Muqing Deng

1.0k total citations · 1 hit paper
31 papers, 773 citations indexed

About

Muqing Deng is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Muqing Deng has authored 31 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Muqing Deng's work include Gait Recognition and Analysis (16 papers), Human Pose and Action Recognition (10 papers) and ECG Monitoring and Analysis (7 papers). Muqing Deng is often cited by papers focused on Gait Recognition and Analysis (16 papers), Human Pose and Action Recognition (10 papers) and ECG Monitoring and Analysis (7 papers). Muqing Deng collaborates with scholars based in China, Hong Kong and United States. Muqing Deng's co-authors include Jiuwen Cao, Cong Wang, Yanjiao Wang, Huijie Fan, Shimin Wang, Tingting Meng, Jing Zhang, Shihua Tang, Cong Wang and Wei Zeng and has published in prestigious journals such as The American Journal of Cardiology, Pattern Recognition and Journal of the Franklin Institute.

In The Last Decade

Muqing Deng

29 papers receiving 749 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.

Heart sound classification based on improved MFCC features and convolutional recurrent neural networks

2020 229 citations Muqing Deng, Tingting Meng et al. Neural Networks profile →

Peers

Muqing Deng

BE

CVPR

AI

CSE

PRM

Chengzhi Yuan United States

Yunho Jung South Korea

J. S. Sahambi India

Ramesh Kumar Sunkaria India

Mohammad Ali Tinati Iran

M. Bilginer Gülmezoğlu Türkiye

Lakhan Dev Sharma India

Akinori Nishihara Japan

Katarzyna Radecka Canada

Binish Fatimah India

Chengzhi Yuan United States

Muqing Deng

127 ×0.5

BE

48 ×0.2

CVPR

112 ×0.6

AI

621 ×3.7

CSE

109 ×0.7

PRM

Citations per year, relative to Muqing Deng Muqing Deng (= 1×) peers Chengzhi Yuan

Countries citing papers authored by Muqing Deng

Since Specialization

Citations

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

Fields of papers citing papers by Muqing Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muqing Deng

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

1.

Deng, Muqing, et al.. (2026). A novel deep neural network with the dynamical moving window data for nonlinear system identification. Communications in Nonlinear Science and Numerical Simulation. 158. 109670–109670. 3 indexed citations

2.

Deng, Muqing, et al.. (2025). Intelligent risk stratification of hypertension based on ambulatory blood pressure monitoring and machine learning algorithms. Physiological Measurement. 46(3). 35001–35001.

3.

Wang, Yanjiao, Yiting Liu, Jiehao Chen, Shihua Tang, & Muqing Deng. (2024). Online identification of Hammerstein systems with B‐spline networks. International Journal of Adaptive Control and Signal Processing. 38(6). 2074–2092. 42 indexed citations

4.

Deng, Muqing, et al.. (2024). Frontal-view gait recognition using discriminative dynamics feature representations and learning. Journal of Electronic Imaging. 33(1). 1 indexed citations

5.

Deng, Muqing, et al.. (2024). Human Gait Recognition Based on Frontal-View Walking Sequences Using Multi-modal Feature Representations and Learning. Neural Processing Letters. 56(2). 4 indexed citations

6.

Wang, Yanjiao, Yiting Liu, Weidi Li, Muqing Deng, & Kaiwei Wang. (2024). Online estimation method for extreme learning machine with kernels based on the multi-innovation theory and intelligent optimization strategy. ISA Transactions. 156. 142–153. 20 indexed citations

7.

Deng, Muqing, et al.. (2023). An intelligent computer-aided diagnosis method for paroxysmal atrial fibrillation patients with nondiagnostic ECG signals. Biomedical Signal Processing and Control. 88. 105683–105683. 7 indexed citations

8.

Deng, Muqing, et al.. (2023). Human Gait Recognition Based on Frontal-View Sequences Using Gait Dynamics and Deep Learning. IEEE Transactions on Multimedia. 26. 117–126. 9 indexed citations

9.

Wang, Yanjiao, Shihua Tang, & Muqing Deng. (2022). Modeling nonlinear systems using the tensor network B‐spline and the multi‐innovation identification theory. International Journal of Robust and Nonlinear Control. 32(13). 7304–7318. 79 indexed citations

10.

Zhao, Tianqi, Muqing Deng, Peng Lin, Jianzhong Wang, & Jiuwen Cao. (2021). Classification of myocardial infarction based on ECG signals and multi-network stacking model. 7266–7270.

11.

Deng, Muqing, Tingting Meng, Jiuwen Cao, et al.. (2020). Heart sound classification based on improved MFCC features and convolutional recurrent neural networks. Neural Networks. 130. 22–32. 229 indexed citations breakdown →

12.

Cao, Jiuwen, et al.. (2019). Multilayer one-class extreme learning machine. Neural Networks. 115. 11–22. 63 indexed citations

13.

Deng, Muqing, et al.. (2019). Human gait recognition based on deterministic learning and knowledge fusion through multiple walking views. Journal of the Franklin Institute. 357(4). 2471–2491. 23 indexed citations

14.

Wang, Yaomin, Jiuwen Cao, Jianzhong Wang, Dinghan Hu, & Muqing Deng. (2019). Epileptic Signal Classification with Deep Transfer Learning Feature on Mean Amplitude Spectrum. PubMed. 2019. 2392–2395. 18 indexed citations

15.

Deng, Muqing, et al.. (2018). Human gait recognition based on deterministic learning and Kinect sensor. 1842–1847. 7 indexed citations

16.

Deng, Muqing, et al.. (2018). Extracting cardiac dynamics within ECG signal for human identification and cardiovascular diseases classification. Neural Networks. 100. 70–83. 57 indexed citations

17.

Deng, Muqing, et al.. (2018). Recognizing knee pathologies by using gait dynamics via kernel principal component analysis and deterministic learning theory. Journal of Ambient Intelligence and Humanized Computing. 14(11). 15535–15543. 4 indexed citations

18.

Deng, Muqing, et al.. (2018). Individual identification using a gait dynamics graph. Pattern Recognition. 83. 287–298. 9 indexed citations

19.

Deng, Muqing, et al.. (2017). Fusion of spatial-temporal and kinematic features for gait recognition with deterministic learning. Pattern Recognition. 67. 186–200. 61 indexed citations

20.

Deng, Muqing, Min Tang, Cong Wang, et al.. (2016). Cardiodynamicsgram as a New Diagnostic Tool in Coronary Artery Disease Patients With Nondiagnostic Electrocardiograms. The American Journal of Cardiology. 119(5). 698–704. 26 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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