Y. Fu

9.4k total citations
16 papers, 37 citations indexed

About

Y. Fu is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Radiation. According to data from OpenAlex, Y. Fu has authored 16 papers receiving a total of 37 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nuclear and High Energy Physics, 3 papers in Computer Networks and Communications and 2 papers in Radiation. Recurrent topics in Y. Fu's work include Particle physics theoretical and experimental studies (8 papers), High-Energy Particle Collisions Research (6 papers) and Quantum Chromodynamics and Particle Interactions (5 papers). Y. Fu is often cited by papers focused on Particle physics theoretical and experimental studies (8 papers), High-Energy Particle Collisions Research (6 papers) and Quantum Chromodynamics and Particle Interactions (5 papers). Y. Fu collaborates with scholars based in China, United States and Hong Kong. Y. Fu's co-authors include C.–P. Yuan, S. Yang, Tie-Jiun Hou, M. Liu, L. Han, Joshua Isaacson, C. Wang, Z. Zhao, Dawn Jutla and Carl R. Schmidt and has published in prestigious journals such as Pattern Recognition, Physical review. D and The European Physical Journal C.

In The Last Decade

Y. Fu

12 papers receiving 37 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Fu China 5 28 3 2 2 2 16 37
P. V. Shanmuganathan United States 2 21 0.8× 4 1.3× 2 1.0× 2 1.0× 3 23
A. Feng China 2 31 1.1× 3 1.0× 4 33
L. Buonincontri Italy 3 19 0.7× 3 1.0× 10 19
Md. Nasim United States 2 30 1.1× 6 2.0× 2 30
D. Urner United Kingdom 3 27 1.0× 2 0.7× 1 0.5× 4 34
A. Ferrari Sweden 3 13 0.5× 3 1.0× 1 0.5× 1 0.5× 12 17
Michael Duehrssen-Debling Germany 2 22 0.8× 2 1.0× 3 1.5× 5 27
B. Stelzer Canada 3 22 0.8× 3 1.5× 3 1.5× 6 22
A. Behera India 3 11 0.4× 2 0.7× 4 14
M. Szuba Poland 4 17 0.6× 2 0.7× 1 0.5× 3 1.5× 14 28

Countries citing papers authored by Y. Fu

Since Specialization
Citations

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

Fields of papers citing papers by Y. Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Fu. A scholar is included among the top collaborators of Y. 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 Y. Fu. Y. 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, Y., et al.. (2025). MPR-net: Medicinal plant recognition network with dual-branch attention fusion. Pattern Recognition. 171. 112185–112185.
2.
Chen, Haiyan, et al.. (2025). Enhancing air traffic complexity assessment through deep metric learning: A CNN-Based approach. Aerospace Science and Technology. 160. 110090–110090. 2 indexed citations
3.
Wong, Wai Keung, Y. Fu, Jie Wen, et al.. (2025). Dual structure-aware consensus graph learning for incomplete multi-view clustering. Pattern Recognition. 165. 111582–111582. 1 indexed citations
4.
Isaacson, Joshua, Y. Fu, & C.–P. Yuan. (2024). resbos2 and the CDF W mass measurement. Physical review. D. 110(9).
6.
Isaacson, Joshua, Y. Fu, & C.–P. Yuan. (2024). Improving resbos for the precision needs of the LHC. Physical review. D. 110(7). 5 indexed citations
7.
Li, Yuan, Y. Fu, Yu Lei, et al.. (2024). Circular Reconfigurable Parallel Processor for Edge Computing : Industrial Product ✶. 863–875. 1 indexed citations
8.
Fu, Y., et al.. (2024). Probing parton distribution functions at large x via Drell-Yan forward-backward asymmetry. Physical review. D. 109(5). 2 indexed citations
9.
Xie, M., S. Yang, Y. Fu, et al.. (2023). Measurement of the proton structure parameters in the forward-backward charge asymmetry. Physical review. D. 107(5). 1 indexed citations
10.
Yang, S., M. Xie, Y. Fu, et al.. (2022). Boost asymmetry of the diboson productions in pp collisions. Physical review. D. 106(5). 4 indexed citations
11.
Yang, S., Y. Fu, M. Liu, et al.. (2022). Factorization of the forward-backward asymmetry and measurements of the weak mixing angle and proton structure at hadron colliders. Physical review. D. 106(3). 4 indexed citations
12.
Yang, S., Y. Fu, M. Liu, et al.. (2022). Reduction of the electroweak correlation in the PDF updating by using the forward–backward asymmetry of Drell–Yan process. The European Physical Journal C. 82(4). 5 indexed citations
13.
Fu, Y., S. Yang, M. Liu, et al.. (2021). Reduction of PDF uncertainty in the measurement of the weak mixing angle at the ATLAS experiment *. Chinese Physics C. 45(5). 53001–53001. 8 indexed citations
14.
Fu, Y., Ye Tian, Youwei Li, et al.. (2019). Performance study of a directional fast neutron detection system based on TPC and plastic scintillation detectors. Journal of Instrumentation. 14(6). P06034–P06034.
15.
Li, Yong, Meng Huang, Juan Li, et al.. (2018). The differentiation between fission fragments and alpha particles by a Time Projection Chamber. Journal of Instrumentation. 13(2). P02014–P02014. 2 indexed citations
16.
Fu, Y., Peter Bodorik, & Dawn Jutla. (2005). A Self-Managed Predicate-Based Cache. 5. 313–318. 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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