Aimin Miao

677 total citations
29 papers, 467 citations indexed

About

Aimin Miao is a scholar working on Control and Systems Engineering, Analytical Chemistry and Mechanical Engineering. According to data from OpenAlex, Aimin Miao has authored 29 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 12 papers in Analytical Chemistry and 10 papers in Mechanical Engineering. Recurrent topics in Aimin Miao's work include Fault Detection and Control Systems (14 papers), Spectroscopy and Chemometric Analyses (12 papers) and Mineral Processing and Grinding (8 papers). Aimin Miao is often cited by papers focused on Fault Detection and Control Systems (14 papers), Spectroscopy and Chemometric Analyses (12 papers) and Mineral Processing and Grinding (8 papers). Aimin Miao collaborates with scholars based in China, United States and India. Aimin Miao's co-authors include Zhiqiang Ge, Zhihuan Song, Peng Li, Le Zhou, Jiajun Zhuang, Yu Tang, Yong He, Shaoming Luo, Chaojun Hou and Lingjian Ye and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Industrial & Engineering Chemistry Research.

In The Last Decade

Aimin Miao

28 papers receiving 456 citations

Peers

Aimin Miao
Hongchao Cheng China
Abel Folch‐Fortuny Spain
Honglu Yu Canada
Víctor Martínez-Martínez Spain
Yue Cao China
Mahanijah Md Kamal Malaysia
José Delpiano Chile
Jacinto L. Marchetti Argentina
Hongchao Cheng China
Aimin Miao
Citations per year, relative to Aimin Miao Aimin Miao (= 1×) peers Hongchao Cheng

Countries citing papers authored by Aimin Miao

Since Specialization
Citations

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

Fields of papers citing papers by Aimin Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aimin Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Aimin Miao. A scholar is included among the top collaborators of Aimin 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 Aimin Miao. Aimin 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.
Zhang, Bo, et al.. (2024). Sneak circuit analysis based performance optimization for ZVT PWM boost converters. Journal of Power Electronics. 24(10). 1573–1583.
2.
Tang, Yu, Jiajun Zhuang, Chaojun Hou, et al.. (2023). Early detection of citrus anthracnose caused by Colletotrichum gloeosporioides using hyperspectral imaging. Computers and Electronics in Agriculture. 214. 108348–108348. 13 indexed citations
3.
Zhou, Qi, Shengyu Li, Umair Ashraf, et al.. (2022). Transcriptome Analysis Revealed the Mechanisms Involved in Ultrasonic Seed Treatment-Induced Aluminum Tolerance in Peanut. Frontiers in Plant Science. 12. 807021–807021. 8 indexed citations
4.
Zhang, Xiaodi, et al.. (2022). Prediction of Maize Seed Vigor Based on First-Order Difference Characteristics of Hyperspectral Data. Agronomy. 12(8). 1899–1899. 9 indexed citations
5.
Li, Peng, et al.. (2022). A Novel Ellipsoidal Semisupervised Extreme Learning Machine Algorithm and Its Application in Wind Turbine Blade Icing Fault Detection. IEEE Transactions on Instrumentation and Measurement. 71. 1–16. 13 indexed citations
6.
Li, Peng, et al.. (2022). Local-global cooperative least squares support vector machine and prediction of remaining useful life of rolling bearing. Measurement and Control. 56(1-2). 358–370. 3 indexed citations
7.
Miao, Aimin, et al.. (2021). Locality‐preserving data modelling and its application in fault classification. The Canadian Journal of Chemical Engineering. 100(3). 491–502. 1 indexed citations
8.
Hou, Chaojun, Jiajun Zhuang, Yu Tang, et al.. (2021). Recognition of early blight and late blight diseases on potato leaves based on graph cut segmentation. Journal of Agriculture and Food Research. 5. 100154–100154. 57 indexed citations
9.
Tang, Yu, Aimin Miao, Jiajun Zhuang, et al.. (2020). Evaluation of Cultivar Identification Performance Using Feature Expressions and Classification Algorithms on Optical Images of Sweet Corn Seeds. Agronomy. 10(9). 1268–1268. 8 indexed citations
10.
Miao, Aimin, et al.. (2019). An improved Fisher discriminant analysis algorithm based on Procrustes analysis for adaptive fault recognition. SHILAP Revista de lepidopterología. 52(7-8). 1063–1071. 2 indexed citations
11.
Li, Peng, et al.. (2019). Cable joint fault detection for the ring main unit based on an adaptive TNPE algorithm. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 10(1). 6 indexed citations
12.
Zhuang, Jiajun, Chaojun Hou, Yu Tang, et al.. (2019). Assessment of External Properties for Identifying Banana Fruit Maturity Stages Using Optical Imaging Techniques. Sensors. 19(13). 2910–2910. 24 indexed citations
13.
Li, Jingjie, Peng Li, Aimin Miao, et al.. (2018). Online prediction method of icing of overhead power lines based on support vector regression. International Transactions on Electrical Energy Systems. 28(3). e2500–e2500. 4 indexed citations
14.
Ye, Lingjian, Aimin Miao, & Hongwei Zhang. (2017). Real-Time Optimization of Gold Cyanidation Leaching Process in a Two-Layer Control Architecture Integrating Self-Optimizing Control and Modifier Adaptation. Industrial & Engineering Chemistry Research. 56(14). 4002–4016. 14 indexed citations
15.
Li, Haiyan, et al.. (2017). Rayleigh-maximum-likelihood bilateral filter for ultrasound image enhancement. BioMedical Engineering OnLine. 16(1). 46–46. 13 indexed citations
16.
Miao, Aimin, Peng Li, & Lingjian Ye. (2016). Locality preserving based data regression and its application for soft sensor modelling. The Canadian Journal of Chemical Engineering. 94(10). 1977–1986. 7 indexed citations
17.
Miao, Aimin, Zhiqiang Ge, Zhihuan Song, & Feifan Shen. (2015). Nonlocal structure constrained neighborhood preserving embedding model and its application for fault detection. Chemometrics and Intelligent Laboratory Systems. 142. 184–196. 27 indexed citations
18.
Zhou, Le, Zhihuan Song, Zhiqiang Ge, & Aimin Miao. (2013). Dynamic process monitoring based on probabilistic principle component regression. 10. 4763–4767. 3 indexed citations
19.
Miao, Aimin, Zhihuan Song, Qiaojun Wen, & Zhiqiang Ge. (2012). Process monitoring based on generalized orthogonal neighborhood preserving embedding. IFAC Proceedings Volumes. 45(15). 148–153. 9 indexed citations
20.
Miao, Aimin. (2009). Design of Embedded Multi-bit Autocorrelator Based on FPGA. Modern Electronics Technique. 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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