Mingyi Shi

681 total citations
18 papers, 436 citations indexed

About

Mingyi Shi is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Mingyi Shi has authored 18 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Control and Systems Engineering. Recurrent topics in Mingyi Shi's work include Human Pose and Action Recognition (3 papers), Human Motion and Animation (3 papers) and Bioactive Compounds and Antitumor Agents (2 papers). Mingyi Shi is often cited by papers focused on Human Pose and Action Recognition (3 papers), Human Motion and Animation (3 papers) and Bioactive Compounds and Antitumor Agents (2 papers). Mingyi Shi collaborates with scholars based in China, Hong Kong and Israel. Mingyi Shi's co-authors include Penghua Fang, Zhenwen Zhang, Ping Bo, Mei Yu, Baoquan Chen, Kfir Aberman, Xiaofang Li, Dani Lischinski, Daniel Cohen‐Or and Taku Komura and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Small and ACM Transactions on Graphics.

In The Last Decade

Mingyi Shi

17 papers receiving 431 citations

Peers

Mingyi Shi
Jinliang Chen China
Francesca Baldini Italy
Ruiguo Li China
Hongli Yan China
Vahid Soleimani Iran
Xiong Li China
Yintao Zhang China
Yu‐Wei Chang Taiwan
Gang Bai China
Jiabing Wang China
Jinliang Chen China
Mingyi Shi
Citations per year, relative to Mingyi Shi Mingyi Shi (= 1×) peers Jinliang Chen

Countries citing papers authored by Mingyi Shi

Since Specialization
Citations

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

Fields of papers citing papers by Mingyi Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyi Shi

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

All Works

18 of 18 papers shown
1.
2.
Shi, Mingyi, et al.. (2024). Taming Diffusion Probabilistic Models for Character Control. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–10. 4 indexed citations
3.
Sun, Qiang, Lu Yang, Yuxin Zhao, et al.. (2023). Promising Nanomedicines of Shikonin for Cancer Therapy. International Journal of Nanomedicine. Volume 18. 1195–1218. 44 indexed citations
4.
Zhao, Bolin, Yuxin Zhao, Mingyi Shi, et al.. (2023). Polysaccharide‐Based Stimulus‐Responsive Nanomedicines for Combination Cancer Immunotherapy. Small. 19(23). e2206211–e2206211. 47 indexed citations
5.
Lu, Jing, Kai Liu, Long Xie, et al.. (2023). Hypericin as a promising natural bioactive naphthodianthrone: A review of its pharmacology, pharmacokinetics, toxicity, and safety. Phytotherapy Research. 37(12). 5639–5656. 15 indexed citations
6.
Gu, Huan, et al.. (2023). Topical treatment of tea saponin stabilized silybin nanocrystal gel reduced oxidative stress in UV-induced skin damage. Biochemical and Biophysical Research Communications. 660. 82–87. 4 indexed citations
7.
Hu, Chuan, Yihan Wu, Mingyi Shi, et al.. (2023). Recent advances in nanotechnology for combating Alzheimer's disease. Materials Chemistry Frontiers. 7(21). 5171–5186. 4 indexed citations
8.
Shi, Mingyi, Sebastian Starke, Yuting Ye, Taku Komura, & Jungdam Won. (2023). PhaseMP: Robust 3D Pose Estimation via Phase-conditioned Human Motion Prior. 14679–14691. 10 indexed citations
9.
Zhang, Xumin, Kai Liu, Mingyi Shi, et al.. (2021). Therapeutic potential of catalpol and geniposide in Alzheimer’s and Parkinson’s diseases: A snapshot of their underlying mechanisms. Brain Research Bulletin. 174. 281–295. 31 indexed citations
10.
Shi, Mingyi, et al.. (2021). Normalized Human Pose Features for Human Action Video Alignment. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 11501–11511. 8 indexed citations
11.
Shi, Mingyi, Kfir Aberman, Andreas Aristidou, et al.. (2020). MotioNet. ACM Transactions on Graphics. 40(1). 1–15. 63 indexed citations
12.
Fang, Penghua, et al.. (2020). Baicalin and its aglycone: a novel approach for treatment of metabolic disorders. Pharmacological Reports. 72(1). 13–23. 72 indexed citations
13.
Chen, Baoquan, et al.. (2020). Visual Data Analysis and Simulation Prediction for COVID-19. 6(1). 95–114. 15 indexed citations
14.
15.
Zhang, Lei, Penghua Fang, Lijuan Shao, et al.. (2019). Galanin expression is down-regulated in patients with gastric cancer. Journal of International Medical Research. 47(3). 1241–1249. 14 indexed citations
16.
Fang, Penghua, Mei Yu, Mingyi Shi, et al.. (2019). Treatment with celastrol protects against obesity through suppression of galanin-induced fat intake and activation of PGC-1α/GLUT4 axis-mediated glucose consumption. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(6). 1341–1350. 44 indexed citations
17.
Fang, Penghua, Mei Yu, Min Wen, et al.. (2018). Effect of baicalin on GLUT4 expression and glucose uptake in myotubes of rats. Life Sciences. 196. 156–161. 14 indexed citations
18.
Aberman, Kfir, Jing Liao, Mingyi Shi, et al.. (2018). Neural best-buddies. ACM Transactions on Graphics. 37(4). 1–14. 44 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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