OpenAlex Citation Counts

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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:

Machine learning approach for predicting electrical features of Schottky structures with graphene and ZnTiO3 nanostructures doped in PVP interfacial layer
Ali Barkhordari, Hamid Reza Mashayekhi, Pari Amiri, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15

Showing 15 citing articles:

Frequency-dependent dielectric, electric modulus, and ac conductivity features of Au/n-Si Schottky diodes (SDs) with PVC and (PVC:Graphite/Graphene-Oxide) interlayer
Seçkin Altındal Yerişkin, İlke Taşçıoğlu, Yosef Badalı
Journal of Physics D Applied Physics (2024) Vol. 57, Iss. 31, pp. 315104-315104
Closed Access | Times Cited: 6

An artificial intelligence model estimation for functionalized graphene quantum dot-based diode characteristics
Ali Öter, Betül Ersöz, Zeynep Berktaş, et al.
Physica Scripta (2024) Vol. 99, Iss. 5, pp. 056001-056001
Closed Access | Times Cited: 4

Deep characterization of the electrical features of Ag/P3HT/SiNWs Schottky diodes by machine learning models based on experimental study
Radhouane Laajimi, K. Laajimi, Mehdi Rahmani
Surfaces and Interfaces (2024), pp. 105175-105175
Closed Access | Times Cited: 4

Study of the Current–Voltage Characteristics of Membrane Systems Using Neural Networks
E. V. Kirillova, А. В. Коваленко, М. Х. Уртенов
AppliedMath (2025) Vol. 5, Iss. 1, pp. 10-10
Open Access

Electronic respond of Au/n-Si Schottky barrier diodes with PVP interlayer doped by Nd2O3 particles
Ferhat Hanife
Journal of Materials Science Materials in Electronics (2025) Vol. 36, Iss. 7
Open Access

Artificial intelligence-driven data generation for temperature-dependent current–voltage characteristics of diodes
Betül Ersöz, Ali Öter, Zeynep Berktaş, et al.
FlatChem (2025), pp. 100847-100847
Closed Access

Enhancement of the Optoelectric and Photovoltaic Responses of Al/PVP:ZnTiO3/p‐Si Structure by Graphene Nanoparticles
Ali Barkhordari, Ş. Altındal, Süleyman Özçelik, et al.
Advanced Photonics Research (2025)
Open Access

Comparative Evaluation of Current-Voltage Parameters of Al/Chlorophyll/p-Si/Al Device under Varying Irradiance Intensity: Machine Learning Modeling vs. Experimental Data
F.S. Kaya, İkram Orak, Zekeriya BALCI, et al.
Sensors and Actuators A Physical (2025), pp. 116469-116469
Closed Access

The effect of Cu-doping to the DLC interlayer on the temperature dependent current-conduction mechanisms and barrier shape of the Schottky devices
Esra Evcin Baydilli
Materials Science in Semiconductor Processing (2024) Vol. 184, pp. 108828-108828
Closed Access | Times Cited: 2

Electrical properties of PVC:BN nanocomposite as interfacial layer in metal-semiconductor structure
Yosef Badalı
Journal of Materials Science Materials in Electronics (2024) Vol. 35, Iss. 7
Open Access

Artifical Intelligence Parameter Extraction Methods
R.O. Ocaya
(2024), pp. 143-158
Closed Access

Electric and dielectric responses of Au/n-Si structure by Mn doped PVC interfacial layers
Yosef Badalı, Çiğdem Şükriye Güçlü
Physica Scripta (2024) Vol. 99, Iss. 8, pp. 085947-085947
Closed Access

Properties optimisation of nanostructures via machine learning: Progress and perspective
Nurul Akmal Che Lah
Engineering Analysis with Boundary Elements (2024) Vol. 171, pp. 106063-106063
Closed Access

Study of graphene variable capacitance based on intelligent algorithm
Yuchao Shi, Jing Wu, Haiyun Tan, et al.
(2023), pp. 9-9
Closed Access

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