Binbin Hu

3.5k total citations · 3 hit papers
46 papers, 2.1k citations indexed

About

Binbin Hu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Binbin Hu has authored 46 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 24 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Binbin Hu's work include Recommender Systems and Techniques (21 papers), Advanced Graph Neural Networks (20 papers) and Topic Modeling (9 papers). Binbin Hu is often cited by papers focused on Recommender Systems and Techniques (21 papers), Advanced Graph Neural Networks (20 papers) and Topic Modeling (9 papers). Binbin Hu collaborates with scholars based in China, United States and Singapore. Binbin Hu's co-authors include Wayne Xin Zhao, Philip S. Yu, Chuan Shi, Yuan Fang, Xiao Wang, Yanfang Ye, Jianan Zhao, Guojie Song, Jun Zhou and Zhiqiang Zhang and has published in prestigious journals such as Journal of Hazardous Materials, IEEE Transactions on Knowledge and Data Engineering and Frontiers in Oncology.

In The Last Decade

Binbin Hu

42 papers receiving 2.0k citations

Hit Papers

Heterogeneous Information Network Embedding for Recommend... 2018 2026 2020 2023 2018 2018 2021 250 500 750
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.

  1. Heterogeneous Information Network Embedding for Recommendation
    2018 792 citations Binbin Hu, Wayne Xin Zhao et al. IEEE Transactions on Knowledge and Data Engineering profile →
  2. Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model
    2018 425 citations Binbin Hu, Chuan Shi et al. profile →
  3. Heterogeneous Graph Structure Learning for Graph Neural Networks
    2021 187 citations Chuan Shi, Binbin Hu et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Binbin Hu China 14 1.7k 1.1k 426 280 265 46 2.1k
Huan Zhao China 17 1.0k 0.6× 977 0.9× 174 0.4× 346 1.2× 226 0.9× 46 1.6k
Kenny Q. Zhu China 20 1.5k 0.9× 627 0.5× 200 0.5× 243 0.9× 170 0.6× 94 2.1k
Panagiotis Symeonidis Greece 23 853 0.5× 1.1k 1.0× 376 0.9× 344 1.2× 212 0.8× 68 1.8k
Richong Zhang China 22 1.2k 0.7× 434 0.4× 139 0.3× 236 0.8× 215 0.8× 118 1.7k
Jian-Tao Sun China 24 1.8k 1.1× 1.0k 0.9× 150 0.4× 409 1.5× 136 0.5× 56 2.6k
Yao Wu China 17 792 0.5× 830 0.7× 252 0.6× 315 1.1× 156 0.6× 42 1.6k
Domenico Ursino Italy 24 794 0.5× 610 0.5× 268 0.6× 165 0.6× 619 2.3× 152 1.6k
Xiao Yu China 15 863 0.5× 639 0.6× 224 0.5× 144 0.5× 170 0.6× 39 1.2k
Lejian Liao China 20 784 0.5× 569 0.5× 156 0.4× 271 1.0× 213 0.8× 123 1.3k
Ron Bekkerman United States 15 862 0.5× 467 0.4× 194 0.5× 216 0.8× 212 0.8× 35 1.3k

Countries citing papers authored by Binbin Hu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Binbin Hu

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

All Works

20 of 20 papers shown
1.
Zhou, Sheng, et al.. (2025). Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. 60–69. 3 indexed citations
2.
Zhang, Yichi, Zhuo Chen, Lingbing Guo, et al.. (2025). Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation. Proceedings of the AAAI Conference on Artificial Intelligence. 39(12). 13322–13330. 1 indexed citations
3.
Gao, Chongming, et al.. (2025). How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. 659–668. 2 indexed citations
4.
Hu, Binbin, Haidong Zhou, Hongfang Yu, et al.. (2024). Using artificial intelligence to rapidly identify microplastics pollution and predict microplastics environmental behaviors. Journal of Hazardous Materials. 474. 134865–134865. 27 indexed citations
5.
Hu, Binbin, et al.. (2024). PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. 228–237. 2 indexed citations
6.
Chen, Zhuo, Lingbing Guo, Yajing Xu, et al.. (2024). NativE: Multi-modal Knowledge Graph Completion in the Wild. 91–101. 10 indexed citations
7.
8.
9.
Hu, Binbin, et al.. (2023). REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9900–9908. 7 indexed citations
10.
Li, Yang, Tao Miao, Binbin Hu, et al.. (2023). InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. 3235–3247. 3 indexed citations
11.
Hu, Binbin, Tianyu Zhao, Wenliang Zhong, et al.. (2023). Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. 2516–2520. 1 indexed citations
12.
13.
Cao, Shaosheng, et al.. (2021). IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation. 30. 2559–2570. 3 indexed citations
14.
Dong, Yi, et al.. (2020). The Modified Volume-Viscosity Swallow Test as a Predictor of Aspiration Pneumonia after Acute Ischemic Stroke. Clinical Neurology and Neurosurgery. 200. 106351–106351. 10 indexed citations
15.
Hu, Binbin, Zhiqiang Zhang, Jun Zhou, et al.. (2020). Loan Default Analysis with Multiplex Graph Learning. 2525–2532. 22 indexed citations
16.
Jiang, Ziwen, Yufei Feng, Binbin Hu, et al.. (2020). EdgeRec. 2477–2484. 40 indexed citations
17.
Hu, Binbin, et al.. (2018). Heterogeneous Information Network Embedding for Recommendation. IEEE Transactions on Knowledge and Data Engineering. 31(2). 357–370. 792 indexed citations breakdown →
18.
Hu, Binbin. (2011). Research of Coordinated Development between Marine Economy and Ecological Environment in Zhejiang Province——Based on the Perspective of a Low-carbon Economy. Huadong jingji guanli. 2 indexed citations
19.
Hu, Binbin. (2005). An Inquiry on the Definition of Cultural Relics of Classical Learning Academy. Journal of Hunan University. 1 indexed citations
20.
Hu, Binbin. (2004). An Inquiry into the Thought of Context in Bloomfield’s Language. 1 indexed citations

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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