Yong Feng

1.7k total citations · 3 hit papers
30 papers, 1.3k citations indexed

About

Yong Feng is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Yong Feng has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 17 papers in Artificial Intelligence and 9 papers in Mechanical Engineering. Recurrent topics in Yong Feng's work include Machine Fault Diagnosis Techniques (17 papers), Anomaly Detection Techniques and Applications (8 papers) and Non-Destructive Testing Techniques (7 papers). Yong Feng is often cited by papers focused on Machine Fault Diagnosis Techniques (17 papers), Anomaly Detection Techniques and Applications (8 papers) and Non-Destructive Testing Techniques (7 papers). Yong Feng collaborates with scholars based in China, Saudi Arabia and Germany. Yong Feng's co-authors include Jinglong Chen, Tianci Zhang, Shuilong He, Zitong Zhou, Haixin Lv, Tongyang Pan, Shen Liu, Enyong Xu, Jingsong Xie and Zijun Liu and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems and Mechanical Systems and Signal Processing.

In The Last Decade

Yong Feng

28 papers receiving 1.2k 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.

Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects

2021 186 citations Yong Feng, Jinglong Chen et al. Knowledge-Based Systems profile →
Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis

2021 184 citations Yong Feng, Jinglong Chen et al. ISA Transactions profile →
Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application

2022 156 citations Haixin Lv, Jinglong Chen et al. Measurement profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yong Feng China	17	938	489	396	241	123	30	1.3k
Haixin Lv China	15	993 1.1×	486 1.0×	404 1.0×	277 1.1×	125 1.0×	19	1.3k
Shen Yan China	12	1.2k 1.2×	532 1.1×	369 0.9×	360 1.5×	130 1.1×	21	1.5k
Yiming Xiao China	13	1.1k 1.2×	577 1.2×	333 0.8×	339 1.4×	114 0.9×	23	1.4k
Jingyao Wu China	11	867 0.9×	435 0.9×	318 0.8×	208 0.9×	126 1.0×	26	1.2k
Ansi Zhang China	15	701 0.7×	390 0.8×	252 0.6×	211 0.9×	86 0.7×	38	1.1k
Funa Zhou China	13	643 0.7×	310 0.6×	268 0.7×	189 0.8×	124 1.0×	64	1.0k
Zheng Zhou China	17	888 0.9×	437 0.9×	204 0.5×	291 1.2×	172 1.4×	45	1.3k
Shulin Liu China	20	730 0.8×	475 1.0×	198 0.5×	271 1.1×	104 0.8×	87	1.2k
Tongyang Pan China	22	1.4k 1.5×	703 1.4×	432 1.1×	370 1.5×	209 1.7×	49	1.8k
Zihao Lei China	15	903 1.0×	513 1.0×	195 0.5×	286 1.2×	100 0.8×	43	1.1k

Countries citing papers authored by Yong Feng

Since Specialization

Citations

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

Fields of papers citing papers by Yong Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Feng

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

Li, Ming, Shuilong He, Jinglong Chen, Yong Feng, & Jinsong Xie. (2025). Label-smoothing dynamic decoupling augmented network for intelligent fault diagnosis under imbalanced data distribution with noisy labels. Measurement. 257. 118664–118664. 1 indexed citations

Feng, Yong, et al.. (2025). Automatic deformation detection of metro tunnels via point cloud segmentation and geometric analysis. Automation in Construction. 181. 106657–106657.

Chen, Jinglong, et al.. (2024). Pseudo-label assisted contrastive learning model for unsupervised open-set domain adaptation in fault diagnosis. Reliability Engineering & System Safety. 254. 110650–110650. 9 indexed citations

Li, Jingyuan, et al.. (2024). Meta-task interpolation-based data augmentation for imbalanced health status recognition of complex equipment. Computers in Industry. 165. 104226–104226. 1 indexed citations

Liu, Shen, et al.. (2024). Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects. Expert Systems with Applications. 255. 124511–124511. 18 indexed citations

Feng, Yong, Chaoxin Zheng, Jinglong Chen, et al.. (2024). Beyond deep features: Fast random wavelet kernel convolution for weak-fault feature extraction of rotating machinery. Mechanical Systems and Signal Processing. 224. 112057–112057. 5 indexed citations

Feng, Yong, Jinglong Chen, Shuilong He, & Enyong Xu. (2023). ABC: Aligning binary centers for single-stage monocular 3D object detection. Image and Vision Computing. 136. 104741–104741. 2 indexed citations

Li, Fudong, Jinglong Chen, Zijun Liu, et al.. (2023). A graph embedded in graph framework with dual-sequence input for efficient anomaly detection of complex equipment under insufficient samples. Reliability Engineering & System Safety. 238. 109418–109418. 10 indexed citations

Chen, Jinglong, et al.. (2022). Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects. Knowledge-Based Systems. 258. 110008–110008. 49 indexed citations

10.

Liu, Zijun, et al.. (2022). Memory-augmented skip-connected autoencoder for unsupervised anomaly detection of rocket engines with multi-source fusion. ISA Transactions. 133. 53–65. 45 indexed citations

11.

Feng, Yong, Jinglong Chen, Zijun Liu, Haixin Lv, & Jun Wang. (2022). Full Graph Autoencoder for One-Class Group Anomaly Detection of IIoT System. IEEE Internet of Things Journal. 9(21). 21886–21898. 44 indexed citations

12.

Chen, Jinglong, et al.. (2022). Contrastive-weighted self-supervised model for long-tailed data classification with vision transformer augmented. Mechanical Systems and Signal Processing. 177. 109174–109174. 45 indexed citations

13.

Chen, Jinglong, et al.. (2022). Multi-expert Attention Network with Unsupervised Aggregation for long-tailed fault diagnosis under speed variation. Knowledge-Based Systems. 252. 109393–109393. 26 indexed citations

14.

Chen, Jinglong, et al.. (2022). Multi-channel Calibrated Transformer with Shifted Windows for few-shot fault diagnosis under sharp speed variation. ISA Transactions. 131. 501–515. 76 indexed citations

15.

Feng, Yong, et al.. (2021). Make the Rocket Intelligent at IoT Edge: Stepwise GAN for Anomaly Detection of LRE With Multisource Fusion. IEEE Internet of Things Journal. 9(4). 3135–3149. 35 indexed citations

16.

Feng, Yong, Jinglong Chen, Tianci Zhang, et al.. (2021). Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis. ISA Transactions. 120. 383–401. 184 indexed citations breakdown →

17.

Feng, Yong, Jinglong Chen, Yuanhong Chang, et al.. (2021). Similarity-based meta-learning network with adversarial domain adaptation for cross-domain fault identification. Knowledge-Based Systems. 217. 106829–106829. 82 indexed citations

18.

Zhang, Kaiyu, Jinglong Chen, Shuilong He, et al.. (2021). Triplet metric driven multi-head GNN augmented with decoupling adversarial learning for intelligent fault diagnosis of machines under varying working condition. Journal of Manufacturing Systems. 62. 1–16. 37 indexed citations

19.

Feng, Yong, Jinglong Chen, Shuilong He, Tongyang Pan, & Zitong Zhou. (2021). Globally Localized Multisource Domain Adaptation for Cross-Domain Fault Diagnosis With Category Shift. IEEE Transactions on Neural Networks and Learning Systems. 34(6). 3082–3096. 56 indexed citations

20.

Feng, Yong, Tiezhu Li, & Shangbo Zhou. (2014). Multi-focus Image Fusion using an Improved Differential Evolution Algorithm and Adaptive Block Mechanism. Applied Mathematics & Information Sciences. 8(5). 2395–2403. 1 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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