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:

Deep Learning in Diverse Intelligent Sensor Based Systems
Yanming Zhu, Min Wang, Xuefei Yin, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 62-62
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Deep Learning-Based Weed–Crop Recognition for Smart Agricultural Equipment: A Review
Hao-Ran Qu, Wen‐Hao Su
Agronomy (2024) Vol. 14, Iss. 2, pp. 363-363
Open Access | Times Cited: 20

A Deep Learning-Based Innovative Technique for Phishing Detection in Modern Security with Uniform Resource Locators
Eman Abdullah Aldakheel, Mohammed Zakariah, Ghada Abdalaziz Gashgari, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4403-4403
Open Access | Times Cited: 34

Enhancing Phishing Detection: A Novel Hybrid Deep Learning Framework for Cybercrime Forensics
Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Nasir Ayub
IEEE Access (2024) Vol. 12, pp. 8373-8389
Open Access | Times Cited: 11

The Biomedical Applications of Artificial Intelligence: An Overview of Decades of Research
Sweet Naskar, Suraj Sharma, Ketousetuo Kuotsu, et al.
Journal of drug targeting (2025), pp. 1-85
Closed Access

The multiple uses of artificial intelligence in exercise programs: a narrative review
Alberto Canzone, Giacomo Belmonte, Antonino Patti, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access

ChatGPT and its application in the field of mental health
Ranjan Bhattacharyya, Kaustav Chakraborty, Rjarshi Neogi
Journal of SAARC Psychiatric Federation (2023) Vol. 1, Iss. 1, pp. 6-10
Closed Access | Times Cited: 13

Artificial intelligence for skin permeability prediction: deep learning
Kevin Ita, Sahba Roshanaei
Journal of drug targeting (2024) Vol. 32, Iss. 3, pp. 334-346
Closed Access | Times Cited: 4

Machine learning and flavoromics-based research strategies for determining the characteristic flavor of food: A review
Donglin Cai, Xueqing Li, Huifang Liu, et al.
Trends in Food Science & Technology (2024) Vol. 154, pp. 104794-104794
Closed Access | Times Cited: 4

Deep-Learning-Based Analysis of Electronic Skin Sensing Data
Yu-Chen Guo, Xidi Sun, Lulu Li, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1615-1615
Open Access

Integration of AI with artificial sensory systems for multidimensional intelligent augmentation
Changyu Tian, Youngwook Cho, Youngho Song, et al.
International Journal of Extreme Manufacturing (2025) Vol. 7, Iss. 4, pp. 042002-042002
Open Access

Block-Scrambling-Based Encryption with Deep-Learning-Driven Remote Sensing Image Classification
Faisal S. Alsubaei, Amani A. Alneil, Abdullah Mohamed, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1022-1022
Open Access | Times Cited: 11

A Novel Deep Neural Network to Analyze and Monitoring the Physical Training Relation to Sports Activities
Bakһytzһan Omarov, N.K. Nurmash, Bauyrzhan Doskarayev, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 9
Open Access | Times Cited: 9

Deep Learning System for User Identification Using Sensors on Doorknobs
Jesús Vegas, A. Ravishankar Rao, César Llamas
Sensors (2024) Vol. 24, Iss. 15, pp. 5072-5072
Open Access | Times Cited: 1

Cybersecurity in smart agriculture: A systematic literature review
Milton Campoverde‐Molina, Sergio Luján‐Mora
Computers & Security (2024), pp. 104284-104284
Open Access | Times Cited: 1

Object Detection in Cybersecurity
Stones Dalitso Chindipha
Advances in information security, privacy, and ethics book series (2024), pp. 175-196
Closed Access

Weed Identification Using Machine Learning and Deep Learning: A Review
Anuja Bhargava, Diwakar Agarwal, Rekha Chaturvedi, et al.
(2024)
Closed Access

Artificial Intelligence for the Identification of Biomarkers in Cancer Prevention and Diagnosis: Advances and Perspectives
Carina Toledo Scoparo Barioni, Renata Paes de Barros Wandresen, Lucas Formicoli Pereira, et al.
Revista Brasileira de Cancerologia (2024) Vol. 70, Iss. 2
Open Access

Application of Computer Vision Approach for Automation and Classification of Fashion Store
A. Adebayo, Moses Kazeem Abiodun, Ifeoluwa Temitayo Awoniran, et al.
(2024), pp. 1-9
Closed Access

Artificial intelligence in suicide prevention: Utilizing deep learning approach for early detection
Vikas Gaur, Gaurav Maggu, Khushboo Bairwa, et al.
Industrial Psychiatry Journal (2024) Vol. 33, Iss. 2, pp. 226-233
Open Access

Advances in CT Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma
小娟 贺
Advances in Clinical Medicine (2023) Vol. 13, Iss. 05, pp. 7454-7460
Closed Access

СУЧАСНИЙ СТАН ТА ПЕРСПЕКТИВИ РОЗВИТКУ МЕТОДІВ ОБРОБЛЕННЯ ГЕТЕРОГЕННИХ ПОТОКОВИХ ДАНИХ
Максим ІЛЬЇН, Liubov Oleshchenko
Information Technology Computer Science Software Engineering and Cyber Security (2023), Iss. 1, pp. 100-106
Open Access

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