Zerui Li
Impact in
- Ocean Engineering top 5%
- Drilling and Well Engineering
- Reservoir Engineering and Simulation Methods
- Mechanics of Materials top 10%
- Hydrocarbon exploration and reservoir analysis
Papers in
-
- Domain Adaptation and Few-Shot Learning 6
- Machine Learning and ELM 5
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- Hydraulic Fracturing and Reservoir Analysis 6
- Mineral Processing and Grinding 4
- Co-authors
- Wenjun Lv (24 shared papers)Yu Kang (17 shared papers)Ji Chang (15 shared papers)Wei Xing Zheng (7 shared papers)Yuping Wu (9 shared papers)Ting Xu (3 shared papers)Haining Liu (3 shared papers)Xiaochuan Li (3 shared papers)
- Journals
- Journal of Petroleum Science and Engineering (3 papers)Neurocomputing (2 papers)IEEE Geoscience and Remote Sensing Letters (2 papers)Sensors (2 papers)Neural Networks (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Zerui Li
34 papers receiving 451 citations
Peers
Comparison fields: 5 of 58
- Ocean Engineering 109
- Mechanics of Materials 171
- Mechanical Engineering 213
- Geophysics 70
- Artificial Intelligence 148
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 71 | |
| 2 | 2021 | 33 | |
| 3 | 2019 | 30 | |
| 4 | 2021 | 29 | |
| 5 | 2020 | 28 | |
| 6 | 2020 | 26 | |
| 7 | 2020 | 26 | |
| 8 | 2021 | 25 | |
| 9 | 2022 | 21 | |
| 10 | 2020 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2020 | 17 | |
| 13 | 2020 | 17 | |
| 14 | 2020 | 15 | |
| 15 | 2017 | 13 | |
| 16 | 2021 | 11 | |
| 17 | 2023 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2024 | 5 |
About Zerui Li
Zerui Li is a scholar working on Artificial Intelligence, Mechanical Engineering, Mechanics of Materials, Automotive Engineering and Environmental Engineering, having authored 36 papers that have together received 456 indexed citations. Recurring topics across this work include Hydrocarbon exploration and reservoir analysis (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers), Vehicle emissions and performance (5 papers), Machine Learning and ELM (5 papers), Air Quality Monitoring and Forecasting (4 papers), Mineral Processing and Grinding (4 papers) and Seismic Imaging and Inversion Techniques (3 papers). The work is most often cited by research in Ocean Engineering (109 citations), Mechanics of Materials (171 citations), Mechanical Engineering (213 citations), Geophysics (70 citations) and Artificial Intelligence (148 citations). Zerui Li has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Wenjun Lv, Yu Kang, Ji Chang, Wei Xing Zheng, Yuping Wu, Ting Xu, Haining Liu, Xiaochuan Li, Yue Ming and Yang Cao. Their work appears in journals such as Journal of Petroleum Science and Engineering, Neurocomputing, IEEE Geoscience and Remote Sensing Letters, Sensors and Neural Networks.
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.