Lu Bai
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Advanced Neural Network Applications 5
- Co-authors
- Maurice Mulvenna (12 shared papers)Raymond Bond (8 shared papers)Fabio Ciravegna (2 shared papers)Zhibao Wang (27 shared papers)Maciej Hyzy (4 shared papers)Simon Leigh (6 shared papers)Alan Dix (2 shared papers)Liangfu Chen (16 shared papers)
- Journals
- Remote Sensing (7 papers)IEEE Access (3 papers)Sensors (3 papers)JMIR mhealth and uhealth (2 papers)Foods (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lu Bai
116 papers receiving 1.2k citations
Lu Bai's Hit Papers
Peers
Comparison fields: 5 of 166
- Media Technology 121
- Biophysics 70
- Rehabilitation 62
- Computer Vision and Pattern Recognition 182
- Physical Therapy, Sports Therapy and Rehabilitation 35
Countries citing papers authored by Lu Bai
This map shows the geographic impact of Lu Bai'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 Lu Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Bai more than expected).
Fields of papers citing papers by Lu Bai
This network shows the impact of papers produced by Lu Bai. 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 Lu Bai. The network helps show where Lu Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Bai, 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis Hit paper breakdown → | 2022 | 187 |
| 2 | 2020 | 119 | |
| 3 | 2020 | 109 | |
| 4 | 2024 | 49 | |
| 5 | 2010 | 46 | |
| 6 | 2014 | 46 | |
| 7 | 2016 | 34 | |
| 8 | 2022 | 29 | |
| 9 | 2016 | 25 | |
| 10 | 2023 | 24 | |
| 11 | 2021 | 22 | |
| 12 | 2023 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2021 | 20 | |
| 15 | 2018 | 19 | |
| 16 | 2020 | 19 | |
| 17 | 2021 | 17 | |
| 18 | 2022 | 17 | |
| 19 | 2019 | 17 | |
| 20 | 2012 | 16 |
About Lu Bai
Lu Bai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Atmospheric Science and Biomedical Engineering, having authored 134 papers that have together received 1.3k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (15 papers), Cerebral Palsy and Movement Disorders (9 papers), Atmospheric chemistry and aerosols (9 papers), Stroke Rehabilitation and Recovery (9 papers), Advanced Neural Network Applications (5 papers), Automated Road and Building Extraction (5 papers), Remote Sensing and Land Use (5 papers) and Air Quality Monitoring and Forecasting (5 papers). The work is most often cited by research in Media Technology (121 citations), Biophysics (70 citations), Rehabilitation (62 citations), Computer Vision and Pattern Recognition (182 citations) and Physical Therapy, Sports Therapy and Rehabilitation (35 citations). Lu Bai has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Maurice Mulvenna, Raymond Bond, Fabio Ciravegna, Zhibao Wang, Maciej Hyzy, Simon Leigh, Alan Dix, Liangfu Chen, Christos Efstratiou and Matthew Pepper. Their work appears in journals such as Remote Sensing, IEEE Access, Sensors, JMIR mhealth and uhealth 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.