Chao Deng

3.8k total citations · 3 hit papers
120 papers, 2.8k citations indexed

About

Chao Deng is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Chao Deng has authored 120 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Control and Systems Engineering, 25 papers in Mechanical Engineering and 21 papers in Mechanics of Materials. Recurrent topics in Chao Deng's work include Machine Fault Diagnosis Techniques (29 papers), Engineering Diagnostics and Reliability (16 papers) and Reliability and Maintenance Optimization (16 papers). Chao Deng is often cited by papers focused on Machine Fault Diagnosis Techniques (29 papers), Engineering Diagnostics and Reliability (16 papers) and Reliability and Maintenance Optimization (16 papers). Chao Deng collaborates with scholars based in China, New Zealand and Macao. Chao Deng's co-authors include Jun Wu, Xinyu Shao, Pengfei Liang, Zhi-Xin Yang, Chaoqun Duan, Yuanhang Wang, Zuoyi Chen, Guoqiang Li, Xuebing Xu and B. Wang and has published in prestigious journals such as Energy & Environmental Science, IEEE Transactions on Industrial Electronics and International Journal of Hydrogen Energy.

In The Last Decade

Chao Deng

111 papers receiving 2.7k 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.

Selective maintenance scheduling under stochastic maintenance quality with multiple maintenance actions

2018 246 citations Chao Deng, Jun Wu et al. profile →
Intelligent fault diagnosis of rotating machinery via wavelet transform, generative adversarial nets and convolutional neural network

2020 185 citations Pengfei Liang, Chao Deng et al. profile →
An improved GNN using dynamic graph embedding mechanism: A novel end-to-end framework for rolling bearing fault diagnosis under variable working conditions

2023 80 citations Changhe Zhang, Chao Deng et al. Mechanical Systems and Signal Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chao Deng China	26	1.5k	974	659	379	371	120	2.8k
Shisheng Zhong China	23	1.4k 1.0×	713 0.7×	431 0.7×	677 1.8×	170 0.5×	115	2.7k
Andy Tan Australia	27	2.4k 1.7×	1.6k 1.7×	968 1.5×	258 0.7×	523 1.4×	119	3.7k
Kamal Medjaher France	32	2.7k 1.9×	1.5k 1.5×	654 1.0×	329 0.9×	916 2.5×	123	4.1k
Olga Fink Switzerland	27	1.5k 1.0×	566 0.6×	266 0.4×	801 2.1×	401 1.1×	105	3.2k
Enrique López Droguett United States	30	1.0k 0.7×	716 0.7×	429 0.7×	433 1.1×	526 1.4×	163	3.3k
Lei Deng China	26	1.2k 0.8×	739 0.8×	394 0.6×	199 0.5×	137 0.4×	103	2.2k
Long Zhang China	27	1.2k 0.8×	903 0.9×	503 0.8×	306 0.8×	97 0.3×	161	2.8k
Daming Lin Canada	14	2.2k 1.5×	1.1k 1.1×	650 1.0×	234 0.6×	1.4k 3.8×	29	3.9k

Countries citing papers authored by Chao Deng

Since Specialization

Citations

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

Fields of papers citing papers by Chao Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Deng. A scholar is included among the top collaborators of Chao Deng 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 Chao Deng. Chao Deng 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

Deng, Chao, Shujun Wang, Pengcheng Li, et al.. (2025). Deep learning-based compressed sampling reconstruction algorithm for digitizing intensive neutron ToF signals. Nuclear Science and Techniques. 36(7).

Zhang, Changhe, et al.. (2024). Exploration of deep learning-driven multimodal information fusion frameworks and their application in lower limb motion recognition. Biomedical Signal Processing and Control. 96. 106551–106551. 4 indexed citations

Wang, Qibiao, et al.. (2024). Compressed Sampling for Neutron ToF Signals Based on SAMP Algorithm. IEEE Sensors Journal. 24(6). 8517–8525. 1 indexed citations

Zhang, Chundong, Xixi Chen, Chao Deng, et al.. (2023). Direct hydrogenation of CO2 into valuable aromatics over K/Fe-Cu-Al @HZSM-5 tandem catalysts: Effects of zeolite surface acidity on aromatics formation. Fuel Processing Technology. 248. 107824–107824. 18 indexed citations

