Chen Gao

4.7k total citations · 6 hit papers
95 papers, 2.5k citations indexed

About

Chen Gao is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Chen Gao has authored 95 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Information Systems, 52 papers in Artificial Intelligence and 19 papers in Management Science and Operations Research. Recurrent topics in Chen Gao's work include Recommender Systems and Techniques (62 papers), Advanced Graph Neural Networks (30 papers) and Topic Modeling (21 papers). Chen Gao is often cited by papers focused on Recommender Systems and Techniques (62 papers), Advanced Graph Neural Networks (30 papers) and Topic Modeling (21 papers). Chen Gao collaborates with scholars based in China, United States and Singapore. Chen Gao's co-authors include Yong Li, Depeng Jin, Xiangnan He, Yu Zheng, Jianxin Chang, Nian Li, Bowen Jin, Yinfeng Li, Yang Song and Jinghua Piao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Chen Gao

88 papers receiving 2.5k citations

Hit Papers

A Survey of Graph Neural Networks for Recom... 2020 2026 2022 2024 2023 2020 2021 2021 2022 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
    2023 312 citations Chen Gao, Yu Zheng et al. profile →
  2. Multi-behavior Recommendation with Graph Convolutional Networks
    2020 234 citations Chen Gao, Xiangnan He et al. profile →
  3. Sequential Recommendation with Graph Neural Networks
    2021 233 citations Jianxin Chang, Chen Gao et al. profile →
  4. Disentangling User Interest and Conformity for Recommendation with Causal Embedding
    2021 200 citations Yu Zheng, Chen Gao et al. profile →
  5. Graph Neural Networks for Recommender System
    2022 149 citations Chen Gao, Xiangnan He et al. profile →
  6. Large language models empowered agent-based modeling and simulation: a survey and perspectives
    2024 51 citations Chen Gao, Nian Li et al. Humanities and Social Sciences Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chen Gao China 25 1.6k 1.5k 463 359 215 95 2.5k
Weike Pan China 25 1.7k 1.0× 1.5k 1.0× 524 1.1× 492 1.4× 300 1.4× 108 2.5k
Shoujin Wang China 22 1.1k 0.7× 1.2k 0.8× 404 0.9× 270 0.8× 203 0.9× 103 1.9k
Wenqi Fan Hong Kong 21 1.3k 0.8× 1.9k 1.2× 422 0.9× 163 0.5× 276 1.3× 70 2.6k
Dawei Yin China 19 1.6k 1.0× 2.0k 1.3× 493 1.1× 199 0.6× 309 1.4× 66 2.7k
Yaliang Li United States 33 1.3k 0.8× 3.2k 2.1× 426 0.9× 484 1.3× 291 1.4× 144 4.3k
Rohan Anil United States 3 1.5k 0.9× 1.2k 0.8× 680 1.5× 281 0.8× 273 1.3× 5 2.1k
Sajad Ahmadian Iran 25 977 0.6× 988 0.6× 516 1.1× 227 0.6× 229 1.1× 45 2.0k
Zheng Qin China 18 860 0.5× 769 0.5× 350 0.8× 186 0.5× 139 0.6× 48 1.5k
Zhaohui Zheng United States 22 1.2k 0.7× 1.3k 0.8× 463 1.0× 226 0.6× 275 1.3× 55 2.4k

