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:

Grad-CAM-Based Explainable Artificial Intelligence Related to Medical Text Processing
Hongjian Zhang, Katsuhiko Ogasawara
Bioengineering (2023) Vol. 10, Iss. 9, pp. 1070-1070
Open Access | Times Cited: 22

Showing 22 citing articles:

Towards unbiased skin cancer classification using deep feature fusion
Ali Atshan Abdulredah, Mohammed A. Fadhel, Laith Alzubaidi, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Deep learning-based MVIT-MLKA model for accurate classification of pancreatic lesions: a multicenter retrospective cohort study
Hongfan Liao, Cheng Huang, Chunhua Liu, et al.
La radiologia medica (2025)
Closed Access
Accuracy of a Cascade Network for Semi‐Supervised Maxillary Sinus Detection and Sinus Cyst Classification
Xueqi Guo, Zelun Huang, Jieying Huang, et al.
Clinical Implant Dentistry and Related Research (2025) Vol. 27, Iss. 1
Closed Access
FocusAugMix: A Data Augmentation Method for Enhancing Acute Lymphoblastic Leukemia Classification
Tanzilal Mustaqim, Chastine Fatichah, Nanik Suciati, et al.
Intelligent Systems with Applications (2025), pp. 200512-200512
Open Access
Attention mechanism-based multi-parametric MRI ensemble model for predicting tumor budding grade in rectal cancer patients
Jianye Jia, Yue Jai Kang, Jiahao Wang, et al.
Abdominal Radiology (2025)
Closed Access
New research progress on 18F-FDG PET/CT radiomics for EGFR mutation prediction in lung adenocarcinoma: a review
Xinyu Ge, Jianxiong Gao, Rong Niu, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 9
Explainable AI-Based Humerus Fracture Detection and Classification from X-Ray Images
Koushick Barua, Tanjim Mahmud, Anik Barua, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 9
BERT-based language model for accurate drug adverse event extraction from social media: implementation, evaluation, and contributions to pharmacovigilance practices
Fan Dong, Wenjing Guo, Jie Liu, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 3
Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence
Kazi Ahnaf Alavee, Mehedi Hasan, Abu Hasnayen Zillanee, et al.
IEEE Access (2024) Vol. 12, pp. 73950-73969
Open Access | Times Cited: 3
Predicting rectal cancer tumor budding grading based on MRI and CT with multimodal deep transfer learning: A dual-center study
Ziyan Liu, Jianye Jia, Fan Bai, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28769-e28769
Open Access | Times Cited: 2
Improving flood forecast accuracy based on explainable convolutional neural network by Grad-CAM method
Xin Xiang, Shenglian Guo, Zhen Cui, et al.
Journal of Hydrology (2024) Vol. 642, pp. 131867-131867
Open Access | Times Cited: 2
2.5D deep learning based on multi-parameter MRI to differentiate primary lung cancer pathological subtypes in patients with brain metastases
Jinling Zhu, Li Zou, Xin Xie, et al.
European Journal of Radiology (2024) Vol. 180, pp. 111712-111712
Closed Access | Times Cited: 2
Recent Applications of Explainable AI (XAI): A Systematic Literature Review
Mirka Saarela, Vili Podgorelec
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8884-8884
Open Access | Times Cited: 2
Artificial intelligence-based pathological analysis of liver cancer: Current advancements and interpretative strategies
Guangyu Ding, Jie-Yi Shi, Xiaodong Wang, et al.
iLiver (2024) Vol. 3, Iss. 1, pp. 100082-100082
Open Access | Times Cited: 1
Multi-feature Fusion Network on Gray Scale Ultrasonography: Effective Differentiation of Adenolymphoma and Pleomorphic Adenoma
Yi Mao, Li-Ping Jiang, Jing-Ling Wang, et al.
Academic Radiology (2024) Vol. 31, Iss. 11, pp. 4396-4407
Open Access | Times Cited: 1
Explainable AI in Healthcare: Systematic Review of Clinical Decision Support Systems
Noor A. Aziz, Awais Manzoor, Muhammad Deedahwar Mazhar Qureshi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Whole slide image-based weakly supervised deep learning for predicting major pathological response in non-small cell lung cancer following neoadjuvant chemoimmunotherapy: a multicenter, retrospective, cohort study
Dan Han, Hao Li, Xin Zheng, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 1
A Novel Survey on Image Classification Models for Explainable Predictions using Computer Vision
Lakkuru Venkata Koushik, A.V. Reddy, K Rithvik, et al.
(2024), pp. 7-12
Closed Access
Navigating the Frontier of Generative AI Integration in Healthcare
Vikas Kaduskar, Harshada Mhetre, Supriya M. Khatavkar, et al.
Advances in healthcare information systems and administration book series (2024), pp. 261-289
Closed Access
Development and validation of a multi-parametric MRI deep-learning model for preoperative lymphovascular invasion evaluation in rectal cancer
Shengming Shi, Apekshya Singh, Jiaqi Ma, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 15, Iss. 1, pp. 427-439
Open Access
Deep learning radiomics nomograms predict Isocitrate dehydrogenase (IDH) genotypes in brain glioma: A multicenter study
Darui Li, Wanjun Hu, Laiyang Ma, et al.
Magnetic Resonance Imaging (2024), pp. 110314-110314
Closed Access
Extracting White-Box Knowledge from Word Embedding: Modeling as an Optimization Problem
Julie Jacques, Alexander Bassett
Lecture notes in computer science (2024), pp. 178-183
Closed Access
A combined model integrating radiomics and deep learning based on multiparametric magnetic resonance imaging for classification of brain metastases
Bo Zhang, Jinling Zhu, Ruizhe Xu, et al.
Acta Radiologica (2024)
Closed Access
Ulcerative Colitis, LAIR1 and TOX2 Expression, and Colorectal Cancer Deep Learning Image Classification Using Convolutional Neural Networks
Joaquim Carreras, Giovanna Roncador, Rifat Hamoudi
Cancers (2024) Vol. 16, Iss. 24, pp. 4230-4230
Open Access
Page 1

Scroll to top