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:
A novel dataset and efficient deep learning framework for automated grading of renal cell carcinoma from kidney histopathology images
Amit Kumar Chanchal, Shyam Lal, Ranjeet Kumar, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 30
Amit Kumar Chanchal, Shyam Lal, Ranjeet Kumar, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 30
Showing 1-25 of 30 citing articles:
A novel convolution transformer-based network for histopathology-image classification using adaptive convolution and dynamic attention
Tahir Mahmood, Abdul Wahid, Jin Seong Hong, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108824-108824
Open Access | Times Cited: 7
Tahir Mahmood, Abdul Wahid, Jin Seong Hong, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108824-108824
Open Access | Times Cited: 7
A Comprehensive Review of Artificial Intelligence Approaches in Kidney Cancer Medical Images Diagnosis, Datasets, Challenges and Issues and Future Directions
Dhuha Abdalredha Kadhim, Mazin Abed Mohammed
International Journal of Mathematics Statistics and Computer Science (2024) Vol. 2, pp. 199-243
Open Access | Times Cited: 6
Dhuha Abdalredha Kadhim, Mazin Abed Mohammed
International Journal of Mathematics Statistics and Computer Science (2024) Vol. 2, pp. 199-243
Open Access | Times Cited: 6
Leveraging explainable AI and large-scale datasets for comprehensive classification of renal histologic types
Seung Wan Moon, Jisup Kim, Young‐Jae Kim, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Seung Wan Moon, Jisup Kim, Young‐Jae Kim, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Digital pathology and artificial intelligence in renal cell carcinoma focusing on feature extraction: a literature review
Mingyue Li, Yu Pan, Yang Lv, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Mingyue Li, Yu Pan, Yang Lv, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
ProsGradNet: An effective and structured CNN approach for prostate cancer grading from histopathology images
Akshaya Prabhu, Sravya Nedungatt, Shyam Lal, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107626-107626
Closed Access
Akshaya Prabhu, Sravya Nedungatt, Shyam Lal, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107626-107626
Closed Access
AI-driven digital pathology in urological cancers: current trends and future directions
Inyoung Paik, Geongyu Lee, Joon-Ho Lee, et al.
Prostate International (2025)
Open Access
Inyoung Paik, Geongyu Lee, Joon-Ho Lee, et al.
Prostate International (2025)
Open Access
Pathology report generation from whole slide images with knowledge retrieval and multi-level regional feature selection
Dingyi Hu, Zhiguo Jiang, Jun Shi, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 263, pp. 108677-108677
Closed Access
Dingyi Hu, Zhiguo Jiang, Jun Shi, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 263, pp. 108677-108677
Closed Access
An Efficient Parallel Branch Network for Multi‐Class Classification of Prostate Cancer From Histopathological Images
Vishal Srivastava, Akshaya Prabhu, Sravya Nedungatt, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 3
Closed Access
Vishal Srivastava, Akshaya Prabhu, Sravya Nedungatt, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 3
Closed Access
Artificial Intelligence in Pathomics and Genomics of Renal Cell Carcinoma
J Knudsen, Joseph M. Rich, Runzhuo Ma
Urologic Clinics of North America (2023) Vol. 51, Iss. 1, pp. 47-62
Closed Access | Times Cited: 10
J Knudsen, Joseph M. Rich, Runzhuo Ma
Urologic Clinics of North America (2023) Vol. 51, Iss. 1, pp. 47-62
Closed Access | Times Cited: 10
Application of visual transformer in renal image analysis
Yuwei Yin, Zhixian Tang, Huachun Weng
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 3
Yuwei Yin, Zhixian Tang, Huachun Weng
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 3
Automatic Number Plate Recognition: A Deep Dive into YOLOv8 and ResNet-50 Integration
Rohan Chopade, Bhakti Ayarekar, Soham Mangore, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 3
Rohan Chopade, Bhakti Ayarekar, Soham Mangore, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 3
A Comprehensive Study of Deep Learning Methods for Kidney Tumor, Cyst, and Stone Diagnostics and Detection Using CT Images
Yogesh Kumar, Tejinder Pal Singh Brar, Chhinder Kaur, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 3
Yogesh Kumar, Tejinder Pal Singh Brar, Chhinder Kaur, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 3
A Weakly Supervised Deep Learning Model and Human–Machine Fusion for Accurate Grading of Renal Cell Carcinoma from Histopathology Slides
Qingyuan Zheng, Rui Yang, Hua‐Zhen Xu, et al.
