Pengpeng Zhao

4.3k citations

102 papers · 2.4k indexed · 2 hit papers · h-index 23

Information Systems top 0.5%
Artificial Intelligence top 1%
Computer Vision and Pattern Recognition top 2%
Transportation top 0.5%
Signal Processing top 2%

Co-authors: Jiajie Xu Victor S. Sheng Xiaofang Zhou Yanchi Liu Fuzhen Zhuang Junhua Fang Chengfeng Xu Zhixu Li
Topics: Recommender Systems and Techniques (40 papers)Advanced Graph Neural Networks (26 papers)Topic Modeling (15 papers)
Cited by: Transportation Information Systems Artificial Intelligence
Journals: Food Chemistry IEEE Access Pattern Recognition
Partner nations: China Australia United States

In The Last Decade

Pengpeng Zhao

96 papers receiving 2.4k citations

Hit Papers

align trajectories

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.

Graph Contextualized Self-Attention Network for Session-based Recommendation

2019 356 citations Chengfeng Xu, Pengpeng Zhao et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

2020 210 citations Pengpeng Zhao, Anjing Luo et al. IEEE Transactions on Knowledge and Data Engineering profile →

Peers

Countries citing papers authored by Pengpeng Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Pengpeng Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengpeng Zhao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Contrastive Variational Group Recommendation With Data-Agnostic Augmentation 2025 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown),Jiajie Xu,Rui Zhou,(unknown),Jianxin Li,Pengpeng Zhao,Chengfei Liu	0
2	Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering 2024 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown),Pengpeng Zhao,(unknown),Lei Zhao,Guanfeng Liu,Fuzhen Zhuang,Victor S. Sheng,Xiaofang Zhou	1
3	LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning 2024 ·ACM Transactions on Knowledge Discovery from Data ·(unknown),(unknown),Lei Zhao,Guanfeng Liu,Victor S. Sheng,Pengpeng Zhao	3
4	A General Strategy Graph Collaborative Filtering for Recommendation Unlearning 2024 ·(unknown),Fuzhen Zhuang,Deqing Wang,Guanfeng Liu,Victor S. Sheng,Pengpeng Zhao	0
5	Influence of the interparticle friction coefficient on the mechanical behaviour of breakable granular materials with realistic shape 2023 ·Advanced Powder Technology ·Zhihong Nie,(unknown),Pengpeng Zhao,Chuanfeng Fang	10
6	Quaternion-based graph convolution network for recommendation 2023 ·World Wide Web ·(unknown),Pengpeng Zhao,Guanfeng Liu,Yanchi Liu,Victor S. Sheng,Lei Zhao,Xiaofang Zhou	1
7	MoviNet: A novel network for cross-modal map extraction by vision transformer and CNN 2023 ·Knowledge-Based Systems ·Zheng Chen,Junhua Fang,Pingfu Chao,Pengpeng Zhao,Jiajie Xu,Lei Zhao	5
8	Multi-Hop Knowledge Graph Reasoning in Few-Shot Scenarios 2023 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown),Wei Chen,Weiqing Wang,Pengpeng Zhao,Hongzhi Yin,Lei Zhao	12
9	Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation 2023 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown),(unknown),Pengpeng Zhao,Deqing Wang,Victor S. Sheng,(unknown),Guanfeng Liu,Lei Zhao	1
10	Learning Global and Multi-granularity Local Representation with MLP for Sequential Recommendation 2023 ·ACM Transactions on Knowledge Discovery from Data ·(unknown),(unknown),Junhua Fang,(unknown),Guanfeng Liu,Victor S. Sheng,Pengpeng Zhao	4
11	Learnable Model Augmentation Contrastive Learning for Sequential Recommendation 2023 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown),Pengpeng Zhao,(unknown),Guanfeng Liu,Lei Zhao,Yanchi Liu,Victor S. Sheng,Xiaofang Zhou	3
12	Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation 2023 ·(unknown),(unknown),Pengpeng Zhao,Fuzhen Zhuang,Guanfeng Liu,Lei Zhao,(unknown),Victor S. Sheng	12
13	Frequency Enhanced Hybrid Attention Network for Sequential Recommendation 2023 ·(unknown),(unknown),Pengpeng Zhao,(unknown),Fuzhen Zhuang,Guanfeng Liu,(unknown),Victor S. Sheng	37
14	Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation 2023 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown),Tingting Zhang,Pengpeng Zhao,Yanchi Liu,Victor S. Sheng,Jiajie Xu,Guanfeng Liu,Xiaofang Zhou	27
15	Mixed Mulberry Fruit and Mulberry Leaf Fermented Alcoholic Beverages: Assessment of Chemical Composition, Antioxidant Capacity In Vitro and Sensory Evaluation 2022 ·Foods ·(unknown),Jinling Chen,Feng Xu,(unknown),Pengpeng Zhao,(unknown),Yongbin Han,Jie Yang,Yang Tao	9
16	Screening of a Novel Lactiplantibacillus plantarum MMB-05 and Lacticaseibacillus casei Fermented Sandwich Seaweed Scraps: Chemical Composition, In Vitro Antioxidant, and Volatile Compounds Analysis by GC-IMS 2022 ·Foods ·(unknown),Jinling Chen,Jie Xu,Han Gu,Pengpeng Zhao,Wenbin Wang,(unknown),Yang Tao,Hongli Wang,Jie Yang	17
17	Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification 2020 ·Neural Networks ·Dongbo Xi,Fuzhen Zhuang,Yanchi Liu,Hengshu Zhu,Pengpeng Zhao,(unknown),Qing He	8
18	Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendationbreakdown → 2020 ·IEEE Transactions on Knowledge and Data Engineering ·Pengpeng Zhao,Anjing Luo,Yanchi Liu,Jiajie Xu,Zhixu Li,Fuzhen Zhuang,Victor S. Sheng,Xiaofang Zhou	210
19	Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation 2019 ·IEEE Transactions on Knowledge and Data Engineering ·Pengpeng Zhao,Chengfeng Xu,Yanchi Liu,Victor S. Sheng,Kai Zheng,Hui Xiong,Xiaofang Zhou	21
20	Deep Web Sources Focused Crawling. 2007 ·Pengpeng Zhao,(unknown),Ling Gao,Zhiming Cui	1

About Pengpeng Zhao

Pengpeng Zhao is a scholar working on Information Systems, Transportation and Computational Mathematics, having authored 102 papers that have together received 2.4k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (40 papers), Advanced Graph Neural Networks (26 papers) and Topic Modeling (15 papers). The work is most often cited by research in Transportation (543 citations), Information Systems (1.4k citations) and Artificial Intelligence (1.1k citations). Pengpeng Zhao has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jiajie Xu, Victor S. Sheng, Xiaofang Zhou, Yanchi Liu, Fuzhen Zhuang, Junhua Fang, Chengfeng Xu, Zhixu Li, Kai Zheng and Guanfeng Liu. Their work appears in journals such as Food Chemistry, IEEE Access and Pattern Recognition.

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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