Pengpeng Zhao

4.3k citations

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

Transportation top 0.5%
- Human Mobility and Location-Based Analysis 13
Information Systems top 0.5%
- Recommender Systems and Techniques 40
- Web Data Mining and Analysis 6
Artificial Intelligence top 1%
- Advanced Graph Neural Networks 26
- Topic Modeling 15
Signal Processing top 2%
- Data Management and Algorithms 15
Computer Vision and Pattern Recognition top 2%
- Image Retrieval and Classification Techniques 15
- Advanced Image and Video Retrieval Techniques 9

Co-authors: Jiajie Xu Victor S. Sheng Xiaofang Zhou Yanchi Liu Fuzhen Zhuang Junhua Fang Chengfeng Xu Zhixu Li
Cited by: Transportation Information Systems Artificial Intelligence
Journals: Food Chemistry (1 paper)IEEE Access (4 papers)Pattern Recognition (1 paper)
Partner nations: China Australia United States

In The Last Decade

Pengpeng Zhao

96 papers receiving 2.4k citations

Hit Papers

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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.

2020 IEEE Transactions on Knowledge and Data Engineering
2019 Rare & Special e-Zone (The Hong Kong University of Science and Technology)

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

The 25 scholars most cited alongside Pengpeng Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pengpeng Zhao Line = papers co-authored together Pengpeng Zhao links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

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