Rui Cao

578 total citations
47 papers, 309 citations indexed

About

Rui Cao is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rui Cao has authored 47 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rui Cao's work include Advanced Data Storage Technologies (7 papers), Topic Modeling (6 papers) and AI in cancer detection (5 papers). Rui Cao is often cited by papers focused on Advanced Data Storage Technologies (7 papers), Topic Modeling (6 papers) and AI in cancer detection (5 papers). Rui Cao collaborates with scholars based in China, Japan and United States. Rui Cao's co-authors include Qiyi Tang, Shi Wu, Sen Nie, Junzhou Huang, Jing Jiang, Roy Ka-Wei Lee, Jiezhi Chen, Meng Zhang, Kehua Guo and Jian Kang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Rui Cao

34 papers receiving 300 citations

Peers

Rui Cao
Yuchen Zhou China
Babak Bashari Rad Malaysia
Shengwei Yi China
Dan Gohman United States
Shi Wu China
Mohammed Abuhamad United States
Valerio Terragni New Zealand
Anmin Zhou China
João Bispo Portugal
Christoforos Ntantogian Greece
Yuchen Zhou China
Rui Cao
Citations per year, relative to Rui Cao Rui Cao (= 1×) peers Yuchen Zhou

Countries citing papers authored by Rui Cao

Since Specialization
Citations

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

Fields of papers citing papers by Rui Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Cao. A scholar is included among the top collaborators of Rui 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 Rui Cao. Rui 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.
Cao, Rui, et al.. (2025). Active localization learning for weakly supervised instance segmentation. Expert Systems with Applications. 276. 126962–126962.
2.
Cao, Rui, et al.. (2025). Break Adhesion: Triple adaptive-parsing for weakly supervised instance segmentation. Neural Networks. 186. 107215–107215. 1 indexed citations
3.
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Zhou, Wanlin, et al.. (2025). A depth-estimation-based method for multi-view synthesis applied to Chinese landscape paintings. Applied Soft Computing. 184. 113858–113858.
6.
Zheng, Jie, et al.. (2025). Generative AI-Aided Multimodal Parallel Offloading for AIGC Metaverse Service in IoT Networks. IEEE Internet of Things Journal. 12(10). 13273–13285. 2 indexed citations
7.
Zheng, Jie, Hai Wang, Ling Gao, et al.. (2024). Online Learning to parallel offloading in heterogeneous wireless networks. Computer Communications. 218. 253–262. 1 indexed citations
8.
Zheng, Jie, et al.. (2024). Delay-Aware Parallel Offloading AIGC Service in Edge Computing. 208–213. 3 indexed citations
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10.
Cao, Rui, et al.. (2024). Reinvestigating the performance of artificial intelligence classification algorithms on COVID-19 X-Ray and CT images. iScience. 27(5). 109712–109712. 1 indexed citations
11.
Cao, Rui & Jing Jiang. (2023). Modularized Zero-shot VQA with Pre-trained Models. 58–76.
12.
Cao, Rui, et al.. (2023). Video Process Mining and Model Matching for Intelligent Development: Conformance Checking. Sensors. 23(8). 3812–3812. 1 indexed citations
13.
14.
Cao, Rui, et al.. (2023). DictPrompt: Comprehensive dictionary-integrated prompt tuning for pre-trained language model. Knowledge-Based Systems. 273. 110605–110605. 7 indexed citations
15.
Li, Nan, et al.. (2023). An Uncertainty Analysis Method Based on a Globally Optimal Truth Discovery Model for Mineral Prospectivity Mapping. Mathematical Geosciences. 56(2). 249–278. 3 indexed citations
16.
Cao, Rui, et al.. (2022). Prompting for Multimodal Hateful Meme Classification. 321–332. 33 indexed citations
17.
Zeng, Yang, et al.. (2022). Continuous live cell imaging using dark field microscopy. Analytical Methods. 14(16). 1634–1637. 1 indexed citations
18.
Shao, Zhuang, et al.. (2022). An Incremental Clustering Algorithm Based on CFS. 277–282. 1 indexed citations
19.
Cao, Rui, et al.. (2022). RCS Distribution Fitting using Improved Nonparametric Model. 2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). 350–354. 2 indexed citations
20.
Cao, Rui, Kehua Guo, Jianhua Ma, & Jian Kang. (2018). A Deep Convolutional Neural Network-Based Label Completion and Correction Strategy for Supervised Medical Image Learning. 1725–1730. 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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