Hongya Fu

2.4k total citations · 1 hit paper
94 papers, 1.8k citations indexed

About

Hongya Fu is a scholar working on Mechanical Engineering, Mechanics of Materials and Industrial and Manufacturing Engineering. According to data from OpenAlex, Hongya Fu has authored 94 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Mechanical Engineering, 27 papers in Mechanics of Materials and 24 papers in Industrial and Manufacturing Engineering. Recurrent topics in Hongya Fu's work include Advanced machining processes and optimization (26 papers), Manufacturing Process and Optimization (20 papers) and Mechanical Behavior of Composites (15 papers). Hongya Fu is often cited by papers focused on Advanced machining processes and optimization (26 papers), Manufacturing Process and Optimization (20 papers) and Mechanical Behavior of Composites (15 papers). Hongya Fu collaborates with scholars based in China, United Kingdom and Singapore. Hongya Fu's co-authors include Zhenyu Han, Huawei Qu, Yang Sun, Zhenyu Han, Shouzheng Sun, Hongyu Jin, Hui Ding, Kai Cheng, Shijin Chen and Zhenyu Han and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Small.

In The Last Decade

Hongya Fu

88 papers receiving 1.7k citations

Hit Papers

Biomaterials for bone tissue engineering scaffolds: a review 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongya Fu China 20 737 720 312 280 270 94 1.8k
Tao Lin China 30 555 0.8× 1.7k 2.3× 258 0.8× 332 1.2× 228 0.8× 111 2.5k
Xinhua Yao China 24 941 1.3× 1.2k 1.6× 97 0.3× 263 0.9× 159 0.6× 84 2.4k
Yi Wan China 28 1.4k 1.9× 1.6k 2.2× 201 0.6× 312 1.1× 361 1.3× 201 2.9k
Zhiwei Lin China 23 672 0.9× 902 1.3× 116 0.4× 346 1.2× 90 0.3× 50 1.8k
Irene Buj-Corral Spain 24 769 1.0× 747 1.0× 120 0.4× 265 0.9× 170 0.6× 80 1.6k
I.A. Jones United Kingdom 26 556 0.8× 569 0.8× 326 1.0× 50 0.2× 689 2.6× 110 2.0k
Sikiru Oluwarotimi Ismail United Kingdom 29 730 1.0× 940 1.3× 453 1.5× 121 0.4× 430 1.6× 102 2.4k
Seyed Saeid Rahimian Koloor Malaysia 29 428 0.6× 894 1.2× 306 1.0× 57 0.2× 781 2.9× 133 2.6k
Jozef Živčák Slovakia 19 277 0.4× 408 0.6× 109 0.3× 89 0.3× 70 0.3× 132 1.1k

Countries citing papers authored by Hongya Fu

Since Specialization
Citations

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

Fields of papers citing papers by Hongya Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongya Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongya Fu. A scholar is included among the top collaborators of Hongya 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 Hongya Fu. Hongya 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.
2.
Song, Jianxin, et al.. (2025). Research on digital twin model for milling parameter optimization of thin-walled parts. The International Journal of Advanced Manufacturing Technology. 136(7-8). 3803–3819. 1 indexed citations
3.
Sun, Shouzheng, et al.. (2024). Effect of process parameters on forming quality and flexural strength of continuous fiber reinforced cement-based 3D printed composites. Construction and Building Materials. 438. 137241–137241. 6 indexed citations
4.
Qu, Huawei, Chongjian Gao, Kaizheng Liu, et al.. (2024). Gradient matters via filament diameter-adjustable 3D printing. Nature Communications. 15(1). 2930–2930. 31 indexed citations
5.
Sun, Shouzheng, et al.. (2024). Temperature field characteristics of CF/PEEK thermoplastic composites formed by automated fiber placement using hot gas torch with slit structure nozzle. Chinese Journal of Aeronautics. 37(6). 392–409. 3 indexed citations
6.
Cheng, Jin, et al.. (2024). Isogeometric topology optimization (ITO) of fiber reinforced composite structures considering stress constraint and load uncertainties. Computer Methods in Applied Mechanics and Engineering. 433. 117537–117537. 7 indexed citations
7.
Fu, Hongya, et al.. (2023). Semi-supervised multi-source meta-domain generalization method for tool wear state prediction under varying cutting conditions. Journal of Manufacturing Systems. 71. 323–341. 16 indexed citations
8.
Sun, Shouzheng, et al.. (2023). A chemically modified MWCNT/PEEK multiscale thermoplastic composites: Forming, mechanical performance, and application. Polymer Composites. 46(2). 1090–1105. 3 indexed citations
10.
Han, Zhenyu, et al.. (2022). Path design and compression behavior of 3D printed continuous carbon fiber reinforced composite lattice sandwich structures. Composite Structures. 296. 115893–115893. 21 indexed citations
11.
Sun, Shouzheng, Jiaqi Duan, Hongya Fu, et al.. (2022). Line width prediction and mechanical properties of 3D printed continuous fiber reinforced polypropylene composites. Additive manufacturing. 61. 103372–103372. 37 indexed citations
12.
Han, Zhenyu, et al.. (2022). Chatter detection in milling of thin-walled parts using multi-channel feature fusion and temporal attention-based network. Mechanical Systems and Signal Processing. 179. 109367–109367. 38 indexed citations
13.
Fu, Hongya, et al.. (2022). Intelligent tool wear prediction based on Informer encoder and stacked bidirectional gated recurrent unit. Robotics and Computer-Integrated Manufacturing. 77. 102368–102368. 66 indexed citations
14.
Han, Zhenyu, et al.. (2021). Estimation of vibration stability in milling of thin-walled parts using operational modal analysis. The International Journal of Advanced Manufacturing Technology. 115(4). 1259–1275. 8 indexed citations
15.
Sun, Shouzheng, Zhenyu Han, Hongya Fu, et al.. (2020). Defect Characteristics and Online Detection Techniques During Manufacturing of FRPs Using Automated Fiber Placement: A Review. Polymers. 12(6). 1337–1337. 61 indexed citations
16.
Jiang, Hui, Hongya Fu, Zhenyu Han, & Hongyu Jin. (2020). Elimination of Gear Clearance for the Rotary Table of Ultra Heavy Duty Vertical Milling Lathe Based on Dual Servo Motor Driving System. Applied Sciences. 10(11). 4050–4050. 6 indexed citations
17.
Jin, Hongyu, et al.. (2019). Microstructure design and degradation performance in vitro of three-dimensional printed bioscaffold for bone tissue engineering. Advances in Mechanical Engineering. 11(10). 23 indexed citations
18.
Fu, Hongya. (2011). Comparative Study of Tows Increase or Decrease Methods for Fiber Placement Machine. Acta Aeronautica Et Astronautica Sinica.
19.
Fu, Hongya. (2009). Control system of link simulator for space optical communication. Infrared and Laser Engineering. 2 indexed citations
20.
Fu, Hongya. (2002). Adaptive learning control of cutting parameters for sculptured surface cutting based on genetic algorithms and neural network. Chinese Journal of Mechanical Engineering. 15(2). 145–145. 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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