Changchun Liu

774 total citations
35 papers, 568 citations indexed

About

Changchun Liu is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Changchun Liu has authored 35 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Biomedical Engineering. Recurrent topics in Changchun Liu's work include ECG Monitoring and Analysis (13 papers), Non-Invasive Vital Sign Monitoring (10 papers) and Heart Rate Variability and Autonomic Control (8 papers). Changchun Liu is often cited by papers focused on ECG Monitoring and Analysis (13 papers), Non-Invasive Vital Sign Monitoring (10 papers) and Heart Rate Variability and Autonomic Control (8 papers). Changchun Liu collaborates with scholars based in China, Australia and United Kingdom. Changchun Liu's co-authors include Xinpei Wang, Lianke Yao, Peng Li, Huan Zhang, Jikuo Wang, Shunbo Hu, Yuanyuan Liu, Chengyu Liu, Liang Wu and Qiao Xu and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Changchun Liu

34 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changchun Liu China 12 314 152 149 148 106 35 568
Yuxi Zhou China 11 453 1.4× 287 1.9× 121 0.8× 132 0.9× 61 0.6× 24 687
Yujuan Si China 11 230 0.7× 170 1.1× 50 0.3× 99 0.7× 100 0.9× 36 444
N. Kumaravel India 11 199 0.6× 63 0.4× 67 0.4× 92 0.6× 158 1.5× 39 418
Rahime Ceylan Türkiye 9 388 1.2× 299 2.0× 56 0.4× 142 1.0× 58 0.5× 24 618
Felipe Alonso‐Atienza Spain 15 489 1.6× 245 1.6× 50 0.3× 129 0.9× 41 0.4× 35 708
Annisa Darmawahyuni Indonesia 17 452 1.4× 272 1.8× 124 0.8× 146 1.0× 54 0.5× 53 776
Y. Padma Sai India 12 193 0.6× 144 0.9× 72 0.5× 122 0.8× 49 0.5× 49 466
Joel EW Koh Singapore 7 296 0.9× 181 1.2× 80 0.5× 138 0.9× 32 0.3× 8 529
Mehmet Korürek Türkiye 11 317 1.0× 252 1.7× 62 0.4× 113 0.8× 61 0.6× 31 520
Caiyun Ma China 8 548 1.7× 341 2.2× 121 0.8× 123 0.8× 23 0.2× 22 637

Countries citing papers authored by Changchun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Changchun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changchun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Changchun Liu. A scholar is included among the top collaborators of Changchun Liu 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 Changchun Liu. Changchun Liu 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.
Liang, Xiaohong, Liping Li, Yuanyuan Liu, et al.. (2022). ECG_SegNet: An ECG delineation model based on the encoder-decoder structure. Computers in Biology and Medicine. 145. 105445–105445. 30 indexed citations
2.
Wu, Liang, Shunbo Hu, & Changchun Liu. (2021). Denoising of 3D Brain MR Images with Parallel Residual Learning of Convolutional Neural Network Using Global and Local Feature Extraction. Computational Intelligence and Neuroscience. 2021(1). 5577956–5577956. 16 indexed citations
3.
Wang, Jikuo, Qiao Xu, Changchun Liu, et al.. (2021). Automated ECG classification using a non-local convolutional block attention module. Computer Methods and Programs in Biomedicine. 203. 106006–106006. 98 indexed citations
4.
Zhang, Huan, Xinpei Wang, Changchun Liu, et al.. (2020). Detection of coronary artery disease using multi-modal feature fusion and hybrid feature selection. Physiological Measurement. 41(11). 115007–115007. 23 indexed citations
5.
Li, Han, Xinpei Wang, Changchun Liu, et al.. (2020). A fusion framework based on multi-domain features and deep learning features of phonocardiogram for coronary artery disease detection. Computers in Biology and Medicine. 120. 103733–103733. 68 indexed citations
6.
Han, Li, Xinpei Wang, Changchun Liu, et al.. (2019). Dual-Input Neural Network Integrating Feature Extraction and Deep Learning for Coronary Artery Disease Detection Using Electrocardiogram and Phonocardiogram. IEEE Access. 7. 146457–146469. 62 indexed citations
7.
Yuan, Hui, et al.. (2017). A Region-Wised Medium Transmission Based Image Dehazing Method. IEEE Access. 5. 1735–1742. 42 indexed citations
8.
Li, Peng, et al.. (2017). Area asymmetry of heart rate variability signal. BioMedical Engineering OnLine. 16(1). 112–112. 35 indexed citations
9.
Liu, Chengyu, Chengyu Liu, Lina Zhao, Changchun Liu, & Changchun Liu. (2014). Effects of Blood Pressure and Sex on the Change of Wave Reflection: Evidence from Gaussian Fitting Method for Radial Artery Pressure Waveform. PLoS ONE. 9(11). e112895–e112895. 9 indexed citations
10.
Li, Peng, et al.. (2014). Coupling between short-term heart rate and diastolic period is reduced in heart failure patients as indicated by multivariate entropy analysis. Computing in Cardiology Conference. 97–100. 13 indexed citations
11.
Liu, Chengyu, Dingchang Zheng, Peng Li, et al.. (2013). Is cross-sample entropy a valid measure of synchronization between sequences of RR interval and pulse transit time?. Pure (Coventry University). 939–942. 6 indexed citations
12.
Li, Peng, et al.. (2013). Age related changes in variability of short-term heart rate and diastolic period. Computing in Cardiology Conference. 995–998. 11 indexed citations
13.
Zhang, Qingguang, Jing Yang, Liping Li, Bin Li, & Changchun Liu. (2010). Study of Pulse Rate Variability Signals Using Bispectrum Analysis. International Conference on Bioinformatics and Biomedical Engineering. 21. 1–4. 2 indexed citations
14.
Liu, Changchun, et al.. (2010). Application of Wavelet Packet Energy Spectrum to Extract the Feature of the Pulse Signal. International Conference on Bioinformatics and Biomedical Engineering. 1–4. 3 indexed citations
15.
Hu, Shunbo, et al.. (2009). Application of generalized Jensen-Schur measure in medical image registration. Journal of Computer Applications. 29(5). 1441–1445. 1 indexed citations
16.
Liu, Changchun. (2008). Data subsampling in medical image registration. Journal of Optoelectronics·laser. 2 indexed citations
17.
Liu, Changchun, et al.. (2007). Brain Image Registration Based on Entropy of Mutual Information Matrix. 1679. 1163–1166. 5 indexed citations
18.
Liu, Changchun, et al.. (2005). Extraction of VEP based on third-order correlation based filters and wavelet thresholding denoising method. PubMed. 21. 2722–2725. 1 indexed citations
19.
Liu, Changchun, et al.. (2005). Classifying Paddy Rice by Morphological and Color Features Using Machine Vision. Cereal Chemistry. 82(6). 649–653. 11 indexed citations
20.
Liu, Changchun. (2003). A method of histogram incomplete equalization. 5 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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