Jiayi Lu
Impact in
- Structural Biology top 10%
- Advanced Electron Microscopy Techniques and Applications
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- Advanced Battery Technologies Research
Papers in
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- Machine Learning in Materials Science 10
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- Surface Chemistry and Catalysis 11
- Co-authors
- Qiang Sun (19 shared papers)Hao Jiang (15 shared papers)Shichun Yang (3 shared papers)Zhengjie Zhang (2 shared papers)Akimitsu Narita (4 shared papers)Xiaoye Wang (4 shared papers)Kläus Müllen (4 shared papers)Cheng Chen (3 shared papers)
- Journals
- ACS Nano (5 papers)Chinese Chemical Letters (3 papers)Nature Communications (2 papers)Frontiers in Plant Science (2 papers)Angewandte Chemie International Edition (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jiayi Lu
40 papers receiving 337 citations
Jiayi Lu's Hit Papers
Peers
Comparison fields: 5 of 90
- Structural Biology 22
- Automotive Engineering 46
- Materials Chemistry 124
- Electrical and Electronic Engineering 107
- Biophysics 10
Countries citing papers authored by Jiayi Lu
This map shows the geographic impact of Jiayi 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 Jiayi Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiayi Lu more than expected).
Fields of papers citing papers by Jiayi Lu
This network shows the impact of papers produced by Jiayi 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 Jiayi Lu. The network helps show where Jiayi Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiayi 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Model-constrained deep learning for online fault diagnosis in Li-ion batteries over stochastic conditions Hit paper breakdown → | 2025 | 21 |
| 2 | 2022 | 21 | |
| 3 | 2023 | 20 | |
| 4 | 2022 | 20 | |
| 5 | 2017 | 19 | |
| 6 | 2022 | 18 | |
| 7 | 2023 | 17 | |
| 8 | 2021 | 17 | |
| 9 | 2022 | 16 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 12 | |
| 12 | 2024 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2006 | 11 | |
| 15 | 2023 | 11 | |
| 16 | 2006 | 11 | |
| 17 | 2023 | 11 | |
| 18 | 2024 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 2023 | 8 |
About Jiayi Lu
Jiayi Lu is a scholar working on Materials Chemistry, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Molecular Biology, having authored 47 papers that have together received 348 indexed citations. Recurring topics across this work include Surface Chemistry and Catalysis (11 papers), Machine Learning in Materials Science (10 papers), Molecular Junctions and Nanostructures (6 papers), Advanced Electron Microscopy Techniques and Applications (5 papers), Force Microscopy Techniques and Applications (4 papers), Advancements in Battery Materials (4 papers), Surface and Thin Film Phenomena (3 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Structural Biology (22 citations), Automotive Engineering (46 citations), Materials Chemistry (124 citations), Electrical and Electronic Engineering (107 citations) and Biophysics (10 citations). Jiayi Lu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Qiang Sun, Hao Jiang, Shichun Yang, Zhengjie Zhang, Akimitsu Narita, Xiaoye Wang, Kläus Müllen, Cheng Chen, Yu He and Xiaoling Dong. Their work appears in journals such as ACS Nano, Chinese Chemical Letters, Nature Communications, Frontiers in Plant Science and Angewandte Chemie International Edition.
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.