Qi Cao

1.3k total citations
46 papers, 582 citations indexed

About

Qi Cao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Qi Cao has authored 46 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Qi Cao's work include Advanced Graph Neural Networks (17 papers), Complex Network Analysis Techniques (10 papers) and Recommender Systems and Techniques (9 papers). Qi Cao is often cited by papers focused on Advanced Graph Neural Networks (17 papers), Complex Network Analysis Techniques (10 papers) and Recommender Systems and Techniques (9 papers). Qi Cao collaborates with scholars based in China, Japan and Netherlands. Qi Cao's co-authors include Xueqi Cheng, Huawei Shen, Keting Cen, Bingbing Xu, Wentao Ouyang, Zheng Tang, Rong‐Long Wang, Lei Yu, Zhongshi He and Bingjie Sun and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Information Sciences.

In The Last Decade

Qi Cao

40 papers receiving 562 citations

Peers

Qi Cao
Taotao Cai Australia
Minghao Zhao China
Haicheng Tao China
Shanqing Yu China
Quanyu Dai China
Xianyong Li China
Bilian Chen China
Yilun Jin China
X. D. Zhang United States
Taotao Cai Australia
Qi Cao
Citations per year, relative to Qi Cao Qi Cao (= 1×) peers Taotao Cai

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.
Wu, Yunfan, Yingqiang Ge, Shuchang Liu, et al.. (2025). The 1st Workshop on Human-Centered Recommender Systems. 2088–2091. 1 indexed citations
2.
3.
Cao, Qi, et al.. (2025). Robust Recommender System: A Survey and Future Directions. ACM Computing Surveys. 58(1). 1–38.
4.
Yan, Rui, et al.. (2025). High-Reputation Food Formulas: A Heterogeneous Information Network Representation and Semantic Analysis Approach. Applied Sciences. 15(5). 2375–2375. 1 indexed citations
5.
Ren, Gang, et al.. (2025). Interaction-aware vehicle trajectory prediction using spatial-temporal dynamic graph neural network. Knowledge-Based Systems. 327. 114187–114187.
6.
Zhang, Zhe, et al.. (2024). MGCN: Mamba-integrated spatiotemporal graph convolutional network for long-term traffic forecasting. Knowledge-Based Systems. 309. 112875–112875. 11 indexed citations
7.
Wu, Yunfan, et al.. (2024). Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. 701–711. 2 indexed citations
8.
Xu, Bingbing, Huawei Shen, Qi Cao, et al.. (2024). Towards generalizable Graph Contrastive Learning: An information theory perspective. Neural Networks. 172. 106125–106125. 4 indexed citations
9.
Cao, Qi, et al.. (2024). LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. 1733–1742. 6 indexed citations
10.
11.
Cao, Qi, Huawei Shen, Yunfan Wu, et al.. (2023). Adversarial camouflage for node injection attack on graphs. Information Sciences. 649. 119611–119611. 16 indexed citations
12.
Cao, Qi, et al.. (2023). Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. arXiv (Cornell University). 1801–1805. 2 indexed citations
13.
Cao, Qi, et al.. (2023). DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph. 3309–3320. 14 indexed citations
14.
Xu, Bingbing, et al.. (2023). MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification. 5685–5694. 2 indexed citations
15.
Cao, Qi, Huawei Shen, Jinhua Gao, & Xueqi Cheng. (2021). Learning diffusion model-free and efficient influence function for influence maximization from information cascades. Knowledge and Information Systems. 63(5). 1173–1196. 1 indexed citations
16.
Cao, Qi, Huawei Shen, Jinhua Gao, Bingzheng Wei, & Xueqi Cheng. (2019). Coupled Graph Neural Networks for Predicting the Popularity of Online Content.. arXiv (Cornell University). 2 indexed citations
17.
Cao, Qi, et al.. (2003). A Local search based learning method for multiple-valued logic networks. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(7). 1876–1884. 6 indexed citations
18.
Tang, Zheng, et al.. (2003). Pattern recognition system using a clonal selection‐based immune network. Systems and Computers in Japan. 34(12). 56–63. 3 indexed citations
19.
Wang, Rong‐Long, Zheng Tang, & Qi Cao. (2002). A Near-Optimum Parallel Algorithm for Bipartite Subgraph Problem Using the Hopfield Neural Network Learning. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(2). 497–504. 3 indexed citations
20.
Wang, Rong‐Long, Zheng Tang, & Qi Cao. (2002). A New Updating Procedure in the Hopfield-Type Network and Its Application to N-Queens Problem. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(10). 2368–2372. 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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