Binbin Hu
Impact in
- Artificial Intelligence top 0.5%
- Advanced Graph Neural Networks
- Topic Modeling
- Text and Document Classification Technologies
- Imbalanced Data Classification Techniques
- Information Systems top 0.5%
- Recommender Systems and Techniques
Papers in
-
- Advanced Graph Neural Networks 20
- Topic Modeling 9
- Domain Adaptation and Few-Shot Learning 3
-
- Recommender Systems and Techniques 21
- Co-authors
- Wayne Xin Zhao (5 shared papers)Philip S. Yu (3 shared papers)Chuan Shi (10 shared papers)Yuan Fang (1 shared paper)Xiao Wang (3 shared papers)Yanfang Ye (1 shared paper)Guojie Song (1 shared paper)Jianan Zhao (1 shared paper)
- Journals
- Clinical Neurology and Neurosurgery (1 paper)Frontiers in Oncology (1 paper)Applied Acoustics (1 paper)Journal of Multimedia (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Binbin Hu
42 papers receiving 2.0k citations
Binbin Hu's Hit Papers
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 1.7k
- Information Systems 1.1k
- Statistical and Nonlinear Physics 426
- Computer Vision and Pattern Recognition 280
- Computer Networks and Communications 265
Countries citing papers authored by Binbin Hu
This map shows the geographic impact of Binbin Hu'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 Binbin Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binbin Hu more than expected).
Fields of papers citing papers by Binbin Hu
This network shows the impact of papers produced by Binbin Hu. 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 Binbin Hu. The network helps show where Binbin Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Binbin Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Heterogeneous Information Network Embedding for Recommendation Hit paper breakdown → | 2018 | 792 |
| 2 | Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model Hit paper breakdown → | 2018 | 425 |
| 3 | Heterogeneous Graph Structure Learning for Graph Neural Networks Hit paper breakdown → | 2021 | 187 |
| 4 | 2019 | 153 | |
| 5 | 2019 | 93 | |
| 6 | 2020 | 86 | |
| 7 | 2020 | 40 | |
| 8 | 2012 | 30 | |
| 9 | 2018 | 29 | |
| 10 | 2024 | 27 | |
| 11 | 2021 | 25 | |
| 12 | 2020 | 22 | |
| 13 | 2022 | 22 | |
| 14 | 2024 | 16 | |
| 15 | 2017 | 11 | |
| 16 | 2024 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2023 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2018 | 7 |
About Binbin Hu
Binbin Hu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Management Science and Operations Research, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (21 papers), Advanced Graph Neural Networks (20 papers), Topic Modeling (9 papers), Caching and Content Delivery (6 papers), Graph Theory and Algorithms (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Complex Network Analysis Techniques (3 papers) and Advanced Bandit Algorithms Research (3 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Information Systems (1.1k citations), Statistical and Nonlinear Physics (426 citations), Computer Vision and Pattern Recognition (280 citations) and Computer Networks and Communications (265 citations). Binbin Hu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Wayne Xin Zhao, Philip S. Yu, Chuan Shi, Yuan Fang, Xiao Wang, Yanfang Ye, Guojie Song, Jianan Zhao, Jun Zhou and Zhiqiang Zhang. Their work appears in journals such as Clinical Neurology and Neurosurgery, Frontiers in Oncology, Applied Acoustics, Journal of Multimedia and IEEE Transactions on Knowledge and Data Engineering.
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.