Haiyi Wu
Impact in
- Ocean Engineering top 5%
- Enhanced Oil Recovery Techniques
Papers in
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- Machine Learning in Materials Science 3
-
- Lattice Boltzmann Simulation Studies 3
- Co-authors
- Rui Qiao (9 shared papers)Wen‐Quan Tao (1 shared paper)Wen‐Zhen Fang (1 shared paper)Qinjun Kang (1 shared paper)Yuqing Wang (2 shared papers)Rui Jiang (2 shared papers)Qing-Song Wu (2 shared papers)Chao Fang (2 shared papers)
- Journals
- Energy and AI (1 paper)Archives of Biochemistry and Biophysics (1 paper)Physics of Fluids (1 paper)Review of Scientific Instruments (1 paper)Journal of Power Sources (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Haiyi Wu
22 papers receiving 463 citations
Peers
Comparison fields: 5 of 84
- Ocean Engineering 101
- Transportation 26
- Environmental Engineering 49
- Mechanics of Materials 84
- Electrochemistry 20
Countries citing papers authored by Haiyi Wu
This map shows the geographic impact of Haiyi Wu'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 Haiyi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyi Wu more than expected).
Fields of papers citing papers by Haiyi Wu
This network shows the impact of papers produced by Haiyi Wu. 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 Haiyi Wu. The network helps show where Haiyi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiyi Wu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 132 | |
| 2 | 2018 | 49 | |
| 3 | 2022 | 40 | |
| 4 | 2014 | 37 | |
| 5 | 2014 | 36 | |
| 6 | 2020 | 35 | |
| 7 | 2017 | 31 | |
| 8 | 2023 | 19 | |
| 9 | 2020 | 17 | |
| 10 | 2022 | 16 | |
| 11 | 2022 | 14 | |
| 12 | 2020 | 14 | |
| 13 | 2016 | 7 | |
| 14 | 2017 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2016 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 1 |
About Haiyi Wu
Haiyi Wu is a scholar working on Materials Chemistry, Computational Mechanics, Electrochemistry, Biomedical Engineering and Mechanics of Materials, having authored 22 papers that have together received 469 indexed citations. Recurring topics across this work include Electrochemical Analysis and Applications (4 papers), Lattice Boltzmann Simulation Studies (3 papers), Machine Learning in Materials Science (3 papers), Nanopore and Nanochannel Transport Studies (3 papers), Coal Properties and Utilization (2 papers), Markov Chains and Monte Carlo Methods (2 papers), Hydrocarbon exploration and reservoir analysis (2 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Ocean Engineering (101 citations), Transportation (26 citations), Environmental Engineering (49 citations), Mechanics of Materials (84 citations) and Electrochemistry (20 citations). Haiyi Wu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Rui Qiao, Wen‐Quan Tao, Wen‐Zhen Fang, Qinjun Kang, Yuqing Wang, Rui Jiang, Qing-Song Wu, Chao Fang, Yadong He and Roop L. Mahajan. Their work appears in journals such as Energy and AI, Archives of Biochemistry and Biophysics, Physics of Fluids, Review of Scientific Instruments and Journal of Power Sources.
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.