Shanshan Lao
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence
- Aerospace Engineering
- Spectroscopy
- Topics
- Metaheuristic Optimization Algorithms Research (3 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)Evolutionary Algorithms and Applications (3 papers)
- Journals
- ISPRS Journal of Photogrammetry and Remote SensingJournal of Photochemistry and Photobiology A Chemistry2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
In The Last Decade
Shanshan Lao
9 papers receiving 301 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 202
- Media Technology 110
- Artificial Intelligence 21
- Aerospace Engineering 21
- Spectroscopy 17
Countries citing papers authored by Shanshan Lao
This map shows the geographic impact of Shanshan Lao'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 Shanshan Lao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanshan Lao more than expected).
Fields of papers citing papers by Shanshan Lao
This network shows the impact of papers produced by Shanshan Lao. 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 Shanshan Lao. The network helps show where Shanshan Lao may publish in the future.
Co-authorship network of co-authors of Shanshan Lao
This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Lao. A scholar is included among the top collaborators of Shanshan Lao 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 Shanshan Lao. Shanshan Lao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessmentbreakdown → | 197 |
| 7 | 61 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 14 |
About Shanshan Lao
Shanshan Lao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Theory and Mathematics, having authored 10 papers that have together received 306 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Media Technology (110 citations), Computer Vision and Pattern Recognition (202 citations) and Bioengineering (10 citations). Shanshan Lao has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Yujiu Yang, Shuwei Shi, Tianhe Wu, Yuan Gong, Mingdeng Cao, Jiahao Wang, Weihao Xia, Zhiyuan Wang, Baochang Zhang and Xiang Xiang. Their work appears in journals such as ISPRS Journal of Photogrammetry and Remote Sensing, Journal of Photochemistry and Photobiology A Chemistry and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
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.