M.W. Fu

15.3k total citations · 3 hit papers
380 papers, 11.5k citations indexed

About

M.W. Fu is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, M.W. Fu has authored 380 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 293 papers in Mechanical Engineering, 208 papers in Mechanics of Materials and 184 papers in Materials Chemistry. Recurrent topics in M.W. Fu's work include Metallurgy and Material Forming (169 papers), Metal Forming Simulation Techniques (133 papers) and Microstructure and mechanical properties (114 papers). M.W. Fu is often cited by papers focused on Metallurgy and Material Forming (169 papers), Metal Forming Simulation Techniques (133 papers) and Microstructure and mechanical properties (114 papers). M.W. Fu collaborates with scholars based in Hong Kong, China and Singapore. M.W. Fu's co-authors include W.L. Chan, Heng Li, Jian Lü, Yongquan Ning, Xu Song, Jin Fu, Chaoyang Sun, Mei Zhan, San‐Qiang Shi and Zhutian Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

M.W. Fu

360 papers receiving 11.3k citations

Hit Papers

Ductile fracture: Experim... 2010 2026 2015 2020 2010 2022 2023 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M.W. Fu 9.2k 6.1k 5.8k 1.5k 1.2k 380 11.5k
A. Erman Tekkaya 11.6k 1.3× 7.1k 1.2× 4.0k 0.7× 1.4k 0.9× 1.8k 1.6× 556 13.4k
Jianguo Lin 8.4k 0.9× 5.7k 0.9× 4.9k 0.9× 3.4k 2.3× 662 0.6× 440 10.6k
L. A. Dobrzański 5.1k 0.6× 2.4k 0.4× 3.6k 0.6× 937 0.6× 1.0k 0.9× 736 8.4k
Lin Hua 6.5k 0.7× 3.7k 0.6× 3.0k 0.5× 812 0.6× 601 0.5× 420 8.1k
Marion Merklein 7.5k 0.8× 4.6k 0.8× 2.4k 0.4× 728 0.5× 836 0.7× 562 8.5k
Stefania Bruschi 5.9k 0.6× 3.0k 0.5× 2.5k 0.4× 534 0.4× 884 0.8× 286 6.6k
Fu‐Zhen Xuan 7.6k 0.8× 6.4k 1.1× 3.3k 0.6× 1.1k 0.7× 2.5k 2.2× 626 13.0k
Mario Guagliano 7.2k 0.8× 2.8k 0.5× 3.3k 0.6× 1.9k 1.3× 505 0.4× 242 9.0k
Guozheng Kang 8.5k 0.9× 6.5k 1.1× 6.3k 1.1× 1.0k 0.7× 1.4k 1.2× 506 14.4k
W.J. Cantwell 7.7k 0.8× 8.3k 1.4× 2.7k 0.5× 349 0.2× 1.0k 0.9× 377 14.1k

Countries citing papers authored by M.W. Fu

Since Specialization
Citations

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

Fields of papers citing papers by M.W. Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.W. Fu

This figure shows the co-authorship network connecting the top 25 collaborators of M.W. Fu. A scholar is included among the top collaborators of M.W. 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 M.W. Fu. M.W. Fu 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.
Ma, Jun, Xuefeng Tang, Yong Hou, et al.. (2025). Defects in metal-forming: Formation mechanism, prediction and avoidance. International Journal of Machine Tools and Manufacture. 207. 104268–104268. 9 indexed citations
2.
Tang, Xuefeng, Xinyun Wang, Feifei Hu, et al.. (2025). A novel online sensing approach for monitoring micro-defect and damage mode during the plastic deformation of metal matrix composites: Experiment and crystal plasticity analysis. Journal of Materials Processing Technology. 338. 118788–118788. 4 indexed citations
3.
Gao, Pengfei, et al.. (2025). Multiscale modeling of the damage and fracture behaviours of TA15 titanium alloy with trimodal microstructure. International Journal of Plasticity. 185. 104238–104238. 7 indexed citations
4.
Chen, Yen‐Yu, Hong Li, Chih‐Jung Lin, et al.. (2025). Sugar-based block copolymer/carbon nanotube nanocomposites for thermoelectric applications. Chemical Engineering Journal. 523. 168612–168612.
5.
Li, Kai-Shang, Xuelin Lei, Tiwen Lu, et al.. (2025). Fatigue damage mechanism and life prediction of cold expanded holes. International Journal of Mechanical Sciences. 303. 110622–110622.
6.
Cai, Wang, et al.. (2025). Modeling plastic deformation of TWIP steel using cohesive zone and crystal plasticity finite element. Materials & Design. 252. 113785–113785. 1 indexed citations
7.
Chen, Cheng, Hezhen Wang, Lili Xu, et al.. (2024). MAPK signaling pathway induced LOX-1+ polymorphonuclear myeloid-derived suppressor cells in biliary atresia. Clinical Immunology. 268. 110355–110355. 1 indexed citations
8.
Wang, Jianying, Hailin Yang, & M.W. Fu. (2024). An additively manufactured heat-resistant Al-12Si alloy via introducing stable eutectic engineering. Additive manufacturing. 95. 104523–104523. 3 indexed citations
10.
Yu, Dong, et al.. (2024). DCD-Net: Weakly supervised decomposition learning for real-world image dehazing. Signal Processing. 230. 109826–109826. 2 indexed citations
11.
12.
Ma, Jun, M.W. Fu, Stefania Bruschi, & Heng Li. (2024). Towards high-performance, efficient and sustainable material processing technologies for aerospace applications. Chinese Journal of Aeronautics. 38(1). 103311–103311.
13.
Yang, Heng, et al.. (2024). Study of the mechanism of the strength-ductility synergy of α-Ti at cryogenic temperature via experiment and atomistic simulation. International Journal of Plasticity. 177. 103971–103971. 18 indexed citations
14.
Wang, Xinrui, et al.. (2023). A Mouse Model of Chronic Liver Fibrosis for the Study of Biliary Atresia. Journal of Visualized Experiments. 3 indexed citations
15.
Gao, Pengfei, et al.. (2023). Microstructure- and damage-nucleation-based crystal plasticity finite element modeling for the nucleation of multi-type voids during plastic deformation of Al alloys. International Journal of Plasticity. 165. 103609–103609. 51 indexed citations
16.
Li, Heng, L.F. Peng, Bao Meng, et al.. (2023). Energy field assisted metal forming: Current status, challenges and prospects. International Journal of Machine Tools and Manufacture. 192. 104075–104075. 58 indexed citations
17.
Shang, Xiaoqing, M.W. Fu, Haiming Zhang, et al.. (2023). Unraveling the transformation of ductile damage mechanisms of void evolution and strain localization based on deformation heterogeneity. International Journal of Plasticity. 171. 103785–103785. 17 indexed citations
18.
Fu, Jin, Junhao Ding, Lei Zhang, et al.. (2023). Development of conformal shell lattices via laser powder bed fusion and unraveling their mechanical responses via modeling and experiments. Additive manufacturing. 62. 103406–103406. 21 indexed citations
19.
Liu, Yanhui, Yongquan Ning, Zekun Yao, et al.. (2016). Dynamic recrystallization and microstructure evolution of a powder metallurgy nickel-based superalloy under hot working. Journal of materials research/Pratt's guide to venture capital sources. 31(14). 2164–2172. 18 indexed citations
20.
Li, Miaoquan, et al.. (2010). Thermomechanical coupling simulation and experimental study in the isothermal ECAP processing of Ti‐6Al‐4V alloy. Rare Metals. 29(6). 613–620. 8 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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