Ying Cao

1.0k total citations · 1 hit paper
17 papers, 728 citations indexed

About

Ying Cao is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Ying Cao has authored 17 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Signal Processing. Recurrent topics in Ying Cao's work include Advanced Malware Detection Techniques (7 papers), Network Security and Intrusion Detection (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Ying Cao is often cited by papers focused on Advanced Malware Detection Techniques (7 papers), Network Security and Intrusion Detection (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Ying Cao collaborates with scholars based in China, Hong Kong and United States. Ying Cao's co-authors include Qiguang Miao, Jiachen Liu, Lin Gao, Jiachen Liu, Lin Gao, Jianfeng Song, Jianping Zhang, M. Anson, Kwok‐wing Chau and Maoguo Gong and has published in prestigious journals such as Renewable Energy, Solar Energy and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Ying Cao

16 papers receiving 691 citations

Hit Papers

align trajectories

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.

Advance and Prospects of AdaBoost Algorithm

2013 323 citations Ying Cao, Qiguang Miao et al. Acta Automatica Sinica profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ying Cao China	8	221	94	88	84	82	17	728
Jeff Heaton United States	9	290 1.3×	82 0.9×	93 1.1×	123 1.5×	68 0.8×	16	849
Zyad Shaaban Saudi Arabia	7	191 0.9×	67 0.7×	46 0.5×	135 1.6×	91 1.1×	11	685
Luai Al-Shalabi Kuwait	5	194 0.9×	52 0.6×	42 0.5×	82 1.0×	105 1.3×	13	622
G. Maragatham India	9	166 0.8×	52 0.6×	60 0.7×	107 1.3×	52 0.6×	39	614
Jinsha Yuan China	15	302 1.4×	86 0.9×	53 0.6×	204 2.4×	42 0.5×	79	981
Youssef Ghanou Morocco	9	278 1.3×	47 0.5×	60 0.7×	81 1.0×	75 0.9×	21	649
Zhongyang Han China	13	270 1.2×	42 0.4×	101 1.1×	50 0.6×	47 0.6×	35	867
Zhenyun Deng China	8	312 1.4×	74 0.8×	54 0.6×	139 1.7×	90 1.1×	17	707
Qingchen Zhang China	3	327 1.5×	122 1.3×	64 0.7×	152 1.8×	91 1.1×	5	816
Liyong Zhang China	19	431 2.0×	39 0.4×	103 1.2×	145 1.7×	104 1.3×	125	1.0k

Countries citing papers authored by Ying Cao

Since Specialization

Citations

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

Fields of papers citing papers by Ying Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Cao

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Jia, Guosheng, et al.. (2025). Thermal performance and influencing range of underground inclined medium-deep geothermal heat exchangers. Renewable Energy. 243. 122619–122619. 2 indexed citations

Cao, Ying, et al.. (2024). Uncovering Nested Data Parallelism and Data Reuse in DNN Computation with FractalTensor. 160–177.

Zhang, Bin, Ying Cao, Zheng Wang, et al.. (2024). Optimization of design parameters and operation conditions of solar-air source heat pump coupled system for rural buildings in cold and severe cold regions. Solar Energy. 286. 113147–113147. 6 indexed citations

Cao, Ying, et al.. (2020). Improving the accuracy of converting dose to medium to dose to water algorithms in small megavoltage photon fields in dose to medium based treatment planning systems. Physica Medica. 71. 62–70. 1 indexed citations

Cao, Ying, et al.. (2016). Superficial dose evaluation of four dose calculation algorithms. Radiation Physics and Chemistry. 137. 23–28. 16 indexed citations

Miao, Qiguang, Ying Cao, Ge Xia, et al.. (2015). RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners. IEEE Transactions on Neural Networks and Learning Systems. 27(11). 2216–2228. 70 indexed citations

Miao, Qiguang, Jiachen Liu, Ying Cao, & Jianfeng Song. (2015). Malware detection using bilayer behavior abstraction and improved one-class support vector machines. International Journal of Information Security. 15(4). 361–379. 33 indexed citations

Miao, Qiguang, Ying Cao, Jianfeng Song, Jiachen Liu, & Yining Quan. (2015). BoostFS: A Boosting-Based Irrelevant Feature Selection Algorithm. International Journal of Pattern Recognition and Artificial Intelligence. 29(7). 1551011–1551011. 3 indexed citations

Liu, Jiachen, Jianfeng Song, Qiguang Miao, Ying Cao, & Yining Quan. (2015). An Ensemble Cost-Sensitive One-Class Learning Framework for Malware Detection. International Journal of Pattern Recognition and Artificial Intelligence. 29(5). 1550018–1550018. 2 indexed citations

10.

Cao, Ying, Qiguang Miao, Jiachen Liu, & Lin Gao. (2014). Advance and Prospects of AdaBoost Algorithm. ACTA AUTOMATICA SINICA. 39(6). 745–758. 158 indexed citations

11.

Liu, Jiachen, Jianfeng Song, Qiguang Miao, & Ying Cao. (2013). FENOC: An Ensemble One-Class Learning Framework for Malware Detection. 231. 523–527. 10 indexed citations

12.

Cao, Ying, Qiguang Miao, Jiachen Liu, & Lin Gao. (2013). Abstracting minimal security-relevant behaviors for malware analysis. Journal of Computer Virology and Hacking Techniques. 9(4). 193–204. 11 indexed citations

13.

Cao, Ying, Qiguang Miao, Jiachen Liu, & Weisheng Li. (2013). Osiris: A Malware Behavior Capturing System Implemented at Virtual Machine Monitor Layer. Mathematical Problems in Engineering. 2013. 1–11. 7 indexed citations

14.

Cao, Ying, Qiguang Miao, Jiachen Liu, & Lin Gao. (2013). Advance and Prospects of AdaBoost Algorithm. Acta Automatica Sinica. 39(6). 745–758. 323 indexed citations breakdown →

15.

Cao, Ying, Jiachen Liu, Qiguang Miao, & Weisheng Li. (2012). Osiris: A Malware Behavior Capturing System Implemented at Virtual Machine Monitor Layer. 17. 534–538. 4 indexed citations

16.

Chau, Kwok‐wing, M. Anson, Ying Cao, & Jianping Zhang. (2003). Integration of Data Warehouse into Knowledge-based System on Construction Management Decision Making. HKIE Transactions. 10(1). 8–13. 5 indexed citations

17.

Chau, Kwok‐wing, Ying Cao, M. Anson, & Jianping Zhang. (2002). Application of data warehouse and Decision Support System in construction management. Automation in Construction. 12(2). 213–224. 77 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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