Xiaoling Yang

957 total citations
35 papers, 695 citations indexed

About

Xiaoling Yang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaoling Yang has authored 35 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaoling Yang's work include Rough Sets and Fuzzy Logic (13 papers), Data Mining Algorithms and Applications (10 papers) and Text and Document Classification Technologies (5 papers). Xiaoling Yang is often cited by papers focused on Rough Sets and Fuzzy Logic (13 papers), Data Mining Algorithms and Applications (10 papers) and Text and Document Classification Technologies (5 papers). Xiaoling Yang collaborates with scholars based in China, Canada and United States. Xiaoling Yang's co-authors include Tianrui Li, Hongmei Chen, Zhong Yuan, Jihong Wan, Chuan Luo, Binbin Sang, Hongmei Chen, Pengfei Zhang, Keyu Liu and Chuanwei Li and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Journal on Selected Areas in Communications and Pattern Recognition.

In The Last Decade

Xiaoling Yang

31 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoling Yang China 14 360 339 198 181 60 35 695
G. Jothi India 11 332 0.9× 174 0.5× 104 0.5× 211 1.2× 85 1.4× 20 629
Hengrong Ju China 14 351 1.0× 405 1.2× 220 1.1× 179 1.0× 48 0.8× 53 648
Md. Shahjahan Bangladesh 10 369 1.0× 69 0.2× 40 0.2× 174 1.0× 18 0.3× 57 622
Martín Carpio Mexico 11 176 0.5× 81 0.2× 32 0.2× 211 1.2× 12 0.2× 43 546
Bernhard Moser Austria 13 353 1.0× 172 0.5× 58 0.3× 119 0.7× 6 0.1× 58 672
Li Shang China 14 149 0.4× 40 0.1× 55 0.3× 337 1.9× 9 0.1× 54 1.0k
Xiangde Zhang China 15 214 0.6× 116 0.3× 60 0.3× 518 2.9× 20 0.3× 60 824
Thaer Thaher Palestinian Territory 14 359 1.0× 74 0.2× 165 0.8× 62 0.3× 21 0.3× 26 637
Jinjie Huang China 11 307 0.9× 62 0.2× 46 0.2× 138 0.8× 47 0.8× 43 565

Countries citing papers authored by Xiaoling Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling Yang. A scholar is included among the top collaborators of Xiaoling Yang 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 Xiaoling Yang. Xiaoling Yang 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.
Yang, Xiaoling, Hongmei Chen, Tianrui Li, et al.. (2025). Adaptive feature selection with weighted fuzzy rough sets for noisy data. Fuzzy Sets and Systems. 518. 109499–109499. 3 indexed citations
2.
Yang, Xiaoling, et al.. (2024). Study on the Deployment of Ultra-Wideband Positioning Base Stations in Pig Farms. Applied Sciences. 14(2). 501–501. 1 indexed citations
3.
Yang, Xiaoling. (2024). SVNN-ExpTODIM Technique for Maturity Evaluation of Digital Transformation in Retail Enterprises Under Single-Valued Neutrosophic Sets. International Journal of Advanced Computer Science and Applications. 15(6). 1 indexed citations
4.
Yang, Xiaoling, Hongmei Chen, Tianrui Li, & Yiyu Yao. (2023). Geodesic Fuzzy Rough Sets for Discriminant Feature Extraction. IEEE Transactions on Fuzzy Systems. 32(3). 778–791. 4 indexed citations
5.
Chen, Hongmei, et al.. (2023). Fuzzy rough dimensionality reduction: A feature set partition-based approach. Information Sciences. 644. 119266–119266. 10 indexed citations
7.
Yang, Xiaoling, et al.. (2022). A Residual CNN-Based Denoiser for Reliable Recovery of Bit Stream With Applications to Soft Channel Decoding. IEEE Transactions on Cognitive Communications and Networking. 8(4). 1677–1688.
8.
Yang, Xiaoling, Hongmei Chen, Tianrui Li, & Chuan Luo. (2022). A noise-aware fuzzy rough set approach for feature selection. Knowledge-Based Systems. 250. 109092–109092. 38 indexed citations
9.
Chen, Hongmei, et al.. (2022). Exploiting fuzzy rough mutual information for feature selection. Applied Soft Computing. 131. 109769–109769. 23 indexed citations
10.
Yang, Xiaoling, Hongmei Chen, Hao Wang, et al.. (2022). Feature Selection With Local Density-Based Fuzzy Rough Set Model for Noisy Data. IEEE Transactions on Fuzzy Systems. 31(5). 1614–1627. 22 indexed citations
11.
Zhang, Pengfei, Tianrui Li, Zhong Yuan, et al.. (2022). Heterogeneous Feature Selection Based on Neighborhood Combination Entropy. IEEE Transactions on Neural Networks and Learning Systems. 35(3). 3514–3527. 82 indexed citations
13.
Zhang, Lin, Xiaoling Yang, Heng Liu, Haotian Zhang, & Julian Cheng. (2021). Efficient Residual Shrinkage CNN Denoiser Design for Intelligent Signal Processing: Modulation Recognition, Detection, and Decoding. IEEE Journal on Selected Areas in Communications. 40(1). 97–111. 11 indexed citations
14.
Yang, Xiaoling, Hongmei Chen, Tianrui Li, Jihong Wan, & Binbin Sang. (2021). Neighborhood rough sets with distance metric learning for feature selection. Knowledge-Based Systems. 224. 107076–107076. 59 indexed citations
15.
Yang, Xiaoling, Lin Zhang, & Zhiqiang Wu. (2021). A Unified Convolutional Neural Network Classifier Aided Intelligent Channel Decoder for Coexistent Heterogeneous Networks. IEEE Systems Journal. 15(4). 5630–5633. 6 indexed citations
16.
Zhang, Lin, Heng Liu, Xiaoling Yang, Yuan Jiang, & Zhiqiang Wu. (2021). Intelligent Denoising-Aided Deep Learning Modulation Recognition With Cyclic Spectrum Features for Higher Accuracy. IEEE Transactions on Aerospace and Electronic Systems. 57(6). 3749–3757. 35 indexed citations
17.
Wan, Jihong, Hongmei Chen, Zhong Yuan, et al.. (2021). A novel hybrid feature selection method considering feature interaction in neighborhood rough set. Knowledge-Based Systems. 227. 107167–107167. 74 indexed citations
18.
Yang, Xiaoling, et al.. (2016). [Study on Identification of Immature Corn Seed Using Hyperspectral Imaging].. PubMed. 36(12). 4028–33. 3 indexed citations
19.
Wang, Xiuyu, Minghao Zhang, Meiling Yang, et al.. (2013). [Effect of oxymatrine on JAK2/STAT3 signaling in renal tissues of rats with septic shock].. PubMed. 38(16). 2696–700. 3 indexed citations
20.
Wang, Lifang, Meixiang Jia, Weihua Yue, et al.. (2007). Association of the ENGRAILED 2 (EN2) gene with autism in Chinese Han population. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 147B(4). 434–438. 54 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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