Yuli Gao

1.8k total citations · 1 hit paper
50 papers, 1.2k citations indexed

About

Yuli Gao is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Yuli Gao has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 16 papers in Molecular Biology and 7 papers in Artificial Intelligence. Recurrent topics in Yuli Gao's work include Image Retrieval and Classification Techniques (26 papers), Advanced Image and Video Retrieval Techniques (26 papers) and Video Analysis and Summarization (10 papers). Yuli Gao is often cited by papers focused on Image Retrieval and Classification Techniques (26 papers), Advanced Image and Video Retrieval Techniques (26 papers) and Video Analysis and Summarization (10 papers). Yuli Gao collaborates with scholars based in China, United States and Germany. Yuli Gao's co-authors include Jianping Fan, Hangzai Luo, Ramesh Jain, Guangyou Xu, Xiangyang Xue, Daniel A. Keim, Jun Xiao, Zongmin Li, Qi Liu and Yanan Yu and has published in prestigious journals such as Nature Methods, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Yuli Gao

48 papers receiving 1.1k citations

Hit Papers

Exosome-like nanoparticles derived from fruits, vegetable... 2024 2026 2025 2024 25 50 75
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. Exosome-like nanoparticles derived from fruits, vegetables, and herbs: innovative strategies of therapeutic and drug delivery
    2024 78 citations Bo Zhao, Xinchi Jiang et al. Theranostics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuli Gao China 19 718 298 228 97 62 50 1.2k
Da Kuang United States 12 226 0.3× 398 1.3× 277 1.2× 74 0.8× 62 1.0× 25 1.0k
Stephen V. Rice United States 12 361 0.5× 157 0.5× 150 0.7× 90 0.9× 32 0.5× 27 691
Jingyu Hou China 13 136 0.2× 339 1.1× 143 0.6× 91 0.9× 89 1.4× 82 687
Paul A. Stewart United States 15 157 0.2× 342 1.1× 124 0.5× 26 0.3× 187 3.0× 48 1.3k
De-Shuang Huang China 17 234 0.3× 663 2.2× 261 1.1× 46 0.5× 56 0.9× 36 1.0k
Luis Rueda Canada 19 106 0.1× 509 1.7× 289 1.3× 27 0.3× 94 1.5× 122 1.1k
Lei Cui China 19 590 0.8× 74 0.2× 448 2.0× 71 0.7× 28 0.5× 42 1.0k
Hüseyin Şeker United Kingdom 14 137 0.2× 219 0.7× 339 1.5× 17 0.2× 20 0.3× 106 880
Satya Prakash Yadav India 19 145 0.2× 151 0.5× 173 0.8× 74 0.8× 11 0.2× 89 1.3k
Cosmin Lazar Belgium 10 143 0.2× 1.0k 3.4× 277 1.2× 13 0.1× 133 2.1× 21 1.6k

Countries citing papers authored by Yuli Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yuli Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuli Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuli Gao. A scholar is included among the top collaborators of Yuli 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 Yuli Gao. Yuli 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, Yuli, Siqi Wu, Chi Zhou, et al.. (2025). Weakly supervised peptide-TCR binding prediction facilitates neoantigen identification. Cell Systems. 16(10). 101403–101403.
2.
Wang, Yiheng, Pu Li, Yuli Gao, et al.. (2025). Benchmarking algorithms for generalizable single-cell perturbation response prediction. Nature Methods. 23(2). 451–464. 1 indexed citations
3.
Zhao, Bo, Xinchi Jiang, Yuli Gao, et al.. (2024). Exosome-like nanoparticles derived from fruits, vegetables, and herbs: innovative strategies of therapeutic and drug delivery. Theranostics. 14(12). 4598–4621. 78 indexed citations breakdown →
4.
5.
Di, Qianqian, Xiaoli Li, Xibao Zhao, et al.. (2024). Kumujan B suppresses TNF-α-induced inflammatory response and alleviates experimental colitis in mice. Frontiers in Pharmacology. 15. 1427340–1427340. 1 indexed citations
6.
Gao, Yuli, et al.. (2023). Reply to: The pitfalls of negative data bias for the T-cell epitope specificity challenge. Nature Machine Intelligence. 5(10). 1063–1065. 4 indexed citations
7.
Gao, Yuli, Chengyu Zhu, Zhiting Wei, et al.. (2023). Pan-Peptide Meta Learning for T-cell receptor–antigen binding recognition. Nature Machine Intelligence. 5(3). 236–249. 83 indexed citations
8.
9.
Chang, Shanshan, Siyu Xiao, Yin Peng, et al.. (2022). PAD4-dependent citrullination of nuclear translocation of GSK3β promotes colorectal cancer progression via the degradation of nuclear CDKN1A. Neoplasia. 33. 100835–100835. 16 indexed citations
10.
Zhang, Qian, Chunmiao Jiang, Wenhao Ren, et al.. (2021). Circ‐LRP6 mediates epithelial‐mesenchymal transition and autophagy in oral squamous cell carcinomas. Journal of Oral Pathology and Medicine. 50(7). 660–667. 11 indexed citations
11.
Peng, Yin, Ying� Qin, Xiaojing Zhang, et al.. (2021). MiRNA-20b/SUFU/Wnt axis accelerates gastric cancer cell proliferation, migration and EMT. Heliyon. 7(4). e06695–e06695. 17 indexed citations
12.
Zheng, Jingjing, et al.. (2021). Enhanced autophagy suppresses inflammation-mediated bone loss through ROCK1 signaling in bone marrow mesenchymal stem cells. PubMed. 167. 203687–203687. 13 indexed citations
13.
Zhang, Xiaojing, Yin Peng, Yuan Yuan, et al.. (2020). Histone methyltransferase SET8 is regulated by miR-192/215 and induces oncogene-induced senescence via p53-dependent DNA damage in human gastric carcinoma cells. Cell Death and Disease. 11(10). 937–937. 26 indexed citations
14.
15.
Zhu, Hu, et al.. (2011). A luxS -dependent transcript profile of cell-to-cell communication in Klebsiella pneumoniae. Molecular BioSystems. 7(11). 3164–3168. 20 indexed citations
16.
Zhu, Hu, et al.. (2011). The Response of Type 2 Quorum Sensing in Klebsiella pneumoniae to a Fluctuating Culture Environment. DNA and Cell Biology. 31(4). 455–459. 16 indexed citations
17.
Xiao, Jun, et al.. (2010). iPhotobook. 1551–1554. 4 indexed citations
18.
Peng, Jinye, Noboru Babaguchi, Hangzai Luo, Yuli Gao, & Jianping Fan. (2009). Constructing Distributed Hippocratic Video Databases for Privacy-Preserving Online Patient Training and Counseling. IEEE Transactions on Information Technology in Biomedicine. 14(4). 1014–1026. 4 indexed citations
19.
Fan, Jianping, Yuli Gao, & Hangzai Luo. (2008). Integrating Concept Ontology and Multitask Learning to Achieve More Effective Classifier Training for Multilevel Image Annotation. IEEE Transactions on Image Processing. 17(3). 407–426. 102 indexed citations
20.
Luo, Hangzai, Jianping Fan, Yuli Gao, William Ribarsky, & Shin’ichi Satoh. (2006). Large-scale news video retrieval via visualization. 783–784. 2 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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