Shanshan Lao

613 total citations · 1 hit paper
10 papers, 306 citations indexed

About

Shanshan Lao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Shanshan Lao has authored 10 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Shanshan Lao's work include Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Evolutionary Algorithms and Applications (3 papers). Shanshan Lao is often cited by papers focused on Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Evolutionary Algorithms and Applications (3 papers). Shanshan Lao collaborates with scholars based in China, Canada and Australia. Shanshan Lao's co-authors include Yujiu Yang, Shuwei Shi, Tianhe Wu, Yuan Gong, Mingdeng Cao, Jiahao Wang, Weihao Xia, Zhiyuan Wang, Baochang Zhang and Xiang Xiang and has published in prestigious 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).

In The Last Decade

Shanshan Lao

9 papers receiving 301 citations

Hit Papers

MANIQA: Multi-dimension Attention Network for No-Referenc... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment
    2022 197 citations Tianhe Wu, Shuwei Shi et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) profile →

Peers

Shanshan Lao
Zhenyu Weng China
Chee-Way Chong Malaysia
Chaoxiong Wu China
Pengfei Liu China
Sarif Kumar Naik India
Zhi-Song Liu Hong Kong
Yifeng Chen China
Jiqing Wu Switzerland
Zhaolin Xiao China
R.C. Staunton United Kingdom
Zhenyu Weng China
Shanshan Lao
Citations per year, relative to Shanshan Lao Shanshan Lao (= 1×) peers Zhenyu Weng

Countries citing papers authored by Shanshan Lao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

10 of 10 papers shown
1.
Hou, Cheng, Shanshan Lao, Jiayi Li, et al.. (2024). Weight-Inherited Distillation for Task-Agnostic BERT Compression. 13–28. 1 indexed citations
2.
Chen, Stephen, Shanshan Lao, & Irene Moser. (2023). Footprinting the Behaviour of Particle Swarm Optimization with Increasing Dimensionality. 1–6.
3.
Chen, Stephen, et al.. (2023). The Danger of Metaphors for Metaheuristic Design. 1–6. 2 indexed citations
4.
Lao, Shanshan, et al.. (2023). UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors. 6339–6349. 4 indexed citations
5.
Lao, Shanshan, et al.. (2023). Masked Autoencoders Are Stronger Knowledge Distillers. 6361–6370. 5 indexed citations
6.
Wu, Tianhe, Shuwei Shi, Shanshan Lao, et al.. (2022). MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 1190–1199. 197 indexed citations breakdown →
7.
Lao, Shanshan, Yuan Gong, Shuwei Shi, et al.. (2022). Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 1139–1148. 61 indexed citations
8.
Liang, QingJian, Shanshan Lao, Ligui Li, et al.. (2022). An ultrasensitive 4-(Diethylamino) salicylaldehyd-based fluorescence enhancement probe for the detection of Al3+ in aqueous solutions and its application in cells. Journal of Photochemistry and Photobiology A Chemistry. 428. 113854–113854. 21 indexed citations
9.
Chen, Stephen, Shanshan Lao, & Irene Moser. (2022). Particle swarm optimization with average-fitness based selection. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 81–84. 1 indexed citations
10.
Xiang, Xiang, Zhiyuan Wang, Shanshan Lao, & Baochang Zhang. (2020). Pruning multi-view stereo net for efficient 3D reconstruction. ISPRS Journal of Photogrammetry and Remote Sensing. 168. 17–27. 14 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhenyu Weng Breakdown of academic impact, for papers by Chee-Way Chong Breakdown of academic impact, for papers by Chaoxiong Wu Breakdown of academic impact, for papers by Pengfei Liu Breakdown of academic impact, for papers by Sarif Kumar Naik Breakdown of academic impact, for papers by Zhi-Song Liu Breakdown of academic impact, for papers by Yifeng Chen Breakdown of academic impact, for papers by Jiqing Wu Breakdown of academic impact, for papers by Zhaolin Xiao Breakdown of academic impact, for papers by R.C. Staunton
Rankless by CCL
2026