Zhuofu Pan

608 total citations · 1 hit paper
12 papers, 464 citations indexed

About

Zhuofu Pan is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Zhuofu Pan has authored 12 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 4 papers in Mechanical Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Zhuofu Pan's work include Fault Detection and Control Systems (10 papers), Mineral Processing and Grinding (4 papers) and Machine Fault Diagnosis Techniques (3 papers). Zhuofu Pan is often cited by papers focused on Fault Detection and Control Systems (10 papers), Mineral Processing and Grinding (4 papers) and Machine Fault Diagnosis Techniques (3 papers). Zhuofu Pan collaborates with scholars based in China, Canada and India. Zhuofu Pan's co-authors include Yalin Wang, Weihua Gui, Xiaofeng Yuan, Chunhua Yang, Kai Wang, Hongtian Chen, Chunhua Yang, Yue Cao, Weihua Gui and Nabil Magbool Jan and has published in prestigious journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Zhuofu Pan

11 papers receiving 451 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network

2019 330 citations Yalin Wang, Zhuofu Pan et al. ISA Transactions profile →

Peers

Countries citing papers authored by Zhuofu Pan

Since Specialization

Citations

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

Fields of papers citing papers by Zhuofu Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuofu Pan

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-Based Input–Output Decoupled Networks 2025 ·IEEE Transactions on Instrumentation and Measurement ·Zhuofu Pan, (unknown), Yalin Wang, (unknown), (unknown), Hongtian Chen	0
2	A new generative adversarial networks-based fault diagnosis framework: Learning a mapping to estimate fault 2024 ·Neurocomputing ·Ling Li, Zhuofu Pan, Yanyuan Ma, Zhiwen Chen, Jie Chen, Yalin Wang	3
3	VAE-Based Interpretable Latent Variable Model for Process Monitoring 2023 ·IEEE Transactions on Neural Networks and Learning Systems ·Zhuofu Pan, Yalin Wang, Yue Cao, Weihua Gui	25
4	Fault Diagnosis Based on Multiscale Multivariate Dispersive Entropy and Bayesian-optimized LSTM Networks for Motor Bearing 2023 ·Ling Li, (unknown), Jiaxin Li, (unknown), (unknown), Zhuofu Pan	1
5	No-Delay Multimodal Process Monitoring Using Kullback-Leibler Divergence-Based Statistics in Probabilistic Mixture Models 2022 ·IEEE Transactions on Automation Science and Engineering ·Yue Cao, Nabil Magbool Jan, Biao Huang, Yalin Wang, Zhuofu Pan, Weihua Gui	9
6	A Segmental Autoencoder-based Fault Detection for Nonlinear Dynamic Systems: An Interpretable Learning Framework 2022 ·Hongtian Chen, Zhuofu Pan, Oguzhan Dogru, Yalin Wang, Biao Huang	1
7	Containment problem for multi‐agent systems with position and velocity constraints 2022 ·International Journal of Robust and Nonlinear Control ·(unknown), Yalin Wang, Zhuofu Pan, Hailiang Hou, Weihua Gui	3
8	Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder 2022 ·IEEE Transactions on Cybernetics ·Zhuofu Pan, Yalin Wang, Kai Wang, Hongtian Chen, Chunhua Yang, Weihua Gui	59
9	Layer‐wise contribution‐filtered propagation for deep learning‐based fault isolation 2022 ·International Journal of Robust and Nonlinear Control ·Zhuofu Pan, Yalin Wang, Kai Wang, Guangtao Ran, Hongtian Chen, Weihua Gui	4
10	A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes 2021 ·Knowledge-Based Systems ·Zhuofu Pan, Yalin Wang, Xiaofeng Yuan, Chunhua Yang, Weihua Gui	25
11	A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network breakdown → 2019 ·ISA Transactions ·Yalin Wang, Zhuofu Pan, Xiaofeng Yuan, Chunhua Yang, Weihua Gui	330
12	Slope Stability Analysis Based on Morgenstern-Price Method and Improved Radial Movement Optimization Algorithm 2018 ·Zhongguo gonglu xuebao ·(unknown), (unknown), Zhuofu Pan	4

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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