Yucan Zhou

1.4k total citations · 1 hit paper
26 papers, 892 citations indexed

About

Yucan Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Yucan Zhou has authored 26 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Yucan Zhou's work include Advanced Image and Video Retrieval Techniques (6 papers), Machine Learning and Data Classification (4 papers) and Video Surveillance and Tracking Methods (4 papers). Yucan Zhou is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Machine Learning and Data Classification (4 papers) and Video Surveillance and Tracking Methods (4 papers). Yucan Zhou collaborates with scholars based in China, Canada and Saudi Arabia. Yucan Zhou's co-authors include Qinghua Hu, Weiping Wang, Yu Zhou, Zhi Qiao, Dongbao Yang, Lingjun Zhang, Witold Pedrycz, Yu Wang, Dayan Wu and Hong Zhao and has published in prestigious journals such as Renewable Energy, Pattern Recognition and Information Sciences.

In The Last Decade

Yucan Zhou

23 papers receiving 875 citations

Hit Papers

align trajectories

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.

Transfer learning for short-term wind speed prediction with deep neural networks

2015 369 citations Qinghua Hu, Yucan Zhou et al. Renewable Energy profile →

Peers

Yucan Zhou

AI

CVPR

EEE

CTM

IS

Khamron Sunat Thailand

Fernando Fausto Mexico

Mohammed Jameel Yemen

Liquan Zhao China

Itziar Landa-Torres Spain

Zhikai Xing China

Ahmad Nickabadi Iran

A. Mecocci Italy

Xiaoxu Peng China

Ehsan Abbasnejad Australia

Khamron Sunat Thailand

Yucan Zhou

466 ×1.1

AI

203 ×0.6

CVPR

147 ×0.6

EEE

82 ×0.6

CTM

34 ×0.4

IS

Citations per year, relative to Yucan Zhou Yucan Zhou (= 1×) peers Khamron Sunat

Countries citing papers authored by Yucan Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Yucan Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yucan Zhou

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhou, Yucan, et al.. (2025). Adaptive Diversity Induced Reweighting for long-tailed classification. Neural Networks. 189. 107586–107586.

2.

Li, Qi, Yucan Zhou, Jiang Zhou, Xiaoyan Gu, & Bo Li. (2024). Tackling Feature Skew in Heterogeneous Federated Learning with Semantic Enhancement. 1–6.

3.

Zhou, Yucan, et al.. (2024). GIE : Gradient Inversion with Embeddings. 1–6.

4.

Li, H. B., Yucan Zhou, Xiaoyan Gu, Bo Li, & Weiping Wang. (2024). Diversified Semantic Distribution Matching for Dataset Distillation. 7542–7550. 1 indexed citations

5.

Chen, Xiaohua, Yucan Zhou, Dayan Wu, et al.. (2023). AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification. 19220–19230. 22 indexed citations

6.

Zhou, Yucan, Wanqian Zhang, Dayan Wu, et al.. (2022). Uncertainty-Aware and Multigranularity Consistent Constrained Model for Semi-Supervised Hashing. IEEE Transactions on Circuits and Systems for Video Technology. 32(10). 6914–6926. 5 indexed citations

7.

Chen, Xiaohua, Yucan Zhou, Dayan Wu, et al.. (2022). Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 356–364. 31 indexed citations

8.

Wang, Yu, Zhou Wang, Qinghua Hu, Yucan Zhou, & Honglei Su. (2021). Hierarchical Semantic Risk Minimization for Large-Scale Classification. IEEE Transactions on Cybernetics. 52(9). 9546–9558. 12 indexed citations

9.

Zhou, Yucan, Dayan Wu, Wanqian Zhang, et al.. (2021). What Matters: Attentive and Relational Feature Aggregation Network for Video-Text Retrieval. 1–6. 2 indexed citations

10.

Zhou, Yu, Xiaoni Li, Yucan Zhou, et al.. (2021). Deep collaborative multi-task network: A human decision process inspired model for hierarchical image classification. Pattern Recognition. 124. 108449–108449. 10 indexed citations

11.

Zhou, Yucan, et al.. (2021). Disturbance Consistent Self-Ensembling for Semi-Supervised Hashing. 1–6. 1 indexed citations

12.

Liu, Xinxin, Yucan Zhou, & Hong Zhao. (2020). Robust hierarchical feature selection driven by data and knowledge. Information Sciences. 551. 341–357. 22 indexed citations

13.

Zhou, Yucan, Yongzhen Huang, Qinghua Hu, & Liang Wang. (2017). Kernel-Based Semantic Hashing for Gait Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 28(10). 2742–2752. 10 indexed citations

14.

Hu, Qinghua, Lingjun Zhang, Yucan Zhou, & Witold Pedrycz. (2017). Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets. IEEE Transactions on Fuzzy Systems. 26(1). 226–238. 129 indexed citations

15.

Wang, Yu, Qinghua Hu, Yucan Zhou, et al.. (2017). Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. 515–524. 17 indexed citations

16.

Wu, Haoran, Dong Li, Yucan Zhou, & Qinghua Hu. (2017). Multi-View Feature Fusion Network for Vehicle Re-Identification. 39–47. 1 indexed citations

17.

Zhou, Yucan, et al.. (2015). Improved multi-kernel SVM for multi-modal and imbalanced dialogue act classification. 9. 1–8. 6 indexed citations

18.

Hu, Qinghua, et al.. (2015). Transfer learning for short-term wind speed prediction with deep neural networks. Renewable Energy. 85. 83–95. 369 indexed citations breakdown →

19.

Zhou, Yucan, et al.. (2015). Combining heterogeneous deep neural networks with conditional random fields for Chinese dialogue act recognition. Neurocomputing. 168. 408–417. 25 indexed citations

20.

Zhou, Yucan, et al.. (2013). The effect of accent in recognizing dialog act in Chinese. 41. 1–6. 2 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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