Baolei Li
Impact in
- Food Science top 10%
- Probiotics and Fermented Foods
Papers in
-
- Advanced X-ray and CT Imaging 8
-
- Robotic Path Planning Algorithms 4
- Co-authors
- Qingying Li (3 shared papers)Xun Wu (1 shared paper)Lulu Li (1 shared paper)Hui Li (1 shared paper)Shaobin Tang (3 shared papers)Simin Xu (3 shared papers)Jia‐Lin Zhu (2 shared papers)Huaxi Yi (3 shared papers)
- Journals
- Journal of Food Composition and Analysis (3 papers)PeerJ Computer Science (2 papers)Applied Surface Science (2 papers)Journal of Dairy Science (2 papers)Foods (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Baolei Li
55 papers receiving 400 citations
Peers
Comparison fields: 5 of 96
- Food Science 86
- Catalysis 23
- Metals and Alloys 8
- Nutrition and Dietetics 38
- Pollution 24
Countries citing papers authored by Baolei Li
This map shows the geographic impact of Baolei 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 Baolei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baolei Li more than expected).
Fields of papers citing papers by Baolei Li
This network shows the impact of papers produced by Baolei 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 Baolei Li. The network helps show where Baolei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Baolei 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 36 | |
| 2 | 2017 | 32 | |
| 3 | 2024 | 31 | |
| 4 | 2020 | 21 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 13 | |
| 9 | 2024 | 12 | |
| 10 | 2021 | 12 | |
| 11 | 2025 | 12 | |
| 12 | 2007 | 12 | |
| 13 | 2010 | 11 | |
| 14 | 2024 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2024 | 9 | |
| 18 | 2014 | 9 | |
| 19 | 2017 | 8 | |
| 20 | 2007 | 7 |
About Baolei Li
Baolei Li is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 61 papers that have together received 410 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (9 papers), Advanced X-ray and CT Imaging (8 papers), Metaheuristic Optimization Algorithms Research (8 papers), Probiotics and Fermented Foods (8 papers), Electrocatalysts for Energy Conversion (5 papers), Robotic Path Planning Algorithms (4 papers), Advanced Algorithms and Applications (4 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). The work is most often cited by research in Food Science (86 citations), Catalysis (23 citations), Metals and Alloys (8 citations), Nutrition and Dietetics (38 citations) and Pollution (24 citations). Baolei Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Qingying Li, Xun Wu, Lulu Li, Hui Li, Shaobin Tang, Simin Xu, Jia‐Lin Zhu, Huaxi Yi, Lanwei Zhang and Mingxue Liu. Their work appears in journals such as Journal of Food Composition and Analysis, PeerJ Computer Science, Applied Surface Science, Journal of Dairy Science and Foods.
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.