Yaosheng Lu

823 total citations
47 papers, 486 citations indexed

About

Yaosheng Lu is a scholar working on Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Yaosheng Lu has authored 47 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pediatrics, Perinatology and Child Health, 18 papers in Cardiology and Cardiovascular Medicine and 12 papers in Biomedical Engineering. Recurrent topics in Yaosheng Lu's work include Neonatal and fetal brain pathology (17 papers), Cardiac electrophysiology and arrhythmias (10 papers) and Non-Invasive Vital Sign Monitoring (10 papers). Yaosheng Lu is often cited by papers focused on Neonatal and fetal brain pathology (17 papers), Cardiac electrophysiology and arrhythmias (10 papers) and Non-Invasive Vital Sign Monitoring (10 papers). Yaosheng Lu collaborates with scholars based in China, New Zealand and United Kingdom. Yaosheng Lu's co-authors include Jieyun Bai, Shun Long, Yao‐Xiong Huang, Mujun Liu, Wanmin Lian, Henggui Zhang, Jichao Zhao, Shouyi Wei, Huijun Wang and Chuan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Yaosheng Lu

43 papers receiving 474 citations

Peers

Yaosheng Lu

PPCH

CCM

PRM

Muhammad Naufal Rachmatullah Indonesia

Annisa Darmawahyuni Indonesia

Yan Chai Hum Malaysia

Mustafa Elattar Egypt

Ahmed Salih United Kingdom

Alfredo Illanes Germany

Christian Payer Austria

Phillip Chlap Australia

Harshita Sharma United Kingdom

Gabriel Mistelbauer Austria

Muhammad Naufal Rachmatullah Indonesia

Yaosheng Lu

76 ×0.5

PPCH

377 ×3.1

CCM

126 ×1.4

106 ×1.4

PRM

115 ×1.5

Citations per year, relative to Yaosheng Lu Yaosheng Lu (= 1×) peers Muhammad Naufal Rachmatullah

Countries citing papers authored by Yaosheng Lu

Since Specialization

Citations

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

Fields of papers citing papers by Yaosheng Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaosheng Lu

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

Lu, Yaosheng, et al.. (2024). ETCNN: An ensemble transformer-convolutional neural network for automatic analysis of fetal heart rate. Biomedical Signal Processing and Control. 96. 106629–106629. 3 indexed citations

Bai, Jieyun, Zhide Chen, Yaosheng Lu, et al.. (2024). RTSeg-net: A lightweight network for real-time segmentation of fetal head and pubic symphysis from intrapartum ultrasound images. Computers in Biology and Medicine. 175. 108501–108501. 11 indexed citations

Bai, Jieyun, et al.. (2024). A multimodal model in the prediction of the delivery mode using data from a digital twin-empowered labor monitoring system. Digital Health. 10. 599948646–599948646. 2 indexed citations

Lu, Yaosheng, et al.. (2023). Direction-guided and multi-scale feature screening for fetal head–pubic symphysis segmentation and angle of progression calculation. Expert Systems with Applications. 245. 123096–123096. 8 indexed citations

Liu, Mujun, et al.. (2023). Baseline/acceleration/deceleration determination of fetal heart rate signals using a novel ensemble LCResU-Net. Expert Systems with Applications. 218. 119610–119610. 9 indexed citations

Wang, Chuan, et al.. (2023). The segmentation effect of style transfer on fetal head ultrasound image: a study of multi-source data. Medical & Biological Engineering & Computing. 61(5). 1017–1031. 9 indexed citations

Bai, Jieyun, et al.. (2023). Comparison of fetal heart rate baseline estimation by the cardiotocograph network and clinicians: a multidatabase retrospective assessment study. Frontiers in Cardiovascular Medicine. 10. 1059211–1059211. 4 indexed citations

Lu, Yaosheng, et al.. (2023). A hybrid attentional guidance network for tumors segmentation of breast ultrasound images. International Journal of Computer Assisted Radiology and Surgery. 18(8). 1489–1500. 5 indexed citations

Lu, Yaosheng, Huijun Wang, Di Qiu, et al.. (2022). The JNU-IFM dataset for segmenting pubic symphysis-fetal head. Data in Brief. 41. 107904–107904. 19 indexed citations

10.

Lu, Yaosheng, et al.. (2022). Multitask Deep Neural Network for the Fully Automatic Measurement of the Angle of Progression. Computational and Mathematical Methods in Medicine. 2022. 1–14. 11 indexed citations

11.

Wang, Chuan, et al.. (2022). Prediction of Delivery Mode from Fetal Heart Rate and Electronic Medical Records Using Machine Learning. Computing in cardiology. 49. 2 indexed citations

12.

Bai, Jieyun, et al.. (2021). In Silico Assessment of Class I Antiarrhythmic Drug Effects on Pitx2-Induced Atrial Fibrillation: Insights from Populations of Electrophysiological Models of Human Atrial Cells and Tissues. International Journal of Molecular Sciences. 22(3). 1265–1265. 12 indexed citations

13.

Lu, Yaosheng, et al.. (2021). Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier. Computers in Biology and Medicine. 130. 104218–104218. 40 indexed citations

14.

Bai, Jieyun, Yaosheng Lu, & Henggui Zhang. (2020). In silico study of the effects of anti-arrhythmic drug treatment on sinoatrial node function for patients with atrial fibrillation. Scientific Reports. 10(1). 305–305. 17 indexed citations

15.

Lu, Yaosheng, et al.. (2020). Geometric Calibration of Freehand Ultrasound System with Electromagnetic Tracking. Academic Journal of Computing & Information Science. 3(3). 3 indexed citations

16.

Bai, Jieyun, et al.. (2019). PITX2 Overexpression Leads to Atrial Electrical Remodeling Linked to Atrial Fibrillation. Computing in Cardiology Conference. 2 indexed citations

17.

Bai, Jieyun, et al.. (2019). In Silico Investigation of the CACNA1C N2091S Mutation in Timothy Syndrome. Computing in Cardiology Conference. 1–4.

18.

Bai, Jieyun, et al.. (2019). Proarrhythmia in the p.Met207Val PITX2c-Linked Familial Atrial Fibrillation-Insights From Modeling. Frontiers in Physiology. 10. 1314–1314. 13 indexed citations

19.

Yang, Ziduo, et al.. (2017). ESTIMATION OF INTRAUTERINE PRESSURE FROM ELECTROHYSTEROGRAPHY USING HILBERT PHASE SLIPS AND STATISTICS METHOD. Journal of Mechanics in Medicine and Biology. 17(6). 1750089–1750089. 2 indexed citations

20.

Lu, Yaosheng, Xiaodong Li, Shouyi Wei, & Xiaolei Liu. (2014). Fetal heart rate baseline estimation with analysis of fetal movement signal. Bio-Medical Materials and Engineering. 24(6). 3763–3769. 8 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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