Hongxia Yang

6.9k citations

130 papers · 2.9k · 1 hit paper · h-index 27

Impact in

Artificial Intelligence top 0.5%
- Advanced Graph Neural Networks
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
Information Systems top 0.5%
- Recommender Systems and Techniques

Papers in

Artificial Intelligence 78
- Advanced Graph Neural Networks 35
- Topic Modeling 15
- Domain Adaptation and Few-Shot Learning 12
Information Systems 34
- Recommender Systems and Techniques 33

Co-authors: Jie Tang (16 shared papers)Chang Zhou (18 shared papers)Jingren Zhou (21 shared papers)Yukuo Cen (6 shared papers)Jianwei Zhang (5 shared papers)Jianxin Ma (9 shared papers)Yuxiao Dong (5 shared papers)Ming Ding (4 shared papers)
Journals: IEEE Transactions on Knowledge and Data Engineering (5 papers)ACM Transactions on Knowledge Discovery from Data (3 papers)Journal of Energy Storage (2 papers)Structures (2 papers)Applied Stochastic Models in Business and Industry (2 papers)
Partner nations: China United States Singapore

In The Last Decade

Hongxia Yang

124 papers receiving 2.8k citations

Hongxia Yang's Hit Papers

align trajectories log scale

GraphMAE: Self-Supervised Masked Graph Autoencoders 2022 · 269 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Peers

Countries citing papers authored by Hongxia Yang

Since Specialization

Citations

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

Fields of papers citing papers by Hongxia Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hongxia Yang, 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 Hongxia Yang Line = papers co-authored together Hongxia Yang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	GraphMAE: Self-Supervised Masked Graph Autoencoders Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ·Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang Hit paper breakdown →	2022	269
2	AliGraph Proceedings of the VLDB Endowment ·Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou	2019	179
3	Controllable Multi-Interest Framework for Recommendation Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang	2020	162
4	ANRL: Attributed Network Representation Learning via Deep Neural Networks Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang	2018	154
5	Disentangled Self-Supervision in Sequential Recommenders Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu	2020	143
6	Towards Knowledge-Based Recommender Dialog System Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang	2019	133
7	Understanding Negative Sampling in Graph Representation Learning Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang	2020	106
8	Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang	2021	81
9	Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI IEEE Transactions on Knowledge and Data Engineering ·Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang	2022	79
10	Sparse-Interest Network for Sequential Recommendation Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu	2021	76
11	Sequential Scenario-Specific Meta Learner for Online Recommendation Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang	2019	74
12	Summer-time denitrification and nitrous oxide exchange in the intertidal zone of the Yangtze Estuary Estuarine Coastal and Shelf Science ·Dongqi Wang, Zhenlou Chen, Jun Wang, Shiyuan Xu, Hongxia Yang, Hua Chen, Longyuan Yang, Lingzhen Hu	2007	66
13	Learning to Hash with Graph Neural Networks for Recommender Systems Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu	2020	61
14	CogLTX: Applying BERT to Long Texts Neural Information Processing Systems ·Ming Ding, Chang Zhou, Hongxia Yang, Jie Tang	2020	48
15	Enhanced norfloxacin degradation by three-dimensional (3D) electrochemical activation of peroxymonosulfate using Mn/Cu co-doped activated carbon particle electrode Separation and Purification Technology ·Mingming Ta, Tuo Wang, Juan Guo, Yong Wang, Jian Zhang, Chuanliang Zhao, Shuaishuai Liu, Gaihui Liu, Hongxia Yang	2023	48
16	Dynamic Memory based Attention Network for Sequential Recommendation Proceedings of the AAAI Conference on Artificial Intelligence ·Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Hu Xia	2021	46
17	SPARC Dawei Zhou, Jingrui He, Hongxia Yang, Wei Fan	2018	45
18	Learning Disentangled Representations for Recommendation arXiv (Cornell University) ·Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, Wenwu Zhu	2019	45
19	Adversarial Detection with Model Interpretation Ninghao Liu, Hongxia Yang, Xia Hu	2018	39
20	A Hybrid Framework for Text Modeling with Convolutional RNN Chenglong Wang, Feijun Jiang, Hongxia Yang	2017	38

About Hongxia Yang

Hongxia Yang is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 130 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (35 papers), Recommender Systems and Techniques (33 papers), Complex Network Analysis Techniques (17 papers), Topic Modeling (15 papers), Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (10 papers), Advanced Bandit Algorithms Research (10 papers) and Advanced Image and Video Retrieval Techniques (10 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Information Systems (1.2k citations), Computer Vision and Pattern Recognition (650 citations), Statistical and Nonlinear Physics (360 citations) and Management Science and Operations Research (269 citations). Hongxia Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jie Tang, Chang Zhou, Jingren Zhou, Yukuo Cen, Jianwei Zhang, Jianxin Ma, Yuxiao Dong, Ming Ding, Ninghao Liu and Xiao Liu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, Journal of Energy Storage, Structures and Applied Stochastic Models in Business and Industry.

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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Hongxia Yang

Hongxia Yang's Hit Papers

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Countries citing papers authored by Hongxia Yang

Fields of papers citing papers by Hongxia Yang

All Works

About Hongxia Yang

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