Z. Fu

4.2k total citations
8 papers, 21 citations indexed

About

Z. Fu is a scholar working on Nuclear and High Energy Physics, Radiation and Atmospheric Science. According to data from OpenAlex, Z. Fu has authored 8 papers receiving a total of 21 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nuclear and High Energy Physics, 2 papers in Radiation and 2 papers in Atmospheric Science. Recurrent topics in Z. Fu's work include Neutrino Physics Research (3 papers), Radiation Detection and Scintillator Technologies (2 papers) and Atmospheric Ozone and Climate (2 papers). Z. Fu is often cited by papers focused on Neutrino Physics Research (3 papers), Radiation Detection and Scintillator Technologies (2 papers) and Atmospheric Ozone and Climate (2 papers). Z. Fu collaborates with scholars based in China, Japan and United States. Z. Fu's co-authors include Yayun Ding, Pin‐Wen Huang, Ming Qi, Guohua Chen, Huiying Cao, Jian‐Xin Li, Jie Mao, M. Qi, J Li and A. Li and has published in prestigious journals such as Theoretical Chemistry Accounts, Measurement and Microelectronics Reliability.

In The Last Decade

Z. Fu

7 papers receiving 21 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Z. Fu China	3	16	3	2	1	1	8	21
M. Del Tutto United States	3	14 0.9×	3 1.0×	2 1.0×	1 1.0×		4	14
Y. T. Gu China	3	20 1.3×	3 1.0×	2 1.0×	1 1.0×		9	24
Benda Xu China	3	15 0.9×	4 1.3×	2 1.0×	1 1.0×		11	18
V. D’Andrea Italy	3	14 0.9×	2 0.7×	2 1.0×			9	15
R. Shah United Kingdom	1	19 1.2×	2 0.7×	2 1.0×	1 1.0×		2	19
Kaixiang Ni United States	3	20 1.3×	2 0.7×	2 1.0×			7	20
E. Barbosa de Souza Spain	2	10 0.6×	3 1.0×	2 1.0×	1 1.0×		2	11
I. Lomskaya Russia	2	12 0.8×	2 0.7×	2 1.0×	1 1.0×		5	13
A. Lopez United States	2	12 0.8×	2 0.7×	2 1.0×	1 1.0×		4	13
D. Mayer United States	2	11 0.7×	3 1.0×	3 1.5×	1 1.0×		3	19

Countries citing papers authored by Z. Fu

Since Specialization

Citations

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

Fields of papers citing papers by Z. Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Zhou, Bo, et al.. (2025). Cross-domain fault diagnosis approach for ball screws integrating optimized double decomposition and deep transfer learning. Measurement. 253. 117419–117419. 1 indexed citations

2.

Chen, Guohua, et al.. (2025). Research on thermal error compensation modeling for the machine tool integrated drive system based on energy consumption big data and an optimized bidirectional network. Precision Engineering. 94. 91–112. 1 indexed citations

3.

Chen, Guohua, et al.. (2025). Enhancing Spindle Precision: Thermal Error Modeling with Multi-parameter Optimization and Energy Consumption Data. International Journal of Precision Engineering and Manufacturing. 26(8). 1837–1853. 1 indexed citations

4.

Li, A., Z. Fu, C. Grant, et al.. (2023). KamNet: An integrated spatiotemporal deep neural network for rare event searches in KamLAND-Zen. Physical review. C. 107(1). 2 indexed citations

5.

Liu, Xingye, et al.. (2023). Modelling and analysis of contactless sensor for TSV fault based on resonant inductive coupling. Microelectronics Reliability. 145. 115005–115005.

6.

Abe, S., et al.. (2022). Search for Solar Flare Neutrinos with the KamLAND Detector. BOA (University of Milano-Bicocca). 1 indexed citations

7.

Huang, Pin‐Wen, Huiying Cao, Ming Qi, et al.. (2011). Theoretical study of UV-Vis light absorption of some impurities in alkylbenzene type liquid scintillator solvents. Theoretical Chemistry Accounts. 129(2). 229–234. 5 indexed citations

8.

Huang, Pin‐Wen, et al.. (2010). Study of attenuation length of linear alkyl benzene as LS solvent. Journal of Instrumentation. 5(8). P08007–P08007. 10 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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