Jikuo Wang

450 total citations
10 papers, 316 citations indexed

About

Jikuo Wang is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Cognitive Neuroscience. According to data from OpenAlex, Jikuo Wang has authored 10 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Cognitive Neuroscience. Recurrent topics in Jikuo Wang's work include ECG Monitoring and Analysis (9 papers), Phonocardiography and Auscultation Techniques (4 papers) and EEG and Brain-Computer Interfaces (4 papers). Jikuo Wang is often cited by papers focused on ECG Monitoring and Analysis (9 papers), Phonocardiography and Auscultation Techniques (4 papers) and EEG and Brain-Computer Interfaces (4 papers). Jikuo Wang collaborates with scholars based in China, United States and Australia. Jikuo Wang's co-authors include Lianke Yao, Huan Zhang, Xinpei Wang, Changchun Liu, Yuanyuan Liu, Qiao Xu, Liping Li, Yu Jiao, Wang Li and Changchun Liu and has published in prestigious journals such as IEEE Access, Computer Methods and Programs in Biomedicine and Computers in Biology and Medicine.

In The Last Decade

Jikuo Wang

10 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jikuo Wang China 8 197 100 95 69 67 10 316
Lianke Yao China 8 254 1.3× 110 1.1× 119 1.3× 104 1.5× 76 1.1× 14 414
Adyasha Rath India 9 130 0.7× 56 0.6× 61 0.6× 47 0.7× 75 1.1× 25 306
Ali Narin Türkiye 8 162 0.8× 133 1.3× 41 0.4× 55 0.8× 30 0.4× 20 371
Rohan Banerjee India 12 291 1.5× 115 1.1× 80 0.8× 147 2.1× 18 0.3× 27 413
Milton P. Ferreira Brazil 3 478 2.4× 207 2.1× 120 1.3× 117 1.7× 38 0.6× 6 585
Jéssica A. Canazart Brazil 5 495 2.5× 208 2.1× 123 1.3× 117 1.7× 41 0.6× 7 603
Urja Pawar Ireland 4 157 0.8× 123 1.2× 33 0.3× 53 0.8× 31 0.5× 6 281
Chua K. Chua Singapore 5 443 2.2× 256 2.6× 100 1.1× 152 2.2× 58 0.9× 5 532
Derick M. Oliveira Brazil 6 610 3.1× 231 2.3× 135 1.4× 136 2.0× 49 0.7× 19 756
Hai Yao China 4 376 1.9× 223 2.2× 102 1.1× 73 1.1× 13 0.2× 7 416

Countries citing papers authored by Jikuo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jikuo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jikuo Wang

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

All Works

10 of 10 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
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.. (2021). A METHOD FOR DETECTING CORONARY ARTERY STENOSIS BASED ON ECG SIGNALS. Journal of Mechanics in Medicine and Biology. 21(1). 2150003–2150003. 1 indexed citations
5.
Zhang, Huan, Xinpei Wang, Yuanyang Li, et al.. (2021). Discrimination of Patients with Varying Degrees of Coronary Artery Stenosis by ECG and PCG Signals Based on Entropy. Entropy. 23(7). 823–823. 13 indexed citations
6.
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
7.
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
8.
Yao, Lianke, Changchun Liu, Peng Li, et al.. (2020). Enhanced Automated Diagnosis of Coronary Artery Disease Using Features Extracted From QT Interval Time Series and ST–T Waveform. IEEE Access. 8. 129510–129524. 17 indexed citations
9.
Wang, Jikuo, Changchun Liu, Liping Li, et al.. (2020). A Stacking-Based Model for Non-Invasive Detection of Coronary Heart Disease. IEEE Access. 8. 37124–37133. 55 indexed citations
10.
Yao, Lianke, Peng Li, Liping Li, et al.. (2019). Comparison of QT interval variability of coronary patients without myocardial infarction with that of patients with old myocardial infarction. Computers in Biology and Medicine. 113. 103396–103396. 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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