Shaojiang Dong

1.4k total citations
46 papers, 1.1k citations indexed

About

Shaojiang Dong is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Shaojiang Dong has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Control and Systems Engineering, 25 papers in Mechanical Engineering and 15 papers in Mechanics of Materials. Recurrent topics in Shaojiang Dong's work include Machine Fault Diagnosis Techniques (29 papers), Gear and Bearing Dynamics Analysis (20 papers) and Engineering Diagnostics and Reliability (13 papers). Shaojiang Dong is often cited by papers focused on Machine Fault Diagnosis Techniques (29 papers), Gear and Bearing Dynamics Analysis (20 papers) and Engineering Diagnostics and Reliability (13 papers). Shaojiang Dong collaborates with scholars based in China, United States and Ethiopia. Shaojiang Dong's co-authors include Baoping Tang, Tianhong Luo, Xiangyang Xu, Tengwei Song, Shisheng Zhong, Xuyun Fu, Michael Pecht, Minghang Zhao, Renxiang Chen and Jinbao Yao and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Sensors and Applied Thermal Engineering.

In The Last Decade

Shaojiang Dong

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaojiang Dong China 17 808 543 277 113 104 46 1.1k
Dezun Zhao China 21 1.1k 1.4× 692 1.3× 336 1.2× 163 1.4× 90 0.9× 47 1.4k
Yuantao Yang China 12 1.1k 1.3× 623 1.1× 371 1.3× 87 0.8× 181 1.7× 17 1.3k
Zhiwen Liu China 18 610 0.8× 461 0.8× 164 0.6× 113 1.0× 47 0.5× 45 965
Zhenzhen Jin China 17 772 1.0× 505 0.9× 261 0.9× 91 0.8× 119 1.1× 53 1.1k
Weidong Cheng China 20 1.0k 1.3× 749 1.4× 284 1.0× 169 1.5× 104 1.0× 45 1.2k
Fengjie Fan China 19 780 1.0× 446 0.8× 259 0.9× 80 0.7× 138 1.3× 58 993
Zhe Cheng China 19 680 0.8× 561 1.0× 235 0.8× 113 1.0× 105 1.0× 58 1.1k
Zuozhou Pan China 11 600 0.7× 385 0.7× 194 0.7× 61 0.5× 83 0.8× 28 758
Shulin Liu China 20 730 0.9× 475 0.9× 271 1.0× 93 0.8× 198 1.9× 87 1.2k

Countries citing papers authored by Shaojiang Dong

Since Specialization
Citations

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

Fields of papers citing papers by Shaojiang Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojiang Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Shaojiang Dong. A scholar is included among the top collaborators of Shaojiang Dong 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 Shaojiang Dong. Shaojiang Dong 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.
Duan, Hui, et al.. (2025). Moisture absorption behavior of CFRP: Finite element analysis and machine learning coupled method. Journal of Reinforced Plastics and Composites. 45(7-8). 1877–1889. 1 indexed citations
2.
Liu, Mingwei, et al.. (2025). Research on variable stiffness robotic joint actuator based on shape memory alloy. Journal of Mechanical Science and Technology. 39(2). 939–948. 1 indexed citations
3.
Zhan, Sen, et al.. (2025). Optimization design method for serpentine cold plates combining structural parameter tuning and topology optimization. Applied Thermal Engineering. 275. 126868–126868. 2 indexed citations
4.
Zhang, Xia, et al.. (2024). A Bionic Bipedal Balancing Control Based on Control Priority and Target Attitude Adjustments. International Journal of Humanoid Robotics. 22(3).
5.
Dong, Shaojiang, et al.. (2024). Lightweight Sewer Pipe Crack Detection Method Based on Amphibious Robot and Improved YOLOv8n. Sensors. 24(18). 6112–6112. 7 indexed citations
6.
Tian, Shengli, et al.. (2024). Modelling and testing of the dynamic support stiffness of assembled bearings in motorized spindles. Journal of Mechanical Science and Technology. 38(6). 2717–2724. 2 indexed citations
7.
Dong, Shaojiang, et al.. (2023). Environmental sound classification based on improved compact bilinear attention network. Digital Signal Processing. 141. 104170–104170. 6 indexed citations
8.
Dong, Shaojiang, et al.. (2023). Fault state identification of rolling bearings based on deep transfer convolutional autoencoder and a new health indicator. Measurement. 223. 113730–113730. 7 indexed citations
9.
Dong, Shaojiang, et al.. (2023). Pixel-Level Concrete Crack Segmentation Using Pyramidal Residual Network with Omni-Dimensional Dynamic Convolution. Processes. 11(2). 546–546. 5 indexed citations
10.
Zhu, Peng, et al.. (2022). A simulation-data-driven subdomain adaptation adversarial transfer learning network for rolling element bearing fault diagnosis. Measurement Science and Technology. 33(7). 75101–75101. 29 indexed citations
11.
Dong, Shaojiang, et al.. (2021). Adaptive terminal sliding mode control of autonomous underwater vehicle (AUV) depth based on a disturbance observer. Journal of Beijing University of Chemical Technology. 48(1). 103.
12.
Wei, Hanbing, et al.. (2021). Magnetic circuit design and optimisation of magnetorheological mount with tapered channel under the flow mode. Journal of Intelligent Material Systems and Structures. 32(14). 1614–1623. 10 indexed citations
13.
14.
Su, Zuqiang, et al.. (2020). A fault diagnosis model based on singular value manifold features, optimized SVMs and multi-sensor information fusion. Measurement Science and Technology. 31(9). 95002–95002. 36 indexed citations
15.
Xu, Xiangyang, et al.. (2016). Research on dynamical characteristics of planetary gear system with tooth pitting. Journal of Vibroengineering. 18(7). 4419–4429. 4 indexed citations
16.
Sheng, Jinlu, et al.. (2016). Fault feature extraction method based on local mean decomposition Shannon entropy and improved kernel principal component analysis model. Advances in Mechanical Engineering. 8(8). 12 indexed citations
17.
Sheng, Jinlu, et al.. (2016). Bearing fault diagnosis based on intrinsic time-scale decomposition and improved Support vector machine model. Journal of Vibroengineering. 18(2). 849–859. 8 indexed citations
18.
Dong, Shaojiang, et al.. (2015). Rotating Machine Fault Diagnosis Based on KPCA and Optimized BPNN-KNN Model. 36(4). 299–305. 3 indexed citations
19.
Dong, Shaojiang, et al.. (2015). Rotating Machine Fault Diagnosis Based on Optimal Morphological Filter and Local Tangent Space Alignment. Shock and Vibration. 2015. 1–9. 18 indexed citations
20.
Chen, Xiaoan, et al.. (2013). Single-channel bearing vibration signal blind source separation method based on morphological filter and optimal matching pursuit (MP) algorithm. Journal of Vibration and Control. 21(9). 1757–1768. 13 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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