Chu‐Li Fu

2.7k total citations
100 papers, 2.2k citations indexed

About

Chu‐Li Fu is a scholar working on Mathematical Physics, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, Chu‐Li Fu has authored 100 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Mathematical Physics, 51 papers in Mechanics of Materials and 33 papers in Computational Mechanics. Recurrent topics in Chu‐Li Fu's work include Numerical methods in inverse problems (96 papers), Thermoelastic and Magnetoelastic Phenomena (40 papers) and Advanced Mathematical Modeling in Engineering (24 papers). Chu‐Li Fu is often cited by papers focused on Numerical methods in inverse problems (96 papers), Thermoelastic and Magnetoelastic Phenomena (40 papers) and Advanced Mathematical Modeling in Engineering (24 papers). Chu‐Li Fu collaborates with scholars based in China, Sweden and Germany. Chu‐Li Fu's co-authors include Zhi Qian, Fan Yang, Xiangtuan Xiong, Fenglian Yang, Liang Yan, Xiaoli Feng, Fangfang Dou, Wei Cheng, Yuanxiang Zhang and Xiaoxiao Li and has published in prestigious journals such as Nature Communications, Cancer Research and Journal of Computational Physics.

In The Last Decade

Chu‐Li Fu

100 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chu‐Li Fu China 28 1.9k 1.4k 459 407 342 100 2.2k
Ðinh Nho Hào Vietnam 22 1.2k 0.6× 624 0.5× 492 1.1× 148 0.4× 272 0.8× 86 1.4k
Ulrich Tautenhahn Germany 23 1.2k 0.6× 471 0.3× 330 0.7× 142 0.3× 314 0.9× 44 1.4k
Diego A. Murio United States 19 1.0k 0.5× 713 0.5× 207 0.5× 689 1.7× 251 0.7× 50 1.6k
Leevan Ling Hong Kong 25 437 0.2× 1.6k 1.1× 190 0.4× 439 1.1× 878 2.6× 87 2.2k
Alemdar Hasanov Türkiye 20 856 0.4× 632 0.5× 420 0.9× 99 0.2× 131 0.4× 96 1.2k
R. E. Showalter United States 25 763 0.4× 665 0.5× 1.5k 3.3× 133 0.3× 797 2.3× 83 2.6k
Giovanni Alessandrini Italy 29 2.0k 1.0× 925 0.7× 1.3k 2.8× 25 0.1× 188 0.5× 84 2.6k
W. R. Madych United States 14 206 0.1× 651 0.5× 129 0.3× 148 0.4× 554 1.6× 57 1.4k
Alfred S. Carasso United States 17 455 0.2× 185 0.1× 220 0.5× 49 0.1× 237 0.7× 58 938

Countries citing papers authored by Chu‐Li Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chu‐Li Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chu‐Li Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Chu‐Li Fu. A scholar is included among the top collaborators of Chu‐Li 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 Chu‐Li Fu. Chu‐Li 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.
Zhou, Yang, Partho Sarothi Ray, Jianguo Zhu, et al.. (2024). Systematic analysis of RNA-binding proteins identifies targetable therapeutic vulnerabilities in osteosarcoma. Nature Communications. 15(1). 2810–2810. 5 indexed citations
2.
Zhang, Qiangnu, Chu‐Li Fu, Zuotian Huang, et al.. (2024). CSTF2 Supports Hypoxia Tolerance in Hepatocellular Carcinoma by Enabling m6A Modification Evasion of PGK1 to Enhance Glycolysis. Cancer Research. 85(3). 515–534. 4 indexed citations
3.
Fu, Chu‐Li, et al.. (2015). Wavelets and numerical pseudodifferential operator. Applied Mathematical Modelling. 40(3). 1776–1787. 3 indexed citations
4.
Zhang, Yuanxiang, et al.. (2013). An a posteriori parameter choice rule for the truncation regularization method for solving backward parabolic problems. Journal of Computational and Applied Mathematics. 255. 150–160. 9 indexed citations
5.
Zhang, Yuanxiang, Chu‐Li Fu, & Zhiliang Deng. (2012). An a posteriori truncation method for some Cauchy problems associated with Helmholtz-type equations. Inverse Problems in Science and Engineering. 21(7). 1151–1168. 11 indexed citations
6.
Fu, Chu‐Li, et al.. (2012). An iteration regularization for a time-fractional inverse diffusion problem. Applied Mathematical Modelling. 36(11). 5642–5649. 28 indexed citations
7.
Cheng, Wei & Chu‐Li Fu. (2012). Identifying an unknown source term in a spherically symmetric parabolic equation. Applied Mathematics Letters. 26(4). 387–391. 9 indexed citations
8.
Fu, Chu‐Li, et al.. (2011). Identification of an unknown source depending on both time and space variables by a variational method. Applied Mathematical Modelling. 36(10). 5080–5090. 32 indexed citations
9.
Yang, Fan & Chu‐Li Fu. (2011). The modified regularization method for identifying the unknown source on Poisson equation. Applied Mathematical Modelling. 36(2). 756–763. 18 indexed citations
10.
Fu, Chu‐Li, et al.. (2011). An optimal filtering method for stable analytic continuation. Journal of Computational and Applied Mathematics. 236(9). 2582–2589. 6 indexed citations
11.
Fu, Chu‐Li, et al.. (2011). An optimal filtering method for the Cauchy problem of the Helmholtz equation. Applied Mathematics Letters. 24(6). 958–964. 6 indexed citations
12.
Yang, Fan & Chu‐Li Fu. (2010). A simplified Tikhonov regularization method for determining the heat source. Applied Mathematical Modelling. 34(11). 3286–3299. 56 indexed citations
13.
Yang, Fan & Chu‐Li Fu. (2010). Two regularization methods to identify time-dependent heat source through an internal measurement of temperature. Mathematical and Computer Modelling. 53(5-6). 793–804. 18 indexed citations
14.
Dou, Fangfang, Chu‐Li Fu, & Fenglian Yang. (2009). Optimal error bound and Fourier regularization for identifying an unknown source in the heat equation. Journal of Computational and Applied Mathematics. 230(2). 728–737. 58 indexed citations
15.
Cheng, Wei, Chu‐Li Fu, & Zhi Qian. (2007). Two regularization methods for a spherically symmetric inverse heat conduction problem. Applied Mathematical Modelling. 32(4). 432–442. 25 indexed citations
16.
Fu, Chu‐Li, et al.. (2007). Wavelets and regularization of the Cauchy problem for the Laplace equation. Journal of Mathematical Analysis and Applications. 338(2). 1440–1447. 23 indexed citations
17.
Fu, Chu‐Li, Xiangtuan Xiong, & Zhi Qian. (2006). Fourier regularization for a backward heat equation. Journal of Mathematical Analysis and Applications. 331(1). 472–480. 116 indexed citations
18.
Qian, Zhi, Chu‐Li Fu, & Xiangtuan Xiong. (2005). Fourth-order modified method for the Cauchy problem for the Laplace equation. Journal of Computational and Applied Mathematics. 192(2). 205–218. 58 indexed citations
19.
Fu, Chu‐Li, et al.. (2003). Wavelet regularization with error estimates on a general sideways parabolic equation. Applied Mathematics Letters. 16(4). 475–479. 6 indexed citations
20.
Fu, Chu‐Li, et al.. (2003). Wavelets and regularization of the sideways heat equation. Computers & Mathematics with Applications. 46(5-6). 821–829. 18 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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