Jiajun Lv
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
- Instrumentation top 10%
- Advanced Optical Sensing Technologies
Papers in
-
- Robotics and Sensor-Based Localization 12
-
- Advanced Vision and Imaging 6
- Optical measurement and interference techniques 2
- Robotic Path Planning Algorithms 2
- Advanced Neural Network Applications 2
- Co-authors
- Yong Liu (11 shared papers)Xingxing Zuo (9 shared papers)Jinhong Xu (5 shared papers)Kewei Hu (3 shared papers)Guoquan Huang (2 shared papers)Marc Pollefeys (1 shared paper)Patrick Geneva (1 shared paper)Yulin Yang (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (2 papers)Computer Graphics Forum (1 paper)IEEE Transactions on Robotics (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)Sensors (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Jiajun Lv
18 papers receiving 495 citations
Peers
Comparison fields: 5 of 70
- Geology 158
- Instrumentation 48
- Aerospace Engineering 321
- Computer Vision and Pattern Recognition 186
- Environmental Engineering 95
Countries citing papers authored by Jiajun Lv
This map shows the geographic impact of Jiajun Lv'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 Jiajun Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiajun Lv more than expected).
Fields of papers citing papers by Jiajun Lv
This network shows the impact of papers produced by Jiajun Lv. 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 Jiajun Lv. The network helps show where Jiajun Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiajun Lv, 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 | 2020 | 124 | |
| 2 | 2020 | 78 | |
| 3 | 2022 | 52 | |
| 4 | 2021 | 39 | |
| 5 | 2012 | 36 | |
| 6 | 2011 | 36 | |
| 7 | 2021 | 32 | |
| 8 | 2022 | 27 | |
| 9 | 2023 | 21 | |
| 10 | 2023 | 21 | |
| 11 | 2022 | 18 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 7 | |
| 14 | 2018 | 4 | |
| 15 | 2024 | 2 | |
| 16 | 2013 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 0 | |
| 20 | 2023 | 0 |
About Jiajun Lv
Jiajun Lv is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Geology, Electrical and Electronic Engineering and Instrumentation, having authored 20 papers that have together received 513 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (12 papers), 3D Surveying and Cultural Heritage (6 papers), Advanced Vision and Imaging (6 papers), Optical measurement and interference techniques (2 papers), Robotic Path Planning Algorithms (2 papers), Advanced Neural Network Applications (2 papers), Indoor and Outdoor Localization Technologies (2 papers) and Advanced Optical Sensing Technologies (2 papers). The work is most often cited by research in Geology (158 citations), Instrumentation (48 citations), Aerospace Engineering (321 citations), Computer Vision and Pattern Recognition (186 citations) and Environmental Engineering (95 citations). Jiajun Lv has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Yong Liu, Xingxing Zuo, Jinhong Xu, Kewei Hu, Guoquan Huang, Marc Pollefeys, Patrick Geneva, Yulin Yang, Hujun Bao and Jin Huang. Their work appears in journals such as IEEE Robotics and Automation Letters, Computer Graphics Forum, IEEE Transactions on Robotics, Physica A Statistical Mechanics and its Applications and Sensors.
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.