processing and Grinding 5
- Co-authors
- Wenjun Lv (25 shared papers)Ji Chang (16 shared papers)Yu Kang (17 shared papers)Wei Xing Zheng (7 shared papers)Yuping Wu (10 shared papers)Haining Liu (4 shared papers)Xiaochuan Li (3 shared papers)Yingchang Cao (1 shared paper)
- Journals
- Journal of Petroleum Science and Engineering (3 papers)Sensors (3 papers)IEEE Geoscience and Remote Sensing Letters (2 papers)Neurocomputing (2 papers)Journal of Natural Gas Science and Engineering (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Zerui Li
36 papers receiving 545 citations
Peers
Comparison fields: 5 of 63
- Ocean Engineering 133
- Mechanics of Materials 208
- Mechanical Engineering 250
- Geophysics 87
- Artificial Intelligence 173
Countries citing papers authored by Zerui Li
This map shows the geographic impact of Zerui Li'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 Zerui Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zerui Li more than expected).
Fields of papers citing papers by Zerui Li
This network shows the impact of papers produced by Zerui Li. 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 Zerui Li. The network helps show where Zerui Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Zerui Li, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 75 | |
| 2 | 2020 | 54 | |
| 3 | 2019 | 35 | |
| 4 | 2021 | 34 | |
| 5 | 2021 | 31 | |
| 6 | 2020 | 29 | |
| 7 | 2020 | 29 | |
| 8 | 2020 | 28 | |
| 9 | 2021 | 26 | |
| 10 | 2022 | 22 | |
| 11 | 2020 | 20 | |
| 12 | 2020 | 20 | |
| 13 | 2021 | 20 | |
| 14 | 2020 | 19 | |
| 15 | 2020 | 17 | |
| 16 | 2017 | 14 | |
| 17 | 2024 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2023 | 9 | |
| 20 | 2021 | 9 |
About Zerui Li
Zerui Li is a scholar working on Artificial Intelligence, Mechanical Engineering, Automotive Engineering, Environmental Engineering and Mechanics of Materials, having authored 42 papers that have together received 553 indexed citations. Recurring topics across this work include Hydrocarbon exploration and reservoir analysis (7 papers), Domain Adaptation and Few-Shot Learning (7 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers), Machine Learning and ELM (6 papers), Vehicle emissions and performance (5 papers), Mineral Processing and Grinding (5 papers), Air Quality Monitoring and Forecasting (4 papers) and Reservoir Engineering and Simulation Methods (3 papers). The work is most often cited by research in Ocean Engineering (133 citations), Mechanics of Materials (208 citations), Mechanical Engineering (250 citations), Geophysics (87 citations) and Artificial Intelligence (173 citations). Zerui Li has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Wenjun Lv, Ji Chang, Yu Kang, Wei Xing Zheng, Yuping Wu, Haining Liu, Xiaochuan Li, Yingchang Cao, Ting Xu and Yuling Li. Their work appears in journals such as Journal of Petroleum Science and Engineering, Sensors, IEEE Geoscience and Remote Sensing Letters, Neurocomputing and Journal of Natural Gas Science and Engineering.
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.