Shasha Li

511 total citations · 1 hit paper
14 papers, 349 citations indexed

About

Shasha Li is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Plant Science. According to data from OpenAlex, Shasha Li has authored 14 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 2 papers in Plant Science. Recurrent topics in Shasha Li's work include Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (4 papers) and Visual Attention and Saliency Detection (3 papers). Shasha Li is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (4 papers) and Visual Attention and Saliency Detection (3 papers). Shasha Li collaborates with scholars based in China, United States and Australia. Shasha Li's co-authors include Yao Li, Yongjun Li, Mengjun Li, Lijia Chen, Yue Cong, Jinggong Guo, Jinjin Liu, David B. Lovejoy, Son N. Tran and Xiping Liu and has published in prestigious journals such as IEEE Access, Optics Communications and Helvetica Chimica Acta.

In The Last Decade

Shasha Li

11 papers receiving 324 citations

Hit Papers

YOLO-FIRI: Improved YOLOv... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shasha Li China 6 198 119 50 41 41 14 349
Hongxing Chang China 10 228 1.2× 92 0.8× 49 1.0× 108 2.6× 35 0.9× 47 385
Yuxuan Li China 7 219 1.1× 118 1.0× 141 2.8× 42 1.0× 45 1.1× 11 481
Moran Ju China 9 208 1.1× 154 1.3× 66 1.3× 24 0.6× 83 2.0× 31 429
Lixia Deng China 8 191 1.0× 104 0.9× 27 0.5× 40 1.0× 27 0.7× 28 342
Li Su China 12 166 0.8× 97 0.8× 26 0.5× 9 0.2× 35 0.9× 53 361
Jiachen Yu China 4 182 0.9× 35 0.3× 52 1.0× 49 1.2× 38 0.9× 6 385
Xiao Zhou China 11 82 0.4× 135 1.1× 33 0.7× 19 0.5× 49 1.2× 45 334
Jie Lei China 3 169 0.9× 78 0.7× 34 0.7× 45 1.1× 18 0.4× 3 294
Lingyun Bi China 9 217 1.1× 113 0.9× 56 1.1× 52 1.3× 46 1.1× 13 425

Countries citing papers authored by Shasha Li

Since Specialization
Citations

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

Fields of papers citing papers by Shasha Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shasha Li

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

All Works

14 of 14 papers shown
1.
Li, Shasha, et al.. (2024). Three-dimensional sound source localization system based on fiber optic sensor array with an adaptive algorithm. Optics Communications. 559. 130383–130383. 3 indexed citations
3.
Su, Wei, et al.. (2022). Proprioception-Driven Wearer Pose Estimation for Egocentric Video. 2022 26th International Conference on Pattern Recognition (ICPR). 37. 3728–3735. 2 indexed citations
4.
Du, Ming, Arnau Ramisa, Mengjiao Wang, et al.. (2022). Amazon Shop the Look: A Visual Search System for Fashion and Home. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2822–2830. 8 indexed citations
5.
Li, Shasha, et al.. (2021). YOLO-FIRI: Improved YOLOv5 for Infrared Image Object Detection. IEEE Access. 9. 141861–141875. 197 indexed citations breakdown →
6.
Li, Yao, Mengjun Li, Shasha Li, & Yongjun Li. (2021). Improved YOLOv5 for Remote Sensing Rotating Object Detection. 5 indexed citations
7.
Li, Shasha, Mengjun Li, Pengfei Li, & Yongjun Li. (2020). Image compression algorithm research based on improved LSTM. 1. 111–114.
8.
Fei, Rong, Shasha Li, Qingzheng Xu, & Kun Liu. (2020). Object detection method on station logo with single shot multi‐box detector. The Journal of Engineering. 2020(13). 607–614. 1 indexed citations
9.
Li, Yongjun, et al.. (2020). YOLO-ACN: Focusing on Small Target and Occluded Object Detection. IEEE Access. 8. 227288–227303. 103 indexed citations
10.
Li, Shasha, Jinjin Liu, Xiping Liu, et al.. (2018). Stilbenes from Veratrum maackii Regel Protect against Ethanol-Induced DNA Damage in Mouse Cerebellum and Cerebral Cortex. ACS Chemical Neuroscience. 9(7). 1616–1624. 15 indexed citations
11.
Cong, Yue, et al.. (2016). Pharmacokinetics and metabolism study of veratramine in mice after oral administration using LC‐MS/MS. Biomedical Chromatography. 30(9). 1515–1522. 8 indexed citations
12.
Li, Shasha & Weihong Deng. (2015). Face recognition based on random feature. 34. 1–4. 1 indexed citations
13.
Cong, Yue, Jing Li, Qing‐Chun Zhang, Jinggong Guo, & Shasha Li. (2015). Steroidal Alkaloids from Veratrum dahuricum (Turcz.) Loes. f. with Genotoxicity on Brain Cell DNA in Mice. Helvetica Chimica Acta. 98(1). 85–91. 6 indexed citations
14.
Kong, Wei, Shasha Li, & Xiaoyang Mou. (2012). ICA-based Gene Expression Modules Exploring for Alzheimer's Disease. 821–824.

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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