Peijie Sun

2.0k total citations · 2 hit papers
29 papers, 1.1k citations indexed

About

Peijie Sun is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peijie Sun has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 22 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peijie Sun's work include Recommender Systems and Techniques (24 papers), Topic Modeling (15 papers) and Advanced Graph Neural Networks (10 papers). Peijie Sun is often cited by papers focused on Recommender Systems and Techniques (24 papers), Topic Modeling (15 papers) and Advanced Graph Neural Networks (10 papers). Peijie Sun collaborates with scholars based in China, United States and Singapore. Peijie Sun's co-authors include Le Wu, Meng Wang, Richang Hong, Yanjie Fu, Xiting Wang, Junwei Li, Yong Ge, Kun Zhang, Yong Ge and Kun Zhang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Systems Man and Cybernetics Systems and IEEE Transactions on Multimedia.

In The Last Decade

Peijie Sun

24 papers receiving 1.1k citations

Hit Papers

A Neural Influence Diffusion Model for Social Recommendation 2019 2026 2021 2023 2019 2020 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 Neural Influence Diffusion Model for Social Recommendation
    2019 365 citations Le Wu, Peijie Sun et al. profile →
  2. DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation
    2020 222 citations Le Wu, Peijie Sun et al. IEEE Transactions on Knowledge and Data Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peijie Sun China 11 901 847 167 153 99 29 1.1k
Urvashi Khandelwal United States 7 577 0.6× 839 1.0× 133 0.8× 110 0.7× 117 1.2× 7 1.0k
Tong Zhao China 11 640 0.7× 422 0.5× 132 0.8× 108 0.7× 67 0.7× 26 853
Changxin Tian China 9 648 0.7× 558 0.7× 159 1.0× 68 0.4× 28 0.3× 11 743
Xiangguo Sun China 15 221 0.2× 509 0.6× 92 0.6× 78 0.5× 164 1.7× 33 727
Naama Zwerdling Israel 9 465 0.5× 419 0.5× 135 0.8× 111 0.7× 149 1.5× 13 846
Javier Parapar Spain 15 402 0.4× 385 0.5× 99 0.6× 51 0.3× 19 0.2× 67 632
Saša Petrović United Kingdom 11 262 0.3× 539 0.6× 75 0.4× 99 0.6× 332 3.4× 17 818
Fei Cai China 16 463 0.5× 543 0.6× 116 0.7× 59 0.4× 67 0.7× 55 738
How Jing United States 6 470 0.5× 378 0.4× 140 0.8× 55 0.4× 32 0.3× 11 606

Countries citing papers authored by Peijie Sun

Since Specialization
Citations

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

Fields of papers citing papers by Peijie Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peijie Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Peijie Sun. A scholar is included among the top collaborators of Peijie Sun 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 Peijie Sun. Peijie Sun 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.
Ma, Weizhi, et al.. (2025). User Immersion-aware Short Video Recommendation. ACM Transactions on Information Systems. 44(1). 1–33.
2.
Ma, Weizhi, Peijie Sun, Haiyang Wu, et al.. (2025). CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain Recommendation. 1789–1798.
3.
4.
5.
Ma, Weizhi, et al.. (2024). Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation. 2081–2090. 6 indexed citations
6.
Ma, Weizhi, et al.. (2024). ReChorus2.0: A Modular and Task-Flexible Recommendation Library. 454–464. 1 indexed citations
7.
Ma, Weizhi, et al.. (2024). Sequential Recommendation with Latent Relations based on Large Language Model. 335–344. 16 indexed citations
8.
Shi, Shaoyun, et al.. (2024). Feature-Enhanced Neural Collaborative Reasoning for Explainable Recommendation. ACM Transactions on Information Systems. 43(1). 1–33.
9.
Wang, Jiayin, et al.. (2024). A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models. 3588–3612. 4 indexed citations
10.
Xue, Feng, et al.. (2023). Multimodal Graph Contrastive Learning for Multimedia-Based Recommendation. IEEE Transactions on Multimedia. 25. 9343–9355. 39 indexed citations
11.
Sun, Peijie, et al.. (2023). Understanding User Immersion in Online Short Video Interaction. 731–740. 6 indexed citations
12.
Sun, Peijie, et al.. (2023). Intent-aware Ranking Ensemble for Personalized Recommendation. 1004–1013. 6 indexed citations
13.
Sun, Peijie, et al.. (2023). Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. IEEE Transactions on Knowledge and Data Engineering. 36(5). 2069–2081. 22 indexed citations
14.
Qi, Tao, Fangzhao Wu, Chuhan Wu, et al.. (2022). ProFairRec. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1164–1173. 20 indexed citations
15.
Zhang, Kun, et al.. (2022). A Review-aware Graph Contrastive Learning Framework for Recommendation. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1283–1293. 86 indexed citations
16.
Sun, Peijie, Le Wu, Kun Zhang, Yu Su, & Meng Wang. (2021). An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation. ACM Transactions on Information Systems. 40(3). 1–29. 15 indexed citations
17.
Sun, Peijie, et al.. (2021). Chinese clinical entity recognition based on pre-trained models. 40. 70–73.
18.
Sun, Peijie, Le Wu, Kun Zhang, et al.. (2020). Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. 837–847. 60 indexed citations
19.
Wu, Le, Peijie Sun, Richang Hong, Yong Ge, & Meng Wang. (2018). Collaborative Neural Social Recommendation. IEEE Transactions on Systems Man and Cybernetics Systems. 51(1). 464–476. 81 indexed citations
20.
Sun, Peijie, Le Wu, & Meng Wang. (2018). Attentive Recurrent Social Recommendation. 185–194. 87 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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