Shanshan Gao

697 total citations
65 papers, 445 citations indexed

About

Shanshan Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Shanshan Gao has authored 65 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Molecular Biology. Recurrent topics in Shanshan Gao's work include Advanced Image and Video Retrieval Techniques (8 papers), Genomics and Phylogenetic Studies (7 papers) and Image and Signal Denoising Methods (7 papers). Shanshan Gao is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Genomics and Phylogenetic Studies (7 papers) and Image and Signal Denoising Methods (7 papers). Shanshan Gao collaborates with scholars based in China, United States and Israel. Shanshan Gao's co-authors include Caiming Zhang, Xiaofeng Zhang, Yilong Yin, Qiang Guo, Yuanfeng Zhou, Jin‐Xing Hao, Yu Can Fu, Fenzhen Su, Yunfeng Zhang and Xiao Pan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Shanshan Gao

54 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanshan Gao China 11 194 51 49 40 32 65 445
Fana Tangara Mali 9 76 0.4× 32 0.6× 83 1.7× 12 0.3× 24 0.8× 13 420
Mohammad Shahid India 12 142 0.7× 39 0.8× 105 2.1× 7 0.2× 14 0.4× 38 468
Shuai Zheng China 12 224 1.2× 20 0.4× 222 4.5× 21 0.5× 50 1.6× 40 622
Zaidah Ibrahim Malaysia 14 176 0.9× 52 1.0× 96 2.0× 12 0.3× 7 0.2× 65 596
Yusheng Xu China 6 85 0.4× 27 0.5× 46 0.9× 7 0.2× 25 0.8× 19 295
Xi Yu China 12 127 0.7× 23 0.5× 112 2.3× 5 0.1× 30 0.9× 68 466
Kanwarpartap Singh Gill India 10 83 0.4× 19 0.4× 155 3.2× 5 0.1× 19 0.6× 192 662
Ashraf S. Hussein Egypt 10 170 0.9× 35 0.7× 61 1.2× 17 0.4× 9 0.3× 41 346
Yue Yang China 13 116 0.6× 54 1.1× 200 4.1× 4 0.1× 27 0.8× 50 527
Hannu Kauppinen Finland 10 344 1.8× 64 1.3× 52 1.1× 65 1.6× 10 0.3× 14 547

Countries citing papers authored by Shanshan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Gao. A scholar is included among the top collaborators of Shanshan Gao 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 Gao. Shanshan Gao 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.
Gao, Shanshan, Sijie Li, Haojun Huang, et al.. (2025). Assessment of particle shape and size effects on biomass pyrolysis products distribution and reaction kinetics. Applied Thermal Engineering. 271. 126334–126334. 6 indexed citations
2.
Gao, Shanshan, et al.. (2024). Perceive, Reason, and Align: Context-guided cross-modal correlation learning for image–text retrieval. Applied Soft Computing. 154. 111395–111395. 1 indexed citations
3.
Gao, Shanshan, et al.. (2024). Deep Plug-and-Play Non-Iterative Cluster for 3D Global Feature Extraction. ACM Transactions on Multimedia Computing Communications and Applications. 20(10). 1–18. 1 indexed citations
4.
Gao, Shanshan, et al.. (2024). Aggregating Global and Local Representations via Hybrid Transformer for Video Deraining. IEEE Transactions on Circuits and Systems for Video Technology. 34(8). 7512–7522. 7 indexed citations
5.
Zhang, Rui, Runlin Gao, Hang Liu, et al.. (2024). Supramolecular structure and in vitro digestive properties of plasma-treated corn starches varying in amylose content. International Journal of Biological Macromolecules. 282(Pt 1). 136758–136758. 4 indexed citations
6.
Gao, Shanshan, et al.. (2023). An Adaptive Sample Assignment Network for Tiny Object Detection. IEEE Transactions on Multimedia. 26. 2918–2931. 7 indexed citations
7.
Zhang, Yunfeng, et al.. (2023). Underwater Image Enhancement Using Deep Transfer Learning Based on a Color Restoration Model. IEEE Journal of Oceanic Engineering. 48(2). 489–514. 25 indexed citations
8.
Gao, Shanshan, et al.. (2022). Effects of Erythronium sibiricum bulb polysaccharides on oxidative stress in asthmatic mice. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Gao, Shanshan, et al.. (2022). Tooth instance segmentation based on capturing dependencies and receptive field adjustment in cone beam computed tomography. Computer Animation and Virtual Worlds. 33(5). 12 indexed citations
10.
Gao, Shanshan, et al.. (2022). Optimisation of enzyme-assisted extraction of Erythronium sibiricum bulb polysaccharide and its effects on immunomodulation. Glycoconjugate Journal. 39(3). 357–368. 15 indexed citations
11.
Yang, Dongdong, et al.. (2021). Research of insomnia on traditional Chinese medicine diagnosis and treatment based on machine learning. Chinese Medicine. 16(1). 2–2. 24 indexed citations
12.
Gao, Shanshan & Jing Chi. (2021). Exploration on the Cultivation of Compound Innovative Talents for Graduate Students Majoring in Computer in Colleges of Finance and Economics. DEStech Transactions on Economics Business and Management.
13.
Gao, Shanshan, et al.. (2020). Coarse to Fine: Weak Feature Boosting Network for Salient Object Detection. Computer Graphics Forum. 39(7). 411–420. 1 indexed citations
14.
Gao, Shanshan, Quang Tran, & Vinhthuy Phan. (2019). Understand Effective Coverage by Mapped Reads using Genome Repeat Complexity. EPiC series in computing. 60. 65–55.
15.
Gao, Shanshan, et al.. (2016). Tolerance and Its Zinc Bioaccumulation Characteristic of Sesuvium portulacastrum to Zinc. 14(4). 567. 2 indexed citations
16.
Gao, Shanshan, et al.. (2016). Saliency detection based on superpixels clustering and stereo disparity. Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao. 31(1). 68–80. 1 indexed citations
17.
Tran, Quang, Shanshan Gao, & Vinhthuy Phan. (2016). Analysis of optimal alignments unfolds aligners’ bias in existing variant profiles. BMC Bioinformatics. 17(S13). 349–349. 3 indexed citations
18.
Zhang, Wenhua, Shanshan Gao, Jing Chi, Hui Liu, & Yuanfeng Zhou. (2016). Single Image Dehazing Method under the Influence of Un-uniform Illumination. 17. 233–238. 2 indexed citations
19.
Chi, Jing, Shanshan Gao, Yunfeng Zhang, & Caiming Zhang. (2015). A region-based expression tracking algorithm for spacetime faces. Computers & Graphics. 51. 98–105. 1 indexed citations
20.
Liu, Cuiyun, Caiming Zhang, & Shanshan Gao. (2014). A Method Based on Geodesic Distance for Image Segmentation and Denoising. Research Journal of Applied Sciences Engineering and Technology. 7(9). 1837–1841. 1 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.

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