Yuan Cao

977 total citations
40 papers, 480 citations indexed

About

Yuan Cao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Yuan Cao has authored 40 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Yuan Cao's work include Advanced Image and Video Retrieval Techniques (11 papers), Topic Modeling (8 papers) and Image Retrieval and Classification Techniques (8 papers). Yuan Cao is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Topic Modeling (8 papers) and Image Retrieval and Classification Techniques (8 papers). Yuan Cao collaborates with scholars based in China, United States and Macao. Yuan Cao's co-authors include Jie Yang, Ruiming Liu, Jie Gui, Heng Qi, Haibo He, Keqiu Li, Hong Man, Haibo He, Matt Post and Jien Kato and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Yuan Cao

38 papers receiving 451 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 China 11 186 183 117 92 62 40 480
Xiangxiang Chu China 13 415 2.2× 257 1.4× 77 0.7× 53 0.6× 100 1.6× 27 637
Sheng Hong China 8 81 0.4× 214 1.2× 106 0.9× 68 0.7× 35 0.6× 11 330
Keisuke Kameyama Japan 9 185 1.0× 89 0.5× 51 0.4× 60 0.7× 44 0.7× 70 386
Yongping Zhai China 9 323 1.7× 163 0.9× 134 1.1× 49 0.5× 93 1.5× 23 533
Cong Leng China 8 454 2.4× 190 1.0× 78 0.7× 71 0.8× 30 0.5× 20 584
Zirui Wang China 12 286 1.5× 131 0.7× 89 0.8× 31 0.3× 38 0.6× 40 550
Nurullah Çalık Türkiye 12 74 0.4× 75 0.4× 134 1.1× 165 1.8× 36 0.6× 28 402
Zhimin Chen China 9 68 0.4× 139 0.8× 67 0.6× 63 0.7× 11 0.2× 45 276
Yang Jiao China 10 157 0.8× 74 0.4× 100 0.9× 48 0.5× 14 0.2× 46 402
Yongqiang Zhang China 12 371 2.0× 174 1.0× 32 0.3× 25 0.3× 74 1.2× 30 540

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.
Gui, Jie, et al.. (2025). Improving Fast Adversarial Training via Self-Knowledge Guidance. IEEE Transactions on Information Forensics and Security. 20. 3772–3787. 1 indexed citations
2.
Cao, Yuan, et al.. (2024). A Privacy-Preserving Large-Scale Image Retrieval Framework With Vision GNN Hashing. IEEE Transactions on Big Data. 11(4). 1970–1982. 1 indexed citations
3.
Cao, Yuan, et al.. (2024). Hypergraph Hash Learning for Efficient Trajectory Similarity Computation. 175–186. 1 indexed citations
4.
Cao, Yuan, et al.. (2024). Energy management optimization of hybrid electric vehicles based on deep learning model predictive control. Intelligent Decision Technologies. 18(3). 2115–2131. 2 indexed citations
5.
Cao, Yuan, et al.. (2023). Fast Online Hashing with Multi-Label Projection. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 1007–1014. 4 indexed citations
6.
Gui, Jie, Yuan Cao, Wenqi Ren, et al.. (2022). A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning. ACM Computing Surveys. 55(13s). 1–37. 53 indexed citations
7.
Gui, Jie, Yuan Cao, Heng Qi, et al.. (2021). Fast kNN Search in Weighted Hamming Space With Multiple Tables. IEEE Transactions on Image Processing. 30. 3985–3994. 8 indexed citations
8.
Cao, Yuan, et al.. (2020). High-temperature structure detection in ferromagnets. Information and Inference A Journal of the IMA. 11(1). 55–102. 3 indexed citations
9.
Cao, Yuan, Heng Qi, Jien Kato, et al.. (2017). Binary Hashing for Approximate Nearest Neighbor Search on Big Data: A Survey. IEEE Access. 6. 2039–2054. 62 indexed citations
10.
Cao, Yuan, Heng Qi, Keqiu Li, & Miloš Stojmenović. (2016). Multiple Query-Independent Values Based Asymmetric Ranking for Approximate Nearest Neighbor Search. 1628–1635. 1 indexed citations
11.
Post, Matt, Yuan Cao, & Gaurav Kumar. (2015). Joshua 6: A phrase-based and hierarchical statistical machine translation system. SHILAP Revista de lepidopterología. 104(1). 5–16. 10 indexed citations
12.
Cao, Yuan & Sanjeev Khudanpur. (2014). Online Learning in Tensor Space. 666–675. 3 indexed citations
13.
Cao, Yuan. (2013). An Operator Splitting Method for Numerical Simulation of Strong Explosion Fireball. Jisuan wuli.
14.
Post, Matt, et al.. (2013). Joshua 5.0: Sparser, Better, Faster, Server. Workshop on Statistical Machine Translation. 206–212. 16 indexed citations
15.
Rosti, Antti-Veikko, Xiaodong He, Damianos Karakos, et al.. (2012). Review of Hypothesis Alignment Algorithms for MT System Combination via Confusion Network Decoding. RWTH Publications (RWTH Aachen). 191–199. 3 indexed citations
16.
Cao, Yuan & Sanjeev Khudanpur. (2012). Sample Selection for Large-scale MT Discriminative Training. Conference of the Association for Machine Translation in the Americas. 4 indexed citations
17.
Wu, Rina, Yuan Cao, Chi Harold Liu, et al.. (2012). Exploring passenger dynamics and connectivities in Beijing underground via bluetooth networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3 indexed citations
18.
Xu, Daguang, Yuan Cao, & Damianos Karakos. (2011). Description of the JHU System Combination Scheme for WMT 2011. Workshop on Statistical Machine Translation. 171–176. 6 indexed citations
19.
Cao, Yuan, Haibo He, & He Huang. (2010). LIFT: A new framework of learning from testing data for face recognition. Neurocomputing. 74(6). 916–929. 21 indexed citations
20.
He, Haibo, et al.. (2008). Dynamic adaptive learning for decision-making supporting systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6974. 69740O–69740O. 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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