Chenhui Qian

475 total citations · 1 hit paper
15 papers, 323 citations indexed

About

Chenhui Qian is a scholar working on Control and Systems Engineering, Mechanics of Materials and Artificial Intelligence. According to data from OpenAlex, Chenhui Qian has authored 15 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 5 papers in Mechanics of Materials and 4 papers in Artificial Intelligence. Recurrent topics in Chenhui Qian's work include Machine Fault Diagnosis Techniques (11 papers), Fault Detection and Control Systems (5 papers) and Engineering Diagnostics and Reliability (4 papers). Chenhui Qian is often cited by papers focused on Machine Fault Diagnosis Techniques (11 papers), Fault Detection and Control Systems (5 papers) and Engineering Diagnostics and Reliability (4 papers). Chenhui Qian collaborates with scholars based in China. Chenhui Qian's co-authors include Quan Jiang, Yehu Shen, Qingkui Zhang, Qixin Zhu, Fengyu Xu, Jialong He, Liang Wang, Guofa Li, Weijun Gao and Yan Liu and has published in prestigious journals such as Mechanical Systems and Signal Processing, IEEE Internet of Things Journal and Knowledge-Based Systems.

In The Last Decade

Chenhui Qian

13 papers receiving 308 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.

Application of recurrent neural network to mechanical fault diagnosis: a review

2022 110 citations Quan Jiang, Yehu Shen et al. Journal of Mechanical Science and Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chenhui Qian China	7	243	124	87	63	30	15	323
Rismaya Kumar Mishra India	9	257 1.1×	144 1.2×	97 1.1×	51 0.8×	28 0.9×	18	345
Jin Uk Ko South Korea	10	240 1.0×	115 0.9×	69 0.8×	75 1.2×	29 1.0×	14	305
Mingkuan Shi China	10	278 1.1×	117 0.9×	84 1.0×	109 1.7×	22 0.7×	18	353
Haizhou Huang China	7	239 1.0×	177 1.4×	78 0.9×	43 0.7×	33 1.1×	16	327
Jianping Yan China	9	335 1.4×	198 1.6×	103 1.2×	64 1.0×	29 1.0×	23	423
Xun Dong China	5	230 0.9×	120 1.0×	65 0.7×	53 0.8×	65 2.2×	8	288
Zhen Shi China	10	305 1.3×	170 1.4×	103 1.2×	68 1.1×	32 1.1×	24	401
Diwang Ruan China	9	356 1.5×	215 1.7×	104 1.2×	64 1.0×	30 1.0×	29	450
Yongwu Cai China	4	275 1.1×	188 1.5×	89 1.0×	35 0.6×	42 1.4×	5	347
Dalian Yang China	9	277 1.1×	185 1.5×	93 1.1×	44 0.7×	21 0.7×	13	360

Countries citing papers authored by Chenhui Qian

Since Specialization

Citations

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

Fields of papers citing papers by Chenhui Qian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenhui Qian

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

All Works

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15 of 15 papers shown

Qian, Chenhui, et al.. (2025). An uneven maximum classifier discrepancy rolling bearing transfer fault diagnosis method combining GCN and KAN. Measurement Science and Technology. 36(12). 126105–126105.

He, Jialong, et al.. (2025). Progressive orthogonal matching pursuit and adaptive modal screening for fault diagnosis of rotating machinery components using acoustic signals. Measurement. 252. 117345–117345. 1 indexed citations

Liu, Yan, et al.. (2025). Data imbalance fault diagnosis method based on an ensemble multi-scale convolutional attention network. Mechanical Systems and Signal Processing. 236. 112934–112934. 6 indexed citations

Lin, Xiaoshan, et al.. (2025). Adaptive cross-domain fault diagnosis method for rolling bearing based on 1D large-convolution DenseNet. Nonlinear Dynamics. 113(17). 22853–22874.

Yang, Zhaojun, et al.. (2025). A Diagnostic Framework for Harmonic Drives Based on Dynamic Graph Data Augmentation and Adaptive Knowledge Distillation for Graphs. IEEE Internet of Things Journal. 12(17). 36126–36140. 1 indexed citations

He, Jialong, et al.. (2024). Bearing Fault Feature Extraction via Adaptive Frequency Matching and Coupling Analysis. IEEE Sensors Journal. 24(23). 39565–39577. 2 indexed citations

Qian, Chenhui, et al.. (2024). A new indirect transfer fault diagnosis method based on feature separation. Knowledge-Based Systems. 300. 112058–112058. 6 indexed citations

Li, Guofa, et al.. (2024). A multi-domain adversarial transfer network for cross domain fault diagnosis under imbalanced data. Engineering Applications of Artificial Intelligence. 136. 108948–108948. 20 indexed citations

He, Jialong, et al.. (2023). Remaining Useful Life Prediction and Uncertainty Quantification for Bearings Based on Cascaded Multiscale Convolutional Neural Network. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 23 indexed citations

10.

Jiang, Quan, et al.. (2022). Application of recurrent neural network to mechanical fault diagnosis: a review. Journal of Mechanical Science and Technology. 36(2). 527–542. 110 indexed citations breakdown →

11.

Qian, Chenhui, et al.. (2022). Deep Transfer Learning in Mechanical Intelligent Fault Diagnosis: Application and Challenge. Neural Processing Letters. 54(3). 2509–2531. 61 indexed citations

12.

Qian, Chenhui, et al.. (2021). An intelligent fault diagnosis method for rolling bearings based on feature transfer with improved DenseNet and joint distribution adaptation. Measurement Science and Technology. 33(2). 25101–25101. 38 indexed citations

13.

Jiang, Quan, et al.. (2021). New transfer learning fault diagnosis method of rolling bearing based on ADC-CNN and LATL under variable conditions. Measurement. 188. 110587–110587. 51 indexed citations

14.

Qian, Chenhui. (2007). Implementation of Area Boundary Vectorization and Area Structure Information Extraction for Bianry Raster Data. Bulletin of Science and Technology. 2 indexed citations

15.

Rui, Yikang, et al.. (2007). A new compound algorithm study for Delaunay triangulation construction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6751. 67510B–67510B. 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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