Jun Miao

2.2k total citations
98 papers, 1.5k citations indexed

About

Jun Miao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Jun Miao has authored 98 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 17 papers in Cognitive Neuroscience. Recurrent topics in Jun Miao's work include Visual Attention and Saliency Detection (16 papers), Neural Networks and Applications (13 papers) and Machine Learning and ELM (12 papers). Jun Miao is often cited by papers focused on Visual Attention and Saliency Detection (16 papers), Neural Networks and Applications (13 papers) and Machine Learning and ELM (12 papers). Jun Miao collaborates with scholars based in China, United States and Hong Kong. Jun Miao's co-authors include Laiyun Qing, Lijuan Duan, Yuanhua Qiao, Wentao Zhu, Chunpeng Wu, Yu Fu, Jiangong Zhang, David L. Wilson, Honggang Qi and Steven G. Ross and has published in prestigious journals such as The Science of The Total Environment, Bioresource Technology and Spine.

In The Last Decade

Jun Miao

90 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Miao China 21 527 482 299 258 199 98 1.5k
Lili Guo China 24 300 0.6× 574 1.2× 167 0.6× 91 0.4× 64 0.3× 158 1.9k
M. Ani Hsieh United States 25 417 0.8× 383 0.8× 786 2.6× 157 0.6× 202 1.0× 130 2.0k
Gang Yang China 19 1.1k 2.2× 593 1.2× 76 0.3× 127 0.5× 159 0.8× 79 2.2k
Chao Zhang China 21 769 1.5× 356 0.7× 56 0.2× 102 0.4× 52 0.3× 179 1.7k
Donglai Wei United States 18 619 1.2× 468 1.0× 56 0.2× 189 0.7× 143 0.7× 66 1.5k
Tao Zhou China 25 1.3k 2.5× 1.1k 2.2× 72 0.2× 191 0.7× 1.1k 5.3× 97 3.0k
Zhenyu He China 30 2.5k 4.7× 588 1.2× 134 0.4× 322 1.2× 108 0.5× 101 3.3k
Suchendra M. Bhandarkar United States 24 1.0k 2.0× 273 0.6× 286 1.0× 105 0.4× 175 0.9× 137 2.3k
Minglei Shu China 22 241 0.5× 284 0.6× 191 0.6× 299 1.2× 48 0.2× 113 1.4k
Jing Pan China 20 914 1.7× 360 0.7× 112 0.4× 114 0.4× 147 0.7× 93 1.7k

Countries citing papers authored by Jun Miao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Miao. A scholar is included among the top collaborators of Jun 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 Jun Miao. Jun 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.
Qiao, Yuanhua, et al.. (2024). Robust estimation of channel similarity networks from epilepsy EEG data. Biomedical Signal Processing and Control. 96. 106592–106592.
2.
Miao, Jun, et al.. (2024). Normal Template Mapping: An Association-Inspired Handwritten Character Recognition Model. Cognitive Computation. 16(3). 1103–1112.
3.
Qiao, Yuanhua, et al.. (2023). Fixed-time synchronization of delayed BAM neural networks via new fixed-time stability results and non-chattering quantized controls. Journal of the Franklin Institute. 360(13). 10251–10274. 6 indexed citations
4.
Li, Xiaoyan, Yuanhua Qiao, Lijuan Duan, & Jun Miao. (2023). EEG classification based on Grassmann manifold and matrix recovery. Biomedical Signal Processing and Control. 87. 105491–105491. 2 indexed citations
5.
Miao, Jun, et al.. (2023). Transformer-Based Recognition Model for Ground-Glass Nodules from the View of Global 3D Asymmetry Feature Representation. Symmetry. 15(12). 2192–2192. 1 indexed citations
6.
Qiao, Yuanhua, et al.. (2023). Fixed-Time Synchronization of Impulsive Octonion-Valued Fuzzy Inertial Neural Networks via Improving Fixed-Time Stability. IEEE Transactions on Fuzzy Systems. 32(4). 1978–1990. 14 indexed citations
7.
Duan, Lijuan, et al.. (2023). A Novel Feature Fusion Approach for Classification of Motor Imagery EEG Based on Hierarchical Extreme Learning Machine. Cognitive Computation. 16(2). 566–580. 2 indexed citations
8.
Zhang, Yan, Yuanhua Qiao, Lijuan Duan, & Jun Miao. (2023). Multistability of almost periodic solution for Clifford-valued Cohen–Grossberg neural networks with mixed time delays. Chaos Solitons & Fractals. 176. 114100–114100. 7 indexed citations
9.
Duan, Lijuan, et al.. (2021). The Improved ELM Algorithms Optimized by Bionic WOA for EEG Classification of Brain Computer Interface. IEEE Access. 9. 67405–67416. 15 indexed citations
10.
Duan, Lijuan, et al.. (2021). A deep multimodal feature learning network for RGB-D salient object detection. Computers & Electrical Engineering. 92. 107006–107006. 4 indexed citations
11.
Qiao, Yuanhua, et al.. (2021). Novel methods to global Mittag-Leffler stability of delayed fractional-order quaternion-valued neural networks. Neural Networks. 142. 500–508. 25 indexed citations
12.
Duan, Lijuan, et al.. (2015). EEG feature selection method based on decision tree. Bio-Medical Materials and Engineering. 26(1_suppl). S1019–25. 18 indexed citations
13.
Eck, Brendan, et al.. (2015). Computational and human observer image quality evaluation of low dose, knowledge‐based CT iterative reconstruction. Medical Physics. 42(10). 6098–6111. 37 indexed citations
14.
Ahn, Sangtae, Steven G. Ross, Evren Asma, et al.. (2015). Quantitative comparison of OSEM and penalized likelihood image reconstruction using relative difference penalties for clinical PET. Physics in Medicine and Biology. 60(15). 5733–5751. 96 indexed citations
15.
Duan, Lijuan, et al.. (2013). Research on Heuristic Feature Extraction and Classification of EEG Signal Based on BCI Data Set. Research Journal of Applied Sciences Engineering and Technology. 5(3). 1008–1014. 5 indexed citations
16.
Miao, Jun, et al.. (2012). A simple application of compressed sensing to further accelerate partially parallel imaging. Magnetic Resonance Imaging. 31(1). 75–85. 13 indexed citations
17.
Miao, Jun, et al.. (2011). Modeling non‐stationarity of kernel weights for k‐space reconstruction in partially parallel imaging. Medical Physics. 38(8). 4760–4773. 8 indexed citations
18.
Miao, Jun, et al.. (2011). K‐space reconstruction with anisotropic kernel support (KARAOKE) for ultrafast partially parallel imaging. Medical Physics. 38(11). 6138–6142. 2 indexed citations
19.
Miao, Jun. (2001). Illumination Compensation Based on Multi-method Integration in Face Detection. Acta Simulata Systematica Sinica. 2 indexed citations
20.
Miao, Jun. (2000). A Study on the Paleowater Media In Tertiary Period in Chaidamu Basin. 1 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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