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:

Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
Vanessa Buhrmester, David Münch, Michael Arens
Machine Learning and Knowledge Extraction (2021) Vol. 3, Iss. 4, pp. 966-989
Open Access | Times Cited: 272

Showing 1-25 of 272 citing articles:

Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities
Waddah Saeed, Christian W. Omlin
Knowledge-Based Systems (2023) Vol. 263, pp. 110273-110273
Open Access | Times Cited: 335
Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions
Safa Ben Atitallah, Maha Driss, Wadii Boulila, et al.
Computer Science Review (2020) Vol. 38, pp. 100303-100303
Closed Access | Times Cited: 281
Advances and challenges in conversational recommender systems: A survey
Chongming Gao, Wenqiang Lei, Xiangnan He, et al.
AI Open (2021) Vol. 2, pp. 100-126
Open Access | Times Cited: 207
Medical deep learning—A systematic meta-review
Jan Egger, Christina Gsaxner, Antonio Pepe, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106874-106874
Open Access | Times Cited: 172
Comparative study of deep learning models for analyzing online restaurant reviews in the era of the COVID-19 pandemic
Yi Luo, Xiaowei Xu
International Journal of Hospitality Management (2021) Vol. 94, pp. 102849-102849
Open Access | Times Cited: 151
Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Yassine Himeur, Somaya Al‐Maadeed, Hamza Kheddar, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105698-105698
Open Access | Times Cited: 78
Neural network attribution methods for problems in geoscience: A novel synthetic benchmark dataset
Antonios Mamalakis, Imme Ebert‐Uphoff, Elizabeth A. Barnes
Environmental Data Science (2022) Vol. 1
Open Access | Times Cited: 76
A Survey of Adversarial Defenses and Robustness in NLP
Shreya Goyal, Sumanth Doddapaneni, Mitesh M. Khapra, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 14s, pp. 1-39
Closed Access | Times Cited: 52
An evolutionary explainable deep learning approach for Alzheimer's MRI classification
Shakila Shojaei, Mohammad Saniee Abadeh, Zahra Momeni
Expert Systems with Applications (2023) Vol. 220, pp. 119709-119709
Closed Access | Times Cited: 44
AI-enhanced blockchain technology: A review of advancements and opportunities
Dalila Ressi, Riccardo Romanello, Carla Piazza, et al.
Journal of Network and Computer Applications (2024) Vol. 225, pp. 103858-103858
Closed Access | Times Cited: 44
Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists
Carl Orge Retzlaff, Alessa Angerschmid, Anna Saranti, et al.
Cognitive Systems Research (2024) Vol. 86, pp. 101243-101243
Open Access | Times Cited: 32
Reviewing the role of AI in fraud detection and prevention in financial services
Olubusola Odeyemi, Noluthando Zamanjomane Mhlongo, Ekene Ezinwa Nwankwo, et al.
International Journal of Science and Research Archive (2024) Vol. 11, Iss. 1, pp. 2101-2110
Open Access | Times Cited: 16
Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives
Stefano Materia, Lluís Palma García, Chiem van Straaten, et al.
Wiley Interdisciplinary Reviews Climate Change (2024)
Open Access | Times Cited: 15
Advancements and future outlook of Artificial Intelligence in energy and climate change modeling
Mobolaji Shobanke, Mehul Bhatt, Ekundayo Shittu
Advances in Applied Energy (2025), pp. 100211-100211
Open Access | Times Cited: 1
Handling missing data in near real-time environmental monitoring: A system and a review of selected methods
Yifan Zhang, Peter J. Thorburn
Future Generation Computer Systems (2021) Vol. 128, pp. 63-72
Open Access | Times Cited: 96
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case
Natalia Díaz-Rodríguez, A. Lamas, Jules Sanchez, et al.
Information Fusion (2021) Vol. 79, pp. 58-83
Open Access | Times Cited: 76
Exploring machine learning potential for climate change risk assessment
Federica Zennaro, Elisa Furlan, Christian Simeoni, et al.
Earth-Science Reviews (2021) Vol. 220, pp. 103752-103752
Closed Access | Times Cited: 73
Investigating the Fidelity of Explainable Artificial Intelligence Methods for Applications of Convolutional Neural Networks in Geoscience
Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert‐Uphoff
Artificial Intelligence for the Earth Systems (2022) Vol. 1, Iss. 4
Open Access | Times Cited: 66
Quantum Natural Language Processing: Challenges and Opportunities
Raffaele Guarasci, Giuseppe De Pietro, Massimo Esposito
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5651-5651
Open Access | Times Cited: 41
Reviewing methods of deep learning for intelligent healthcare systems in genomics and biomedicine
Imran Zafar, Shakila Anwar, Faheem kanwal, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105263-105263
Closed Access | Times Cited: 32
A Comprehensive Review on Limitations of Autonomous Driving and Its Impact on Accidents and Collisions
Amit Chougule, Vinay Chamola, Aishwarya Sam, et al.
IEEE Open Journal of Vehicular Technology (2023) Vol. 5, pp. 142-161
Open Access | Times Cited: 32
The use of artificial intelligence-based innovations in the health sector in Tanzania: A scoping review
Felix Sukums, Deogratias Mzurikwao, Deodatus Sabas, et al.
Health Policy and Technology (2023) Vol. 12, Iss. 1, pp. 100728-100728
Open Access | Times Cited: 23
Data‐Driven Battery Characterization and Prognosis: Recent Progress, Challenges, and Prospects
Shanling Ji, Jianxiong Zhu, Yaxin Yang, et al.
Small Methods (2024) Vol. 8, Iss. 7
Closed Access | Times Cited: 14
BIM Integration with XAI Using LIME and MOO for Automated Green Building Energy Performance Analysis
Abdul Mateen Khan, Muhammad Abubakar Tariq, Sardar Kashif Ur Rehman, et al.
Energies (2024) Vol. 17, Iss. 13, pp. 3295-3295
Open Access | Times Cited: 13
Cooling tower modeling based on machine learning approaches: Application to Zero Liquid Discharge in desalination processes
María C. Bueso, Amanda Prado, Francisco García, et al.
Applied Thermal Engineering (2024) Vol. 242, pp. 122522-122522
Open Access | Times Cited: 9
Page 1 - Next Page

Scroll to top