Zhang, Changhe, et al.. (2023). An end-to-end lower limb activity recognition framework based on sEMG data augmentation and enhanced CapsNet. Expert Systems with Applications. 227. 120257–120257. 14 indexed citations

Chen, Xixi, Chao Deng, Ruxing Gao, et al.. (2023). Hydrogenation of Carbon Dioxide to Methanol over Non-Noble Catalysts: A State-of-the-Art Review. Atmosphere. 14(8). 1208–1208. 13 indexed citations

Zhang, Changhe, et al.. (2023). Interpretable Dual-branch EMGNet: A transfer learning-based network for inter-subject lower limb motion intention recognition. Engineering Applications of Artificial Intelligence. 130. 107761–107761. 10 indexed citations

Zhang, Changhe, et al.. (2023). An improved GNN using dynamic graph embedding mechanism: A novel end-to-end framework for rolling bearing fault diagnosis under variable working conditions. Mechanical Systems and Signal Processing. 200. 110534–110534. 80 indexed citations breakdown →

Deng, Chao, Xixi Chen, Ruxing Gao, et al.. (2023). Research Advances on Nitrogen-Doped Carbon Materials in COx Hydrogenation. Atmosphere. 14(10). 1510–1510. 13 indexed citations

10.

Zhang, Changhe, et al.. (2023). SKND-TSACNN: A novel time-scale adaptive CNN framework for fault diagnosis of rotating machinery. Knowledge-Based Systems. 275. 110682–110682. 18 indexed citations

11.

Chen, Zuoyi, et al.. (2022). Deep residual shrinkage relation network for anomaly detection of rotating machines. Journal of Manufacturing Systems. 65. 579–590. 27 indexed citations

12.

Liang, Pengfei, Chao Deng, Xiaoming Yuan, & Lijie Zhang. (2022). A deep capsule neural network with data augmentation generative adversarial networks for single and simultaneous fault diagnosis of wind turbine gearbox. ISA Transactions. 135. 462–475. 42 indexed citations

13.

Chen, Zuoyi, et al.. (2022). Wide Residual Relation Network-Based Intelligent Fault Diagnosis of Rotating Machines with Small Samples. Sensors. 22(11). 4161–4161. 10 indexed citations

14.

Chen, Zuoyi, et al.. (2022). Deep Attention Relation Network: A Zero-Shot Learning Method for Bearing Fault Diagnosis Under Unknown Domains. IEEE Transactions on Reliability. 72(1). 79–89. 60 indexed citations

15.

Li, Guoqiang, Jun Wu, Chao Deng, Zuoyi Chen, & Xinyu Shao. (2021). Convolutional Neural Network-Based Bayesian Gaussian Mixture for Intelligent Fault Diagnosis of Rotating Machinery. IEEE Transactions on Instrumentation and Measurement. 70. 1–10. 47 indexed citations

16.

Li, Guoqiang, Jun Wu, Chao Deng, Xuebing Xu, & Xinyu Shao. (2021). Deep Reinforcement Learning-Based Online Domain Adaptation Method for Fault Diagnosis of Rotating Machinery. IEEE/ASME Transactions on Mechatronics. 27(5). 2796–2805. 48 indexed citations

17.

Liang, Pengfei, Chao Deng, Jun Wu, et al.. (2019). Intelligent Fault Diagnosis via Semisupervised Generative Adversarial Nets and Wavelet Transform. IEEE Transactions on Instrumentation and Measurement. 69(7). 4659–4671. 92 indexed citations

18.

Deng, Chao, Jun Wu, Sheng Quan Xie, & Bo Sheng. (2015). Health status assessment for the feed system of CNC machine tool based on simulation. 1087–1092. 5 indexed citations

19.

Wang, Yuanhang, et al.. (2013). A corrective maintenance scheme for engineering equipment. Engineering Failure Analysis. 36. 269–283. 73 indexed citations

20.

Wu, Jun, et al.. (2011). A dynamic model-based process reliability simulation method. Systems Engineering - Theory & Practice. 31(7). 1403–1408. 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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