Weifang Sun

1.6k total citations
63 papers, 1.2k citations indexed

About

Weifang Sun is a scholar working on Mechanical Engineering, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Weifang Sun has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Mechanical Engineering, 28 papers in Control and Systems Engineering and 20 papers in Electrical and Electronic Engineering. Recurrent topics in Weifang Sun's work include Machine Fault Diagnosis Techniques (21 papers), Advanced machining processes and optimization (20 papers) and Advanced Machining and Optimization Techniques (14 papers). Weifang Sun is often cited by papers focused on Machine Fault Diagnosis Techniques (21 papers), Advanced machining processes and optimization (20 papers) and Advanced Machining and Optimization Techniques (14 papers). Weifang Sun collaborates with scholars based in China, India and United States. Weifang Sun's co-authors include Yuqing Zhou, Bintao Sun, Jiawei Xiang, Binqiang Chen, Xincheng Cao, Bin Yao, Nianyin Zeng, Wangpeng He, Anil Kumar and Wei Feng and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Weifang Sun

61 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weifang Sun China 20 744 431 348 267 173 63 1.2k
Jianmin Zhu China 15 567 0.8× 396 0.9× 207 0.6× 225 0.8× 86 0.5× 56 974
Dongdong Kong China 15 769 1.0× 173 0.4× 452 1.3× 262 1.0× 97 0.6× 30 1.1k
Dengyu Xiao China 21 523 0.7× 539 1.3× 166 0.5× 112 0.4× 237 1.4× 47 1.3k
Binqiang Chen China 15 613 0.8× 706 1.6× 167 0.5× 116 0.4× 293 1.7× 30 1.6k
Wangpeng He China 18 972 1.3× 740 1.7× 163 0.5× 118 0.4× 336 1.9× 58 1.9k
Binqiang Chen China 21 768 1.0× 1000 2.3× 160 0.5× 99 0.4× 361 2.1× 55 1.6k
Beibei Sun China 22 658 0.9× 721 1.7× 136 0.4× 100 0.4× 285 1.6× 77 1.4k
Zechao Wang China 13 255 0.3× 273 0.6× 223 0.6× 59 0.2× 242 1.4× 26 995
George Panoutsos United Kingdom 17 488 0.7× 124 0.3× 125 0.4× 144 0.5× 86 0.5× 86 1.1k
Shing Shin Cheng Hong Kong 19 368 0.5× 482 1.1× 159 0.5× 58 0.2× 92 0.5× 69 1.6k

Countries citing papers authored by Weifang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Weifang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weifang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Weifang Sun. A scholar is included among the top collaborators of Weifang Sun 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 Weifang Sun. Weifang Sun 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.
Hei, Z. K., Weifang Sun, Haiyang Yang, et al.. (2025). Novel domain-adaptive Wasserstein generative adversarial networks for early bearing fault diagnosis under various conditions. Reliability Engineering & System Safety. 257. 110847–110847. 15 indexed citations
2.
Sun, Weifang, et al.. (2025). A novel STRSC-UNet image denoising method for computer vision enhanced RFID multi-tag measurement and localization. Measurement Science and Technology. 36(5). 56125–56125.
3.
Hei, Z. K., Haiyang Yang, Weifang Sun, et al.. (2024). Multiscale Conditional Adversarial Networks based domain-adaptive method for rotating machinery fault diagnosis under variable working conditions. ISA Transactions. 154. 352–370. 7 indexed citations
4.
Liu, Yi, et al.. (2024). Ensemble difference mode decomposition based on transmission path elimination technology for rotating machinery fault diagnosis. Mechanical Systems and Signal Processing. 212. 111330–111330. 14 indexed citations
5.
Guo, Jianchun, et al.. (2024). A simulation-driven difference mode decomposition method for fault diagnosis in axial piston pumps. Advanced Engineering Informatics. 62. 102624–102624. 5 indexed citations
6.
Zhou, Yuqing, et al.. (2024). Texture feature similarity-based roughness intelligent evaluation: a case study applied to milled surfaces. Surface Topography Metrology and Properties. 12(2). 25004–25004. 1 indexed citations
7.
8.
Wang, Zewei, et al.. (2023). A Time-Series Driven Mechanical System State Description Method and Its Application in Condition Monitoring. IEEE Sensors Journal. 23(9). 9677–9684. 4 indexed citations
9.
Zhou, Yuqing, et al.. (2023). Semi-Supervised Multiscale Permutation Entropy-Enhanced Contrastive Learning for Fault Diagnosis of Rotating Machinery. IEEE Transactions on Instrumentation and Measurement. 72. 1–10. 37 indexed citations
10.
Liu, Yi, et al.. (2023). Differgram: A convex optimization-based method for extracting optimal frequency band for fault diagnosis of rotating machinery. Expert Systems with Applications. 245. 123051–123051. 11 indexed citations
11.
Zhou, Yuqing, et al.. (2023). A Hybrid Method for Identifying the Spring Energy Storage State of Operating Mechanism in Circuit Breakers. IEEE Transactions on Instrumentation and Measurement. 72. 1–9. 4 indexed citations
12.
Zhou, Yuqing, et al.. (2023). Time-frequency Representation -enhanced Transfer Learning for Tool Condition Monitoring during milling of Inconel 718. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 25(2). 7 indexed citations
13.
Ren, Yan, et al.. (2022). A New Multisensor Information Fusion Technique Using Processed Images: Algorithms and Application on Hydraulic Components. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 25 indexed citations
14.
Sun, Weifang, Yuqing Zhou, Jiawei Xiang, Binqiang Chen, & Wei Feng. (2021). Hankel Matrix-Based Condition Monitoring of Rolling Element Bearings: An Enhanced Framework for Time-Series Analysis. IEEE Transactions on Instrumentation and Measurement. 70. 1–10. 15 indexed citations
15.
Sun, Bintao, et al.. (2021). Sample Augmentation for Intelligent Milling Tool Wear Condition Monitoring Using Numerical Simulation and Generative Adversarial Network. IEEE Transactions on Instrumentation and Measurement. 70. 1–10. 48 indexed citations
16.
Sun, Weifang, et al.. (2021). An edge-labeling graph neural network method for tool wear condition monitoring using wear image with small samples. Measurement Science and Technology. 32(6). 64006–64006. 26 indexed citations
17.
Sun, Weifang, et al.. (2021). Adaptive Sparse Detector for Suppressing Powerline Component in EEG Measurements. Frontiers in Public Health. 9. 669190–669190. 4 indexed citations
18.
Sun, Weifang, et al.. (2019). Detection and analysis of Enterocytozoon hepatopenaei (EHP), Vibrio parahaemolyticus acute hepatopancreatic necrosis disease (VPAHPND) and shrimp hemocyte iridescent virus (SHIV) from Litopenaeus vannamei in coastal areas of Guangdong Province. Nanfang nongye xuebao. 50(10). 2343–2349. 3 indexed citations
19.
Sun, Weifang, et al.. (2010). Color image segmentation based on JSEG and watershed methods. Computer Engineering and Applications Journal. 46(21). 185–187. 3 indexed citations
20.
Sun, Weifang. (2007). SELF-ADAPTIVE WAVELET NEURAL NETWORK FOR RECOGNIZING AND PREDICATING OUTBURST OF COAL AND GAS. Chinese journal of rock mechanics and engineering. 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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