Lu Bai
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Remote-Sensing Image Classification 21
-
- Advanced Neural Network Applications 10
- Context-Aware Activity Recognition Systems 8
- Medical Image Segmentation Techniques 7
- Co-authors
- Maurice D. Mulvenna (15 shared papers)Raymond Bond (10 shared papers)Fabio Ciravegna (2 shared papers)Maciej Hyzy (7 shared papers)Simon Leigh (8 shared papers)Zhaibao Wang (28 shared papers)Alan John Dix (2 shared papers)Christos Efstratiou (3 shared papers)
- Journals
- Remote Sensing (7 papers)IEEE Access (3 papers)JMIR mhealth and uhealth (3 papers)Sensors (3 papers)Foods (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lu Bai
114 papers receiving 1.4k citations
Lu Bai's Hit Papers
Peers
Comparison fields: 5 of 144
- Media Technology 159
- Biophysics 85
- Computer Vision and Pattern Recognition 273
- Health Informatics 22
- Human-Computer Interaction 63
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 131 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 | 231 |
| 2 | 2020 | 138 | |
| 3 | 2020 | 126 | |
| 4 | Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction Hit paper breakdown → | 2024 | 54 |
| 5 | 2014 | 53 | |
| 6 | 2016 | 36 | |
| 7 | 2022 | 32 | |
| 8 | 2023 | 26 | |
| 9 | 2016 | 25 | |
| 10 | 2021 | 25 | |
| 11 | 2023 | 24 | |
| 12 | 2018 | 22 | |
| 13 | 2019 | 22 | |
| 14 | 2020 | 22 | |
| 15 | 2021 | 22 | |
| 16 | 2020 | 19 | |
| 17 | 2022 | 19 | |
| 18 | 2012 | 18 | |
| 19 | 2021 | 18 | |
| 20 | 2022 | 17 |
About Lu Bai
Lu Bai is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Rehabilitation, Aerospace Engineering and General Health Professions, having authored 131 papers that have together received 1.4k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (21 papers), Advanced Neural Network Applications (10 papers), Mobile Health and mHealth Applications (8 papers), Context-Aware Activity Recognition Systems (8 papers), Medical Image Segmentation Techniques (7 papers), Inertial Sensor and Navigation (5 papers), Stroke Rehabilitation and Recovery (5 papers) and Atmospheric aerosols and clouds (4 papers). The work is most often cited by research in Media Technology (159 citations), Biophysics (85 citations), Computer Vision and Pattern Recognition (273 citations), Health Informatics (22 citations) and Human-Computer Interaction (63 citations). Lu Bai has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Maurice D. Mulvenna, Raymond Bond, Fabio Ciravegna, Maciej Hyzy, Simon Leigh, Zhaibao Wang, Alan John Dix, Christos Efstratiou, Liangfu Chen and Matthew Pepper. Their work appears in journals such as Remote Sensing, IEEE Access, JMIR mhealth and uhealth, Sensors 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.