Countries citing papers authored by Chen Gao

Since Specialization
Citations

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

Fields of papers citing papers by Chen Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Gao. A scholar is included among the top collaborators of Chen Gao 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 Chen Gao. Chen Gao 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.
Zhou, Wei, et al.. (2025). Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation. ACM Transactions on Information Systems. 43(4). 1–25. 1 indexed citations
2.
Gao, Chen, et al.. (2025). FreqMGCN-Net: An IoT-Integrated Multi-Parallel Graph Convolutional Network with frequency attention for motor bearing fault diagnosis. Alexandria Engineering Journal. 128. 175–185. 1 indexed citations
3.
Zhao, Yong, Zhengqiu Zhu, Yue Hu, et al.. (2025). CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space. 12476–12491. 1 indexed citations
4.
Fu, Wenjie, Huandong Wang, Chen Gao, et al.. (2025). Mobility Data-Driven Privacy-Preserving Model for Detecting High-Risk Infection Cases. ACM Transactions on Intelligent Systems and Technology. 16(5). 1–29.
5.
Li, Nian, et al.. (2024). EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities. 15523–15536. 10 indexed citations
6.
7.
Gao, Chen, Yu Zheng, Jianxin Chang, et al.. (2024). Mixed Attention Network for Cross-domain Sequential Recommendation. 405–413. 13 indexed citations
8.
Gao, Chen, et al.. (2024). Enhancing ID-based Recommendation with Large Language Models. ACM Transactions on Information Systems. 43(5). 1–30. 1 indexed citations
9.
Gao, Chen, Nian Li, Yuan Yuan, et al.. (2024). Large language models empowered agent-based modeling and simulation: a survey and perspectives. Humanities and Social Sciences Communications. 11(1). 51 indexed citations breakdown →
10.
Gao, Chen, et al.. (2024). Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing. 4697–4705. 4 indexed citations
11.
Fu, Wenjie, Huandong Wang, Chen Gao, et al.. (2023). Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning. ACM Transactions on Information Systems. 42(3). 1–29. 5 indexed citations
12.
Gao, Chen, Yu Zheng, Jianxin Chang, et al.. (2023). Dual-interest Factorization-heads Attention for Sequential Recommendation. arXiv (Cornell University). 917–927. 6 indexed citations
13.
Gao, Chen, et al.. (2023). Interpreting Gender Differentiation in Urban Consumption Places Based on the Preference Level of Spatial Perception. Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia. 1. 737–746. 1 indexed citations
14.
Gao, Chen, Yinfeng Li, Quanming Yao, Depeng Jin, & Yong Li. (2021). Progressive Feature Interaction Search for Deep Sparse Network. Neural Information Processing Systems. 34. 3 indexed citations
15.
Liu, Siyi, Chen Gao, Yihong Chen, Depeng Jin, & Yong Li. (2021). LEARNABLE EMBEDDING SIZES FOR RECOMMENDER SYSTEMS. UCL Discovery (University College London). 1 indexed citations
16.
Chang, Jianxin, Chen Gao, Yu Zheng, et al.. (2021). Sequential Recommendation with Graph Convolutional Networks. International ACM SIGIR Conference on Research and Development in Information Retrieval. 1 indexed citations
17.
Zheng, Yu, Chen Gao, Xiangnan He, Depeng Jin, & Yong Li. (2021). Incorporating Price into Recommendation With Graph Convolutional Networks. IEEE Transactions on Knowledge and Data Engineering. 35(2). 1609–1623. 11 indexed citations
18.
Zheng, Y., Chen Gao, Xiang Li, et al.. (2020). Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding.. arXiv (Cornell University). 8 indexed citations
19.
Gao, Chen, Xiangnan He, Dahua Gan, et al.. (2019). Neural Multi-task Recommendation from Multi-behavior Data. 1554–1557. 8 indexed citations
20.
Gao, Chen, Xiangnan He, Dahua Gan, et al.. (2018). Learning Recommender Systems from Multi-Behavior Data.. arXiv (Cornell University). 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Weike Pan Breakdown of academic impact, for papers by Shoujin Wang Breakdown of academic impact, for papers by Wenqi Fan Breakdown of academic impact, for papers by Dawei Yin Breakdown of academic impact, for papers by Yaliang Li Breakdown of academic impact, for papers by Rohan Anil Breakdown of academic impact, for papers by Sajad Ahmadian Breakdown of academic impact, for papers by Zheng Qin Breakdown of academic impact, for papers by Zhaohui Zheng
Rankless by CCL
2026