Xiaoqing Cheng

673 total citations · 1 hit paper
34 papers, 396 citations indexed

About

Xiaoqing Cheng is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaoqing Cheng has authored 34 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 11 papers in Mechanical Engineering and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaoqing Cheng's work include Machine Fault Diagnosis Techniques (8 papers), Railway Systems and Energy Efficiency (5 papers) and Fault Detection and Control Systems (4 papers). Xiaoqing Cheng is often cited by papers focused on Machine Fault Diagnosis Techniques (8 papers), Railway Systems and Energy Efficiency (5 papers) and Fault Detection and Control Systems (4 papers). Xiaoqing Cheng collaborates with scholars based in China, United Kingdom and United States. Xiaoqing Cheng's co-authors include Yong Qin, Limin Jia, Ao Ding, Biao Wang, Kang Li, Zongyi Xing, Zhenyu Zhang, Liang Guo, Zihao Wang and Yifan Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Pattern Recognition.

In The Last Decade

Xiaoqing Cheng

29 papers receiving 385 citations

Hit Papers

Evolvable graph neural network for system-level increment... 2024 2026 2025 2024 20 40 60
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.

  1. Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems
    2024 74 citations Ao Ding, Yong Qin 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 Career Trend Papers Cites
Xiaoqing Cheng China 10 197 133 71 48 48 34 396
Janusz Szpytko Poland 10 229 1.2× 191 1.4× 50 0.7× 96 2.0× 43 0.9× 125 510
Ananda Shankar Hati India 11 335 1.7× 176 1.3× 130 1.8× 47 1.0× 83 1.7× 30 527
Michał Orkisz Poland 10 252 1.3× 134 1.0× 95 1.3× 33 0.7× 58 1.2× 30 362
Muheng Wei China 9 223 1.1× 92 0.7× 49 0.7× 28 0.6× 48 1.0× 24 374
Gang Niu China 12 345 1.8× 192 1.4× 80 1.1× 47 1.0× 102 2.1× 20 488
Yuxian Zhang China 12 134 0.7× 104 0.8× 108 1.5× 20 0.4× 23 0.5× 59 382
Christos Yiakopoulos Greece 9 329 1.7× 193 1.5× 150 2.1× 24 0.5× 103 2.1× 23 523
Shahin Siahpour United States 9 121 0.6× 115 0.9× 54 0.8× 146 3.0× 34 0.7× 17 424
Yong Guo China 12 156 0.8× 119 0.9× 26 0.4× 22 0.5× 53 1.1× 39 413

Countries citing papers authored by Xiaoqing Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoqing Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoqing Cheng

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

All Works

20 of 20 papers shown
1.
Wang, Ying, et al.. (2025). Dynamic ensemble deep learning with multi-source data for robust influenza forecasting in Yangzhou. BMC Public Health. 26(1). 194–194.
2.
Qin, Yong, et al.. (2025). RVSA-3D: Voxel-based fully sparse attention 3D object detection for rail transit obstacle perception. Pattern Recognition. 171. 112324–112324.
3.
Cheng, Xiaoqing, et al.. (2024). ERT-GFAN: A multimodal drug–target interaction prediction model based on molecular biology and knowledge-enhanced attention mechanism. Computers in Biology and Medicine. 180. 109012–109012. 3 indexed citations
4.
Qin, Yong, et al.. (2024). A Complementary Continual Learning Framework Using Incremental Samples for Remaining Useful Life Prediction of Machinery. IEEE Transactions on Industrial Informatics. 20(12). 14330–14340. 1 indexed citations
5.
Ding, Ao, Yong Qin, Biao Wang, et al.. (2024). Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems. Mechanical Systems and Signal Processing. 210. 111175–111175. 74 indexed citations breakdown →
6.
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8.
Zhang, Zhenyu, et al.. (2023). Optimal sizing of battery-supercapacitor energy storage systems for trams using improved PSO algorithm. Journal of Energy Storage. 73. 108962–108962. 18 indexed citations
9.
Zhang, Zhenyu, et al.. (2023). Energy management strategy optimization for hybrid energy storage system of tram based on competitive particle swarm algorithms. Journal of Energy Storage. 75. 109698–109698. 16 indexed citations
10.
Ma, Zhen, Meng Gu, Liliang Wang, et al.. (2023). In situ generation of carbon-doped modified KCl–LiCl high-efficiency thermal storage materials with 3D network structure. Materials Today Sustainability. 23. 100436–100436. 3 indexed citations
11.
Ding, Ao, Yong Qin, Biao Wang, Xiaoqing Cheng, & Limin Jia. (2023). An Elastic Expandable Fault Diagnosis Method of Three-Phase Motors Using Continual Learning for Class-Added Sample Accumulations. IEEE Transactions on Industrial Electronics. 71(7). 7896–7905. 34 indexed citations
12.
Zhang, Zhenyu, et al.. (2023). Pareto multi-objective optimization of metro train energy-saving operation using improved NSGA-II algorithms. Chaos Solitons & Fractals. 176. 114183–114183. 16 indexed citations
13.
Ding, Ao, Yong Qin, Biao Wang, Limin Jia, & Xiaoqing Cheng. (2022). Lightweight Multiscale Convolutional Networks With Adaptive Pruning for Intelligent Fault Diagnosis of Train Bogie Bearings in Edge Computing Scenarios. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 50 indexed citations
14.
Yang, Tangwen, et al.. (2018). Volume Measurement of Moving Irregular Objects Using Linear Laser and Camera. 1288–1293. 5 indexed citations
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16.
Qin, Yong, Lei Zhu, Zhenyu Zhang, Linlin Kou, & Xiaoqing Cheng. (2015). Railway Disaster Prevention and Snow Survey Design Optimization Technology. The Open Automation and Control Systems Journal. 7(1). 1895–1902. 1 indexed citations
17.
Qin, Yong, et al.. (2013). Safety Region Estimation and State Identification of Rolling Bearing Based on Statistical Feature Extraction. SHILAP Revista de lepidopterología. 2 indexed citations
18.
Jia, Limin, et al.. (2013). Safety Region Estimation and State Identification of Rolling Bearing Based on Statistical Feature Extraction. Shock and Vibration. 20(5). 833–846. 3 indexed citations
19.
20.
Cheng, Xiaoqing, et al.. (2008). Reconstructed System of CT Image Based on Contour Tracking. 235–238.

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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