Jianyu Miao

1.3k total citations · 1 hit paper
41 papers, 841 citations indexed

About

Jianyu Miao is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Jianyu Miao has authored 41 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 16 papers in Computational Mechanics and 15 papers in Artificial Intelligence. Recurrent topics in Jianyu Miao's work include Sparse and Compressive Sensing Techniques (15 papers), Face and Expression Recognition (15 papers) and Machine Learning and ELM (6 papers). Jianyu Miao is often cited by papers focused on Sparse and Compressive Sensing Techniques (15 papers), Face and Expression Recognition (15 papers) and Machine Learning and ELM (6 papers). Jianyu Miao collaborates with scholars based in China, United States and Iran. Jianyu Miao's co-authors include Lingfeng Niu, Yong Shi, Rongrong Ma, Tiejun Yang, Xuan Fei, Lijun Sun, Yue Gao, Aline M. Thomas, Shen Li and Jianwen Lin and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Jianyu Miao

38 papers receiving 811 citations

Hit Papers

A Survey on Feature Selection 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianyu Miao China 12 391 269 72 69 47 41 841
Qi Sun China 22 283 0.7× 280 1.0× 42 0.6× 41 0.6× 55 1.2× 131 1.3k
Yang Feng China 21 680 1.7× 469 1.7× 15 0.2× 109 1.6× 29 0.6× 131 1.6k
Jiao Shi China 18 416 1.1× 558 2.1× 23 0.3× 31 0.4× 23 0.5× 75 1.6k
Chunyan Yu China 25 259 0.7× 449 1.7× 69 1.0× 66 1.0× 53 1.1× 103 1.6k
Yuwen Li China 18 503 1.3× 241 0.9× 18 0.3× 62 0.9× 48 1.0× 53 1.1k
Yang You China 21 580 1.5× 512 1.9× 34 0.5× 31 0.4× 80 1.7× 108 1.3k
Abdullah Khan Pakistan 18 298 0.8× 171 0.6× 10 0.1× 19 0.3× 57 1.2× 82 962
Yuting Zhang China 18 273 0.7× 649 2.4× 25 0.3× 57 0.8× 43 0.9× 72 1.2k
Zhengyang Wang United States 15 449 1.1× 316 1.2× 16 0.2× 80 1.2× 39 0.8× 52 946

Countries citing papers authored by Jianyu Miao

Since Specialization
Citations

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

Fields of papers citing papers by Jianyu Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianyu Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Jianyu Miao. A scholar is included among the top collaborators of Jianyu Miao 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 Jianyu Miao. Jianyu Miao 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.
Miao, Jianyu, et al.. (2025). Robust sparse orthogonal basis clustering for unsupervised feature selection. Expert Systems with Applications. 274. 126890–126890. 1 indexed citations
2.
Zhang, Wenjie, et al.. (2025). U‐shaped network combining dual‐stream fusion mamba and redesigned multilayer perceptron for myocardial pathology segmentation. Medical Physics. 52(6). 4567–4584. 1 indexed citations
3.
Miao, Jianyu, Xinyuan Zhang, Chao Fan, et al.. (2025). Multi-graph fusion guided robust adaptive learning for subspace clustering. Expert Systems with Applications. 298. 129918–129918.
4.
Miao, Jianyu, et al.. (2025). Optical system initial structure generation method based on random assignment of optical power. Optics and Lasers in Engineering. 196. 109458–109458.
6.
Yan, Yanghui, et al.. (2024). IWNeXt: an image-wavelet domain ConvNeXt-based network for self-supervised multi-contrast MRI reconstruction. Physics in Medicine and Biology. 69(8). 85005–85005. 8 indexed citations
7.
Miao, Jianyu, Tiejun Yang, Chao Fan, et al.. (2024). Explicit unsupervised feature selection based on structured graph and locally linear embedding. Expert Systems with Applications. 255. 124568–124568. 6 indexed citations
8.
Yang, Tiejun, et al.. (2024). A Self-Supervised Equivariant Refinement Classification Network for Diabetic Retinopathy Classification. Journal of Imaging Informatics in Medicine. 38(3). 1796–1811. 2 indexed citations
9.
Yan, Yanghui, et al.. (2023). DC-SiamNet: Deep contrastive Siamese network for self-supervised MRI reconstruction. Computers in Biology and Medicine. 167. 107619–107619. 17 indexed citations
10.
Liu, Yashu, et al.. (2023). Sparse regularization based feature selection: A survey. Procedia Computer Science. 221. 1386–1393. 2 indexed citations
11.
Gao, Yue, Di Li, Jianwen Lin, et al.. (2022). Cerebral small vessel disease: Pathological mechanisms and potential therapeutic targets. Frontiers in Aging Neuroscience. 14. 961661–961661. 61 indexed citations
12.
Jin, Junwei, Yanting Li, Lijun Sun, Jianyu Miao, & C. L. Philip Chen. (2020). A New Local Knowledge-Based Collaborative Representation for Image Recognition. IEEE Access. 8. 81069–81079. 8 indexed citations
13.
Ma, Rongrong, et al.. (2019). Transformed1regularization for learning sparse deep neural networks. Neural Networks. 119. 286–298. 74 indexed citations
14.
Shi, Yong, Jianyu Miao, & Lingfeng Niu. (2018). Feature selection with MCP $$^2$$ 2 regularization. Neural Computing and Applications. 31(10). 6699–6709. 5 indexed citations
15.
Shi, Yong, et al.. (2018). Feature Selection With <inline-formula> <tex-math notation="LaTeX">$\ell_{2,1-2}$ </tex-math> </inline-formula> Regularization. IEEE Transactions on Neural Networks and Learning Systems. 29(10). 4967–4982. 60 indexed citations
16.
Wang, Zhongsu, et al.. (2015). Analysis and verification of structure stability and thermal stability of a bracket of star sensors. 44(11). 3463–3468. 4 indexed citations
17.
Miao, Jianyu. (2011). Controls of Provenance and Depositional Facies on Sandbody Distributions of the Upper Paleozoic in Southeast Ordos Basin. Chenji xuebao. 4 indexed citations
18.
Yang, Xiaoyong, Ming‐Xing Ling, Weidong Sun, et al.. (2009). The genesis of sandstone‐type uranium deposits in the Ordos Basin, NW China: constraints provided by fluid inclusions and stable isotopes. International Geology Review. 51(5). 422–455. 44 indexed citations
19.
Ling, Ming‐Xing, Xiaoyong Yang, Wei Sun, Jianyu Miao, & Chiyang Liu. (2007). REE/trace element characteristics of sandstone-type uranium deposits in the Ordos Basin. Geochemistry. 26(2). 214–214. 3 indexed citations
20.
Miao, Jianyu. (2004). The Relationship between the Geochemical Characteristics and Sedimentary Environments of the Middle Permian Hydrocarbon Source Rocks in Northern Xinjiang, China. Acta Geological Sinica. 3 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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