Lulu Lu

2.7k total citations · 1 hit paper
77 papers, 2.3k citations indexed

About

Lulu Lu is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Lulu Lu has authored 77 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 27 papers in Statistical and Nonlinear Physics and 15 papers in Computer Networks and Communications. Recurrent topics in Lulu Lu's work include Neural dynamics and brain function (29 papers), stochastic dynamics and bifurcation (27 papers) and Nonlinear Dynamics and Pattern Formation (14 papers). Lulu Lu is often cited by papers focused on Neural dynamics and brain function (29 papers), stochastic dynamics and bifurcation (27 papers) and Nonlinear Dynamics and Pattern Formation (14 papers). Lulu Lu collaborates with scholars based in China, United States and Poland. Lulu Lu's co-authors include Ya Jia, Mengyan Ge, Ying Xu, Lijian Yang, Delong Liu, Zhibo Han, Yongxin Lu, Zhenshu Xu, Yong-Jun Liu and Qinjun Zhao and has published in prestigious journals such as Journal of Applied Physics, The Science of The Total Environment and Journal of Neurophysiology.

In The Last Decade

Lulu Lu

75 papers receiving 2.2k citations

Hit Papers

Isolation and characterization of human umbilical cord me... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lulu Lu China 25 802 721 521 451 363 77 2.3k
Xiufang Zhang China 34 218 0.3× 209 0.3× 76 0.1× 120 0.3× 739 2.0× 132 3.2k
Stephan Rohr Switzerland 34 104 0.1× 193 0.3× 28 0.1× 78 0.2× 1.8k 5.0× 71 4.4k
Gunjan Agarwal United States 27 172 0.2× 28 0.0× 51 0.1× 36 0.1× 753 2.1× 87 3.3k
Michael Schirner Germany 35 23 0.0× 729 1.0× 92 0.2× 22 0.0× 1.6k 4.5× 101 4.2k
Yating Zhu China 22 44 0.1× 94 0.1× 23 0.0× 76 0.2× 97 0.3× 91 2.1k
Wei Du China 20 79 0.1× 13 0.0× 62 0.1× 200 0.4× 257 0.7× 125 1.9k
Narine Sarvazyan United States 24 64 0.1× 39 0.1× 38 0.1× 87 0.2× 654 1.8× 71 2.1k
Yan Chen China 33 16 0.0× 202 0.3× 83 0.2× 18 0.0× 790 2.2× 181 3.1k
Bin Lou China 32 13 0.0× 301 0.4× 28 0.1× 14 0.0× 471 1.3× 113 3.1k

Countries citing papers authored by Lulu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Lulu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lulu Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Lulu Lu. A scholar is included among the top collaborators of Lulu 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 Lulu Lu. Lulu Lu 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.
Lu, Lulu, et al.. (2024). Amino acids-mediated transport of nitenpyram through saturated soil porous media: Combined roles of amino acid types and soil properties. Journal of Molecular Liquids. 410. 125661–125661. 1 indexed citations
2.
Lu, Lulu, et al.. (2024). Enhanced homogeneity and flexibility in a humidity sensor using cellulose nanocrystal-based composite film with circular shear flow. International Journal of Biological Macromolecules. 263(Pt 1). 130293–130293. 4 indexed citations
3.
Wang, Lili, et al.. (2024). Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma From Multi-Sequence Magnetic Resonance Imaging Based on Deep Fusion Representation Learning. IEEE Journal of Biomedical and Health Informatics. 29(5). 3259–3271. 1 indexed citations
4.
Wu, Yan, et al.. (2024). Enhancing weak signal propagation by intra- and inter-layer global couplings in a feedforward network. Chaos Solitons & Fractals. 181. 114566–114566. 4 indexed citations
5.
Wen, Guangdong, et al.. (2024). Alternations in the human skin, gut and vaginal microbiomes in perimenopausal or postmenopausal Vulvar lichen sclerosus. Scientific Reports. 14(1). 8429–8429. 3 indexed citations
6.
Liu, Xiaoqian, Lulu Lu, Yuan Zhu, & Ming Yi. (2023). Energy-efficiency computing of up and down transitions in a neural network. Journal of Neurophysiology. 129(3). 581–590. 1 indexed citations
7.
Wu, Liqing, et al.. (2023). Random fluctuations and synaptic plasticity enhance working memory activities in the neuron–astrocyte network. Cognitive Neurodynamics. 18(2). 503–518. 3 indexed citations
9.
Yu, Dong, Lulu Lu, Guowei Wang, Lijian Yang, & Ya Jia. (2021). Synchronization mode transition induced by bounded noise in multiple time-delays coupled FitzHugh–Nagumo model. Chaos Solitons & Fractals. 147. 111000–111000. 56 indexed citations
10.
Lu, Lulu, et al.. (2020). Development of erianin-loaded dendritic mesoporous silica nanospheres with pro-apoptotic effects and enhanced topical delivery. Journal of Nanobiotechnology. 18(1). 55–55. 27 indexed citations
11.
Tian, Shan, Gangwen Han, Lulu Lu, & Xiangyu Meng. (2020). Circ-FOXM1 contributes to cell proliferation, invasion, and glycolysis and represses apoptosis in melanoma by regulating miR-143-3p/FLOT2 axis. World Journal of Surgical Oncology. 18(1). 56–56. 21 indexed citations
13.
Liu, Hongzhu, et al.. (2019). Influence of Varied Fluorine Contents on Long-Term Storage Stability of Polyacrylate Nanoparticles and Film Properties. Journal of Nanomaterials. 2019. 1–9. 10 indexed citations
14.
Ji, Chunhui, Zhiming Wu, Lulu Lu, et al.. (2018). High thermochromic performance of Fe/Mg co-doped VO2 thin films for smart window applications. Journal of Materials Chemistry C. 6(24). 6502–6509. 82 indexed citations
15.
Lu, Lulu, et al.. (2018). Effects of temperature and electromagnetic induction on action potential of Hodgkin–Huxley model. The European Physical Journal Special Topics. 227(7-9). 767–776. 26 indexed citations
16.
Lu, Lulu, et al.. (2017). Calycosin promotes lifespan in Caenorhabditis elegans through insulin signaling pathway via daf-16 , age-1 and daf-2. Journal of Bioscience and Bioengineering. 124(1). 1–7. 32 indexed citations
17.
Pradipta, Ambara R., Miao Li, Xuan Zhao, et al.. (2017). Cinchonine induces apoptosis of HeLa and A549 cells through targeting TRAF6. Journal of Experimental & Clinical Cancer Research. 36(1). 35–35. 34 indexed citations
18.
Wan, Dong, et al.. (2016). Degradation of p-Nitrophenol using magnetic Fe0/Fe3O4/Coke composite as a heterogeneous Fenton-like catalyst. The Science of The Total Environment. 574. 1326–1334. 63 indexed citations
19.
Lu, Lulu, Wenbing Li, Guanghua Wang, et al.. (2016). Synthesis and characterization of biomimetic Fe3O4/coke magnetic nanoparticles composite material. Journal of Wuhan University of Technology-Mater Sci Ed. 31(2). 254–259. 5 indexed citations
20.
Zhang, Jiaolong, Lulu Lu, & Lijun Zhou. (2015). Oleanolic acid activates daf-16 to increase lifespan in Caenorhabditis elegans. Biochemical and Biophysical Research Communications. 468(4). 843–849. 43 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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