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:
The Reason Why rTMS and tDCS Are Efficient in Treatments of Depression
Milena Čukić
Frontiers in Psychology (2020) Vol. 10
Open Access | Times Cited: 8
Milena Čukić
Frontiers in Psychology (2020) Vol. 10
Open Access | Times Cited: 8
Showing 8 citing articles:
Machine learning approaches and non-linear processing of extracted components in frontal region to predict rTMS treatment response in major depressive disorder
Elias Ebrahimzadeh, Farahnaz Fayaz, Lila Rajabion, et al.
Frontiers in Systems Neuroscience (2023) Vol. 17
Open Access | Times Cited: 22
Elias Ebrahimzadeh, Farahnaz Fayaz, Lila Rajabion, et al.
Frontiers in Systems Neuroscience (2023) Vol. 17
Open Access | Times Cited: 22
Automated diagnosis of depression from EEG signals using traditional and deep learning approaches: A comparative analysis
Ashima Khosla, Padmavati Khandnor, Trilok Chand
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 108-142
Closed Access | Times Cited: 51
Ashima Khosla, Padmavati Khandnor, Trilok Chand
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 108-142
Closed Access | Times Cited: 51
Home-based transcranial direct current stimulation for major depressive disorder: 6-month follow-up from randomised sham-controlled trial and open-label treatment phases
Rachel D. Woodham, Sudhakar Selvaraj, Nahed Lajmi, et al.
Journal of Psychiatric Research (2025)
Closed Access
Rachel D. Woodham, Sudhakar Selvaraj, Nahed Lajmi, et al.
Journal of Psychiatric Research (2025)
Closed Access
Non-linear processing and reinforcement learning to predict rTMS treatment response in depression
Elias Ebrahimzadeh, Amin Dehghani, Mostafa Asgarinejad, et al.
Psychiatry Research Neuroimaging (2023) Vol. 337, pp. 111764-111764
Closed Access | Times Cited: 6
Elias Ebrahimzadeh, Amin Dehghani, Mostafa Asgarinejad, et al.
Psychiatry Research Neuroimaging (2023) Vol. 337, pp. 111764-111764
Closed Access | Times Cited: 6
The Effectiveness of tDCS And TMS for Treatment of Depression
Yanyan Lan
Highlights in Science Engineering and Technology (2024) Vol. 102, pp. 394-400
Closed Access
Yanyan Lan
Highlights in Science Engineering and Technology (2024) Vol. 102, pp. 394-400
Closed Access
possible scalable solution for Early detection of prodromal phase of dementia based on EEG complexity
Milena Čukić, Simon Anneheim, Patrick Eggenberger, et al.
Research Square (Research Square) (2024)
Open Access
Milena Čukić, Simon Anneheim, Patrick Eggenberger, et al.
Research Square (Research Square) (2024)
Open Access
Progress in Objective Detection of Depression and Online Monitoring of Patients Based on Physiological Complexity
Milena Čukić, Victoria López
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 2
Milena Čukić, Victoria López
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 2
Godot is not coming: when we will let innovations enter psychiatry?.
Milena Čukić
arXiv (Cornell University) (2021)
Closed Access
Milena Čukić
arXiv (Cornell University) (2021)
Closed Access
