Feifei Lan
Impact in
- Electrochemistry top 5%
- Electrochemical Analysis and Applications
- Biomedical Engineering top 10%
- Biosensors and Analytical Detection
- Advanced Sensor and Energy Harvesting Materials
Papers in
-
- Advanced Nanomaterials in Catalysis 4
- Carbon and Quantum Dots Applications 2
-
- Advanced biosensing and bioanalysis techniques 6
- Advanced Biosensing Techniques and Applications 2
- Co-authors
- Shenguang Ge (7 shared papers)Jinghua Yu (7 shared papers)Mei Yan (4 shared papers)Linlin Liang (5 shared papers)Na Ren (4 shared papers)Haiyun Liu (4 shared papers)Li Li (3 shared papers)Jinge Zhao (1 shared paper)
- Journals
- Biosensors and Bioelectronics (3 papers)Chemical Engineering Journal (2 papers)Materials (1 paper)ACS Nano (1 paper)Microchimica Acta (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Feifei Lan
14 papers receiving 571 citations
Feifei Lan's Hit Papers
Peers
Comparison fields: 5 of 51
- Electrochemistry 94
- Biomedical Engineering 268
- Bioengineering 26
- Molecular Biology 294
- Polymers and Plastics 58
Countries citing papers authored by Feifei Lan
This map shows the geographic impact of Feifei Lan'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 Feifei Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Lan more than expected).
Fields of papers citing papers by Feifei Lan
This network shows the impact of papers produced by Feifei Lan. 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 Feifei Lan. The network helps show where Feifei Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 109 | |
| 2 | 2017 | 83 | |
| 3 | 2015 | 72 | |
| 4 | 2017 | 52 | |
| 5 | 2022 | 50 | |
| 6 | 2016 | 47 | |
| 7 | A thermomechanically stable nanofiber separator with multiscale MOF networks towards high-efficiency ion transport Hit paper breakdown → | 2025 | 37 |
| 8 | 2018 | 29 | |
| 9 | 2024 | 24 | |
| 10 | 2016 | 23 | |
| 11 | 2019 | 17 | |
| 12 | 2024 | 15 | |
| 13 | 2018 | 12 | |
| 14 | 2022 | 8 |
About Feifei Lan
Feifei Lan is a scholar working on Materials Chemistry, Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 14 papers that have together received 578 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (6 papers), Advanced Nanomaterials in Catalysis (4 papers), Biosensors and Analytical Detection (4 papers), Advanced Battery Technologies Research (2 papers), Advancements in Battery Materials (2 papers), Carbon and Quantum Dots Applications (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and Advanced Battery Materials and Technologies (1 paper). The work is most often cited by research in Electrochemistry (94 citations), Biomedical Engineering (268 citations), Bioengineering (26 citations), Molecular Biology (294 citations) and Polymers and Plastics (58 citations). Feifei Lan has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Shenguang Ge, Jinghua Yu, Mei Yan, Linlin Liang, Na Ren, Haiyun Liu, Li Li, Jinge Zhao, Shaopeng Wang and Feng Yu. Their work appears in journals such as Biosensors and Bioelectronics, Chemical Engineering Journal, Materials, ACS Nano and Microchimica Acta.
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.