Dayan Wu

979 total citations
49 papers, 573 citations indexed

About

Dayan Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Dayan Wu has authored 49 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Dayan Wu's work include Advanced Image and Video Retrieval Techniques (29 papers), Video Surveillance and Tracking Methods (20 papers) and Advanced Neural Network Applications (11 papers). Dayan Wu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (29 papers), Video Surveillance and Tracking Methods (20 papers) and Advanced Neural Network Applications (11 papers). Dayan Wu collaborates with scholars based in China, Canada and United Kingdom. Dayan Wu's co-authors include Weiping Wang, Bo Li, Wanqian Zhang, Yu Zhou, Jing Liu, Qi Dai, Zheng Lin, Yucan Zhou, Haisu Zhang and Dan Meng and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Circuits and Systems for Video Technology and Knowledge-Based Systems.

In The Last Decade

Dayan Wu

46 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dayan Wu China 14 500 181 38 30 20 49 573
Jianfu Zhang China 11 334 0.7× 99 0.5× 41 1.1× 48 1.6× 15 0.8× 35 405
Peter Jin United States 4 221 0.4× 130 0.7× 26 0.7× 21 0.7× 23 1.1× 6 296
Zhimao Peng China 3 242 0.5× 203 1.1× 32 0.8× 16 0.5× 6 0.3× 5 343
Jinheng Xie China 7 259 0.5× 214 1.2× 24 0.6× 10 0.3× 24 1.2× 16 381
I‐Hong Jhuo Taiwan 9 386 0.8× 276 1.5× 41 1.1× 26 0.9× 55 2.8× 17 515
Zhihe Lu China 8 384 0.8× 263 1.5× 28 0.7× 11 0.4× 21 1.1× 16 458
Xiaodong Yu China 11 261 0.5× 62 0.3× 25 0.7× 60 2.0× 27 1.4× 28 312
Zihang Lai United Kingdom 5 307 0.6× 124 0.7× 41 1.1× 13 0.4× 8 0.4× 10 372
Jiazhen Lin China 6 191 0.4× 179 1.0× 26 0.7× 7 0.2× 9 0.5× 14 317

Countries citing papers authored by Dayan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dayan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dayan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dayan Wu. A scholar is included among the top collaborators of Dayan 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 Dayan Wu. Dayan Wu 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.
Li, Jingyu, et al.. (2025). TextSafety: Visual Text Vanishing via Hierarchical Context-Aware Interaction Reconstruction. IEEE Transactions on Information Forensics and Security. 20. 1421–1433.
2.
3.
Zhang, Wanqian, et al.. (2024). Disrupting Diffusion: Token-Level Attention Erasure Attack against Diffusion-based Customization. 3587–3596. 1 indexed citations
4.
Wu, Dayan, et al.. (2024). Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9169–9177. 1 indexed citations
5.
6.
Zhang, Wanqian, et al.. (2024). SD4Privacy: Exploiting Stable Diffusion for Protecting Facial Privacy. 1–6. 1 indexed citations
7.
Wu, Dayan, et al.. (2024). Central similarity consistency hashing for asymmetric image retrieval. Computational Visual Media. 10(4). 725–740. 2 indexed citations
8.
Wang, Chen, Jiadai Sun, Lina Liu, et al.. (2023). Digging into Depth Priors for Outdoor Neural Radiance Fields. 1221–1230. 10 indexed citations
9.
Chen, Xiaohua, Yucan Zhou, Dayan Wu, et al.. (2023). AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification. 19220–19230. 22 indexed citations
10.
Zhang, Wanqian, et al.. (2023). Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval. 18962–18972. 15 indexed citations
11.
Wu, Dayan, et al.. (2022). Deep Piecewise Hashing for Efficient Hamming Space Retrieval. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3199–3203. 1 indexed citations
12.
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
13.
14.
Zhou, Yucan, et al.. (2021). Disturbance Consistent Self-Ensembling for Semi-Supervised Hashing. 1–6. 1 indexed citations
15.
Xiong, Zhi, Dayan Wu, Wen Gu, et al.. (2020). Deep Discrete Attention Guided Hashing for Face Image Retrieval. 136–144. 6 indexed citations
16.
Zhang, Wanqian, Dayan Wu, Jing Liu, et al.. (2019). Fast and Multilevel Semantic-Preserving Discrete Hashing.. British Machine Vision Conference. 157. 5 indexed citations
17.
Wu, Dayan, Qi Dai, Jing Liu, Bo Li, & Weiping Wang. (2019). Deep Incremental Hashing Network for Efficient Image Retrieval. 9061–9069. 73 indexed citations
18.
Wu, Dayan, Jing Liu, Bo Li, & Weiping Wang. (2018). Deep Index-Compatible Hashing for Fast Image Retrieval. 1–6. 12 indexed citations
19.
Wu, Dayan, Zheng Lin, Bo Li, Jing Liu, & Weiping Wang. (2018). Deep Uniqueness-Aware Hashing for Fine-Grained Multi-Label Image Retrieval. 1683–1687. 6 indexed citations
20.
Wu, Dayan, et al.. (2017). Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval. 150–158. 52 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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