Fei Lu

1.5k total citations
62 papers, 872 citations indexed

About

Fei Lu is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Fei Lu has authored 62 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Statistical and Nonlinear Physics and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Fei Lu's work include Statistical Methods and Inference (6 papers), Probabilistic and Robust Engineering Design (5 papers) and Advanced Statistical Methods and Models (5 papers). Fei Lu is often cited by papers focused on Statistical Methods and Inference (6 papers), Probabilistic and Robust Engineering Design (5 papers) and Advanced Statistical Methods and Models (5 papers). Fei Lu collaborates with scholars based in China, United States and Germany. Fei Lu's co-authors include K. Krishnamoorthy, Alexandre J. Chorin, Thomas Mathew, Sui Tang, Mauro Maggioni, Xuemin Tu, Yaozhong Hu, Shengrong Guo, Matthias Morzfeld and W. G. Lynch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Computational Physics and Optics Express.

In The Last Decade

Fei Lu

58 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fei Lu China	16	189	152	121	89	87	62	872
Yi Yu China	15	112 0.6×	294 1.9×	153 1.3×	45 0.5×	307 3.5×	116	1.1k
Christopher Rackauckas United States	13	235 1.2×	40 0.3×	161 1.3×	51 0.6×	54 0.6×	44	1.3k
Fuchang Gao United States	14	40 0.2×	131 0.9×	179 1.5×	28 0.3×	17 0.2×	43	1.1k
F. James Switzerland	9	115 0.6×	48 0.3×	161 1.3×	47 0.5×	226 2.6×	17	1.1k
Jean‐François Bercher France	16	275 1.5×	147 1.0×	173 1.4×	53 0.6×	15 0.2×	64	860
Mark K. Transtrum United States	18	209 1.1×	38 0.3×	125 1.0×	55 0.6×	47 0.5×	93	1.4k
U. von Toussaint Germany	26	71 0.4×	44 0.3×	120 1.0×	55 0.6×	334 3.8×	135	2.1k
André M. C. Souza Brazil	19	786 4.2×	76 0.5×	196 1.6×	16 0.2×	139 1.6×	97	1.6k
D. Anderson Sweden	9	78 0.4×	79 0.5×	117 1.0×	46 0.5×	24 0.3×	11	1.2k
Yurij Holovatch Ukraine	24	578 3.1×	56 0.4×	33 0.3×	73 0.8×	128 1.5×	146	1.8k

Countries citing papers authored by Fei Lu

Since Specialization

Citations

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

Fields of papers citing papers by Fei Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Lu. A scholar is included among the top collaborators of Fei Lu 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 Fei Lu. Fei Lu 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:

20 of 20 papers shown

Lu, Fei, et al.. (2025). An Adaptive RKHS Regularization for the Fredholm Integral Equations. Mathematical Methods in the Applied Sciences. 48(11). 11124–11140.

Lu, Fei, et al.. (2025). Structure information preserving domain adaptation network for fault diagnosis of Sucker Rod Pumping systems. Neural Networks. 188. 107392–107392. 1 indexed citations

Li, Xin, Xiaolong Chen, Furui Liu, et al.. (2024). Open Set Object Detection in Complex Petrochemical Scenes. 35. 1–7. 1 indexed citations

Chen, Jian, et al.. (2024). Cross trust: A decentralized MA-ABE mechanism for cross-border identity authentication. International Journal of Critical Infrastructure Protection. 44. 100661–100661.

Li, Peng, Dongmei Wang, Xia Yuan, et al.. (2024). RHOF activation of AKT/β-catenin signaling pathway drives acute myeloid leukemia progression and chemotherapy resistance. iScience. 27(7). 110221–110221. 2 indexed citations

Lu, Fei, et al.. (2023). Identifiability of interaction kernels in mean-field equations of interacting particles. 5(4). 480–502. 2 indexed citations

Kevrekidis, Yannis, et al.. (2023). Unsupervised learning of observation functions in state space models by nonparametric moment methods. 5(3). 340–365. 1 indexed citations

Lu, Fei, Mauro Maggioni, & Sui Tang. (2021). Learning interaction kernels in heterogeneous systems of agents from multiple trajectories. arXiv (Cornell University). 22(32). 1–67. 18 indexed citations

Lu, Fei, et al.. (2020). GEE analysis in joint mean-covariance model for longitudinal data. Statistics & Probability Letters. 160. 108705–108705. 1 indexed citations

10.

Lu, Fei, et al.. (2020). Data-driven model reduction, Wiener projections, and the Koopman-Mori-Zwanzig formalism. Journal of Computational Physics. 424. 109864–109864. 46 indexed citations

11.

Lu, Fei, et al.. (2019). Joint state-parameter estimation of a nonlinear stochastic energy balance model from sparse noisy data. Nonlinear processes in geophysics. 26(3). 227–250. 2 indexed citations

12.

Lu, Fei, Zhiyong Pang, Jingjing Zhao, et al.. (2017). Angiopep-2-conjugated poly(ethylene glycol)-<em>co</em>-poly(ε-caprolactone) polymersomes for dual-targeting drug delivery to glioma in rats. International Journal of Nanomedicine. Volume 12. 2117–2127. 56 indexed citations

13.

Qian, Jingjing, et al.. (2017). CADM1 mRNA expression and clinicopathological significance in esophageal squamous cell carcinoma tissue. Genetics and Molecular Research. 16(2). 6 indexed citations

14.

Lu, Fei, et al.. (2016). Data-based stochastic model reduction for the Kuramoto–Sivashinsky equation. Physica D Nonlinear Phenomena. 340. 46–57. 40 indexed citations

15.

Wang, Xingjie, et al.. (2014). A randomized controlled clinical trial of formalin for treatment of chronic hemorrhagic radiation proctopathy in cervical carcinoma patients. Supportive Care in Cancer. 23(2). 441–446. 6 indexed citations

16.

Hu, Yaozhong, Fei Lu, & David Nualart. (2013). Convergence of densities of some functionals of Gaussian processes. Journal of Functional Analysis. 266(2). 814–875. 13 indexed citations

17.

Hu, Hui, et al.. (2012). Low-loss optical waveguides and Y-branch splitters in lithium niobate fabricated by MeV oxygen ions with low dose. Optics Express. 20(19). 21114–21114. 15 indexed citations

18.

Lu, Fei, et al.. (2011). Effects of amphiphilic PCL–PEG–PCL copolymer addition on 5-fluorouracil release from biodegradable PCL films for stent application. International Journal of Pharmaceutics. 419(1-2). 77–84. 35 indexed citations

19.

Lei, Lei, et al.. (2011). Stents as a platform for drug delivery. Expert Opinion on Drug Delivery. 8(6). 813–831. 27 indexed citations

20.

Krishnamoorthy, K. & Fei Lu. (2009). A parametric bootstrap solution to the MANOVA under heteroscedasticity. Journal of Statistical Computation and Simulation. 80(8). 873–887. 37 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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