Yue Hu

1.4k total citations
69 papers, 811 citations indexed

About

Yue Hu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yue Hu has authored 69 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 12 papers in Information Systems. Recurrent topics in Yue Hu's work include Topic Modeling (31 papers), Natural Language Processing Techniques (21 papers) and Multimodal Machine Learning Applications (18 papers). Yue Hu is often cited by papers focused on Topic Modeling (31 papers), Natural Language Processing Techniques (21 papers) and Multimodal Machine Learning Applications (18 papers). Yue Hu collaborates with scholars based in China, Australia and United States. Yue Hu's co-authors include Chuan Zhou, Jia Wu, Jing Yu, Li Gao, Qi Wu, Hong Yang, Zengchang Qin, Weifeng Zhang, Li Guo and Jianlong Tan and has published in prestigious journals such as Angewandte Chemie International Edition, IEEE Transactions on Image Processing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Yue Hu

63 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yue Hu China 16 599 285 225 62 60 69 811
Shiwen Wu China 5 680 1.1× 208 0.7× 628 2.8× 57 0.9× 86 1.4× 6 951
X. H. Xie China 1 431 0.7× 124 0.4× 330 1.5× 41 0.7× 60 1.0× 2 594
Jianxin Ma China 10 448 0.7× 127 0.4× 331 1.5× 97 1.6× 86 1.4× 15 599
Yuhao Yang China 10 509 0.8× 120 0.4× 477 2.1× 31 0.5× 64 1.1× 15 661
Quanyu Dai China 16 622 1.0× 163 0.6× 296 1.3× 141 2.3× 65 1.1× 44 829
C. Ravindranath Chowdary India 13 282 0.5× 209 0.7× 249 1.1× 71 1.1× 73 1.2× 40 640
Xian-Ling Mao China 24 1.2k 2.0× 608 2.1× 443 2.0× 43 0.7× 49 0.8× 112 1.6k
Lifu Huang United States 20 1.1k 1.8× 229 0.8× 151 0.7× 29 0.5× 46 0.8× 66 1.2k
Zhankui He United States 9 515 0.9× 214 0.8× 549 2.4× 17 0.3× 59 1.0× 23 743

Countries citing papers authored by Yue Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yue Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Hu. A scholar is included among the top collaborators of Yue 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 Yue Hu. Yue 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.
Yu, Jing, et al.. (2024). Context-I2W: Mapping Images to Context-Dependent Words for Accurate Zero-Shot Composed Image Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5180–5188. 8 indexed citations
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Yu, Jing, et al.. (2023). Towards Fast and Accurate Image-Text Retrieval With Self-Supervised Fine-Grained Alignment. IEEE Transactions on Multimedia. 26. 1361–1372. 11 indexed citations
4.
Zhang, Peng, et al.. (2023). HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks. IEEE Transactions on Knowledge and Data Engineering. 35(9). 9448–9461. 22 indexed citations
5.
Hu, Yue, et al.. (2022). A Robust De-noising Method via Training Loss for Distantly Supervised Relation Extraction. 2022 International Joint Conference on Neural Networks (IJCNN). 1–9. 1 indexed citations
6.
Zhang, Bo, Yue Hu, Duo Xu, Maozhen Li, & Meizi Li. (2022). SKG-Learning: a deep learning model for sentiment knowledge graph construction in social networks. Neural Computing and Applications. 34(13). 11015–11034. 11 indexed citations
7.
Wang, Ziyang, et al.. (2022). Multi-level Contrastive Learning Framework for Sequential Recommendation. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2098–2107. 33 indexed citations
8.
Hu, Yue, et al.. (2021). On Learning Universal Representations Across Languages. International Conference on Learning Representations. 33 indexed citations
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Yu, Heng, et al.. (2020). Uncertainty-Aware Semantic Augmentation for Neural Machine Translation. 2724–2735. 16 indexed citations
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Li, Yunpeng, et al.. (2020). IIE’s Neural Machine Translation Systems for WMT20. Empirical Methods in Natural Language Processing. 300–304.
14.
Yu, Jing, et al.. (2020). Learning Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue. IEEE Transactions on Image Processing. 30. 220–233. 26 indexed citations
15.
Yu, Jing, Weifeng Zhang, Yuhang Lu, et al.. (2020). Reasoning on the Relation: Enhancing Visual Representation for Visual Question Answering and Cross-Modal Retrieval. IEEE Transactions on Multimedia. 22(12). 3196–3209. 76 indexed citations
16.
Peng, Wei, et al.. (2020). Bi-directional CognitiveThinking Network for Machine Reading Comprehension. 2613–2623. 8 indexed citations
17.
Yang, Zhuoqian, Jing Yu, Chenghao Yang, Zengchang Qin, & Yue Hu. (2018). Multi-modal Learning with Prior Visual Relation Reasoning.. arXiv (Cornell University). 8 indexed citations
18.
Zhang, Kai, et al.. (2016). Leveraging Latent Sentiment Constraint in Probabilistic Matrix Factorization for Cross-domain Sentiment Classification. Procedia Computer Science. 80. 366–375. 6 indexed citations
19.
Hu, Yue. (2012). Status of China Cotton Trade and Analysis on Its International Competition. 1 indexed citations
20.
Hu, Yue, et al.. (2003). Semantic language and multi-language MT approach based on SL. Journal of Computer Science and Technology. 18(6). 848–852. 10 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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