Feifei Lan
Impact in
- Biomedical Engineering top 10%
- Biosensors and Analytical Detection
- Electrochemistry top 10%
Papers in
-
- 2D Materials and Applications 8
- MXene and MAX Phase Materials 6
- Advanced Nanomaterials in Catalysis 3
- ZnO doping and properties 3
- Carbon and Quantum Dots Applications 2
-
- Advanced biosensing and bioanalysis techniques 9
- Co-authors
- Jinghua Yu (9 shared papers)Shenguang Ge (8 shared papers)Linlin Liang (6 shared papers)Lina Zhang (4 shared papers)Mei Yan (4 shared papers)Yan Zhang (4 shared papers)Haiyun Liu (2 shared papers)Li Li (3 shared papers)
- Journals
- Sensors and Actuators B Chemical (3 papers)Vacuum (3 papers)Biosensors and Bioelectronics (2 papers)Scientific Reports (2 papers)Nanomaterials (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Feifei Lan
19 papers receiving 997 citations
Peers
Comparison fields: 5 of 64
- Biomedical Engineering 466
- Electrochemistry 62
- Renewable Energy, Sustainability and the Environment 139
- Molecular Biology 542
- Materials Chemistry 367
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 | 2016 | 143 | |
| 2 | 2019 | 131 | |
| 3 | 2017 | 131 | |
| 4 | 2018 | 114 | |
| 5 | 2017 | 107 | |
| 6 | 2015 | 68 | |
| 7 | 2016 | 46 | |
| 8 | 2017 | 44 | |
| 9 | 2017 | 35 | |
| 10 | 2015 | 33 | |
| 11 | 2018 | 32 | |
| 12 | 2016 | 28 | |
| 13 | 2016 | 26 | |
| 14 | 2017 | 26 | |
| 15 | 2018 | 16 | |
| 16 | 2022 | 13 | |
| 17 | 2013 | 8 | |
| 18 | 2020 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Feifei Lan
Feifei Lan is a scholar working on Materials Chemistry, Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), 2D Materials and Applications (8 papers), Biosensors and Analytical Detection (8 papers), MXene and MAX Phase Materials (6 papers), Advanced Nanomaterials in Catalysis (3 papers), ZnO doping and properties (3 papers), Carbon and Quantum Dots Applications (2 papers) and Ga2O3 and related materials (2 papers). The work is most often cited by research in Biomedical Engineering (466 citations), Electrochemistry (62 citations), Renewable Energy, Sustainability and the Environment (139 citations), Molecular Biology (542 citations) and Materials Chemistry (367 citations). Feifei Lan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jinghua Yu, Shenguang Ge, Linlin Liang, Lina Zhang, Mei Yan, Yan Zhang, Haiyun Liu, Li Li, Yongkuan Xu and Xianrang Song. Their work appears in journals such as Sensors and Actuators B Chemical, Vacuum, Biosensors and Bioelectronics, Scientific Reports and Nanomaterials.
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.