Yi Cao

952 total citations
58 papers, 619 citations indexed

About

Yi Cao is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yi Cao has authored 58 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 13 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Yi Cao's work include Machine Learning in Bioinformatics (8 papers), Glass properties and applications (8 papers) and Wireless Communication Security Techniques (5 papers). Yi Cao is often cited by papers focused on Machine Learning in Bioinformatics (8 papers), Glass properties and applications (8 papers) and Wireless Communication Security Techniques (5 papers). Yi Cao collaborates with scholars based in China, United States and United Kingdom. Yi Cao's co-authors include Longzhi Yang, Biao Chen, Fei Chao, Noe Elisa, Jin Xu, Yuehui Chen, Xing Huang, Ronald K. Hanson, Qinglong Liu and Peihua Zhu and has published in prestigious journals such as Advanced Functional Materials, Analytical Chemistry and The Journal of Physical Chemistry B.

In The Last Decade

Yi Cao

53 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Cao China 14 184 136 127 109 98 58 619
Suherman Suherman Indonesia 13 279 1.5× 82 0.6× 99 0.8× 58 0.5× 110 1.1× 195 700
Ashish Kumar Maurya India 16 150 0.8× 296 2.2× 103 0.8× 36 0.3× 219 2.2× 74 783
Wenjun Li China 11 115 0.6× 87 0.6× 100 0.8× 90 0.8× 110 1.1× 46 437
Jilin Yang China 13 120 0.7× 25 0.2× 192 1.5× 153 1.4× 133 1.4× 33 907
Yingli Liu China 13 96 0.5× 55 0.4× 226 1.8× 12 0.1× 73 0.7× 56 640
Yanyan Jiang China 14 83 0.5× 136 1.0× 170 1.3× 51 0.5× 183 1.9× 66 596
Kakali Sarkar India 14 141 0.8× 62 0.5× 224 1.8× 48 0.4× 46 0.5× 30 682
Zhijing Liu China 15 84 0.5× 36 0.3× 109 0.9× 23 0.2× 78 0.8× 120 920
Daniel Nurkowski United Kingdom 13 50 0.3× 19 0.1× 190 1.5× 26 0.2× 45 0.5× 19 433

Countries citing papers authored by Yi Cao

Since Specialization
Citations

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

Fields of papers citing papers by Yi Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Cao. A scholar is included among the top collaborators of Yi 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 Yi Cao. Yi 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.
Xu, Pengfei, Lulu Zhang, Yi Cao, et al.. (2025). Effect of MgO/CaO on structure and Young's modulus of CMAS glasses: Experiments and molecular dynamics simulations. Journal of the American Ceramic Society. 109(1).
2.
Cao, Yi, Bowen Ding, Nan Li, et al.. (2025). Enhancing CO2 capture performance of N-methylpyrrolidone with 2-methylimidazole aqueous solution. Journal of environmental chemical engineering. 13(3). 116847–116847.
3.
Xu, Pengfei, Lulu Zhang, Ziang Liu, et al.. (2024). Mechanical properties and structural evolution of sodium borosilicate glasses during uniaxial tension: Molecular dynamics simulation and experiments. Ceramics International. 50(23). 50690–50696. 4 indexed citations
4.
Wang, Longjun, Xinyu Li, J.P. Li, et al.. (2024). Interpretable machine learning accelerates development of high-specific modulus glass. Computational Materials Science. 246. 113482–113482. 1 indexed citations
5.
6.
Kang, Junfeng, et al.. (2024). Effects of P2O5 content on the structure, stress distribution and vickers hardness of Na2O-MgO-Al2O3-SiO2 glasses with chemical strengthening treatments. Journal of Non-Crystalline Solids. 634. 122978–122978. 2 indexed citations
7.
Zhang, Lulu, Ya Qu, Yi Cao, et al.. (2024). Alkali-free aluminoborosilicate glass with high elastic modulus and low thermal expansion coefficient designed by structure gene modeling: Molecular dynamics simulations. Computational Materials Science. 246. 113385–113385. 5 indexed citations
8.
Zhang, Chuanting, et al.. (2024). Communication-Efficient Wireless Traffic Prediction with Federated Learning. Mathematics. 12(16). 2539–2539. 4 indexed citations
9.
Sun, Chuanxiang, et al.. (2023). Molecular dynamics simulations study on structure and elastic property of alkali-free aluminoborosilicate glasses with different Al2O3/(MgO+CaO) ratio. Journal of Non-Crystalline Solids. 622. 122689–122689. 14 indexed citations
10.
Sun, Chuanxiang, Lulu Zhang, Yi Cao, et al.. (2023). High tensile strength glass fiber with different ratios of Na2O and SiO2 prepared by chemical strengthening method. Journal of Non-Crystalline Solids. 621. 122621–122621. 1 indexed citations
11.
Liu, Hong, et al.. (2023). Protein–protein interaction site prediction by model ensembling with hybrid feature and self-attention. BMC Bioinformatics. 24(1). 456–456. 4 indexed citations
12.
13.
Chen, Yuehui, et al.. (2022). BERT Model Compression With Decoupled Knowledge Distillation And Representation Learning. 1–4. 1 indexed citations
14.
Liu, Hong, et al.. (2022). Multiple Protein Subcellular Locations Prediction Based on Deep Convolutional Neural Networks with Self-Attention Mechanism. Interdisciplinary Sciences Computational Life Sciences. 14(2). 421–438. 12 indexed citations
15.
Wang, Dong, et al.. (2021). Deep Multiple Kernel Learning for Prediction of MicroRNA Precursors. Scientific Programming. 2021. 1–9. 2 indexed citations
16.
Liu, Hong, et al.. (2020). Self-evoluting framework of deep convolutional neural network for multilocus protein subcellular localization. Medical & Biological Engineering & Computing. 58(12). 3017–3038. 7 indexed citations
17.
Cao, Yi, et al.. (2019). K_net: Lysine Malonylation Sites Identification With Neural Network. IEEE Access. 8. 47304–47311. 6 indexed citations
18.
19.
Cao, Yi. (2010). Prediction of Protein Subnuclear Location Using Evolutionary Fuzzy K-Nearest Neighbors and Its Ensemble. 1 indexed citations
20.
Cao, Yi, Biao Chen, & Junshan Zhang. (2007). A New Achievable Rate Region for Interference Channels with Common Information. 2069–2073. 20 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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