Jieyun Bai

1.3k total citations · 1 hit paper
66 papers, 745 citations indexed

About

Jieyun Bai is a scholar working on Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Jieyun Bai has authored 66 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cardiology and Cardiovascular Medicine, 14 papers in Pediatrics, Perinatology and Child Health and 12 papers in Molecular Biology. Recurrent topics in Jieyun Bai's work include Cardiac electrophysiology and arrhythmias (26 papers), Atrial Fibrillation Management and Outcomes (12 papers) and Cardiac Arrhythmias and Treatments (12 papers). Jieyun Bai is often cited by papers focused on Cardiac electrophysiology and arrhythmias (26 papers), Atrial Fibrillation Management and Outcomes (12 papers) and Cardiac Arrhythmias and Treatments (12 papers). Jieyun Bai collaborates with scholars based in China, New Zealand and United Kingdom. Jieyun Bai's co-authors include Yaosheng Lu, Shun Long, Henggui Zhang, Jichao Zhao, Mujun Liu, Huijun Wang, Wanmin Lian, Kuanquan Wang, Renli Yin and Vadim V. Fedorov and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Jieyun Bai

58 papers receiving 738 citations

Hit Papers

Routes to molecular glue degrader discovery 2025 2026 2025 5 10 15
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Routes to molecular glue degrader discovery
    2025 16 citations Jieyun Bai et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jieyun Bai China 15 237 211 134 70 62 66 745
Keyang Chen China 18 71 0.3× 246 1.2× 26 0.2× 47 0.7× 30 0.5× 49 919
Yongrui Zhang China 14 56 0.2× 50 0.2× 13 0.1× 94 1.3× 23 0.4× 38 614
Tingli Wang China 17 48 0.2× 107 0.5× 16 0.1× 21 0.3× 32 0.5× 62 764
Xiancheng Liu China 16 44 0.2× 360 1.7× 9 0.1× 101 1.4× 48 0.8× 52 842
Ruijian Li China 17 66 0.3× 95 0.5× 15 0.1× 55 0.8× 85 1.4× 46 727
Ghulam M. Chaudhry United States 13 421 1.8× 162 0.8× 10 0.1× 44 0.6× 92 1.5× 60 976
Keqiang Liu China 16 52 0.2× 171 0.8× 13 0.1× 39 0.6× 106 1.7× 53 663
Xue Lu China 14 15 0.1× 100 0.5× 40 0.3× 94 1.3× 129 2.1× 43 897
Chuan Chen China 12 24 0.1× 101 0.5× 42 0.3× 228 3.3× 59 1.0× 52 696
Wentao Shi China 17 73 0.3× 171 0.8× 9 0.1× 66 0.9× 27 0.4× 53 781

Countries citing papers authored by Jieyun Bai

Since Specialization
Citations

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

Fields of papers citing papers by Jieyun Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jieyun Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Jieyun Bai. A scholar is included among the top collaborators of Jieyun Bai 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 Jieyun Bai. Jieyun Bai 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
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Shi, Xiaowei, Chao Deng, Hengcong Tao, et al.. (2025). Amorphization‐Induced d‐Orbital Rearrangement in Ultrathin CoO Nanosheets with Strong d‐p Interactions for Efficient CO2 Photoreduction. Advanced Materials. 37(38). e2508492–e2508492. 4 indexed citations
3.
4.
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
5.
Long, Shun, et al.. (2024). Fetal Head and Pubic Symphysis Segmentation in Intrapartum Ultrasound Image Using a Dual-Path Boundary-Guided Residual Network. IEEE Journal of Biomedical and Health Informatics. 28(8). 4648–4659. 4 indexed citations
6.
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
7.
Bai, Jieyun, et al.. (2024). Segment Anything Model for fetal head-pubic symphysis segmentation in intrapartum ultrasound image analysis. Expert Systems with Applications. 263. 125699–125699. 3 indexed citations
8.
Chen, Gaowen, et al.. (2024). PSFHS: Intrapartum ultrasound image dataset for AI-based segmentation of pubic symphysis and fetal head. Scientific Data. 11(1). 436–436. 7 indexed citations
9.
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
10.
11.
Yin, Renli, et al.. (2023). Atomic cation-vacancy modulated peroxymonosulfate nonradical oxidation of sulfamethoxazole via high-valent iron-oxo species. Applied Catalysis B: Environmental. 330. 122640–122640. 65 indexed citations
12.
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
13.
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
14.
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
15.
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
16.
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
17.
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
18.
Bai, Jieyun, et al.. (2019). PITX2 Overexpression Leads to Atrial Electrical Remodeling Linked to Atrial Fibrillation. Computing in Cardiology Conference. 2 indexed citations
19.
Wang, Kuanquan, et al.. (2019). Influence of the distribution of fibrosis within an area of myocardial infarction on wave propagation in ventricular tissue. Scientific Reports. 9(1). 14151–14151. 13 indexed citations
20.
Bai, Jieyun. (2016). Potential Pathogenesis Discovery of Arrhythmia Based on Cardiac Electrophysiological Models:Research Progress. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 7 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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