Lujia Wang
Impact in
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- Advanced Neural Network Applications
- Bioengineering top 5%
Papers in
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- Advanced Vision and Imaging 10
- Robotic Path Planning Algorithms 9
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- Robotics and Sensor-Based Localization 19
- Co-authors
- Ming Liu (46 shared papers)Boyi Liu (6 shared papers)Max Q.‐H. Meng (13 shared papers)Yuxiang Sun (11 shared papers)Yuxuan Liu (8 shared papers)Ge‐Bo Pan (7 shared papers)Shaohui Zhang (6 shared papers)Chengzhong Xu (10 shared papers)
- Journals
- IEEE Robotics and Automation Letters (9 papers)IEEE Transactions on Automation Science and Engineering (5 papers)Journal of Materials Chemistry C (2 papers)BioMed Research International (1 paper)Chemico-Biological Interactions (1 paper)
- Partner nations
- Hong KongChinaSwitzerland
In The Last Decade
Lujia Wang
79 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 420
- Bioengineering 94
- Geology 91
- Aerospace Engineering 342
- Environmental Engineering 169
Countries citing papers authored by Lujia Wang
This map shows the geographic impact of Lujia Wang'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 Lujia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lujia Wang more than expected).
Fields of papers citing papers by Lujia Wang
This network shows the impact of papers produced by Lujia Wang. 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 Lujia Wang. The network helps show where Lujia Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lujia Wang, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 152 | |
| 2 | 2019 | 101 | |
| 3 | 2020 | 57 | |
| 4 | 2022 | 52 | |
| 5 | 2015 | 52 | |
| 6 | 2021 | 50 | |
| 7 | 2016 | 49 | |
| 8 | 2019 | 47 | |
| 9 | 2019 | 42 | |
| 10 | 2017 | 41 | |
| 11 | 2022 | 40 | |
| 12 | 2022 | 35 | |
| 13 | 2021 | 33 | |
| 14 | 2023 | 31 | |
| 15 | 2021 | 30 | |
| 16 | 2019 | 29 | |
| 17 | 2018 | 29 | |
| 18 | 2009 | 25 | |
| 19 | 2018 | 25 | |
| 20 | 2012 | 25 |
About Lujia Wang
Lujia Wang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 83 papers that have together received 1.6k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (19 papers), Robotics and Automated Systems (16 papers), Indoor and Outdoor Localization Technologies (12 papers), IoT and Edge/Fog Computing (10 papers), Advanced Vision and Imaging (10 papers), Robotic Path Planning Algorithms (9 papers), Modular Robots and Swarm Intelligence (9 papers) and Autonomous Vehicle Technology and Safety (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (420 citations), Bioengineering (94 citations), Geology (91 citations), Aerospace Engineering (342 citations) and Environmental Engineering (169 citations). Lujia Wang has collaborated with scholars based in Hong Kong, China and Switzerland. Frequent co-authors include Ming Liu, Boyi Liu, Max Q.‐H. Meng, Yuxiang Sun, Yuxuan Liu, Ge‐Bo Pan, Shaohui Zhang, Chengzhong Xu, Rui Xi and Chao Wang. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Automation Science and Engineering, Journal of Materials Chemistry C, BioMed Research International and Chemico-Biological Interactions.
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.