Cheng Qu

571 total citations
11 papers, 409 citations indexed

About

Cheng Qu is a scholar working on Control and Systems Engineering, Mechanics of Materials and Artificial Intelligence. According to data from OpenAlex, Cheng Qu has authored 11 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 3 papers in Mechanics of Materials and 3 papers in Artificial Intelligence. Recurrent topics in Cheng Qu's work include Machine Fault Diagnosis Techniques (4 papers), Engineering Diagnostics and Reliability (3 papers) and Gear and Bearing Dynamics Analysis (3 papers). Cheng Qu is often cited by papers focused on Machine Fault Diagnosis Techniques (4 papers), Engineering Diagnostics and Reliability (3 papers) and Gear and Bearing Dynamics Analysis (3 papers). Cheng Qu collaborates with scholars based in China, Japan and Australia. Cheng Qu's co-authors include Jinglong Chen, Tongyang Pan, Chuanjun Liu, Yuanhong Chang, Jiongming Qin, Бин Чэн, Cong Wang, Ran Xu, Bin Chen and Haixin Lv and has published in prestigious journals such as Renewable Energy, Sensors and Actuators B Chemical and Waste Management.

In The Last Decade

Cheng Qu

11 papers receiving 389 citations

Peers

Cheng Qu
Sazzad Hossain Bangladesh
Xiaoyu Tang China
Hasmah Mansor Malaysia
Štěpán Ožana Czechia
Çiğdem İnan Acı Türkiye
Xuebin Yue Japan
Liukui Chen China
Mohammad Shahidul Islam Malaysia
Sazzad Hossain Bangladesh
Cheng Qu
Citations per year, relative to Cheng Qu Cheng Qu (= 1×) peers Sazzad Hossain

Countries citing papers authored by Cheng Qu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Qu

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

All Works

11 of 11 papers shown
1.
Qu, Cheng, et al.. (2023). A Domain Generative Graph Network for EEG-Based Emotion Recognition. IEEE Journal of Biomedical and Health Informatics. 27(5). 2377–2386. 39 indexed citations
2.
Chen, Bin, et al.. (2023). Investigation on the combined model of sensor drift compensation and open-set gas recognition based on electronic nose datasets. Chemometrics and Intelligent Laboratory Systems. 242. 105003–105003. 3 indexed citations
3.
Chen, Guozhang, Cheng Qu, & Pulin Gong. (2022). Anomalous diffusion dynamics of learning in deep neural networks. Neural Networks. 149. 18–28. 15 indexed citations
4.
Qu, Cheng, et al.. (2022). Open-set gas recognition: A case-study based on an electronic nose dataset. Sensors and Actuators B Chemical. 360. 131652–131652. 16 indexed citations
5.
Wang, Cong, Jiongming Qin, Cheng Qu, et al.. (2021). A smart municipal waste management system based on deep-learning and Internet of Things. Waste Management. 135. 20–29. 149 indexed citations
6.
Liu, Shen, et al.. (2020). LOSGAN: latent optimized stable GAN for intelligent fault diagnosis with limited data in rotating machinery. Measurement Science and Technology. 32(4). 45101–45101. 42 indexed citations
7.
Chen, Jinglong, Yuanhong Chang, Cheng Qu, et al.. (2020). Intelligent Impulse Finder: A boosting multi-kernel learning network using raw data for mechanical fault identification in big data era. ISA Transactions. 107. 402–414. 9 indexed citations
8.
Pan, Tongyang, Jinglong Chen, Cheng Qu, & Zitong Zhou. (2020). A method for mechanical fault recognition with unseen classes via unsupervised convolutional adversarial auto-encoder. Measurement Science and Technology. 32(3). 35113–35113. 17 indexed citations
9.
Chang, Yuanhong, Jinglong Chen, Cheng Qu, & Tongyang Pan. (2020). Intelligent fault diagnosis of Wind Turbines via a Deep Learning Network Using Parallel Convolution Layers with Multi-Scale Kernels. Renewable Energy. 153. 205–213. 106 indexed citations
10.
Yang, Xiao, Weiqing Liu, Lewen Wang, Cheng Qu, & Jiang Bian. (2019). A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies. 1–5. 1 indexed citations
11.
Qu, Cheng, et al.. (2016). Toward incremental dialogue act segmentation in fast-paced interactive dialogue systems. 252–262. 12 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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2026