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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:

Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence
Vikas Hassija, Vinay Chamola, A. Mahapatra, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 45-74
Open Access | Times Cited: 345

Showing 1-25 of 345 citing articles:

Explainable Artificial Intelligence (XAI)
Mitra Tithi Dey
Advances in environmental engineering and green technologies book series (2024), pp. 333-362
Closed Access | Times Cited: 140
THE ROLE OF AI IN MARKETING PERSONALIZATION: A THEORETICAL EXPLORATION OF CONSUMER ENGAGEMENT STRATEGIES
Sodiq Odetunde Babatunde, Opeyemi Abayomi Odejide, Tolulope Esther Edunjobi, et al.
International Journal of Management & Entrepreneurship Research (2024) Vol. 6, Iss. 3, pp. 936-949
Open Access | Times Cited: 113
Advancing Precision Medicine: A Review of Innovative In Silico Approaches for Drug Development, Clinical Pharmacology and Personalized Healthcare
Lara Marques, Bárbara Costa, Mariana Pereira, et al.
Pharmaceutics (2024) Vol. 16, Iss. 3, pp. 332-332
Open Access | Times Cited: 61
Agile methodologies in digital banking: Theoretical underpinnings and implications for customer satisfaction
Damilola Oluwaseun Ogundipe, Opeyemi Abayomi Odejide, Tolulope Esther Edunjobi
Open Access Research Journal of Science and Technology (2024) Vol. 10, Iss. 2, pp. 021-030
Open Access | Times Cited: 54
Theoretical frameworks in AI for credit risk assessment: Towards banking efficiency and accuracy
Tolulope Esther Edunjobi, Opeyemi Abayomi Odejide
International Journal of Scientific Research Updates (2024) Vol. 7, Iss. 1, pp. 092-102
Open Access | Times Cited: 44
AI IN PROJECT MANAGEMENT: EXPLORING THEORETICAL MODELS FOR DECISION-MAKING AND RISK MANAGEMENT
Opeyemi Abayomi Odejide, Tolulope Esther Edunjobi
Engineering Science & Technology Journal (2024) Vol. 5, Iss. 3, pp. 1072-1085
Open Access | Times Cited: 42
Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 39
MACHINE LEARNING IN DRUG DISCOVERY: A CRITICAL REVIEW OF APPLICATIONS AND CHALLENGES
Francisca Chibugo Udegbe, Ogochukwu Roseline Ebulue, Charles Chukwudalu Ebulue, et al.
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 4, pp. 892-902
Open Access | Times Cited: 34
Innovations in Education
Shugufta Fatima, C. Kishor Kumar Reddy, Akshita Sunerah, et al.
Advances in educational technologies and instructional design book series (2024), pp. 19-52
Closed Access | Times Cited: 34
The Challenges of Machine Learning: A Critical Review
Enrico Barbierato, Alice Gatti
Electronics (2024) Vol. 13, Iss. 2, pp. 416-416
Open Access | Times Cited: 33
Shaping the future of AI in healthcare through ethics and governance
Rabaï Bouderhem
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 22
Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024
Alessandro Carriero, Léon Groenhoff, Elizaveta Vologina, et al.
Diagnostics (2024) Vol. 14, Iss. 8, pp. 848-848
Open Access | Times Cited: 20
Recent Advances in Large Language Models for Healthcare
Khalid Nassiri, Moulay A. Akhloufi
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 1097-1143
Open Access | Times Cited: 19
AI-Based Decision Support Systems in Industry 4.0, A Review
Mohsen Soori, Fooad Karimi Ghaleh Jough, Roza Dastres, et al.
Journal of Economy and Technology (2024)
Open Access | Times Cited: 16
Flood Susceptibility Mapping Using SAR Data and Machine Learning Algorithms in a Small Watershed in Northwestern Morocco
Sliman Hitouri, Meriame Mohajane, Meriam Lahsaini, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 858-858
Open Access | Times Cited: 15
Measuring the Interpretability and Explainability of Model Decisions of Five Large Language Models
Kaito Fujiwara, Miyu Sasaki, Akira Nakamura, et al.
(2024)
Open Access | Times Cited: 14
Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction
Melkamu Mersha, Khang Nhứt Lâm, Joseph Wood, et al.
Neurocomputing (2024) Vol. 599, pp. 128111-128111
Closed Access | Times Cited: 14
Leveraging generative AI for urban digital twins: a scoping review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city advancement
Haowen Xu, Olufemi A. Omitaomu, Soheil Sabri, et al.
Urban Informatics (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 14
Integrating AI Into Arbitration: Balancing Efficiency With Fairness and Legal Compliance
Tariq K. Alhasan
Conflict Resolution Quarterly (2025)
Closed Access | Times Cited: 3
Current Status of Emerging Contaminant Models and Their Applications Concerning the Aquatic Environment: A Review
Zhuang Liu, Yonghai Gan, Jun Luo, et al.
Water (2025) Vol. 17, Iss. 1, pp. 85-85
Open Access | Times Cited: 1
Innovative Approaches in Regulatory Affairs: Leveraging Artificial Intelligence and Machine Learning for Efficient Compliance and Decision-Making
C. S. Ajmal, Sravani Yerram, V S Abishek, et al.
The AAPS Journal (2025) Vol. 27, Iss. 1
Closed Access | Times Cited: 1
Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture
Lefteris Benos, Dimitrios Tsaopoulos, Aristotelis C. Tagarakis, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 650-650
Open Access | Times Cited: 1
The Weaponization of Emerging Technologies and Their Impact on Global Risk: A Perspective from the PfPC Emerging Security Challenges Working Group
Jean-Marc Rickli, Gëzim Vllasi
Connections The Quarterly Journal (2025) Vol. 24, Iss. 1, pp. 91-112
Closed Access | Times Cited: 1
Artificial intelligence-assisted electrochemical sensors for qualitative and semi-quantitative multiplexed analyses
Rocco Cancelliere, Mario Molinara, Antonio Licheri, et al.
Digital Discovery (2025)
Open Access | Times Cited: 1
Internet of things-driven approach integrated with explainable machine learning models for ship fuel consumption prediction
Van Nhanh Nguyen, Nathan Chung, N. Balaji, et al.
Alexandria Engineering Journal (2025) Vol. 118, pp. 664-680
Closed Access | Times Cited: 1
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