Qunfeng Tang

497 total citations
16 papers, 311 citations indexed

About

Qunfeng Tang is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Qunfeng Tang has authored 16 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 13 papers in Biomedical Engineering and 6 papers in Surgery. Recurrent topics in Qunfeng Tang's work include Non-Invasive Vital Sign Monitoring (13 papers), ECG Monitoring and Analysis (9 papers) and Heart Rate Variability and Autonomic Control (8 papers). Qunfeng Tang is often cited by papers focused on Non-Invasive Vital Sign Monitoring (13 papers), ECG Monitoring and Analysis (9 papers) and Heart Rate Variability and Autonomic Control (8 papers). Qunfeng Tang collaborates with scholars based in China, Canada and Switzerland. Qunfeng Tang's co-authors include Zhencheng Chen, Mohamed Elgendi, Rabab Ward, Yongbo Liang, Carlo Menon, Fangrong Hu, Jianming Zhu, William Parker, Newton Howard and Savvas Nicolaou and has published in prestigious journals such as Scientific Reports, Sensors and Frontiers in Physiology.

In The Last Decade

Qunfeng Tang

14 papers receiving 298 citations

Peers

Countries citing papers authored by Qunfeng Tang

Since Specialization

Citations

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

Fields of papers citing papers by Qunfeng Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qunfeng Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Qunfeng Tang. A scholar is included among the top collaborators of Qunfeng Tang 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 Qunfeng Tang. Qunfeng Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Reconstruction of Missing Electrocardiography Signals from Photoplethysmography Data Using Deep Neural Network 2024 ·Bioengineering ·(unknown), Qunfeng Tang, (unknown), Zhencheng Chen	1
2	Robust modelling of arterial blood pressure reconstruction from photoplethysmography 2024 ·Scientific Reports ·Jian Pan, Lei Liang, Yongbo Liang, Qunfeng Tang, (unknown), Jianming Zhu	0
3	Res-BiANet: A Hybrid Deep Learning Model for Arrhythmia Detection Based on PPG Signal 2024 ·Electronics ·(unknown), Qunfeng Tang, (unknown), Shiyong Li, Zhencheng Chen	6
4	UNet-BiLSTM: A Deep Learning Method for Reconstructing Electrocardiography from Photoplethysmography 2024 ·Electronics ·(unknown), Qunfeng Tang, Zhencheng Chen, (unknown)	3
5	Subject-Independent Model for Reconstructing Electrocardiography Signals from Photoplethysmography Signals 2024 ·Applied Sciences ·(unknown), (unknown), Zhencheng Chen, Qunfeng Tang	0
6	Improved U-Net Model to Estimate Cardiac Output Based on Photoplethysmography and Arterial Pressure Waveform 2023 ·Sensors ·Xichen Xu, Qunfeng Tang, Zhencheng Chen	4
7	PPG2ECGps: An End-to-End Subject-Specific Deep Neural Network Model for Electrocardiogram Reconstruction from Photoplethysmography Signals without Pulse Arrival Time Adjustments 2023 ·Bioengineering ·Qunfeng Tang, Zhencheng Chen, Rabab Ward, Carlo Menon, Mohamed Elgendi	8
8	Robust Reconstruction of Electrocardiogram Using Photoplethysmography: A Subject-Based Model 2022 ·Frontiers in Physiology ·Qunfeng Tang, Zhencheng Chen, (unknown), Yongbo Liang, Rabab Ward, Carlo Menon, Mohamed Elgendi	19
9	Subject-Based Model for Reconstructing Arterial Blood Pressure from Photoplethysmogram 2022 ·Bioengineering ·Qunfeng Tang, Zhencheng Chen, Rabab Ward, Carlo Menon, Mohamed Elgendi	13
10	The Effectiveness of Image Augmentation in Deep Learning Networks for Detecting COVID-19: A Geometric Transformation Perspective 2021 ·Frontiers in Medicine ·Mohamed Elgendi, Muhammad Umer Nasir, Qunfeng Tang, David L. Smith, (unknown), (unknown), Bradley Spieler, William D. Leslie, Carlo Menon, (unknown), Newton Howard, Rabab Ward, William Parker, Savvas Nicolaou	66
11	PPGTempStitch: A MATLAB Toolbox for Augmenting Annotated Photoplethsmogram Signals 2021 ·Sensors ·Qunfeng Tang, Zhencheng Chen, Carlo Menon, Rabab Ward, Mohamed Elgendi	5
12	The Performance of Deep Neural Networks in Differentiating Chest X-Rays of COVID-19 Patients From Other Bacterial and Viral Pneumonias 2020 ·Frontiers in Medicine ·Mohamed Elgendi, Muhammad Umer Nasir, Qunfeng Tang, R. Fletcher, Newton Howard, Carlo Menon, Rabab Ward, William Parker, Savvas Nicolaou	28
13	PPGSynth: An Innovative Toolbox for Synthesizing Regular and Irregular Photoplethysmography Waveforms 2020 ·Frontiers in Medicine ·Qunfeng Tang, Zhencheng Chen, John Allen, Aymen Alian, Carlo Menon, Rabab Ward, Mohamed Elgendi	23
14	Deep Learning Algorithm Classifies Heartbeat Events Based on Electrocardiogram Signals 2020 ·Frontiers in Physiology ·Yongbo Liang, Shimin Yin, Qunfeng Tang, (unknown), Mohamed Elgendi, Zhencheng Chen	34
15	Synthetic photoplethysmogram generation using two Gaussian functions 2020 ·Scientific Reports ·Qunfeng Tang, Zhencheng Chen, Rabab Ward, Mohamed Elgendi	34
16	An Automatic Diagnosis of Arrhythmias Using a Combination of CNN and LSTM Technology 2020 ·Electronics ·(unknown), Zhencheng Chen, Fangrong Hu, Jianming Zhu, Qunfeng Tang, Yongbo Liang	67

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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