Yunfei Lu

553 total citations
23 papers, 431 citations indexed

About

Yunfei Lu is a scholar working on Molecular Biology, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Yunfei Lu has authored 23 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Sociology and Political Science and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Yunfei Lu's work include Cancer, Hypoxia, and Metabolism (5 papers), Complex Network Analysis Techniques (5 papers) and Cancer Research and Treatments (4 papers). Yunfei Lu is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Complex Network Analysis Techniques (5 papers) and Cancer Research and Treatments (4 papers). Yunfei Lu collaborates with scholars based in China, United States and France. Yunfei Lu's co-authors include Philippe Icard, Laurent Poulain, Xiaodong Zhang, Xiaodong Zhang, Stéphane Allouche, Haitian Zhang, Kazuhito Tomizawa, Jiao Lan, Hideki Matsui and Akiyoshi Moriwaki and has published in prestigious journals such as Annals of Neurology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Yunfei Lu

23 papers receiving 427 citations

Peers

Yunfei Lu

PRM

SURGE

Sadatsugu Sakane Japan

Zhen Cao China

S. Kataoka Japan

Ryan A. Miller United States

Anders Riutta United States

Mark Christie United Kingdom

Olga Krakovska Canada

Daniel Martín United States

Jianpeng Chen China

Christopher W. Szeto United States

Sadatsugu Sakane Japan

Yunfei Lu

255 ×1.4

84 ×0.7

43 ×0.6

PRM

81 ×2.1

SURGE

11 ×0.3

Citations per year, relative to Yunfei Lu Yunfei Lu (= 1×) peers Sadatsugu Sakane

Countries citing papers authored by Yunfei Lu

Since Specialization

Citations

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

Fields of papers citing papers by Yunfei Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunfei Lu

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

All Works

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20 of 20 papers shown

Wang, Zhi, Jianguo Liu, Bo Xu, et al.. (2025). Effects of long-term biochar addition on the wheat-rotated rice grain yield and the fate of N fertilizer in plant-soil system—A combined 15N study. European Journal of Agronomy. 168. 127645–127645. 2 indexed citations

Yang, Kun, et al.. (2024). Proteomic Mendelian randomization to identify protein biomarkers of telomere length. Scientific Reports. 14(1). 21594–21594. 3 indexed citations

Lu, Yunfei, et al.. (2024). Boosting adversarial example detection via local histogram equalization and spectral feature analysis. The Visual Computer. 41(8). 5477–5494. 1 indexed citations

Lu, Yunfei, et al.. (2022). Uncovering the Heterogeneous Effects of Preference Diversity on User Activeness: A Dynamic Mixture Model. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 3458–3467. 2 indexed citations

Gou, Shuiping, et al.. (2021). Automatic segmentation and grading of ankylosing spondylitis on MR images via lightweight hybrid multi-scale convolutional neural network with reinforcement learning. Physics in Medicine and Biology. 66(20). 205002–205002. 5 indexed citations

Han, Qing, Yunfei Lu, Jie Han, et al.. (2021). Automatic quantification and grading of hip bone marrow oedema in ankylosing spondylitis based on deep learning. Modern Rheumatology. 32(5). 968–973. 13 indexed citations

Pan, Qing, Lingwei Zhang, Jie Pan, et al.. (2021). An interpretable 1D convolutional neural network for detecting patient-ventilator asynchrony in mechanical ventilation. Computer Methods and Programs in Biomedicine. 204. 106057–106057. 32 indexed citations

Lu, Yunfei, Ningtao Liu, Jiawei Chen, et al.. (2020). CT-TEE Image Registration for Surgical Navigation of Congenital Heart Disease Based on a Cycle Adversarial Network. Computational and Mathematical Methods in Medicine. 2020. 1–8. 8 indexed citations

Zhang, Lingwei, Siqi Fang, Yunfei Lu, et al.. (2020). Detection of patient-ventilator asynchrony from mechanical ventilation waveforms using a two-layer long short-term memory neural network. Computers in Biology and Medicine. 120. 103721–103721. 46 indexed citations

10.

Yang, Biao, Yiming Zhou, Lei Tian, & Yunfei Lu. (2020). Octreotide Reduces Pancreatic Islet Apoptosis and Improves Islet Transplantation Efficiency In Vitro and In Vivo. Journal of Biomedical Nanotechnology. 16(7). 1082–1101. 2 indexed citations

11.

Lu, Yunfei, Tianyang Zhang, Chengxi Zang, et al.. (2020). Exploring the collective human behavior in cascading systems: a comprehensive framework. Knowledge and Information Systems. 62(12). 4599–4623. 5 indexed citations

12.

Lu, Yunfei, Tianyang Zhang, Chengxi Zang, et al.. (2018). Collective Human Behavior in Cascading System: Discovery, Modeling and Applications. 297–306. 7 indexed citations

13.

Guo, Xingyu, et al.. (2017). Combined 18F-FDGï¿½PET/CT imaging and a gastric orthotopic xenograft model in nude mice are used to evaluate the efficacy of glycolysis-targeted therapy. Oncology Reports. 39(1). 271–279. 9 indexed citations

14.

Cui, Peng, Christos Faloutsos, Yunfei Lu, et al.. (2017). comeNgo. ACM Transactions on Knowledge Discovery from Data. 11(4). 1–22. 4 indexed citations

15.

Guo, Xingyu, et al.. (2016). 3-Bromopyruvate and sodium citrate induce apoptosis in human gastric cancer cell line MGC-803 by inhibiting glycolysis and promoting mitochondria-regulated apoptosis pathway. Biochemical and Biophysical Research Communications. 475(1). 37–43. 33 indexed citations

16.

Wang, Yan, Yunfei Lu, Wei Sun, et al.. (2015). Involvement of Rac1 signalling pathway in the development and maintenance of acute inflammatory pain induced by bee venom injection. British Journal of Pharmacology. 173(5). 937–950. 14 indexed citations

17.

Cao, Wei, et al.. (2014). Inhibitory Effects of 3-Bromopyruvate on Human Gastric Cancer Implant Tumors in Nude Mice. Asian Pacific Journal of Cancer Prevention. 15(7). 3175–3178. 6 indexed citations

18.

Zhang, Xiaodong, et al.. (2009). Effect of citrate on malignant pleural mesothelioma cells: a synergistic effect with cisplatin.. PubMed. 29(4). 1249–54. 64 indexed citations

19.

Li, Sheng‐Tian, Masayuki Matsushita, Akiyoshi Moriwaki, et al.. (2004). HIV‐1 inhibits long‐term potentiation and attenuates spatial learning. Annals of Neurology. 55(3). 362–371. 47 indexed citations

20.

Matsushita, Masayuki, Yunfei Lu, Sheng‐Tian Li, et al.. (2003). Inhibition of excitatory neuronal cell death by cell‐permeable calcineurin autoinhibitory peptide. Journal of Neurochemistry. 87(5). 1145–1151. 32 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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