Lei Gao
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Alan BourkeJ. Stuart NelsonLing GuanLin QiNaimul KhanXian-Feng HanWei JiangMingjie Wang
- Topics
- Face and Expression Recognition (14 papers)Blind Source Separation Techniques (13 papers)Human Pose and Action Recognition (13 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionSafety, Risk, Reliability and Quality
- Journals
- IEEE AccessSensorsRemote Sensing
In The Last Decade
Lei Gao
64 papers receiving 664 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 465
- Biomedical Engineering 191
- Artificial Intelligence 150
- Electrical and Electronic Engineering 86
- Computer Networks and Communications 85
Countries citing papers authored by Lei Gao
This map shows the geographic impact of Lei Gao'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 Lei Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Gao more than expected).
Fields of papers citing papers by Lei Gao
This network shows the impact of papers produced by Lei Gao. 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 Lei Gao. The network helps show where Lei Gao may publish in the future.
Co-authorship network of co-authors of Lei Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Lei Gao. A scholar is included among the top collaborators of Lei Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lei Gao. Lei Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 26 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 54 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | Navigation feature extraction method for rice pickup harvester using support vector machine. | 1 |
| 15 | 17 | |
| 16 | Selecting discriminative features with discriminative multiple canonical correlation analysis for multi-feature information fusion | 1 |
| 17 | Sensor Positioning for Activity Recognition Using Multiple Accelerometer-Based Sensors. | 6 |
| 18 | 5 | |
| 19 | 35 | |
| 20 | License plate location based on Tophat transformation and text texture | 3 |
About Lei Gao
Lei Gao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 69 papers that have together received 693 indexed citations. Recurring topics across this work include Face and Expression Recognition (14 papers), Blind Source Separation Techniques (13 papers) and Human Pose and Action Recognition (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (465 citations), Human-Computer Interaction (55 citations) and Safety, Risk, Reliability and Quality (84 citations). Lei Gao has collaborated with scholars based in Canada, China and Ireland. Frequent co-authors include Alan Bourke, J. Stuart Nelson, Ling Guan, Lin Qi, Naimul Khan, Xian-Feng Han, Wei Jiang, Mingjie Wang, Enqing Chen and Jesse S. Jin. Their work appears in journals such as IEEE Access, Sensors and Remote Sensing.
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.