Yirui Wu

1.7k total citations · 2 hit papers
75 papers, 1.1k citations indexed

About

Yirui Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Yirui Wu has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 13 papers in Media Technology. Recurrent topics in Yirui Wu's work include Handwritten Text Recognition Techniques (12 papers), Hydrological Forecasting Using AI (11 papers) and Advanced Neural Network Applications (11 papers). Yirui Wu is often cited by papers focused on Handwritten Text Recognition Techniques (12 papers), Hydrological Forecasting Using AI (11 papers) and Advanced Neural Network Applications (11 papers). Yirui Wu collaborates with scholars based in China, Malaysia and Italy. Yirui Wu's co-authors include Shaohua Wan, Jun Feng, Tong Lü, Stefano Berretti, Chinmay Chakraborty, Mohammad R. Khosravi, Palaiahnakote Shivakumara, Yukai Ding, Hao Cao and Zehuan Yuan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Yirui Wu

66 papers receiving 1.1k citations

Hit Papers

Medical Image Encryption by Content-Aware DNA Computing f... 2022 2026 2023 2024 2022 2022 40 80 120
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. Medical Image Encryption by Content-Aware DNA Computing for Secure Healthcare
    2022 145 citations Yirui Wu, Stefano Berretti et al. IEEE Transactions on Industrial Informatics profile →
  2. Edge Computing Driven Low-Light Image Dynamic Enhancement for Object Detection
    2022 141 citations Yirui Wu, Chinmay Chakraborty et al. IEEE Transactions on Network Science and Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yirui Wu China 19 509 350 143 126 102 75 1.1k
Shuai Xiao China 18 483 0.9× 218 0.6× 62 0.4× 104 0.8× 48 0.5× 76 1.0k
Md. Monirul Islam Bangladesh 18 304 0.6× 638 1.8× 58 0.4× 52 0.4× 107 1.0× 50 1.2k
V. Sowmya India 21 461 0.9× 376 1.1× 114 0.8× 169 1.3× 299 2.9× 143 1.6k
Mst Shamima Nasrin United States 3 392 0.8× 548 1.6× 55 0.4× 81 0.6× 70 0.7× 4 1.4k
Brian C. Van Essen United States 6 283 0.6× 340 1.0× 56 0.4× 120 1.0× 61 0.6× 10 1.2k
Yun Xiao China 14 829 1.6× 675 1.9× 58 0.4× 85 0.7× 183 1.8× 60 1.8k
Maria Presa Reyes United States 7 256 0.5× 426 1.2× 42 0.3× 117 0.9× 36 0.4× 7 1.0k
Liguo Weng China 19 308 0.6× 286 0.8× 123 0.9× 62 0.5× 266 2.6× 73 979

Countries citing papers authored by Yirui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yirui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yirui Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yirui Wu. A scholar is included among the top collaborators of Yirui 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 Yirui Wu. Yirui 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.
Gao, Sheng, et al.. (2025). A hybrid deep learning model based on EMD algorithm for non-stationary water level prediction of estuarine systems. Estuarine Coastal and Shelf Science. 314. 109128–109128. 3 indexed citations
2.
Wu, Yirui, et al.. (2025). A Remote Sensing Image Classification Method Based on Detail Attention Sampling and Teacher-Student Network. Journal of Data and Information Quality. 17(3). 1–19.
3.
Wu, Yirui, et al.. (2025). LLM-centric collaborative computing framework: Leveraging industry specified knowledge for open-set visual recognition. Applied Soft Computing. 186. 114028–114028. 1 indexed citations
4.
5.
Wang, Huan, Junyang Chen, Yirui Wu, Victor C. M. Leung, & Di Wang. (2025). EPM: Evolutionary Perception Method for Anomaly Detection in Noisy Dynamic Graphs. IEEE Transactions on Knowledge and Data Engineering. 1–14.
6.
Chen, Junyang, et al.. (2024). Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8283–8291. 4 indexed citations
7.
Wu, Yirui, et al.. (2024). Edge Computing and Few-Shot Learning Featured Intelligent Framework in Digital Twin Empowered Mobile Networks. IEEE Transactions on Network and Service Management. 21(6). 6505–6514. 1 indexed citations
8.
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10.
Cao, Hao, et al.. (2023). Attention-Based Active Learning Framework for Segmentation of Breast Cancer in Mammograms. Applied Sciences. 13(2). 852–852. 6 indexed citations
11.
Feng, Jun, et al.. (2023). Data-Driven and Knowledge-Guided Heterogeneous Graphs and Temporal Convolution Networks for Flood Forecasting. Applied Sciences. 13(12). 7191–7191. 4 indexed citations
12.
Wu, Yirui, et al.. (2023). CDText: Scene text detector based on context-aware deformable transformer. Pattern Recognition Letters. 172. 8–14. 2 indexed citations
13.
Wu, Yirui, et al.. (2022). Edge Computing Driven Low-Light Image Dynamic Enhancement for Object Detection. IEEE Transactions on Network Science and Engineering. 10(5). 3086–3098. 141 indexed citations breakdown →
14.
Wu, Yirui, et al.. (2022). Medical Image Encryption by Content-Aware DNA Computing for Secure Healthcare. IEEE Transactions on Industrial Informatics. 19(2). 2089–2098. 145 indexed citations breakdown →
15.
Wu, Yirui, et al.. (2021). Arbitrary shape scene-text detection based on pixel aggregation and feature enhancement. Journal of Image and Graphics. 26(7). 1614–1624. 1 indexed citations
16.
Wu, Yirui, Xiao Tan, & Tong Lü. (2020). A New Multiple-Distribution GAN Model to Solve Complexity in End-to-End Chromosome Karyotyping. Complexity. 2020. 1–15. 9 indexed citations
17.
Liu, Li, Lihuan He, Yu Bai, et al.. (2020). Spatial and temporal variability of air quality in Shanghai in 2015. SHILAP Revista de lepidopterología. 194. 5063–5063. 1 indexed citations
18.
Feng, Jun, et al.. (2020). Time Series Segmentation of Flood Flow Based on Bi-LG-LSTM Neural Network. 54. 162–169. 1 indexed citations
19.
Li, Xiaofang, Yirui Wu, Wen Zhang, Ruichao Wang, & Feng Hou. (2019). Deep learning methods in real-time image super-resolution: a survey. Journal of Real-Time Image Processing. 17(6). 1885–1909. 34 indexed citations
20.
Wu, Yirui, et al.. (2018). End-To-End Chromosome Karyotyping with Data Augmentation Using GAN. 2456–2460. 27 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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