Rencheng Song

3.6k total citations · 1 hit paper
95 papers, 2.5k citations indexed

About

Rencheng Song is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience. According to data from OpenAlex, Rencheng Song has authored 95 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Biomedical Engineering, 26 papers in Cardiology and Cardiovascular Medicine and 25 papers in Cognitive Neuroscience. Recurrent topics in Rencheng Song's work include EEG and Brain-Computer Interfaces (25 papers), Non-Invasive Vital Sign Monitoring (24 papers) and Microwave Imaging and Scattering Analysis (22 papers). Rencheng Song is often cited by papers focused on EEG and Brain-Computer Interfaces (25 papers), Non-Invasive Vital Sign Monitoring (24 papers) and Microwave Imaging and Scattering Analysis (22 papers). Rencheng Song collaborates with scholars based in China, Singapore and Macao. Rencheng Song's co-authors include Xun Chen, Chang Li, Juan Cheng, Yü Liu, Feng Wan, Kuiwen Xu, Xudong Chen, Ruobing Qian, Xiuzhu Ye and Xiang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and The Journal of the Acoustical Society of America.

In The Last Decade

Rencheng Song

87 papers receiving 2.5k citations

Hit Papers

EEG-Based Emotion Recogni... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rencheng Song China 25 1.2k 976 725 660 219 95 2.5k
Helge B. D. Sørensen Denmark 31 1.9k 1.6× 464 0.5× 620 0.9× 350 0.5× 85 0.4× 190 3.2k
Yangsong Zhang China 32 2.3k 1.9× 313 0.3× 377 0.5× 254 0.4× 261 1.2× 100 3.1k
Aydın Akan Türkiye 25 1.0k 0.8× 480 0.5× 430 0.6× 460 0.7× 185 0.8× 249 2.5k
Yu Song China 25 606 0.5× 484 0.5× 513 0.7× 118 0.2× 164 0.7× 131 2.1k
Stéphane Bonnet France 20 1.4k 1.1× 392 0.4× 242 0.3× 222 0.3× 272 1.2× 78 2.2k
Sazali Yaacob Malaysia 27 726 0.6× 286 0.3× 834 1.2× 348 0.5× 123 0.6× 150 2.4k
Nidal Kamel Malaysia 22 1.2k 1.0× 196 0.2× 338 0.5× 330 0.5× 158 0.7× 183 2.4k
David Looney United Kingdom 23 1.3k 1.0× 385 0.4× 157 0.2× 297 0.5× 171 0.8× 51 2.1k
Lijun Yin United States 33 631 0.5× 443 0.5× 2.1k 2.9× 265 0.4× 572 2.6× 149 5.3k
John J. Soraghan United Kingdom 33 428 0.3× 752 0.8× 67 0.1× 243 0.4× 99 0.5× 304 3.8k

Countries citing papers authored by Rencheng Song

Since Specialization
Citations

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

Fields of papers citing papers by Rencheng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rencheng Song

This figure shows the co-authorship network connecting the top 25 collaborators of Rencheng Song. A scholar is included among the top collaborators of Rencheng Song 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 Rencheng Song. Rencheng Song 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.
Xia, Haojie, Wenhao Chen, Jin Zhang, et al.. (2025). Measurement uncertainty evaluation with small samples: A review and prospect. Measurement. 258. 119031–119031.
2.
Li, Yimeng, et al.. (2025). Inverse design of the membrane reactors enabled by an inverse-forward physics-informed learning framework. Chemical Engineering Science. 316. 121910–121910. 1 indexed citations
3.
Li, Chang, et al.. (2024). Uncertainty-guided Fourier-based domain generalization for seizure prediction. Expert Systems with Applications. 268. 126286–126286. 1 indexed citations
4.
Song, Rencheng, et al.. (2024). Video-based deception detection using wrapper-based feature selection. 1–5. 2 indexed citations
5.
Wang, Jing, et al.. (2024). Inhomogeneous Media Inverse Scattering Problem Assisted by Swin Transformer Network. IEEE Transactions on Microwave Theory and Techniques. 72(12). 6809–6820. 1 indexed citations
6.
Chen, Yawei, et al.. (2024). Predicting Arterial Stiffness From Single-Channel Photoplethysmography Signal: A Feature Interaction-Based Approach. IEEE Journal of Biomedical and Health Informatics. 28(7). 3928–3941. 3 indexed citations
7.
Yang, Xuezhi, et al.. (2024). Heart Rate Estimation in Driver Monitoring System Using Quality-Guided Spectrum Peak Screening. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 5 indexed citations
8.
Yang, Xuezhi, et al.. (2024). Preserving shape details of pulse signals for video-based blood pressure estimation. Biomedical Optics Express. 15(4). 2433–2433. 2 indexed citations
9.
Song, Rencheng, Cong Ren, Juan Cheng, Chang Li, & Xuezhi Yang. (2023). Non-contact human respiratory rate measurement based on two-level fusions of video and FMCW radar information. Measurement. 222. 113604–113604. 9 indexed citations
10.
Ai, The Jin, et al.. (2023). An improved deep reinforcement learning approach: A case study for optimisation of berth and yard scheduling for bulk cargo terminal. Advances in Production Engineering & Management. 18(3). 303–316. 7 indexed citations
11.
12.
Yang, Xuezhi, et al.. (2023). Noncontact Blood Pressure Estimation Using BP-Related Cardiovascular Knowledge: An Uncalibrated Method Based on Consumer-Level Camera. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 8 indexed citations
13.
Deng, Zhiwei, et al.. (2023). EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning. Engineering Applications of Artificial Intelligence. 123. 106401–106401. 40 indexed citations
14.
Song, Rencheng, et al.. (2022). PFDNet: A Pulse Feature Disentanglement Network for Atrial Fibrillation Screening From Facial Videos. IEEE Journal of Biomedical and Health Informatics. 27(2). 1060–1071. 7 indexed citations
15.
Song, Rencheng, et al.. (2022). VideoCAD: An Uncertainty-Driven Neural Network for Coronary Artery Disease Screening From Facial Videos. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 6 indexed citations
16.
Song, Rencheng, et al.. (2022). Learning-Based Inversion Method for Solving Electromagnetic Inverse Scattering With Mixed Boundary Conditions. IEEE Transactions on Antennas and Propagation. 70(8). 6218–6228. 12 indexed citations
17.
Song, Rencheng, et al.. (2021). Electromagnetic Inverse Scattering With Perceptual Generative Adversarial Networks. IEEE Transactions on Computational Imaging. 7. 689–699. 27 indexed citations
18.
Song, Rencheng, et al.. (2020). Deep Learning-Based Inverse Scattering With Structural Similarity Loss Functions. IEEE Sensors Journal. 21(4). 4900–4907. 47 indexed citations
19.
Ye, Xiuzhu, et al.. (2020). An Inhomogeneous Background Imaging Method Based on Generative Adversarial Network. IEEE Transactions on Microwave Theory and Techniques. 68(11). 4684–4693. 47 indexed citations
20.
Song, Rencheng & Wen Chen. (2009). An investigation on the regularized meshless method for irregular domain problems. Computer Modeling in Engineering & Sciences. 42(1). 59–70. 13 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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