Hanrui Wu

1.3k total citations
45 papers, 922 citations indexed

About

Hanrui Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Hanrui Wu has authored 45 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 8 papers in Cognitive Neuroscience. Recurrent topics in Hanrui Wu's work include Domain Adaptation and Few-Shot Learning (20 papers), Machine Learning and ELM (12 papers) and Multimodal Machine Learning Applications (12 papers). Hanrui Wu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (20 papers), Machine Learning and ELM (12 papers) and Multimodal Machine Learning Applications (12 papers). Hanrui Wu collaborates with scholars based in China, Hong Kong and Poland. Hanrui Wu's co-authors include Michael K. Ng, Yuguang Yan, Qingyao Wu, Jinyi Long, Jia Zhang, Mingkui Tan, Huaqing Min, Xiaoming Zhou, Sentao Chen and Tianyong Hao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Hanrui Wu

40 papers receiving 907 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hanrui Wu China	21	674	373	121	99	57	45	922
Adam Pocock United Kingdom	8	465 0.7×	303 0.8×	91 0.8×	62 0.6×	107 1.9×	15	935
Yuguang Yan China	16	506 0.8×	290 0.8×	51 0.4×	33 0.3×	37 0.6×	38	718
Han Zhao United States	13	729 1.1×	404 1.1×	49 0.4×	20 0.2×	30 0.5×	46	961
Alexis Battle United States	5	688 1.0×	481 1.3×	71 0.6×	35 0.4×	109 1.9×	7	1.1k
Xu Yang China	17	567 0.8×	430 1.2×	92 0.8×	16 0.2×	19 0.3×	55	873
Xu Jia China	9	954 1.4×	593 1.6×	54 0.4×	25 0.3×	48 0.8×	17	1.3k
Rongyao Hu China	18	687 1.0×	731 2.0×	57 0.5×	68 0.7×	51 0.9×	42	1.2k
Bo Geng China	12	618 0.9×	859 2.3×	70 0.6×	15 0.2×	71 1.2×	34	1.2k

Countries citing papers authored by Hanrui Wu

Since Specialization

Citations

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

Fields of papers citing papers by Hanrui Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanrui Wu

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

All Works

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20 of 20 papers shown

Zhang, Jia, Siwei Liu, Hanrui Wu, Zhe Zhang, & Jinyi Long. (2025). EEG Feature Selection in Emotion Recognition Using a Fuzzy Information-Theoretic Based Optimization Approach. IEEE Transactions on Fuzzy Systems. 33(8). 2675–2688.

Liu, Siwei, Jia Zhang, Hanrui Wu, et al.. (2025). Towards spatio-temporal representation learning for EEG classification in motor imagery-based BCI system. Knowledge-Based Systems. 324. 113801–113801.

Wu, Hanrui, et al.. (2025). Cold-start User Recommendation via Heterogeneous Domain Adaptation. ACM Transactions on Information Systems. 43(5). 1–26.

Zhang, Jia, et al.. (2024). Toward Cross-Brain-Computer Interface: A Prototype-Supervised Adversarial Transfer Learning Approach With Multiple Sources. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 3 indexed citations

Zhang, Jia, et al.. (2024). Consistent and specific multi-view multi-label learning with correlation information. Information Sciences. 687. 121395–121395. 1 indexed citations

Wu, Hanrui, et al.. (2024). Online Privacy-Preserving EEG Classification by Source-Free Transfer Learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 3059–3070. 4 indexed citations

Wu, Hanrui, et al.. (2024). Online Transfer Learning With Pseudo Label for Gait Phase Prediction. IEEE Transactions on Instrumentation and Measurement. 73. 1–15. 1 indexed citations

Du, Guodong, et al.. (2024). Semi-supervised imbalanced multi-label classification with label propagation. Pattern Recognition. 150. 110358–110358. 23 indexed citations

Wu, Hanrui, et al.. (2024). Transferable graph auto-encoders for cross-network node classification. Pattern Recognition. 150. 110334–110334. 8 indexed citations

10.

Wu, Hanrui, et al.. (2024). Unsupervised heterogeneous domain adaptation for EEG classification. Journal of Neural Engineering. 21(4). 46018–46018. 5 indexed citations

11.

Ng, Michael K., et al.. (2024). Stability and Generalization of Hypergraph Collaborative Networks. 21(1). 184–196.

12.

Wu, Hanrui, et al.. (2023). Collaborative contrastive learning for hypergraph node classification. Pattern Recognition. 146. 109995–109995. 21 indexed citations

13.

Wu, Hanrui, et al.. (2023). Simplicial Complex Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(1). 561–575. 23 indexed citations

14.

Wu, Hanrui, et al.. (2023). Transferable multi-modal fusion in knee angles and gait phases for their continuous prediction. Journal of Neural Engineering. 20(3). 36019–36019. 6 indexed citations

15.

Wu, Hanrui, et al.. (2023). Feature Matching Machine for Cold-Start Recommendation. IEEE Transactions on Services Computing. 17(1). 98–112. 2 indexed citations

16.

Wu, Hanrui, et al.. (2023). Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders. IEEE Transactions on Services Computing. 16(4). 2477–2489. 11 indexed citations

17.

Liu, Dezheng, Jia Zhang, Hanrui Wu, Siwei Liu, & Jinyi Long. (2022). Multi-Source Transfer Learning for EEG Classification Based on Domain Adversarial Neural Network. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 218–228. 27 indexed citations

18.

Wu, Hanrui, et al.. (2022). Behavior-Dependent Corticocortical Contributions to Imagined Grasping: A BCI-Triggered TMS Study. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 519–529. 4 indexed citations

19.

Liu, Siwei, Jia Zhang, Andong Wang, et al.. (2022). Subject adaptation convolutional neural network for EEG-based motor imagery classification. Journal of Neural Engineering. 19(6). 66003–66003. 19 indexed citations

20.

Wu, Hanrui, et al.. (2022). Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs. ACM Transactions on Information Systems. 41(2). 1–25. 20 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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