Lejun Shao
Impact in
- Geology top 10%
- 3D Surveying and Cultural Heritage
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- Advanced Vision and Imaging
- Optical measurement and interference techniques
- Image and Object Detection Techniques
- Medical Image Segmentation Techniques
Papers in
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- Robotic Path Planning Algorithms 2
- Image Processing and 3D Reconstruction 1
- Handwritten Text Recognition Techniques 1
- Augmented Reality Applications 1
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- Robotics and Sensor-Based Localization 4
- Inertial Sensor and Navigation 1
- Co-authors
- Richard A. Volz (3 shared papers)Michael Walker (2 shared papers)Arch W. Naylor (1 shared paper)
- Journals
- Computers & Graphics (1 paper)CVGIP Image Understanding (1 paper)Deep Blue (University of Michigan) (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)NASA STI Repository (National Aeronautics and Space Administration) (1 paper)
- Partner nations
- United StatesSingaporeIsrael
In The Last Decade
Lejun Shao
6 papers receiving 326 citations
Peers
Comparison fields: 5 of 70
- Geology 62
- Computer Vision and Pattern Recognition 200
- Aerospace Engineering 166
- Computer Graphics and Computer-Aided Design 17
- Computational Mechanics 47
Countries citing papers authored by Lejun Shao
This map shows the geographic impact of Lejun Shao'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 Lejun Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lejun Shao more than expected).
Fields of papers citing papers by Lejun Shao
This network shows the impact of papers produced by Lejun Shao. 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 Lejun Shao. The network helps show where Lejun Shao may publish in the future.
Co-authors
The 3 scholars most cited alongside Lejun Shao, 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 | 1991 | 275 | |
| 2 | 1996 | 53 | |
| 3 | 1995 | 13 | |
| 4 | 2005 | 2 | |
| 5 | 1989 | 2 | |
| 6 | Methods and strategies of object localization | 1989 | 1 |
| 7 | Object localization and its applications in tele-autonomous systems. | 1990 | 0 |
About Lejun Shao
Lejun Shao is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Electrical and Electronic Engineering and Computational Mechanics, having authored 7 papers that have together received 346 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Robotics and Automated Systems (2 papers), Indoor and Outdoor Localization Technologies (2 papers), Robotic Path Planning Algorithms (2 papers), Inertial Sensor and Navigation (1 paper), Image Processing and 3D Reconstruction (1 paper), Handwritten Text Recognition Techniques (1 paper) and Augmented Reality Applications (1 paper). The work is most often cited by research in Geology (62 citations), Computer Vision and Pattern Recognition (200 citations), Aerospace Engineering (166 citations), Computer Graphics and Computer-Aided Design (17 citations) and Computational Mechanics (47 citations). Lejun Shao has collaborated with scholars based in United States, Singapore and Israel. Frequent co-authors include Richard A. Volz, Michael Walker and Arch W. Naylor. Their work appears in journals such as Computers & Graphics, CVGIP Image Understanding, Deep Blue (University of Michigan), Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and NASA STI Repository (National Aeronautics and Space Administration).
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.