Mingrui Fu

471 total citations
21 papers, 344 citations indexed

About

Mingrui Fu is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mingrui Fu has authored 21 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanical Engineering, 6 papers in Industrial and Manufacturing Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mingrui Fu's work include Non-Destructive Testing Techniques (8 papers), Industrial Vision Systems and Defect Detection (6 papers) and Welding Techniques and Residual Stresses (5 papers). Mingrui Fu is often cited by papers focused on Non-Destructive Testing Techniques (8 papers), Industrial Vision Systems and Defect Detection (6 papers) and Welding Techniques and Residual Stresses (5 papers). Mingrui Fu collaborates with scholars based in China, Australia and Mexico. Mingrui Fu's co-authors include Jinhai Liu, Senxiang Lu, Fengyuan Zuo, Lei Wang, Fuming Qu, Huaguang Zhang, Chen Liu, Feilong Liu, Jian Feng and Zhaolin Chen and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Sensors.

In The Last Decade

Mingrui Fu

18 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingrui Fu China	9	181	79	70	67	53	21	344
Lei Su China	10	110 0.6×	41 0.5×	80 1.1×	89 1.3×	86 1.6×	22	320
Jinhyun Park South Korea	10	243 1.3×	66 0.8×	44 0.6×	185 2.8×	41 0.8×	33	439
Patrick E. Leser United States	11	171 0.9×	102 1.3×	54 0.8×	172 2.6×	22 0.4×	28	415
Pakorn Kaewtrakulpong Thailand	9	126 0.7×	65 0.8×	22 0.3×	62 0.9×	67 1.3×	30	363
Minh Thi Tran Vietnam	14	229 1.3×	190 2.4×	30 0.4×	98 1.5×	136 2.6×	23	458
Graeme West United Kingdom	10	63 0.3×	54 0.7×	36 0.5×	29 0.4×	73 1.4×	62	300
Jean Louis Duval France	10	169 0.9×	83 1.1×	57 0.8×	143 2.1×	53 1.0×	31	487
Jie Hou China	12	153 0.8×	185 2.3×	24 0.3×	114 1.7×	101 1.9×	31	516
Xiaoyuan Liu China	11	99 0.5×	87 1.1×	46 0.7×	43 0.6×	191 3.6×	24	401

Countries citing papers authored by Mingrui Fu

Since Specialization

Citations

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

Fields of papers citing papers by Mingrui Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingrui Fu

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

All Works

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20 of 20 papers shown

Zuo, Fengyuan, et al.. (2025). An end-to-end intelligent welding defect detection system for low-quality X-ray images with adaptive progressive learning. Expert Systems with Applications. 279. 127428–127428. 1 indexed citations

Fu, Mingrui, et al.. (2025). A Simplified Adaptive Fuzzy Min–Max Neural Network for pattern classification. Neurocomputing. 630. 129668–129668.

Zuo, Fengyuan, Jinhai Liu, Zhaolin Chen, et al.. (2024). Multilevel Fine-Grained Features-Based General Framework for Object Detection. IEEE Transactions on Cybernetics. 54(11). 6921–6933. 12 indexed citations

Zuo, Fengyuan, et al.. (2024). An X-Ray-Based Multiexpert Inspection Method for Automatic Welding Defect Assessment in Intelligent Pipeline Systems. IEEE/ASME Transactions on Mechatronics. 30(3). 1753–1764. 19 indexed citations

Liu, Xiaoyuan, et al.. (2024). A Novel Industrial Defect Recognition Method Under Label Noise Based on Parallel Hybrid Penalty Network. IEEE Transactions on Automation Science and Engineering. 22. 9584–9597.

Zuo, Fengyuan, Jinhai Liu, Zhaolin Chen, Mingrui Fu, & Lei Wang. (2024). TGADHead: An efficient and accurate task-guided attention-decoupled head for single-stage object detection. Knowledge-Based Systems. 302. 112349–112349. 4 indexed citations

Zuo, Fengyuan, et al.. (2024). STMA-Net: A Spatial Transformation-Based Multiscale Attention Network for Complex Defect Detection With X-Ray Images. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 25 indexed citations

Zuo, Fengyuan, et al.. (2024). An Efficient Anchor-Free Defect Detector With Dynamic Receptive Field and Task Alignment. IEEE Transactions on Industrial Informatics. 20(6). 8536–8547. 16 indexed citations

Zuo, Fengyuan, et al.. (2023). An Effective Detection Method for Complex Weld Defects Based on Adaptive Feature Pyramid. 1–5. 5 indexed citations

10.

Zuo, Fengyuan, Jinhai Liu, Lei Wang, Fuming Qu, & Mingrui Fu. (2022). Active Learning-Based Complex Pipeline Weld Defect Detection with Lightweight Neural Network. 712–717. 5 indexed citations

11.

Sun, Jiayue, Huaguang Zhang, Yingchun Wang, & Mingrui Fu. (2021). Optimal tracking control of switched systems applied in grid-connected hybrid generation using reinforcement learning. Neural Computing and Applications. 33(15). 9363–9374. 7 indexed citations

12.

Zhu, Ying, et al.. (2021). Research on Temperature Modeling and Compensation Technology of I/F Conversion Circuit. 15. 133–137.

13.

Fu, Mingrui, et al.. (2020). Anomaly Detection of Complex MFL Measurements Using Low-Rank Recovery in Pipeline Transportation Inspection. IEEE Transactions on Instrumentation and Measurement. 69(9). 6776–6786. 26 indexed citations

14.

Liu, Jili, et al.. (2020). Consideration of Thermo-Vacuum Stability of a MEMS Gyroscope for Space Applications. Sensors. 20(24). 7172–7172. 5 indexed citations

15.

Fu, Mingrui, Jinhai Liu, Huaguang Zhang, & Senxiang Lu. (2020). Multisensor Fusion for Magnetic Flux Leakage Defect Characterization Under Information Incompletion. IEEE Transactions on Industrial Electronics. 68(5). 4382–4392. 50 indexed citations

16.

Qu, Fuming, et al.. (2020). A novel wind turbine data imputation method with multiple optimizations based on GANs. Mechanical Systems and Signal Processing. 139. 106610–106610. 58 indexed citations

17.

Liu, Jinhai, et al.. (2019). A leak detection method for oil pipeline based on markov feature and two-stage decision scheme. Measurement. 138. 433–445. 55 indexed citations

18.

Pan, Guangliang, Yu Chang, & Mingrui Fu. (2018). Computational Fluid Dynamics Analysis of Shroud Design on Hemodynamic Performance and Blood Damage in a Centrifugal Blood Pump. Computer Modeling in Engineering & Sciences. 116(2). 199–213. 7 indexed citations

19.

Liu, Jinhai, et al.. (2017). Window Feature-Based Two-Stage Defect Identification Using Magnetic Flux Leakage Measurements. IEEE Transactions on Instrumentation and Measurement. 67(1). 12–23. 43 indexed citations

20.

Liu, Jinhai, et al.. (2017). Discrimination and compensation of abnormal values of magnetic flux leakage in oil pipeline based on BP neural network. 27. 3714–3718. 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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