Chunmei Lu

707 total citations
37 papers, 449 citations indexed

About

Chunmei Lu is a scholar working on Pediatrics, Perinatology and Child Health, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Chunmei Lu has authored 37 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pediatrics, Perinatology and Child Health, 6 papers in Cognitive Neuroscience and 6 papers in Biomedical Engineering. Recurrent topics in Chunmei Lu's work include Neonatal and fetal brain pathology (10 papers), EEG and Brain-Computer Interfaces (5 papers) and Infant Health and Development (4 papers). Chunmei Lu is often cited by papers focused on Neonatal and fetal brain pathology (10 papers), EEG and Brain-Computer Interfaces (5 papers) and Infant Health and Development (4 papers). Chunmei Lu collaborates with scholars based in China, United States and Netherlands. Chunmei Lu's co-authors include Nicola Ferrier, Laishuan Wang, Wei Chen, Saadullah Farooq Abbasi, Bin Yin, Saeed Akbarzadeh, Xi Long, Laishuan Wang, Qing Liu and Hao Yuan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of the Acoustical Society of America and Critical Care Medicine.

In The Last Decade

Chunmei Lu

36 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunmei Lu China 12 111 94 92 90 57 37 449
Laishuan Wang China 12 92 0.8× 87 0.9× 117 1.3× 29 0.3× 24 0.4× 32 356
Cristian Rotariu Romania 12 211 1.9× 38 0.4× 106 1.2× 113 1.3× 22 0.4× 82 561
Ghada Zamzmi United States 16 67 0.6× 181 1.9× 54 0.6× 92 1.0× 127 2.2× 54 649
Fabienne Porée France 10 77 0.7× 81 0.9× 96 1.0× 41 0.5× 20 0.4× 33 293
Adson Ferreira da Rocha Brazil 14 382 3.4× 30 0.3× 120 1.3× 66 0.7× 23 0.4× 96 773
Stefan Gradl Germany 13 199 1.8× 28 0.3× 123 1.3× 57 0.6× 23 0.4× 30 520
Mark J. Polak United States 13 27 0.2× 88 0.9× 171 1.9× 81 0.9× 37 0.6× 47 825
M. B. Malarvili Malaysia 14 345 3.1× 62 0.7× 187 2.0× 15 0.2× 26 0.5× 74 815
Faezeh Marzbanrad Australia 17 324 2.9× 157 1.7× 158 1.7× 27 0.3× 48 0.8× 63 854
Alexandru Păsărică Romania 11 109 1.0× 33 0.4× 90 1.0× 63 0.7× 10 0.2× 48 362

Countries citing papers authored by Chunmei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chunmei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunmei Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Chunmei Lu. A scholar is included among the top collaborators of Chunmei 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 Chunmei Lu. Chunmei 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.
Wang, Hailong, Murad Muhammad, Chunmei Lu, et al.. (2025). Modulation of soil microenvironment and plant gene expression by earthworms reduces polypropylene microplastic-induced growth stress in Chinese milk vetch (Astragalus sinicus L.). Environmental Chemistry and Ecotoxicology. 7. 2080–2093. 1 indexed citations
2.
Wang, Xiaoming, Murad Muhammad, Xiu Chen, et al.. (2025). Enhancing chrysanthemum rooting: The role of Stenotrophomonas pavanii KC 98 in physiological and microbial dynamics. Scientia Horticulturae. 347. 114197–114197.
3.
Chen, Hongyu, Chunmei Lu, Shaoxue Pan, et al.. (2024). A Smart Wearable Device Using Graphene Material‐Based Sensor for Neonatal Respiration Monitoring. Journal of Sensors. 2024(1). 2 indexed citations
4.
Muhammad, Murad, Xiu Chen, Hailong Wang, et al.. (2024). Trichoderma harzianum promoting chrysanthemum cutting rooting and reshaping microbial communities in endophytic and rhizosphere environments. Applied Soil Ecology. 203. 105636–105636. 3 indexed citations
5.
Yan, Kai, Feifan Xiao, Peng Zhang, et al.. (2024). Brain development in newborns and infants after ECMO. World Journal of Pediatrics. 20(6). 556–568. 11 indexed citations
6.
Wang, Jing, Ning Liu, Peng Zhang, et al.. (2023). Association between continuous glucose profile during therapeutic hypothermia and unfavorable outcome in neonates with hypoxic-ischemic encephalopathy209 23-32. Early Human Development. 187. 105878–105878. 4 indexed citations
7.
Ren, Haoran, Xinyu Jiang, Long Meng, et al.. (2022). fNIRS-Based Dynamic Functional Connectivity Reveals the Innate Musical Sensing Brain Networks in Preterm Infants. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 1806–1816. 7 indexed citations
8.
Awais, Muhammad, Xi Long, Bin Yin, et al.. (2021). A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video. IEEE Journal of Biomedical and Health Informatics. 25(5). 1441–1449. 38 indexed citations
9.
Chen, Hongyu, Wei Chen, Chunmei Lu, et al.. (2020). Design of an Integrated Wearable Multi-Sensor Platform Based on Flexible Materials for Neonatal Monitoring. IEEE Access. 8. 23732–23747. 39 indexed citations
10.
Abbasi, Saadullah Farooq, Jawad Ahmad, Ahsen Tahir, et al.. (2020). EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network. IEEE Access. 8. 183025–183034. 52 indexed citations
11.
Awais, Muhammad, Chen Chen, Xi Long, et al.. (2020). Novel Framework: Face Feature Selection Algorithm for Neonatal Facial and Related Attributes Recognition. IEEE Access. 8. 59100–59113. 15 indexed citations
12.
13.
Ren, Haoran, Xinyu Jiang, Ke Xu, et al.. (2019). Evaluation of the Effects of Mozart Music on Cerebral Hemodynamics in Preterm Infants. 1–4. 1 indexed citations
14.
Lu, Chunmei, Xiaoli Ji, Ling Ma, et al.. (2019). Generation of two induced pluripotent stem cell (iPSC) lines from human breast milk using episomal reprogramming system. Stem Cell Research. 39. 101511–101511. 4 indexed citations
15.
Wang, Laishuan, et al.. (2019). An Investigation into Audio Features and DTW Algorithms for Infant Cry Classification. TU/e Research Portal. 54–59. 3 indexed citations
16.
Zhang, Yuxia, et al.. (2018). Interpretation of Evidence-based Guideline: Berastfeeding of Neonates in the Hospital: in-hospital management. Zhonghua xiandai huli zazhi. 24(30). 3597–3602. 2 indexed citations
17.
Chien, Wei-Chih, Yu‐Yu Lin, Erh-Kun Lai, et al.. (2010). A Novel Ni/WOx/W ReRAM with Excellent Retention and Low Switching Current. 2 indexed citations
18.
Chien, Wei-Chih, Erh-Kun Lai, Yu‐Yu Lin, et al.. (2009). High-Speed Multilevel Resistive RAM using RTO WO<sub>X</sub>. 8 indexed citations
19.
Lu, Chunmei & Nicola Ferrier. (2004). A Digital Video System for the Automated Measurement of Repetitive Joint Motion. IEEE Transactions on Information Technology in Biomedicine. 8(3). 399–404. 4 indexed citations
20.
Lu, Chunmei & Nicola Ferrier. (2004). Repetitive motion analysis: segmentation and event classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(2). 258–263. 59 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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