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For: Aydın S. Cross-validated Adaboost Classification of Emotion Regulation Strategies Identified by Spectral Coherence in Resting-State. Neuroinformatics 2022;20:627-39. [PMID: 34536200 DOI: 10.1007/s12021-021-09542-7] [Cited by in Crossref: 14] [Cited by in F6Publishing: 15] [Article Influence: 14.0] [Reference Citation Analysis]
Number Citing Articles
1 Mendes Junior JJA, Pontim CE, Dias TS, Campos DP. How do sEMG segmentation parameters influence pattern recognition process? An approach based on wearable sEMG sensor. Biomedical Signal Processing and Control 2023;81:104546. [DOI: 10.1016/j.bspc.2022.104546] [Reference Citation Analysis]
2 Zhao X, Chen K, Wang H, Gao Y, Ji X, Li Y. A within-subject voxel-wise constant-block partial least squares correlation method to explore MRI-based brain structure–function relationship. Cogn Neurodyn 2023. [DOI: 10.1007/s11571-023-09941-3] [Reference Citation Analysis]
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5 Kim D, Woo J, Jeong J, Kim S. The sound stimulation method and EEG change analysis for development of digital therapeutics that can stimulate the nervous system: Cortical activation and drug substitution potential. CNS Neurosci Ther 2023;29:402-11. [PMID: 36377425 DOI: 10.1111/cns.14014] [Reference Citation Analysis]
6 Prasad R, Tarai S, Bit A. Investigation of frequency components embedded in EEG recordings underlying neuronal mechanism of cognitive control and attentional functions. Cogn Neurodyn. [DOI: 10.1007/s11571-022-09888-x] [Reference Citation Analysis]
7 Chen L, Wang J, Xia M, Sun L, Sun J, Gao L, Zhang D, Wu T. Altered functional connectivity of nucleus accumbens subregions associates with non-motor symptoms in Parkinson's disease. CNS Neurosci Ther 2022;28:2308-18. [PMID: 36184786 DOI: 10.1111/cns.13979] [Reference Citation Analysis]
8 Aly M, Alotaibi NS. A novel deep learning model to detect COVID-19 based on wavelet features extracted from Mel-scale spectrogram of patients' cough and breathing sounds. Inform Med Unlocked 2022;32:101049. [PMID: 35989705 DOI: 10.1016/j.imu.2022.101049] [Reference Citation Analysis]
9 Mayuandong YM, Song Q, Hu M, Zhu X. A Lightweight Neural Learning Algorithm for Real-Time Facial Feature Tracking System via Split-Attention and Heterogeneous Convolution. Neural Process Lett. [DOI: 10.1007/s11063-022-10951-1] [Reference Citation Analysis]
10 Hu Y, Wang Y, Zhang R, Hu Y, Fang M, Li Z, Shi L, Zhang Y, Zhang Z, Gao J, Zhang L. Assessing stroke rehabilitation degree based on quantitative EEG index and nonlinear parameters. Cogn Neurodyn. [DOI: 10.1007/s11571-022-09849-4] [Reference Citation Analysis]
11 Cheung So E, Chang T. Modeling surgical patients’ tidal volumes set by anesthesiologists – A successful regression approach based on 6 body parameters. Biomedical Signal Processing and Control 2022;77:103801. [DOI: 10.1016/j.bspc.2022.103801] [Reference Citation Analysis]
12 Aydın S. Investigation of global brain dynamics depending on emotion regulation strategies indicated by graph theoretical brain network measures at system level. Cogn Neurodyn. [DOI: 10.1007/s11571-022-09843-w] [Reference Citation Analysis]
13 Yang C, Wang X, Yao L, Long G, Jiang J, Xu G. Attentional Gated Res2Net for Multivariate Time Series Classification. Neural Process Lett. [DOI: 10.1007/s11063-022-10944-0] [Reference Citation Analysis]
14 Saraiva M, Paszkiel S, Vilas-boas JP, Castro MA. Influence of Cognitive Task Difficulty in Postural Control and Hemodynamic Response in the Prefrontal Cortex during Static Postural Standing. Applied Sciences 2022;12:6363. [DOI: 10.3390/app12136363] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Lehký D, Šomodíková M, Lipowczan M. A utilization of the inverse response surface method for the reliability-based design of structures. Neural Comput & Applic. [DOI: 10.1007/s00521-022-07149-w] [Reference Citation Analysis]
16 Salehian Matikolaie F, Kheddache Y, Tadj C. Automated newborn cry diagnostic system using machine learning approach. Biomedical Signal Processing and Control 2022;73:103434. [DOI: 10.1016/j.bspc.2021.103434] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
17 Nguyen T, Nguyen T, Trinh Q, Le X, Pham L, Le X. Artificial neural network-based optimization of operating parameters for minimum quantity lubrication-assisted burnishing process in terms of surface characteristics. Neural Comput & Applic. [DOI: 10.1007/s00521-021-06834-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]