Haochen Li
Impact in
- Instrumentation top 10%
- Advanced Optical Sensing Technologies
Papers in
- Co-authors
- John J. Sansalone (4 shared papers)Dawei Feng (3 shared papers)Wonmi Lee (3 shared papers)Peiheng Wu (16 shared papers)Labao Zhang (16 shared papers)Lin Kang (15 shared papers)Jian Chen (12 shared papers)Jiaxing Song (1 shared paper)
- Journals
- Applied Physics Letters (5 papers)International Journal of Biological Macromolecules (2 papers)Nature Communications (2 papers)Optics and Lasers in Engineering (2 papers)Journal of Applied Polymer Science (2 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Haochen Li
67 papers receiving 594 citations
Peers
Comparison fields: 5 of 109
- Instrumentation 51
- Acoustics and Ultrasonics 8
- Numerical Analysis 27
- Condensed Matter Physics 51
- Pollution 43
Countries citing papers authored by Haochen Li
This map shows the geographic impact of Haochen 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 Haochen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haochen Li more than expected).
Fields of papers citing papers by Haochen Li
This network shows the impact of papers produced by Haochen 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 Haochen Li. The network helps show where Haochen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Haochen 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 80 | |
| 2 | 2024 | 39 | |
| 3 | 2022 | 39 | |
| 4 | 2023 | 29 | |
| 5 | 2021 | 23 | |
| 6 | 2015 | 22 | |
| 7 | 2021 | 19 | |
| 8 | 2024 | 18 | |
| 9 | 2020 | 17 | |
| 10 | Adjusting Wind Speed Prediction of Numerical Weather Forecast Model Based on Machine Learning Methods | 2019 | 16 |
| 11 | 2018 | 16 | |
| 12 | 2020 | 15 | |
| 13 | 2023 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2022 | 13 | |
| 17 | 2016 | 11 | |
| 18 | 2024 | 10 | |
| 19 | 2013 | 9 | |
| 20 | 2021 | 9 |
About Haochen Li
Haochen Li is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Artificial Intelligence, having authored 74 papers that have together received 612 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (9 papers), biodegradable polymer synthesis and properties (6 papers), Numerical methods for differential equations (6 papers), Advanced Optical Sensing Technologies (6 papers), Nonlinear Waves and Solitons (4 papers), Quantum Information and Cryptography (4 papers), Polymer composites and self-healing (4 papers) and Urban Stormwater Management Solutions (3 papers). The work is most often cited by research in Instrumentation (51 citations), Acoustics and Ultrasonics (8 citations), Numerical Analysis (27 citations), Condensed Matter Physics (51 citations) and Pollution (43 citations). Haochen Li has collaborated with scholars based in China, United States and Spain. Frequent co-authors include John J. Sansalone, Dawei Feng, Wonmi Lee, Peiheng Wu, Labao Zhang, Lin Kang, Jian Chen, Jiaxing Song, Yushun Wang and Li Cheng. Their work appears in journals such as Applied Physics Letters, International Journal of Biological Macromolecules, Nature Communications, Optics and Lasers in Engineering and Journal of Applied Polymer Science.
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.