Mei Mei

1.8k total citations
77 papers, 1.3k citations indexed

About

Mei Mei is a scholar working on Molecular Biology, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Mei Mei has authored 77 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Computational Mechanics and 13 papers in Biomedical Engineering. Recurrent topics in Mei Mei's work include Fluid Dynamics and Mixing (6 papers), Fluid Dynamics and Heat Transfer (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (5 papers). Mei Mei is often cited by papers focused on Fluid Dynamics and Mixing (6 papers), Fluid Dynamics and Heat Transfer (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (5 papers). Mei Mei collaborates with scholars based in China, United States and France. Mei Mei's co-authors include K.K. Bissada, Jingqiang Tan, Gilles Hébrard, Nicolas Dietrich, Zhenxia Du, Shuqin Liu, Ewa Szymczyk, Jianqiang Deng, Kai Liu and Karine Loubière and has published in prestigious journals such as Nature Communications, Journal of Hazardous Materials and Langmuir.

In The Last Decade

Mei Mei

74 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mei Mei China	20	253	224	164	159	159	77	1.3k
Peng Peng China	21	391 1.5×	237 1.1×	30 0.2×	164 1.0×	61 0.4×	423	1.9k
Yuting Guo China	23	525 2.1×	399 1.8×	43 0.3×	93 0.6×	81 0.5×	112	2.2k
Hong Miao China	23	278 1.1×	136 0.6×	24 0.1×	115 0.7×	65 0.4×	128	1.6k
Jü South Korea	18	205 0.8×	96 0.4×	35 0.2×	245 1.5×	49 0.3×	229	1.5k
Wenfeng Wang China	25	190 0.8×	184 0.8×	55 0.3×	104 0.7×	15 0.1×	167	2.3k
Xinyue Yu China	21	323 1.3×	218 1.0×	53 0.3×	28 0.2×	68 0.4×	142	1.3k
Wei Liu China	25	394 1.6×	258 1.2×	28 0.2×	142 0.9×	40 0.3×	240	2.3k
Long Xue China	16	99 0.4×	74 0.3×	97 0.6×	82 0.5×	80 0.5×	90	796
Yongliang Chen China	20	186 0.7×	228 1.0×	72 0.4×	322 2.0×	210 1.3×	135	1.4k

Countries citing papers authored by Mei Mei

Since Specialization

Citations

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

Fields of papers citing papers by Mei Mei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Mei

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

Liu, Lin, et al.. (2025). The mechanism of GA-induced seed dormancy release via MsGAI1-like-miR159a-MsMYB101 module in Magnolia sieboldii. Environmental and Experimental Botany. 234. 106152–106152.

Aubry, Nadine, et al.. (2024). HCP-PIGN: Efficient heat conduction prediction by physics-informed graph convolutional neural network. International Journal of Heat and Fluid Flow. 109. 109552–109552.

Peng, Jiang-Zhou, Yue Hua, Nadine Aubry, et al.. (2024). Data and physics-driven modeling for fluid flow with a physics-informed graph convolutional neural network. Ocean Engineering. 301. 117551–117551. 8 indexed citations

Zhang, Caicai, Mei Mei, Bin Wu, et al.. (2024). On efficient expanding training datasets of breast tumor ultrasound segmentation model. Computers in Biology and Medicine. 183. 109274–109274. 1 indexed citations

Wang, Jiahao, et al.. (2023). Numerical simulation study on two-phase flow of thermal runaway evolution and jet fire of 18650 lithium-ion battery under thermal abuse. Case Studies in Thermal Engineering. 53. 103726–103726. 16 indexed citations

Wang, Yuhong, Bo Pang, Binbin Zhang, et al.. (2023). Lysine methylation promotes NFAT5 activation and determines temozolomide efficacy in glioblastoma. Nature Communications. 14(1). 4062–4062. 14 indexed citations

Yu, Shanshan, et al.. (2023). ESG Performance and Corporate Resilience: An Empirical Analysis Based on the Capital Allocation Efficiency Perspective. Sustainability. 15(23). 16145–16145. 19 indexed citations

Peng, Jiang-Zhou, Nadine Aubry, Yubai Li, et al.. (2023). Physics-informed graph convolutional neural network for modeling geometry-adaptive steady-state natural convection. International Journal of Heat and Mass Transfer. 216. 124593–124593. 27 indexed citations

Mei, Mei, et al.. (2022). Genome-wide identification of the auxin response factor (ARF) gene family in Magnolia sieboldii and functional analysis of MsARF5. Frontiers in Plant Science. 13. 958816–958816. 12 indexed citations

10.

Zhang, Caicai, et al.. (2022). PLDANet: Reasonable Combination of PCA and LDA Convolutional Networks. International Journal of Computers Communications & Control. 17(2). 3 indexed citations

11.

Mei, Mei, et al.. (2020). Experimental research on laser micro-texture friction coefficient of V-clamp Mold. IOP Conference Series Materials Science and Engineering. 892(1). 12114–12114. 2 indexed citations

12.

Xia, Wenxiang, Yizhuo He, Mei Mei, et al.. (2020). A shock tube and modeling study on ignition delay times of pyridine under O2/CO2 atmospheres at elevated pressures. Proceedings of the Combustion Institute. 38(4). 5475–5484. 7 indexed citations

13.

Dietrich, Nicolas, et al.. (2019). Using the “Red Bottle” Experiment for the Visualization and the Fast Characterization of Gas–Liquid Mass Transfer. Journal of Chemical Education. 96(5). 979–984. 9 indexed citations

14.

Mei, Mei, Hong Xu, Libo Wang, et al.. (2019). Current practice and awareness of pediatric off-label drug use in Shanghai, China -a questionnaire-based study. BMC Pediatrics. 19(1). 281–281. 27 indexed citations

15.

Cong, Xin, Yan Zhang, Jing Li, et al.. (2015). Claudin-4 is required for modulation of paracellular permeability by muscarinic acetylcholine receptor in epithelial cells. Journal of Cell Science. 128(12). 2271–2286. 61 indexed citations

16.

Mei, Mei, et al.. (2014). Effect of Treatment with GA3 and Variable Temperature Stratification on Germination and Endogenous Hormones of Magnolia sieboldii Seeds. 34(9). 1828–1835. 4 indexed citations

17.

Li, Yi, Nuo Li, Yongfei Yang, et al.. (2013). Geological features and geodynamic settings of the Mo deposits in the northern segment of the Dabie Mountains. 29(1). 95–106. 8 indexed citations

18.

Wang, Pin, et al.. (2013). Fluid evolution of the Yaochong porphyry Mo deposit, Xinxian County, Henan Province, China. 29(1). 107–120. 3 indexed citations

19.

Zhao, Zhicheng, Yanyun Zhao, Zan Gao, et al.. (2009). BUPT-MCPRL at TRECVID 2009 *. TRECVID. 5 indexed citations

20.

Mei, Mei. (2002). Botanical Study on Early Cretaceous Coal-Bearing Strata in Northeast China and Inner Mongolia, China. 2 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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