Yongxin Yang

13.8k total citations · 1 hit paper
91 papers, 3.8k citations indexed

About

Yongxin Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yongxin Yang has authored 91 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 13 papers in Molecular Biology. Recurrent topics in Yongxin Yang's work include Domain Adaptation and Few-Shot Learning (21 papers), Multimodal Machine Learning Applications (20 papers) and Human Pose and Action Recognition (8 papers). Yongxin Yang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (21 papers), Multimodal Machine Learning Applications (20 papers) and Human Pose and Action Recognition (8 papers). Yongxin Yang collaborates with scholars based in China, United Kingdom and Australia. Yongxin Yang's co-authors include Timothy M. Hospedales, Yi-Zhe Song, Tao Xiang, Da Li, Kaiyang Zhou, Ayan Kumar Bhunia, Jianshu Zhang, Andrea Cavallaro, Cong Liu and Jifei Song and has published in prestigious journals such as Journal of Clinical Oncology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Biomaterials.

In The Last Decade

Yongxin Yang

87 papers receiving 3.7k citations

Hit Papers

Learning to Generalize: Meta-Learning for Domain Generali... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongxin Yang China 30 2.1k 1.5k 416 266 250 91 3.8k
Wenjun Zhang China 41 5.5k 2.6× 1.1k 0.7× 530 1.3× 464 1.7× 190 0.8× 465 8.2k
Jinqiao Wang China 33 2.8k 1.3× 785 0.5× 329 0.8× 129 0.5× 74 0.3× 227 3.6k
Lingqiao Liu Australia 32 2.9k 1.4× 2.4k 1.7× 584 1.4× 153 0.6× 256 1.0× 105 4.7k
Yan Xu China 33 1.6k 0.8× 1.4k 1.0× 322 0.8× 413 1.6× 915 3.7× 242 3.9k
Xudong Cao China 35 2.1k 1.0× 481 0.3× 610 1.5× 477 1.8× 97 0.4× 132 5.5k
Ting Yao China 45 7.4k 3.5× 3.4k 2.3× 741 1.8× 60 0.2× 284 1.1× 221 9.6k
Shengping Zhang China 37 3.7k 1.7× 406 0.3× 520 1.3× 253 1.0× 72 0.3× 160 5.0k
Xinchao Wang China 41 3.6k 1.7× 1.7k 1.2× 652 1.6× 69 0.3× 254 1.0× 200 5.8k
Wei Sun China 33 1.8k 0.8× 223 0.2× 229 0.6× 282 1.1× 134 0.5× 195 3.5k

Countries citing papers authored by Yongxin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yongxin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongxin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yongxin Yang. A scholar is included among the top collaborators of Yongxin Yang 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 Yongxin Yang. Yongxin Yang 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.
Yang, Yongxin, et al.. (2024). Value of the NF-κB signalling pathway and the DNA repair gene PARP1 in predicting distant metastasis after breast cancer surgery. Scientific Reports. 14(1). 4402–4402. 1 indexed citations
2.
Yang, Yongxin, et al.. (2024). Gastric calcifying fibrous tumor. Journal of Gastrointestinal Surgery. 28(4). 594–595.
3.
Chen, Zefu, Yu Zheng, Yongxin Yang, et al.. (2022). PhenoApt leverages clinical expertise to prioritize candidate genes via machine learning. The American Journal of Human Genetics. 109(2). 270–281. 6 indexed citations
4.
Yang, Yongxin & Timothy M. Hospedales. (2022). Partial Index Tracking: A Meta-Learning Approach. SSRN Electronic Journal. 1 indexed citations
5.
Sain, Aneeshan, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, & Yi-Zhe Song. (2021). StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval. 8500–8509. 73 indexed citations
6.
Bhunia, Ayan Kumar, Pinaki Nath Chowdhury, Aneeshan Sain, et al.. (2021). More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval. 4245–4254. 45 indexed citations
7.
Bhunia, Ayan Kumar, Pinaki Nath Chowdhury, Yongxin Yang, et al.. (2021). Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. Edinburgh Research Explorer (University of Edinburgh). 5668–5677. 40 indexed citations
8.
Li, Yiying, et al.. (2020). Online Meta-Critic Learning for Off-Policy Actor-Critic Methods. arXiv (Cornell University). 33. 17662–17673. 2 indexed citations
9.
Bhunia, Ayan Kumar, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, & Yi-Zhe Song. (2020). Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval. Edinburgh Research Explorer. 9776–9785. 80 indexed citations
10.
Pang, Kaiyue, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, & Yi-Zhe Song. (2020). Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval. 10344–10352. 57 indexed citations
11.
Luo, Ling, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, & Yi-Zhe Song. (2020). Towards 3D VR-Sketch to 3D Shape Retrieval. 81–90. 8 indexed citations
12.
Li, Da, Jianshu Zhang, Yongxin Yang, et al.. (2019). Episodic Training for Domain Generalization. Edinburgh Research Explorer. 1446–1455. 243 indexed citations
13.
Zheng, Yu, Yongxin Yang, & Bowei Chen. (2019). Gated deep neural networks for implied volatility surfaces. arXiv (Cornell University). 2 indexed citations
14.
Sung, Flood, et al.. (2018). Deep Comparison: Relation Columns for Few-Shot Learning.. arXiv (Cornell University). 10 indexed citations
15.
Yang, Yongxin, Xin Du, Xin Qi, et al.. (2018). Brain Structures Associated with Internet Addiction Tendency in Adolescent Online Game Players. Frontiers in Psychiatry. 9. 67–67. 35 indexed citations
16.
Yang, Yongxin, et al.. (2013). The influence of Satir family therapy on family cohesion and family adaptability in internet addictive disorder. Zhonghua xingwei yixue yu naokexue zazhi. 22(5). 425–427. 3 indexed citations
17.
Yang, Yongxin, Zhiwen Zhang, Lingli Chen, & Yaping Li. (2010). Effect of multifold charge groups and imidazole-4-carboxaldehyde on physicochemical characteristics and transfection of cationic polyphosphazenes/DNA complexes. International Journal of Pharmaceutics. 390(2). 191–197. 6 indexed citations
18.
Yang, Yongxin, et al.. (2009). A comparative study on the clinical effect to internet addiction with different intervention methods and therapy. Zhonghua xingwei yixue yu naokexue zazhi. 18(3). 242–245. 1 indexed citations
19.
Xu, Zhenghong, Wangwen Gu, Jun Huang, et al.. (2004). In vitro and in vivo evaluation of actively targetable nanoparticles for paclitaxel delivery. International Journal of Pharmaceutics. 288(2). 361–368. 116 indexed citations
20.
Yang, Yongxin & David M. Livermore. (1989). Interactions of FCE 22101 with Class I  -lactamases. Journal of Antimicrobial Chemotherapy. 23(suppl C). 85–94. 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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