Cancers (2023) Vol. 15, Iss. 12, pp. 3198-3198
Open Access | Times Cited: 9
Qingyuan Zheng, Rui Yang, Hua‐Zhen Xu, et al.
Cancers (2023) Vol. 15, Iss. 12, pp. 3198-3198
Open Access | Times Cited: 9
Artificial Intelligence in Surgical Training for Kidney Cancer: A Systematic Review of the Literature
Natali Rodriguez Peñaranda, Ahmed Eissa, Stefania Ferretti, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3070-3070
Open Access | Times Cited: 7
Natali Rodriguez Peñaranda, Ahmed Eissa, Stefania Ferretti, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3070-3070
Open Access | Times Cited: 7
FPGA implementation of deep learning architecture for kidney cancer detection from histopathological images
Shyam Lal, Amit Kumar Chanchal, Jyoti Kini, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 21, pp. 60583-60601
Closed Access | Times Cited: 2
Shyam Lal, Amit Kumar Chanchal, Jyoti Kini, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 21, pp. 60583-60601
Closed Access | Times Cited: 2
Histopathology language-image representation learning for fine-grained digital pathology cross-modal retrieval
Dingyi Hu, Zhiguo Jiang, Jun Shi, et al.
Medical Image Analysis (2024) Vol. 95, pp. 103163-103163
Closed Access | Times Cited: 2
Dingyi Hu, Zhiguo Jiang, Jun Shi, et al.
Medical Image Analysis (2024) Vol. 95, pp. 103163-103163
Closed Access | Times Cited: 2
Fusing global context with multiscale context for enhanced breast cancer classification
Niful Islam, Khan Md. Hasib, M. F. Mridha, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Niful Islam, Khan Md. Hasib, M. F. Mridha, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
A Survey of Kidney Cancer Analysis Using Machine Learning and Deep Learning Algorithms
Shital Gujarathi
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 2491-2501
Open Access | Times Cited: 1
Shital Gujarathi
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 2491-2501
Open Access | Times Cited: 1
RAF2Net: Automated grading of Renal cell Carcinoma utilizing Attention-enhanced deep learning models through Feature Fusion
Shreyan Kundu, Nirban Roy, Rahul Talukdar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Shreyan Kundu, Nirban Roy, Rahul Talukdar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Deep learning-based diagnosis and survival prediction of patients with renal cell carcinoma from primary whole slide images
Siteng Chen, Xiyue Wang, Jun Zhang, et al.
Pathology (2024) Vol. 56, Iss. 7, pp. 951-960
Closed Access | Times Cited: 1
Siteng Chen, Xiyue Wang, Jun Zhang, et al.
Pathology (2024) Vol. 56, Iss. 7, pp. 951-960
Closed Access | Times Cited: 1
Deep Learning Approaches Applied to Image Classification of Renal Tumors: A Systematic Review
Sandra Amador, Felix Beuschlein, Vedant Chauhan, et al.
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 615-622
Open Access | Times Cited: 3
Sandra Amador, Felix Beuschlein, Vedant Chauhan, et al.
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 615-622
Open Access | Times Cited: 3
Classification and grade prediction of kidney cancer histological images using deep learning
Amit Kumar Chanchal, N Sravya, Shyam Lal, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 32, pp. 78247-78267
Closed Access
Amit Kumar Chanchal, N Sravya, Shyam Lal, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 32, pp. 78247-78267
Closed Access
Managing Spam Images on Android: An Approach Utilizing Machine Learning and NLP
Om Ulhas Nagvekar, Sumeet Arun Kurbetti, Parth Nitin Sarnobat, et al.
Lecture notes in networks and systems (2024), pp. 823-835
Closed Access
Om Ulhas Nagvekar, Sumeet Arun Kurbetti, Parth Nitin Sarnobat, et al.
Lecture notes in networks and systems (2024), pp. 823-835
Closed Access
Leveraging Explainable AI and Large-Scale Datasets for Comprehensive Classification of Renal Histologic Types
Seung Wan Moon, Jisup Kim, Young‐Jae Kim, et al.
Research Square (Research Square) (2024)
Open Access
Seung Wan Moon, Jisup Kim, Young‐Jae Kim, et al.
Research Square (Research Square) (2024)
Open Access
Quantum Deep Learning for Automatic Chronic Kidney Disease Identification and Classification with CT images
Sajid Hussain, Songhua Xu, Muhammad Aslam, et al.
Research Square (Research Square) (2024)
Open Access
Sajid Hussain, Songhua Xu, Muhammad Aslam, et al.
Research Square (Research Square) (2024)
Open Access
