Yi Shen

4.1k total citations · 1 hit paper
99 papers, 2.5k citations indexed

About

Yi Shen is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Yi Shen has authored 99 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 20 papers in Molecular Biology and 20 papers in Biomedical Engineering. Recurrent topics in Yi Shen's work include Image Retrieval and Classification Techniques (15 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Force Microscopy Techniques and Applications (9 papers). Yi Shen is often cited by papers focused on Image Retrieval and Classification Techniques (15 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Force Microscopy Techniques and Applications (9 papers). Yi Shen collaborates with scholars based in China, United States and Germany. Yi Shen's co-authors include Cordelia Schmid, Hang Zhao, Dragomir Anguelov, Jiyang Gao, Chen Sun, Congcong Li, Jianping Fan, Ao Li, Yue Mao and Werner Stuetzle and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Yi Shen

94 papers receiving 2.4k citations

Hit Papers

VectorNet: Encoding HD Maps and Agent Dynamics From Vecto... 2020 2026 2022 2024 2020 100 200 300 400 500
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. VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation
    2020 534 citations Jiyang Gao, Chen Sun et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Shen China 25 514 504 493 437 286 99 2.5k
Yidong Li China 39 616 1.2× 854 1.7× 947 1.9× 261 0.6× 275 1.0× 285 4.7k
Yiliang Liu China 32 403 0.8× 348 0.7× 171 0.3× 93 0.2× 160 0.6× 198 3.7k
Hyeyoung Park South Korea 21 223 0.4× 270 0.5× 154 0.3× 398 0.9× 395 1.4× 114 2.0k
Yuan Wang China 30 299 0.6× 661 1.3× 150 0.3× 113 0.3× 544 1.9× 409 4.2k
Fei Xia China 36 843 1.6× 1.9k 3.9× 893 1.8× 192 0.4× 137 0.5× 223 4.4k
Ziming Zhang China 28 803 1.6× 546 1.1× 1.3k 2.6× 62 0.1× 572 2.0× 205 3.8k
Lan Yan China 33 349 0.7× 334 0.7× 319 0.6× 96 0.2× 259 0.9× 182 3.3k
Di Wu China 29 107 0.2× 503 1.0× 294 0.6× 152 0.3× 406 1.4× 166 3.4k
Ralf Mikut Germany 35 1.2k 2.3× 561 1.1× 276 0.6× 79 0.2× 394 1.4× 278 4.0k
Xiaoming Jin China 31 907 1.8× 419 0.8× 251 0.5× 60 0.1× 98 0.3× 264 3.7k

Countries citing papers authored by Yi Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yi Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Shen. A scholar is included among the top collaborators of Yi 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 Yi Shen. Yi 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.
Zhang, Tao, Tao Li, Yi Shen, et al.. (2025). Enhanced Kinetics and Stability of Zn‐MnO 2 Batteries with a Multifunctional TiO 2 Coating. Advanced Materials. 37(34). e2505082–e2505082. 3 indexed citations
2.
Yang, Mingyang, Maohua Li, Yi Shen, et al.. (2024). High-performance single crystal diamond pixel photodetector with nanosecond rise time for solar-blind imaging. Diamond and Related Materials. 144. 110996–110996. 15 indexed citations
3.
Deng, Jiangshan, Tingyu Yi, Liming Wei, et al.. (2024). Neuroprotective Effects of Rapid Local Ischemic Postconditioning in Successful Endovascular Thrombectomy Patients. Stroke. 55(12). 2896–2900. 1 indexed citations
4.
Liu, Qiuyue, Zhiyong Sun, Yizhen Li, et al.. (2024). Superhydrophobic Polysilsesquioxane Nanospike/Glass Microfiber Composite for Separation of Oil–Water Mixtures. ACS Applied Nano Materials. 7(10). 12111–12120. 3 indexed citations
5.
Liu, Yihe, Yi Shen, & Yuanfei Dai. (2024). Enhancing Temporal Knowledge Graph Representation with Curriculum Learning. Electronics. 13(17). 3397–3397. 1 indexed citations
6.
Dai, Xinyi, Wei Nie, Hans‐Günther Machens, et al.. (2024). Electrospinning based biomaterials for biomimetic fabrication, bioactive protein delivery and wound regenerative repair. Regenerative Biomaterials. 12. rbae139–rbae139. 7 indexed citations
7.
Zhong, Yulong, Yi Shen, Daniel P. Miller, et al.. (2023). Aromatic pentaamide macrocycles bind anions with high affinity for transport across biomembranes. Nature Chemistry. 15(11). 1559–1568. 37 indexed citations
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Zhao, Hang, Jiyang Gao, Tian Lan, et al.. (2020). TNT: Target-driveN Trajectory Prediction. arXiv (Cornell University). 895–904. 5 indexed citations
10.
Cheng, Tao, Zhiheng Zhang, Hua Shen, et al.. (2020). Topically applicated curcumin/gelatin-blended nanofibrous mat inhibits pancreatic adenocarcinoma by increasing ROS production and endoplasmic reticulum stress mediated apoptosis. Journal of Nanobiotechnology. 18(1). 126–126. 27 indexed citations
11.
Liu, Yang, Jianfeng He, Yi Shen, et al.. (2016). Nanoscopic characterization of the water vapor-salt interfacial layer reveals a unique biphasic adsorption process. Scientific Reports. 6(1). 31688–31688. 4 indexed citations
12.
Shen, Yi, Heming Yao, Ao Li, & Minghui Wang. (2016). CSCdb: a cancer stem cells portal for markers, related genes and functional information. Database. 2016. baw023–baw023. 15 indexed citations
13.
Shen, Yi, et al.. (2015). Discovering key regulatory mechanisms from single-factor and multi-factor regulations in glioblastoma utilizing multi-dimensional data. Molecular BioSystems. 11(8). 2345–2353. 2 indexed citations
14.
Zhou, Zhong, Yi Shen, Muhammad Riaz Khan, & Ao Li. (2015). LncReg: a reference resource for lncRNA-associated regulatory networks. Database. 2015. bav083–bav083. 42 indexed citations
15.
Czajkowsky, Daniel M., Jielin Sun, Yi Shen, & Zhifeng Shao. (2015). Single molecule compression reveals intra-protein forces drive cytotoxin pore formation. eLife. 4. e08421–e08421. 14 indexed citations
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Chen, Liang, Yanyan Miao, Lin Chen, et al.. (2014). The role of low levels of fullerene C60 nanocrystals on enhanced learning and memory of rats through persistent CaMKII activation. Biomaterials. 35(34). 9269–9279. 17 indexed citations
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20.
Zhang, Xiaodong, et al.. (1995). GRAPH: A Tool for Visualizing Communication and Optimizing Layout in Data-Parallel Programs.. Proceedings of the International Conference on Parallel Processing. 121–129. 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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