Longxi Luo
- Civil and Structural Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Geology top 10%
- Mechanical Engineering
- Co-authors
- Maria Q. FengZheng Yi WuJianping WuXinan FanAberham Genetu FelekeLuzheng BiZhijun LiDongming Feng
- Topics
- Structural Health Monitoring Techniques (9 papers)Infrastructure Maintenance and Monitoring (7 papers)Optical measurement and interference techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Longxi Luo
18 papers receiving 333 citations
Peers
Comparison fields: 5 of 47
- Civil and Structural Engineering 224
- Computer Vision and Pattern Recognition 143
- Electrical and Electronic Engineering 69
- Geology 55
- Mechanical Engineering 31
Countries citing papers authored by Longxi Luo
This map shows the geographic impact of Longxi Luo'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 Longxi Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longxi Luo more than expected).
Fields of papers citing papers by Longxi Luo
This network shows the impact of papers produced by Longxi Luo. 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 Longxi Luo. The network helps show where Longxi Luo may publish in the future.
Co-authorship network of co-authors of Longxi Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Longxi Luo. A scholar is included among the top collaborators of Longxi Luo 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 Longxi Luo. Longxi Luo 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 | 6 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 36 | |
| 9 | 16 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 24 | |
| 15 | 8 | |
| 16 | 121 | |
| 17 | 53 | |
| 18 | 8 | |
| 19 | 35 | |
| 20 | 1 |
About Longxi Luo
Longxi Luo is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 20 papers that have together received 339 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (9 papers), Infrastructure Maintenance and Monitoring (7 papers) and Optical measurement and interference techniques (6 papers). The work is most often cited by research in Civil and Structural Engineering (224 citations), Geology (55 citations) and Computer Vision and Pattern Recognition (143 citations). Longxi Luo has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Maria Q. Feng, Zheng Yi Wu, Jianping Wu, Xinan Fan, Aberham Genetu Feleke, Luzheng Bi, Zhijun Li, Dongming Feng, Akira Mita and Lijun Xie. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Intelligent Transportation Systems.
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.