Tianyu Fu

556 total citations
16 papers, 239 citations indexed

About

Tianyu Fu is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tianyu Fu has authored 16 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Industrial and Manufacturing Engineering, 7 papers in Control and Systems Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tianyu Fu's work include Robot Manipulation and Learning (7 papers), Industrial Vision Systems and Defect Detection (6 papers) and Manufacturing Process and Optimization (4 papers). Tianyu Fu is often cited by papers focused on Robot Manipulation and Learning (7 papers), Industrial Vision Systems and Defect Detection (6 papers) and Manufacturing Process and Optimization (4 papers). Tianyu Fu collaborates with scholars based in China, United States and Taiwan. Tianyu Fu's co-authors include Shifeng Zhang, Xiaobo Wang, Shuo Wang, Tao Mei, Hailin Shi, Yunxiao Qin, Feng Zhou, Zhen Lei, Xiangyu Zhu and Jingping Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Sensors.

In The Last Decade

Tianyu Fu

13 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianyu Fu China 6 178 136 29 28 23 16 239
Ankan Bansal United States 5 212 1.2× 99 0.7× 38 1.3× 6 0.2× 7 0.3× 6 279
Adilson Gonzaga Brazil 8 164 0.9× 50 0.4× 48 1.7× 12 0.4× 4 0.2× 48 286
Jingxiao Zheng United States 6 221 1.2× 96 0.7× 25 0.9× 4 0.1× 9 0.4× 11 270
Yanxiang Chen China 9 99 0.6× 50 0.4× 19 0.7× 6 0.2× 7 0.3× 16 169
Lingyu Wang Singapore 6 184 1.0× 296 2.2× 13 0.4× 6 0.2× 8 0.3× 9 372
Mandi Luo China 8 189 1.1× 108 0.8× 48 1.7× 4 0.1× 10 0.4× 13 259
Ishan R. Dave India 8 183 1.0× 45 0.3× 70 2.4× 40 1.4× 2 0.1× 10 231
Xiaohu Shao China 6 282 1.6× 124 0.9× 30 1.0× 4 0.1× 4 0.2× 17 336
Wenchao Zhang China 11 283 1.6× 52 0.4× 51 1.8× 9 0.3× 6 0.3× 24 337
M. Hamouz United Kingdom 8 302 1.7× 123 0.9× 36 1.2× 3 0.1× 7 0.3× 16 363

Countries citing papers authored by Tianyu Fu

Since Specialization
Citations

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

Fields of papers citing papers by Tianyu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyu Fu

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

All Works

16 of 16 papers shown
1.
Fu, Tianyu, et al.. (2024). A robotic skill transfer learning framework of dynamic manipulation for fabric placement. Computers in Industry. 165. 104216–104216.
2.
3.
Huang, Su, Tianyu Fu, Xiaowei Han, et al.. (2024). Domain base dynamic convolution and distance map guidance for anterior mediastinal lesion segmentation. Knowledge-Based Systems. 296. 111881–111881. 1 indexed citations
4.
Fu, Tianyu, et al.. (2024). Design and Implementation of Fabric Wrinkle Detection System Based on YOLOv5 Algorithm. 3. 5–5. 1 indexed citations
5.
Fu, Tianyu, et al.. (2024). Research on robot sewing method based on process modeling. International Journal of Intelligent Robotics and Applications. 8(2). 401–421. 2 indexed citations
6.
7.
Fu, Tianyu, et al.. (2023). Research on Robot Screwing Skill Method Based on Demonstration Learning. Sensors. 24(1). 21–21. 1 indexed citations
8.
Fu, Tianyu, et al.. (2023). Human-Robot Deformation Manipulation Skill Transfer: Sequential Fabric Unfolding Method For Robots. IEEE Robotics and Automation Letters. 8(12). 8454–8461. 1 indexed citations
9.
Fu, Tianyu, et al.. (2023). FPC-BTB detection and positioning system based on optimized YOLOv5. SHILAP Revista de lepidopterología. 3(4). 100132–100132. 2 indexed citations
10.
Song, Rui, et al.. (2022). Fast Recognition of Snap-Fit for Industrial Robot Using a Recurrent Neural Network. IEEE Robotics and Automation Letters. 8(3). 1635–1642. 7 indexed citations
11.
Men, Yu, et al.. (2022). Deep Deterministic Policy Gradient with Reward Function Based on Fuzzy Logic for Robotic Peg-in-Hole Assembly Tasks. Applied Sciences. 12(6). 3181–3181. 6 indexed citations
12.
Fu, Tianyu, Federico Monaco, Jizhou Li, et al.. (2022). Deep‐Learning‐Enabled Crack Detection and Analysis in Commercial Lithium‐Ion Battery Cathodes (Adv. Funct. Mater. 39/2022). Advanced Functional Materials. 32(39). 6 indexed citations
13.
Qin, Yunxiao, Chenxu Zhao, Xiangyu Zhu, et al.. (2021). Learning meta model for zero- and few-shot face anti-spoofing. University of Oulu Repository (University of Oulu). 75 indexed citations
14.
Song, Rui, Fengming Li, Tianyu Fu, & Jie Zhao. (2020). A Robotic Automatic Assembly System Based on Vision. Applied Sciences. 10(3). 1157–1157. 20 indexed citations
15.
Wang, Xiaobo, Shifeng Zhang, Shuo Wang, et al.. (2020). Mis-Classified Vector Guided Softmax Loss for Face Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12241–12248. 113 indexed citations
16.
Fu, Tianyu, Fengming Li, Yukun Zheng, et al.. (2019). Dynamically Grasping with Incomplete Information Workpiece Based on Machine Vision. 502–507. 4 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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