Qi Cao

1.1k total citations
113 papers, 584 citations indexed

About

Qi Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Qi Cao has authored 113 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 17 papers in Information Systems. Recurrent topics in Qi Cao's work include Neural Networks and Applications (8 papers), Semiconductor Quantum Structures and Devices (8 papers) and Semiconductor Lasers and Optical Devices (8 papers). Qi Cao is often cited by papers focused on Neural Networks and Applications (8 papers), Semiconductor Quantum Structures and Devices (8 papers) and Semiconductor Lasers and Optical Devices (8 papers). Qi Cao collaborates with scholars based in China, Singapore and United Kingdom. Qi Cao's co-authors include Chai Quek, Yigang Cen, Yiyu Cai, Gongping Wu, Song Yang, Zhiping Lin, Fei Fan, Man Wang, Chee Kiat Seow and Shuqin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and IEEE Transactions on Image Processing.

In The Last Decade

Qi Cao

83 papers receiving 564 citations

Peers

Qi Cao
Dongsheng Yang China
Bowen Liu China
Hai Liu China
Kai He China
Youngmin Kim South Korea
Eun‐Soo Kim South Korea
Abhinav Jain India
Kefeng Fan China
Irene Macaluso Ireland
Yifeng He Canada
Dongsheng Yang China
Qi Cao
Citations per year, relative to Qi Cao Qi Cao (= 1×) peers Dongsheng Yang

Countries citing papers authored by Qi Cao

Since Specialization
Citations

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

Fields of papers citing papers by Qi Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Cao. A scholar is included among the top collaborators of Qi 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 Qi Cao. Qi 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.
Liu, Ping, et al.. (2025). Active gate driver for current overshoot suppression of SiC+Si hybrid switches with dynamic gate current regulation. Microelectronics Reliability. 168. 115689–115689.
2.
Xu, Xiaoxue, Hien Duong, Ping Ye, et al.. (2025). Renal clearable sucrose carbon dots for doxorubicin delivery to treat renal carcinoma. Nanoscale Advances. 7(9). 2751–2760. 1 indexed citations
3.
Su, Diqing, et al.. (2025). Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector. 14330–14344.
4.
5.
Cao, Qi, et al.. (2024). IDEA: Invariant defense for graph adversarial robustness. Information Sciences. 680. 121171–121171. 3 indexed citations
6.
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Huang, Lihui, S Li, Nanying Liang, et al.. (2024). Designing an Educational Metaverse: A Case Study of NTUniverse. Applied Sciences. 14(6). 2559–2559. 10 indexed citations
8.
Seow, Chee Kiat, et al.. (2024). Exploring Resource Prediction Models Based on Custom Kubernetes Auto-scaling Metrics. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 47–52. 1 indexed citations
9.
Zhang, Guoqing, et al.. (2024). DCPoint: Global-Local Dual Contrast for Self-Supervised Representation Learning of 3-D Point Clouds. IEEE Sensors Journal. 24(14). 23224–23238. 3 indexed citations
10.
Tan, Hong Qi, et al.. (2024). A Convolutional Neural Network-Based Auto-Segmentation Pipeline for Breast Cancer Imaging. Mathematics. 12(4). 616–616. 2 indexed citations
11.
Seow, Chee Kiat, et al.. (2024). Peer-Assessed (Evaluated) Automated Grading System. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 91–96.
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13.
Chen, Sheng, Qi Cao, & Yiyu Cai. (2023). Blockchain for Healthcare Games Management. Electronics. 12(14). 3195–3195. 5 indexed citations
14.
Guo, Dandan, Zhenyu Zhu, Zhe Wang, et al.. (2023). Multi-omics landscape to decrypt the distinct flavonoid biosynthesis of Scutellaria baicalensis across multiple tissues. Horticulture Research. 11(1). uhad258–uhad258. 2 indexed citations
15.
Li, Gang, et al.. (2023). EAF-WGAN: Enhanced Alignment Fusion-Wasserstein Generative Adversarial Network for Turbulent Image Restoration. IEEE Transactions on Circuits and Systems for Video Technology. 33(10). 5605–5616. 11 indexed citations
16.
Cao, Qi, et al.. (2022). Effect of (H2O)n (n = 0–3, 13) on the NH3 + OH reaction in the gas and liquid phases. RSC Advances. 12(43). 28010–28019.
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Cao, Qi, Gang Ren, & Dawei Li. (2018). Multiple Spatio-temporal Scales Traffic Forecasting Based on Deep Learning Approach. Transportation Research Board 97th Annual MeetingTransportation Research Board. 4 indexed citations
19.
Cao, Qi, et al.. (2017). General movements and electroencephalogram as a predictive tool of highrisk neonatal neurodevelopmental outcome. Biomedical Research-tokyo. 28(18). 7810–7814. 2 indexed citations
20.
Wang, Rong‐Long, et al.. (2003). Solving Maximum Cut Problem Using Improved Hop field Neural Network. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(3). 722–729. 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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2026