Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

DECODING OF UPPER LIMB MOVEMENT BY FRACTAL ANALYSIS OF ELECTROENCEPHALOGRAM (EEG) SIGNAL
Hamidreza Namazi, Tirdad Seifi, Vladimír Kulish
Fractals (2018) Vol. 26, Iss. 05, pp. 1850081-1850081
Closed Access | Times Cited: 50

Showing 26-50 of 50 citing articles:

The EEG-Based Fusion Entropy-Featured Identification of Isometric Contraction Forces under the Same Action
Bo Yao, Chengzhen Wu, Xing Zhang, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2323-2323
Open Access | Times Cited: 2
Decoding of the Relationship between Brain and Facial Muscle Activities in Response to Dynamic Visual Stimuli
Mirra Soundirarajan, Mohammad Hossein Babini, Sue Sim, et al.
Fluctuation and Noise Letters (2020) Vol. 19, Iss. 04, pp. 2050041-2050041
Closed Access | Times Cited: 18
Information-based analysis of the relationship between brain and facial muscle activities in response to static visual stimuli
Mirra Soundirarajan, NAJMEH PAKNIYAT, Sue Sim, et al.
Technology and Health Care (2020) Vol. 29, Iss. 1, pp. 99-109
Closed Access | Times Cited: 16
Analysis of brain‐facial muscle connection in the static fractal visual stimulation
Mirra Soundirarajan, Mohammad Hossein Babini, Sue Sim, et al.
International Journal of Imaging Systems and Technology (2020) Vol. 31, Iss. 2, pp. 548-554
Closed Access | Times Cited: 16
COMPLEXITY AND INFORMATION-BASED ANALYSIS OF THE ELECTROENCEPHALOGRAM (EEG) SIGNALS IN STANDING, WALKING, AND WALKING WITH A BRAIN–COMPUTER INTERFACE
R. Janarthanan, Norazryana Mat Dawi, Karthikeyan Rajagopal, et al.
Fractals (2021) Vol. 30, Iss. 01
Open Access | Times Cited: 15
Fractal-Based Analysis of the Relation Between Surface Finish and Machine Vibration in Milling Operation
Muhammad Owais Qadri, Hamidreza Namazi
Fluctuation and Noise Letters (2019) Vol. 19, Iss. 01, pp. 2050006-2050006
Closed Access | Times Cited: 16
Complexity-based decoding of the relation between human voice and brain activity
Mohamed Rasmi Ashfaq Ahamed, Mohammad Hossein Babini, Hamidreza Namazi
Technology and Health Care (2020) Vol. 28, Iss. 6, pp. 665-674
Closed Access | Times Cited: 15
Information-based decoding of the coupling among human brain activity and movement paths
Shahul Mujib Kamal, Norazryana Mat Dawi, Hamidreza Namazi
Technology and Health Care (2021) Vol. 29, Iss. 6, pp. 1109-1118
Closed Access | Times Cited: 12
FRACTAL-BASED ANALYSIS OF THE EFFECT OF MACHINING PARAMETERS ON SURFACE FINISH OF WORKPIECE IN TURNING OPERATION
GEEVIN JITHMAL PATHIRANAGAMA, Hamidreza Namazi
Fractals (2019) Vol. 27, Iss. 04, pp. 1950043-1950043
Closed Access | Times Cited: 13
COMPLEXITY-BASED ANALYSIS OF THE INFLUENCE OF MACHINING PARAMETERS ON THE SURFACE FINISH OF DRILLED HOLES IN DRILLING OPERATION
ASHFAQ AHAMED, ATHIF AHAMED, DILAN KATUWAWALA, et al.
Fractals (2019) Vol. 27, Iss. 06, pp. 1950087-1950087
Closed Access | Times Cited: 13
Exploiting Asymmetric EEG Signals with EFD in Deep Learning Domain for Robust BCI
Binwen Huang, Haiqin Xu, Yuan Miao, et al.
Symmetry (2022) Vol. 14, Iss. 12, pp. 2677-2677
Open Access | Times Cited: 8
A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals
