Hongxia Yang

7.1k citations
128 papers · 3.0k · 1 hit paper · h-index 28

Impact in

Papers in

Hongxia Yang

125 papers receiving 2.9k citations

Hongxia Yang's Hit Papers

GraphMAE: Self-Supervised Masked Graph Autoencoders 2022 · 293 citations
2930+1+2Years since publication50100150200250

Peers

Hongxia Yang
Comparison fields: 5 of 135
  • Artificial Intelligence 2.0k
  • Information Systems 1.2k
  • Computer Vision and Pattern Recognition 672
  • Statistical and Nonlinear Physics 364
  • Management Science and Operations Research 279
Replace Zhe Zhao with:
Zhe Zhao China
Ni Lao United States
Chen Gao China
Chuan Zhou China
Yue Xu Australia
Tong Chen China
Min Gao China
Xiaoming Li China
Neil Hurley Ireland
Shou-De Lin Taiwan
Hongxia Yang relative to Zhe Zhao China Zhe Zhao's profile →
Citations per field
00.5×3.1×
Zhe Zhao · 1×
Citations per year

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

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GraphMAE: Self-Supervised Masked Graph Autoencoders
Hit paper breakdown →
2022293
2 2019185
3 2020168
4 2018156
5 2020149
6 2019139
7 2020108
8 202286
9 202182
10 202181
11 201975
12 200766
13 202063
14 202354
15
CogLTX: Applying BERT to Long Texts
202049
16 202147
17 201947
18 201845
19 201841
20 201738

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 128 papers that have together received 3.0k 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), Advanced Image and Video Retrieval Techniques (10 papers), Multimodal Machine Learning Applications (10 papers) and Advanced Bandit Algorithms Research (10 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Information Systems (1.2k citations), Computer Vision and Pattern Recognition (672 citations), Statistical and Nonlinear Physics (364 citations) and Management Science and Operations Research (279 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, Xiao Liu and Ninghao Liu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, Applied Stochastic Models in Business and Industry, Journal of Energy Storage and Structures.

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.

Explore authors with similar magnitude of impact