Yu Xue

7.4k total citations · 3 hit papers
177 papers, 5.6k citations indexed

About

Yu Xue is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Yu Xue has authored 177 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Artificial Intelligence, 61 papers in Computer Vision and Pattern Recognition and 33 papers in Computational Theory and Mathematics. Recurrent topics in Yu Xue's work include Metaheuristic Optimization Algorithms Research (56 papers), Evolutionary Algorithms and Applications (34 papers) and Advanced Multi-Objective Optimization Algorithms (27 papers). Yu Xue is often cited by papers focused on Metaheuristic Optimization Algorithms Research (56 papers), Evolutionary Algorithms and Applications (34 papers) and Advanced Multi-Objective Optimization Algorithms (27 papers). Yu Xue collaborates with scholars based in China, United Kingdom and United States. Yu Xue's co-authors include Shifei Ding, Ferrante Neri, Jiayu Liang, Xuezhi Wen, Ling Shao, Wei Fang, Bing Xue, Jun Zhang, Adam Słowik and Tinghuai Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and European Journal of Operational Research.

In The Last Decade

Yu Xue

168 papers receiving 5.4k citations

Hit Papers

A rapid learning algorithm for vehicle classification 2014 2026 2018 2022 2014 2017 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Xue China 43 3.0k 1.5k 881 534 474 177 5.6k
Absalom E. Ezugwu South Africa 38 3.0k 1.0× 949 0.6× 897 1.0× 565 1.1× 713 1.5× 167 6.7k
Suresh Chandra Satapathy India 43 2.6k 0.9× 1.7k 1.1× 411 0.5× 361 0.7× 810 1.7× 233 6.8k
Huaxiang Zhang China 40 2.1k 0.7× 2.5k 1.7× 623 0.7× 308 0.6× 443 0.9× 233 5.4k
Ahmed A. Ewees Egypt 48 4.5k 1.5× 1.5k 1.0× 1.3k 1.5× 701 1.3× 641 1.4× 152 8.6k
Zhang Yon China 46 3.9k 1.3× 1.6k 1.0× 1.9k 2.1× 848 1.6× 503 1.1× 352 7.5k
Wing W. Y. Ng China 39 2.7k 0.9× 1.4k 1.0× 1.1k 1.3× 476 0.9× 473 1.0× 411 6.2k
Millie Pant India 37 2.1k 0.7× 1.3k 0.9× 1.1k 1.2× 841 1.6× 266 0.6× 250 5.7k
Vasile Palade United Kingdom 34 2.8k 0.9× 1.1k 0.7× 374 0.4× 680 1.3× 279 0.6× 225 5.8k
Óscar Cordón Spain 44 4.9k 1.6× 1.1k 0.7× 1.0k 1.2× 748 1.4× 269 0.6× 233 7.8k
Julián Luengo Spain 31 6.3k 2.1× 1.4k 0.9× 964 1.1× 365 0.7× 429 0.9× 80 8.7k

Countries citing papers authored by Yu Xue

Since Specialization
Citations

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

Fields of papers citing papers by Yu Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Xue. A scholar is included among the top collaborators of Yu Xue 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 Yu Xue. Yu Xue 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.
Xue, Yu, et al.. (2025). Surrogate-assisted evolutionary neural architecture search based on smart-block discovery. Expert Systems with Applications. 277. 127237–127237. 1 indexed citations
3.
Xue, Yu, et al.. (2025). Score Predictor-Assisted Evolutionary Neural Architecture Search. IEEE Transactions on Emerging Topics in Computational Intelligence. 1–15. 6 indexed citations
4.
Yasmin, Farhana, Yu Xue, Moncef Gabbouj, et al.. (2025). Evo-GrayNet: Colon Polyp Detection and Segmentation Using Evolutionary Network Architecture Search. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 1 indexed citations
5.
Xue, Yu, et al.. (2024). SaDENAS: A self-adaptive differential evolution algorithm for neural architecture search. Swarm and Evolutionary Computation. 91. 101736–101736. 16 indexed citations
6.
Yon, Zhang, et al.. (2024). A two-stage frequency-domain generation algorithm based on differential evolution for black-box adversarial samples. Expert Systems with Applications. 249. 123741–123741. 3 indexed citations
7.
Xue, Yu, et al.. (2024). A novel importance-guided particle swarm optimization based on MLP for solving large-scale feature selection problems. Swarm and Evolutionary Computation. 91. 101760–101760. 18 indexed citations
8.
Xue, Yu, et al.. (2024). Neural architecture search via similarity adaptive guidance. Applied Soft Computing. 162. 111821–111821. 2 indexed citations
9.
Zhang, Y.X., Yu Xue, & Ferrante Neri. (2024). Multi-Optimiser Training for GANs Based on Evolutionary Computation. 27. 1–8.
10.
Neri, Ferrante, et al.. (2024). A Generalized Attention Mechanism to Enhance the Accuracy Performance of Neural Networks. International Journal of Neural Systems. 34(12). 2450063–2450063. 5 indexed citations
11.
Xue, Yu, et al.. (2024). A Gradient-Guided Evolutionary Neural Architecture Search. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4345–4357. 22 indexed citations
12.
Xue, Yu, Danilo Pelusi, Peng Chen, et al.. (2024). Neural Architecture Search with Progressive Evaluation and Subpopulation Preservation. IEEE Transactions on Evolutionary Computation. 29(5). 1678–1691. 9 indexed citations
13.
Xue, Yu, et al.. (2023). Sle-CNN: a novel convolutional neural network for sleep stage classification. Neural Computing and Applications. 35(23). 17201–17216. 7 indexed citations
14.
Paoletti, Mercedes E., et al.. (2023). AAtt-CNN: Automatic Attention-Based Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–18. 42 indexed citations
15.
Chen, Zhang, et al.. (2021). Extraction of local and global features by a convolutional neural network–long short-term memory network for diagnosing bearing faults. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 236(3). 1877–1887. 11 indexed citations
16.
Xue, Yu, et al.. (2018). A Self-adaptive Artificial Bee Colony Algorithm with Symmetry Initialization. 網際網路技術學刊. 19(5). 1347–1362. 5 indexed citations
17.
Li, Kangshun, et al.. (2017). The Research of Disease Spots Extraction Based on Evolutionary Algorithm. SHILAP Revista de lepidopterología. 2017. 1–14. 9 indexed citations
18.
Xue, Yu. (2010). Multiple colony ant algorithm based on particle swarm optimization. Ha'erbin gongye daxue xuebao.
19.
Xue, Yu. (2009). A Modified Kernel-based Fuzzy C-Means Algorithm For Images Segmentation. Chinese Medical Equipment Journal. 1 indexed citations
20.
Xue, Yu, et al.. (2005). Fuzzy regression method for prediction and control the bead width in the robotic arc-welding process. Journal of Materials Processing Technology. 164-165. 1134–1139. 36 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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