Yutong Dong

670 total citations · 2 hit papers
19 papers, 403 citations indexed

About

Yutong Dong is a scholar working on Control and Systems Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Yutong Dong has authored 19 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 6 papers in Mechanics of Materials and 6 papers in Mechanical Engineering. Recurrent topics in Yutong Dong's work include Machine Fault Diagnosis Techniques (15 papers), Fault Detection and Control Systems (10 papers) and Engineering Diagnostics and Reliability (6 papers). Yutong Dong is often cited by papers focused on Machine Fault Diagnosis Techniques (15 papers), Fault Detection and Control Systems (10 papers) and Engineering Diagnostics and Reliability (6 papers). Yutong Dong collaborates with scholars based in China. Yutong Dong's co-authors include Hongkai Jiang, Xin Wang, Qiao Yang, Yunpeng Liu, Wenxin Jiang, Zhenghong Wu, Renhe Yao, Xin Wang, Te Chen and Lei Liu and has published in prestigious journals such as Expert Systems with Applications, Mechanical Systems and Signal Processing and Reliability Engineering & System Safety.

In The Last Decade

Yutong Dong

17 papers receiving 389 citations

Hit Papers

A trackable multi-domain collaborative generative adversa... 2024 2026 2025 2024 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yutong Dong China 11 291 145 96 78 44 19 403
Qiao Yang China 7 218 0.7× 125 0.9× 69 0.7× 67 0.9× 35 0.8× 24 329
Dongfang Zhao China 12 347 1.2× 205 1.4× 120 1.3× 80 1.0× 47 1.1× 28 471
Zhiwu Shang China 12 319 1.1× 170 1.2× 102 1.1× 94 1.2× 31 0.7× 40 411
Qiuyu Song China 9 396 1.4× 208 1.4× 141 1.5× 78 1.0× 31 0.7× 20 480
Lixiao Cao China 14 440 1.5× 243 1.7× 129 1.3× 83 1.1× 47 1.1× 23 550
M. Saimurugan India 10 347 1.2× 237 1.6× 103 1.1× 41 0.5× 51 1.2× 32 465
Zhuang Ye China 11 327 1.1× 182 1.3× 91 0.9× 58 0.7× 102 2.3× 17 490
Jin Uk Ko South Korea 10 240 0.8× 115 0.8× 69 0.7× 75 1.0× 29 0.7× 14 305
Biliang Lu China 11 368 1.3× 194 1.3× 103 1.1× 104 1.3× 35 0.8× 18 473
Rongzhen Zhao China 14 361 1.2× 220 1.5× 115 1.2× 77 1.0× 64 1.5× 39 489

Countries citing papers authored by Yutong Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yutong Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutong Dong

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

All Works

19 of 19 papers shown
1.
Jiang, Hongkai, et al.. (2025). A convolutional-transformer reinforcement learning agent for rotating machinery fault diagnosis. Expert Systems with Applications. 271. 126669–126669. 6 indexed citations
2.
Wang, Xin, et al.. (2025). An adaptive fused domain-cycling variational generative adversarial network for machine fault diagnosis under data scarcity. Information Fusion. 126. 103616–103616. 10 indexed citations
3.
Dong, Yutong, et al.. (2025). Entropy-Oriented Semi-Supervised Dynamic Prototype Contrastive Learning for Rotating Machinery Fault Diagnosis. IEEE/ASME Transactions on Mechatronics. 30(6). 4934–4945. 2 indexed citations
4.
Dong, Yutong, et al.. (2025). An interpretable integration fusion time-frequency prototype contrastive learning for machine fault diagnosis with limited labeled samples. Information Fusion. 124. 103340–103340. 10 indexed citations
5.
Dong, Yutong, et al.. (2025). A trustworthy lightweight multi-expert wavelet transformer for rotating machinery fault diagnosis. Mechanical Systems and Signal Processing. 235. 112945–112945. 3 indexed citations
6.
Yao, Renhe, et al.. (2024). Deep discriminative sparse representation learning for machinery fault diagnosis. Engineering Applications of Artificial Intelligence. 135. 108836–108836. 6 indexed citations
7.
Jiang, Hongkai, et al.. (2024). A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples. Advanced Engineering Informatics. 62. 102870–102870. 22 indexed citations
8.
Dong, Yutong, et al.. (2024). Dynamic normalization supervised contrastive network with multiscale compound attention mechanism for gearbox imbalanced fault diagnosis. Engineering Applications of Artificial Intelligence. 133. 108098–108098. 50 indexed citations breakdown →
9.
Jiang, Hongkai, et al.. (2024). An enhanced meta-learning network with sensitivity penalty for cross-domain few-shot fault diagnosis. Measurement Science and Technology. 35(9). 95106–95106.
10.
Jiang, Hongkai, et al.. (2024). Energy bubble entropy guided symplectic geometry mode decomposition for rotating machinery incipient fault feature extraction. Measurement Science and Technology. 35(12). 125124–125124. 1 indexed citations
11.
Wang, Xin, et al.. (2024). A trackable multi-domain collaborative generative adversarial network for rotating machinery fault diagnosis. Mechanical Systems and Signal Processing. 224. 111950–111950. 55 indexed citations breakdown →
12.
Jiang, Hongkai, et al.. (2024). Adaptive model-agnostic meta-learning network for cross-machine fault diagnosis with limited samples. Engineering Applications of Artificial Intelligence. 141. 109748–109748. 11 indexed citations
13.
Dong, Yutong, et al.. (2024). Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis. Advanced Engineering Informatics. 62. 102573–102573. 45 indexed citations
14.
Dong, Yutong, et al.. (2024). Global wavelet-integrated residual frequency attention regularized network for hypersonic flight vehicle fault diagnosis with imbalanced data. Engineering Applications of Artificial Intelligence. 132. 107968–107968. 28 indexed citations
15.
Dong, Yutong, et al.. (2024). An interpretable multiscale lifting wavelet contrast network for planetary gearbox fault diagnosis with small samples. Reliability Engineering & System Safety. 251. 110404–110404. 38 indexed citations
16.
Dong, Yutong, Hongkai Jiang, Zhenghong Wu, Qiao Yang, & Yunpeng Liu. (2023). Digital twin-assisted multiscale residual-self-attention feature fusion network for hypersonic flight vehicle fault diagnosis. Reliability Engineering & System Safety. 235. 109253–109253. 68 indexed citations
17.
Dong, Yutong, et al.. (2023). Rolling bearing intelligent fault diagnosis towards variable speed and imbalanced samples using multiscale dynamic supervised contrast learning. Reliability Engineering & System Safety. 243. 109805–109805. 45 indexed citations
18.
Dong, Yutong, et al.. (2023). Active control strategy for low frequency vibration of space flexible cables based on improved sliding mode controller. Journal of low frequency noise, vibration and active control. 43(1). 476–493.
19.
Dong, Yutong, et al.. (2021). A fuzzy PI controller for piezoelectric fast mirror based on particle swarm optimization. 1751–1756. 3 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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