Jiajie Su

484 total citations
17 papers, 296 citations indexed

About

Jiajie Su is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jiajie Su has authored 17 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jiajie Su's work include Recommender Systems and Techniques (12 papers), Advanced Graph Neural Networks (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Jiajie Su is often cited by papers focused on Recommender Systems and Techniques (12 papers), Advanced Graph Neural Networks (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Jiajie Su collaborates with scholars based in China. Jiajie Su's co-authors include Chaochao Chen, Xiaolin Zheng, Weiming Liu, Yanchao Tan, Xiaolin Zheng, Li Wang, Lingjuan Lyu, Huiwen Wu, Yueting Zhuang and Fei Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Affective Disorders and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Jiajie Su

16 papers receiving 293 citations

Peers

Countries citing papers authored by Jiajie Su

Since Specialization

Citations

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

Fields of papers citing papers by Jiajie Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiajie Su

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Teacher Probability Reconstruction based knowledge distillation within intelligent network compression 2025 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Jiajie Su, Chunhao Li, Chang Hu, (unknown)	2
2	Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation 2025 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Jiajie Su, Chaochao Chen, (unknown), Chi Zhang, Jun Wang	0
3	The simplification of the symptom Checklist-90 scale utilizing machine learning techniques 2024 ·Journal of Affective Disorders ·(unknown), (unknown), (unknown), (unknown), Jiajie Su, Jiang Xue	1
4	Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation 2024 ·IEEE Transactions on Knowledge and Data Engineering ·Xiaolin Zheng, Weiming Liu, Chaochao Chen, Jiajie Su, (unknown), (unknown), Yanchao Tan	1
5	Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport 2024 ·Jiajie Su, Chaochao Chen, Weiming Liu, (unknown), (unknown), (unknown), Xiaolin Zheng	5
6	User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation 2024 ·Weiming Liu, Chaochao Chen, (unknown), (unknown), Jiajie Su, Yanchao Tan, Fan Wang	6
7	Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation 2024 ·(unknown), Chaochao Chen, Jiajie Su, (unknown), Baotian Hu	2
8	Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation 2023 ·IEEE Transactions on Knowledge and Data Engineering ·Weiming Liu, Xiaolin Zheng, Jiajie Su, (unknown), Chaochao Chen, (unknown)	22
9	Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation 2023 ·Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, (unknown)	23
10	Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation 2023 ·Jiajie Su, Chaochao Chen, (unknown), Xi Li, Weiming Liu, Xiaolin Zheng	19
11	Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation 2023 ·Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, (unknown), (unknown), Yanchao Tan	32
12	Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation 2022 ·Proceedings of the ACM Web Conference 2022 ·Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang	55
13	Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation 2022 ·Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval ·Weiming Liu, Xiaolin Zheng, Jiajie Su, (unknown), Yanchao Tan, Chaochao Chen	32
14	DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation 2022 ·Proceedings of the 30th ACM International Conference on Multimedia ·Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen	39
15	Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation 2021 ·Neural Information Processing Systems ·(unknown), Jiajie Su, Chaochao Chen, Xiaolin Zheng	29
16	What makes a scatterplot hard to comprehend: data size and pattern salience matter 2021 ·Journal of Visualization ·Jiachen Wang, (unknown), Jiajie Su, (unknown), Yingcai Wu	8
17	Tell and guess: cooperative learning for natural image caption generation with hierarchical refined attention 2020 ·Multimedia Tools and Applications ·Wenqiao Zhang, Siliang Tang, Jiajie Su, Jun Xiao, Yueting Zhuang	20

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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