Yang Tao

1.4k total citations
85 papers, 1.0k citations indexed

About

Yang Tao is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Yang Tao has authored 85 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Control and Systems Engineering, 37 papers in Mechanical Engineering and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Yang Tao's work include Fault Detection and Control Systems (49 papers), Mineral Processing and Grinding (36 papers) and Machine Fault Diagnosis Techniques (11 papers). Yang Tao is often cited by papers focused on Fault Detection and Control Systems (49 papers), Mineral Processing and Grinding (36 papers) and Machine Fault Diagnosis Techniques (11 papers). Yang Tao collaborates with scholars based in China, United States and Canada. Yang Tao's co-authors include Bing Song, Hongbo Shi, Shuai Tan, Yuqian Lu, Liang Guo, Gui Fu, Xinggui Zhou, Tian Li, Hongbo Shi and Weiting Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Optics Letters.

In The Last Decade

Yang Tao

80 papers receiving 997 citations

Peers

Yang Tao

CSE

IME

Shuai Tan China

Xiangping Zhu China

Jinglin Zhou China

Orestes Llanes‐Santiago Cuba

S. Gentil France

Bo Lu United States

Sachin C. Patwardhan India

Zhihuan Song China

Kai Wang China

Ratko Grbić Croatia

Shuai Tan China

Yang Tao

1.1k ×1.8

CSE

748 ×1.9

276 ×1.5

74 ×0.5

IME

259 ×1.8

Citations per year, relative to Yang Tao Yang Tao (= 1×) peers Shuai Tan

Countries citing papers authored by Yang Tao

Since Specialization

Citations

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

Fields of papers citing papers by Yang Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Tao. A scholar is included among the top collaborators of Yang Tao 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 Yang Tao. Yang Tao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Kun, et al.. (2025). Online weighted dynamic time-difference neighborhood preserving embedding for dynamic process monitoring. Journal of the Taiwan Institute of Chemical Engineers. 172. 106035–106035. 1 indexed citations

Shi, Hongbo, et al.. (2025). Fault-Influenced Variable Selection and Distributional Offset Evaluation of CVDs Graph Convolutional Neural Network for Nonlinear KPI-Related Process Monitoring. IEEE Transactions on Instrumentation and Measurement. 74. 1–13.

Ding, Z., Hongbo Shi, Bing Song, & Yang Tao. (2025). A Novel Adaptive Mechanism-Data Fusion Graph Embedding Network for Fault Diagnosis. IEEE Transactions on Industrial Informatics. 21(8). 6061–6070.

Guo, Shuo, et al.. (2025). Spatial Invertible Network With Mamba-Convolution for Hyperspectral Image Fusion. IEEE Journal of Selected Topics in Signal Processing. 19(8). 1643–1653. 1 indexed citations

Shi, Hongbo, et al.. (2025). Fault Diagnosis of Unseen Modes in Chemical Process via Fusing Invariance and Specificity. IEEE Transactions on Instrumentation and Measurement. 74. 1–11. 1 indexed citations

Guo, Lei, Hongbo Shi, Shuai Tan, Bing Song, & Yang Tao. (2024). A knowledge-driven spatial-temporal graph neural network for quality-related fault detection. Process Safety and Environmental Protection. 184. 1512–1524. 13 indexed citations

Tan, Shuai, Yifan Wang, Hongbo Shi, Bing Song, & Yang Tao. (2023). A topology model based on common and specific feature separation for multimode process monitoring. Journal of Process Control. 130. 103052–103052. 1 indexed citations

Tao, Yang, Hongbo Shi, Bing Song, & Shuai Tan. (2023). A Distributed Adaptive Monitoring Method for Performance Indicator in Large-Scale Dynamic Process. IEEE Transactions on Industrial Informatics. 19(10). 10425–10433. 10 indexed citations

Shi, Hongbo, et al.. (2023). Semi-Supervised Relevance Variable Selection and Hierarchical Feature Regularization Variational Autoencoder for Nonlinear Quality-Related Process Monitoring. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 5 indexed citations

10.

Shi, Hongbo, et al.. (2023). Temporal Attention Source-Free Adaptation for Chemical Processes Fault Diagnosis. IEEE Transactions on Industrial Informatics. 20(3). 4773–4783. 6 indexed citations

11.

Shi, Hongbo, et al.. (2023). Sensor Fault Detection and Diagnosis Using Graph Convolutional Network Combining Process Knowledge and Process Data. IEEE Transactions on Instrumentation and Measurement. 72. 1–10. 12 indexed citations

12.

Shi, Hongbo, et al.. (2022). Fault Diagnosis of Unseen Modes in Chemical Processes Based on Labeling and Class Progressive Adversarial Learning. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 10 indexed citations

13.

Shi, Hongbo, et al.. (2022). Weighted Conditional Discriminant Analysis for Unseen Operating Modes Fault Diagnosis in Chemical Processes. IEEE Transactions on Instrumentation and Measurement. 71. 1–14. 10 indexed citations

14.

Shi, Hongbo, et al.. (2022). Consistency Regularization Auto-Encoder Network for Semi-Supervised Process Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 71. 1–15. 36 indexed citations

15.

Shi, Hongbo, et al.. (2021). Convolutional Neural Network Based Feature Learning for Large-Scale Quality-Related Process Monitoring. IEEE Transactions on Industrial Informatics. 18(7). 4555–4565. 41 indexed citations

16.

Tao, Yang, Hongbo Shi, Bing Song, & Shuai Tan. (2021). Hierarchical Latent Variable Extraction and Multisegment Probability Density Analysis Method for Incipient Fault Detection. IEEE Transactions on Industrial Informatics. 18(4). 2244–2254. 12 indexed citations

17.

Song, Bing, Hongbo Shi, Shuai Tan, & Yang Tao. (2020). Multisubspace Orthogonal Canonical Correlation Analysis for Quality-Related Plant-Wide Process Monitoring. IEEE Transactions on Industrial Informatics. 17(9). 6368–6378. 56 indexed citations

18.

Tao, Yang, Hongbo Shi, Bing Song, & Shuai Tan. (2019). A Novel Dynamic Weight Principal Component Analysis Method and Hierarchical Monitoring Strategy for Process Fault Detection and Diagnosis. IEEE Transactions on Industrial Electronics. 67(9). 7994–8004. 85 indexed citations

19.

Song, Bing, Xinggui Zhou, Hongbo Shi, & Yang Tao. (2018). Performance-Indicator-Oriented Concurrent Subspace Process Monitoring Method. IEEE Transactions on Industrial Electronics. 66(7). 5535–5545. 72 indexed citations

20.

Tao, Yang, Guoan Tang, Chun Wang, & Xin Yang. (2011). Assessment on surface roughness models based on semantics and profile characteristics matching. Geographical Research. 30(6). 1066–1076. 2 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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