Jiangxia Cao

708 total citations
15 papers, 294 citations indexed

About

Jiangxia Cao is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jiangxia Cao has authored 15 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jiangxia Cao's work include Topic Modeling (9 papers), Recommender Systems and Techniques (9 papers) and Advanced Graph Neural Networks (7 papers). Jiangxia Cao is often cited by papers focused on Topic Modeling (9 papers), Recommender Systems and Techniques (9 papers) and Advanced Graph Neural Networks (7 papers). Jiangxia Cao collaborates with scholars based in China, Australia and Cayman Islands. Jiangxia Cao's co-authors include Tingwen Liu, Bin Wang, Xin Cong, Xixun Lin, Jiawei Sheng, Shu Guo, Luchen Liu, Jing Ya, Xiaobo Guo and Bowen Yu and has published in prestigious journals such as ACM Transactions on Information Systems, IEEE/ACM Transactions on Audio Speech and Language Processing and Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

In The Last Decade

Jiangxia Cao

14 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangxia Cao China 7 238 211 57 44 23 15 294
Hyunsouk Cho South Korea 7 201 0.8× 189 0.9× 61 1.1× 73 1.7× 22 1.0× 13 284
Chenyi Lei China 9 175 0.7× 181 0.9× 103 1.8× 28 0.6× 22 1.0× 18 266
Changsung Kang United States 9 170 0.7× 125 0.6× 45 0.8× 26 0.6× 19 0.8× 15 235
Jiawei Sheng China 9 282 1.2× 95 0.5× 51 0.9× 67 1.5× 10 0.4× 29 318
Jinbae Im South Korea 4 183 0.8× 177 0.8× 57 1.0× 63 1.4× 14 0.6× 4 245
Sehee Chung South Korea 4 181 0.8× 186 0.9× 50 0.9× 66 1.5× 13 0.6× 6 245
Deqing Yang China 9 177 0.7× 120 0.6× 35 0.6× 28 0.6× 17 0.7× 34 232
Yunhua Hu China 8 228 1.0× 179 0.8× 34 0.6× 26 0.6× 15 0.7× 13 295
Xinyu Lin China 8 174 0.7× 184 0.9× 75 1.3× 39 0.9× 6 0.3× 17 276

Countries citing papers authored by Jiangxia Cao

Since Specialization
Citations

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

Fields of papers citing papers by Jiangxia Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangxia Cao

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

All Works

15 of 15 papers shown
1.
Cao, Jiangxia, et al.. (2025). QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou. 5915–5922.
2.
Cao, Jiangxia, et al.. (2025). HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou. 2638–2647. 1 indexed citations
3.
Cui, Shiyao, et al.. (2024). Enhancing Multimodal Entity and Relation Extraction With Variational Information Bottleneck. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 1274–1285. 22 indexed citations
4.
Cao, Jiangxia, et al.. (2024). A Multi-modal Modeling Framework for Cold-start Short-video Recommendation. 391–400. 4 indexed citations
5.
Xu, W., et al.. (2024). Enhancing Content-based Recommendation via Large Language Model. 4153–4157. 3 indexed citations
6.
Cao, Jiangxia, et al.. (2023). Towards Universal Cross-Domain Recommendation. 78–86. 24 indexed citations
7.
Zhang, Xinghua, et al.. (2023). Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. 1230–1240. 4 indexed citations
8.
Yu, Bowen, Jiangxia Cao, Xinghua Zhang, et al.. (2023). ID-MixGCL: Identity Mixup for Graph Contrastive Learning. 473–482. 1 indexed citations
9.
Guo, Xiaobo, et al.. (2022). Disentangled Representations Learning for Multi-target Cross-domain Recommendation. ACM Transactions on Information Systems. 41(4). 1–27. 24 indexed citations
10.
Cao, Jiangxia, Xin Cong, Tingwen Liu, & Bin Wang. (2022). Item Similarity Mining for Multi-Market Recommendation. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2249–2254. 8 indexed citations
11.
Sheng, Jiawei, Shu Guo, Shiyao Cui, et al.. (2022). CorED. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1122–1132. 5 indexed citations
12.
Cao, Jiangxia, Xin Cong, Jiawei Sheng, Tingwen Liu, & Bin Wang. (2022). Contrastive Cross-Domain Sequential Recommendation. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 138–147. 57 indexed citations
13.
Cao, Jiangxia, Xixun Lin, Xin Cong, et al.. (2022). DisenCDR. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 267–277. 60 indexed citations
14.
Lin, Xixun, Jiangxia Cao, Peng Zhang, et al.. (2021). Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. 360–369. 6 indexed citations
15.
Cao, Jiangxia, Xixun Lin, Shu Guo, et al.. (2021). Bipartite Graph Embedding via Mutual Information Maximization. 635–643. 75 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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