Nadia Mammone, Cosimo Ieracitano, Rossella Spataro, et al.
International Journal of Neural Systems (2023) Vol. 34, Iss. 02
Closed Access | Times Cited: 4
Decoding of the coupling between the brain and facial muscle reactions in auditory stimulation
Mirra Soundirarajan, Kamil Kuča, Ondřej Krejcar, et al.
Technology and Health Care (2021) Vol. 30, Iss. 4, pp. 859-868
Closed Access | Times Cited: 10
DECODING OF THE RELATION BETWEEN FRACTAL STRUCTURE OF CUTTING FORCE AND SURFACE ROUGHNESS OF MACHINED WORKPIECE IN END MILLING OPERATION
Hamidreza Namazi, Ali Akhavan Farid, TECK SENG CHANG
Fractals (2019) Vol. 27, Iss. 04, pp. 1950054-1950054
Closed Access | Times Cited: 10
Analysis of the information transfer between brains during a conversation
Mohamed Rasmi Ashfaq Ahamed, Mohammad Hossein Babini, Hamidreza Namazi
Technology and Health Care (2020) Vol. 29, Iss. 2, pp. 283-293
Closed Access | Times Cited: 9
COMPLEXITY-BASED DECODING OF THE EFFECT OF MACHINING PARAMETERS ON THE MACHINED SURFACE IN MILLING OPERATION
KUSHAL BISSOONAUTH, Hamidreza Namazi
Fractals (2019) Vol. 27, Iss. 05, pp. 1950076-1950076
Closed Access | Times Cited: 8
A CONTINUOUS VARIATION OF ROUGHNESS SCALING CHARACTERISTICS ACROSS FRACTAL AND NON-FRACTAL PROFILES
Zhiwei Li, Xiang Qian, Feng Feng, et al.
Fractals (2021) Vol. 29, Iss. 05, pp. 2150109-2150109
Closed Access | Times Cited: 7
THE EFFECT OF NOISE AND NONLINEAR NOISE REDUCTION METHODS ON THE FRACTAL DIMENSION OF CHAOTIC TIME SERIES
Nazanin Zandi-Mehran, Sajad Jafari, Seyed Mohammad Reza Hashemi Golpayegani, et al.
Fractals (2021) Vol. 29, Iss. 08
Closed Access | Times Cited: 7
Decoding the correlation between heart activation and walking path by information-based analysis
Shahul Mujib Kamal, Mohammad Hossein Babini, Rui Tee, et al.
Technology and Health Care (2022) Vol. 31, Iss. 1, pp. 205-215
Closed Access | Times Cited: 4
DESIGN OF WIRELESS SENSOR NETWORK USING STATISTICAL FRACTAL MEASUREMENTS
Zhiyou Wang, Yuan Zhou, Aboubakr Salem Bajenaid, et al.
Fractals (2021) Vol. 30, Iss. 02
Closed Access | Times Cited: 5
Motion-Copying System Based on Modeling of Finger Force Characteristics Using Upper Limb-EMG
Daiki Sodenaga, Kosuke Egawa, Seiichiro Katsura
(2022), pp. 1-6
Closed Access | Times Cited: 3
An Explainable Artificial Intelligence Approach for Force Estimation from Surface-EMG sing the Element Description Method
Daiki Sodenaga, Issei Takeuchi, Daswin De Silva, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
Studies on Electroencephalogram for Upper Limb Rehabilitation
Ritwika Ghosh, Ahona Ghosh, Sriparna Saha
Practice, progress, and proficiency in sustainability (2023), pp. 393-414
Closed Access | Times Cited: 1
Decoding Motor Preparation Through a Deep Learning Approach Based on EEG Time-Frequency Maps
Nadia Mammone, Cosimo Ieracitano, Rossella Spataro, et al.
Communications in computer and information science (2022), pp. 159-173
Closed Access | Times Cited: 1
Physiological State and Learning Ability of Students in Normal and Virtual Reality Conditions: Complexity-Based Analysis (Preprint)
Mohammad Hossein Babini, Vladimír Kulish, Hamidreza Namazi
(2020)
Open Access
Previous Page - Page 2

Scroll to top