Yuan Cao

9.8k total citations
47 papers, 783 citations indexed

About

Yuan Cao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiation. According to data from OpenAlex, Yuan Cao has authored 47 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 5 papers in Radiation. Recurrent topics in Yuan Cao's work include Advanced Neural Network Applications (12 papers), Topic Modeling (9 papers) and Natural Language Processing Techniques (9 papers). Yuan Cao is often cited by papers focused on Advanced Neural Network Applications (12 papers), Topic Modeling (9 papers) and Natural Language Processing Techniques (9 papers). Yuan Cao collaborates with scholars based in United States, China and South Korea. Yuan Cao's co-authors include Quanquan Gu, Yonghui Wu, Dongruo Zhou, Difan Zou, Ron J. Weiss, Ankur Bapna, Orhan Fırat, Bin Yu, Feng Yan and Yu Zhang and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Access and IEEE Transactions on Power Delivery.

In The Last Decade

Yuan Cao

45 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan Cao United States 13 463 264 87 64 48 47 783
Rongyao Hu China 18 687 1.5× 731 2.8× 51 0.6× 39 0.6× 79 1.6× 42 1.2k
Salah Rifai Canada 5 541 1.2× 462 1.8× 130 1.5× 12 0.2× 29 0.6× 7 931
E. A. Zanaty Egypt 14 262 0.6× 266 1.0× 35 0.4× 60 0.9× 19 0.4× 52 629
Jiangzhang Gan China 13 431 0.9× 293 1.1× 24 0.3× 36 0.6× 53 1.1× 24 716
Xavier Muller Canada 5 540 1.2× 465 1.8× 136 1.6× 12 0.2× 27 0.6× 5 931
Olivier Breuleux Canada 5 434 0.9× 351 1.3× 137 1.6× 12 0.2× 41 0.9× 5 874
Harm de Vries Canada 7 565 1.2× 637 2.4× 162 1.9× 17 0.3× 26 0.5× 14 1.1k
Li Guo China 11 254 0.5× 261 1.0× 25 0.3× 24 0.4× 26 0.5× 66 524
Hao Fu China 10 577 1.2× 346 1.3× 55 0.6× 24 0.4× 17 0.4× 25 933
Luping Ji China 18 332 0.7× 453 1.7× 77 0.9× 21 0.3× 13 0.3× 57 938

Countries citing papers authored by Yuan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Cao. A scholar is included among the top collaborators of Yuan Cao 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 Yuan Cao. Yuan Cao 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.
Chen, Hongyu, et al.. (2024). Dynamic prediction and optimization of tunneling parameters with high reliability based on a hybrid intelligent algorithm. Information Fusion. 114. 102705–102705. 21 indexed citations
2.
Cao, Yuan, et al.. (2024). Intelligent dynamic control of shield parameters using a hybrid algorithm and digital twin platform. Automation in Construction. 169. 105882–105882. 7 indexed citations
3.
Cao, Yuan, et al.. (2024). Region-Based Active Learning for Insulator Defect Diagnosis Using Aerial Images of Electric Transmission Networks. IEEE Transactions on Power Delivery. 39(5). 2943–2955. 2 indexed citations
4.
Cao, Yuan, et al.. (2024). CapNet: Learning Insulator Self-Blast From Bounding Box. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 1 indexed citations
5.
Cao, Yuan, et al.. (2024). Learn to Cluster Faces with Better Subgraphs. 2780–2784.
6.
Cao, Yuan, et al.. (2023). Path Planning for Searching Submarine With Cooperative Coverage of Fixed-Wing UAVs Cluster in Complex Boundary Sea Area. IEEE Sensors Journal. 23(24). 30070–30083. 7 indexed citations
7.
Cao, Yuan, et al.. (2021). Technical Composition and Creation of Interactive Installation Art Works under the Background of Artificial Intelligence. Mathematical Problems in Engineering. 2021. 1–11. 6 indexed citations
8.
Wang, Zirui, Yulia Tsvetkov, Orhan Fırat, & Yuan Cao. (2021). Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. arXiv (Cornell University). 3 indexed citations
9.
Cao, Yuan, Guangming Shi, Tianzhu Zhang, et al.. (2021). Bayesian Correlation Filter Learning With Gaussian Scale Mixture Model for Visual Tracking. IEEE Transactions on Circuits and Systems for Video Technology. 32(5). 3085–3098. 7 indexed citations
10.
Cao, Yuan, Hao Xu, & Qiang Yang. (2021). Computer-vision-based abnormal human behavior detection and analysis in electric power plant. 1578–1583. 4 indexed citations
11.
Zhou, Zhongbao, et al.. (2020). Dynamic Performance Evaluation of Blockchain Technologies. IEEE Access. 8. 217762–217772. 10 indexed citations
12.
Che, Tong, Ruixiang Zhang, Jascha Sohl‐Dickstein, et al.. (2020). Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling. arXiv (Cornell University). 33. 12275–12287. 3 indexed citations
13.
Chen, Zixiang, Yuan Cao, Quanquan Gu, & Tong Zhang. (2020). A generalized neural tangent kernel analysis for two-layer neural networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 33. 13363–13373. 4 indexed citations
14.
Zou, Difan, Yuan Cao, Dongruo Zhou, & Quanquan Gu. (2019). Gradient descent optimizes over-parameterized deep ReLU networks. Machine Learning. 109(3). 467–492. 121 indexed citations
15.
Cao, Yuan & Quanquan Gu. (2019). Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks. arXiv (Cornell University). 32. 10835–10845. 17 indexed citations
16.
Ye, Jia, Melvin Johnson, Wolfgang Macherey, et al.. (2019). Leveraging Weakly Supervised Data to Improve End-to-end Speech-to-text Translation. 7180–7184. 81 indexed citations
17.
Bapna, Ankur, et al.. (2018). Training Deeper Neural Machine Translation Models with Transparent Attention. 3028–3033. 67 indexed citations
18.
Cao, Yuan, Kwang Hyeon Kim, Nam Kwon Lee, et al.. (2015). Development of a 3D optical scanner for evaluating patient-specific dose distributions. Physica Medica. 31(5). 553–559. 9 indexed citations
19.
Kumar, Gaurav, Yuan Cao, Ryan Cotterell, et al.. (2014). Translations of the Callhome Egyptian Arabic corpus for conversational speech translation.. IWSLT. 10 indexed citations
20.
Lee, Sang‐Hoon, Ju Hyun Shim, Ki Don Chang, et al.. (2014). Which Is an Optimizing Modality for IMRT Prostate Case in Linac Step and Shoot, Tomotherapy, RapidArc, VMAT, and Proton Using New Plan Evaluation Scoring Index and Dosimetric Physical Index?. International Journal of Radiation Oncology*Biology*Physics. 90(1). S874–S874. 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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