Li Shen

2.1k total citations · 1 hit paper
75 papers, 1.6k citations indexed

About

Li Shen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Li Shen has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 26 papers in Media Technology and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Li Shen's work include Remote-Sensing Image Classification (21 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Image Retrieval and Classification Techniques (11 papers). Li Shen is often cited by papers focused on Remote-Sensing Image Classification (21 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Image Retrieval and Classification Techniques (11 papers). Li Shen collaborates with scholars based in China, United States and Italy. Li Shen's co-authors include Ian Papautsky, Joshua A. Hagen, Changchun Li, Jicheng Wang, Yuanxin Ye, Zhilin Li, Yuanxin Ye, Richard C. Murdock, Nancy Kelley‐Loughnane and Xu Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Li Shen

70 papers receiving 1.6k citations

Hit Papers

Point-of-care colorimetric detection with a smartphone 2012 2026 2016 2021 2012 100 200 300 400
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. Point-of-care colorimetric detection with a smartphone
    2012 476 citations Li Shen, Joshua A. Hagen et al. Lab on a Chip profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Li Shen China 17 613 405 393 274 169 75 1.6k
Jon R. Willmott United Kingdom 19 288 0.5× 68 0.2× 107 0.3× 235 0.9× 205 1.2× 80 1.4k
Meng Xu China 26 213 0.3× 121 0.3× 675 1.7× 1.4k 5.0× 63 0.4× 71 2.1k
Yongchao Zhang China 21 530 0.9× 231 0.6× 223 0.6× 48 0.2× 261 1.5× 164 1.8k
Chen Wang China 23 505 0.8× 96 0.2× 683 1.7× 187 0.7× 573 3.4× 104 2.0k
Xin Shen China 18 123 0.2× 52 0.1× 80 0.2× 54 0.2× 114 0.7× 94 1.2k
Kun Liang China 18 244 0.4× 114 0.3× 269 0.7× 394 1.4× 765 4.5× 74 1.8k
Jiaxin Li China 17 112 0.2× 43 0.1× 523 1.3× 862 3.1× 95 0.6× 84 1.7k
Yang-Lang Chang Taiwan 21 169 0.3× 25 0.1× 429 1.1× 430 1.6× 250 1.5× 96 1.5k
Shuang Song United States 15 101 0.2× 34 0.1× 221 0.6× 51 0.2× 85 0.5× 50 1.2k
Fei Shen China 22 545 0.9× 87 0.2× 218 0.6× 105 0.4× 216 1.3× 110 1.3k

Countries citing papers authored by Li Shen

Since Specialization
Citations

This map shows the geographic impact of Li Shen'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 Li Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Shen more than expected).

Fields of papers citing papers by Li Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li Shen. 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 Li Shen. The network helps show where Li Shen may publish in the future.

Co-authorship network of co-authors of Li Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Li Shen. A scholar is included among the top collaborators of Li Shen 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 Li Shen. Li Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Jun, et al.. (2025). Optimizing regional ecological security patterns based on interpretable machine learning models: A case study of Huzhou, Zhejiang Province. Journal of Environmental Management. 393. 126905–126905. 2 indexed citations
2.
Shen, Li, et al.. (2025). An AI-guided framework for automated map point symbol generation through template rendering. Cartography and Geographic Information Science. 1–22.
3.
4.
Shen, Li, et al.. (2024). A Lightweight Dual-Branch Network for Building Change Detection in Remote Sensing Images Integrating Cross-Scale Coupling and Boundary Constraint. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 2 indexed citations
5.
6.
Wang, Jicheng, et al.. (2023). Scale-Invariant Multi-Level Context Aggregation Network for Weakly Supervised Building Extraction. Remote Sensing. 15(5). 1432–1432. 8 indexed citations
7.
Shen, Li, et al.. (2023). Revolutionizing building damage detection: A novel weakly supervised approach using high-resolution remote sensing images. International Journal of Digital Earth. 17(1). 10 indexed citations
8.
Shen, Li, et al.. (2023). A Weakly Supervised Semantic Segmentation Approach for Damaged Building Extraction From Postearthquake High-Resolution Remote-Sensing Images. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 36 indexed citations
9.
Shen, Li, et al.. (2023). ALNet: Auxiliary Learning-Based Network for Weakly Supervised Building Extraction From High-Resolution Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 6 indexed citations
10.
He, Chaoyang, Li Shen, Mahdi Soltanolkotabi, & Salman Avestimehr. (2021). PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. International Conference on Machine Learning. 4150–4159. 8 indexed citations
11.
Wang, Jicheng, et al.. (2019). Deep Feature Fusion with Integration of Residual Connection and Attention Model for Classification of VHR Remote Sensing Images. Remote Sensing. 11(13). 1617–1617. 29 indexed citations
12.
Zhao, Zhe, Tao Liu, Li Shen, Bofang Li, & Xiaoyong Du. (2017). Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics. 244–253. 40 indexed citations
13.
Shen, Li, et al.. (2016). Fusion of Pixel-based and Object-based Features for Road Centerline Extraction from High-resolution Satellite Imagery. SHILAP Revista de lepidopterología. 9 indexed citations
14.
Shen, Li. (2013). PORTABLE MULTIPLEXED OPTICAL DETECTION FOR POINT-OF-CARE. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations
15.
Shen, Li, et al.. (2013). A Semisupervised Latent Dirichlet Allocation Model for Object-Based Classification of VHR Panchromatic Satellite Images. IEEE Geoscience and Remote Sensing Letters. 11(4). 863–867. 14 indexed citations
16.
Murdock, Richard C., et al.. (2013). Optimization of a Paper-Based ELISA for a Human Performance Biomarker. Analytical Chemistry. 85(23). 11634–11642. 151 indexed citations
17.
Shen, Li, Joshua A. Hagen, & Ian Papautsky. (2012). Point-of-care colorimetric detection with a smartphone. Lab on a Chip. 12(21). 4240–4240. 476 indexed citations breakdown →
18.
Shen, Li, et al.. (2012). A Multiscale Latent Dirichlet Allocation Model for Object-Oriented Clustering of VHR Panchromatic Satellite Images. IEEE Transactions on Geoscience and Remote Sensing. 51(3). 1680–1692. 40 indexed citations
19.
Shen, Li & Changchun Li. (2010). Water body extraction from Landsat ETM+ imagery using adaboost algorithm. 1–4. 169 indexed citations
20.
Shen, Li. (2006). Current situation and future development of technical and vocational education in Ethiopia.

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.

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