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:

Rethinking Breast Cancer Diagnosis through Deep Learning Based Image Recognition
Daewon Kwak, Jiwoo Choi, Sung‐Jin Lee
Sensors (2023) Vol. 23, Iss. 4, pp. 2307-2307
Open Access | Times Cited: 15

Showing 15 citing articles:

Deep learning on medical image analysis
Jiaji Wang, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 9

Breast Cancer Classification Using Synthesized Deep Learning Model with Metaheuristic Optimization Algorithm
Selvakumar Thirumalaisamy, T. Kamaleshwar, Hariharan Rajadurai, et al.
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2925-2925
Open Access | Times Cited: 19

Application of image recognition technology in pathological diagnosis of blood smears
Wangxinjun Cheng, Jingshuang Liu, Chaofeng Wang, et al.
Clinical and Experimental Medicine (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4

Effectiveness of ConvNeXt variants in diabetic feet diagnosis using plantar thermal images
Oktay Fasihi-Shirehjini, Farshid Babapour Mofrad
Quantitative InfraRed Thermography Journal (2024), pp. 1-18
Closed Access | Times Cited: 3

DI-UNet: dual-branch interactive U-Net for skin cancer image segmentation
Wen Yin, Dongming Zhou, Rencan Nie
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 17, pp. 15511-15524
Closed Access | Times Cited: 7

Research on image recognition in human-computer interaction based on convolutional neural networks
Kairan Yang
Applied and Computational Engineering (2024) Vol. 36, Iss. 1, pp. 84-94
Open Access | Times Cited: 2

Augmented data strategies for enhanced computer vision performance in breast cancer diagnosis
Asieh Kaffashbashi, Vahid Sobhani, Fariba Goodarzian, et al.
Journal of Ambient Intelligence and Humanized Computing (2024) Vol. 15, Iss. 7, pp. 3093-3106
Closed Access | Times Cited: 2

Optimizing Parameter Extraction in Grid Information Models Based on Improved Convolutional Neural Networks
Xintong Li, Xiangjun Liu
Electronics (2024) Vol. 13, Iss. 14, pp. 2717-2717
Open Access | Times Cited: 1

Performance Analysis and Enhancement of Multi-Task Learning for Autonomous Driving
Woomin Jun, Minjun Son, Sung‐Jin Lee
2023 IEEE International Conference on Consumer Electronics (ICCE) (2024), pp. 1-4
Closed Access

Detection of Breast Cancer in Mammogram Images Using Multi Attention Feature Extraction with Hybrid RSA Based AlexNet
B. N. Jagadesh, Manjunatha Basavannappa Challageri, Nunsavatu V Naik, et al.
International Journal of Computational Methods and Experimental Measurements (2024) Vol. 12, Iss. 1, pp. 83-95
Open Access

Optimizing Image Recognition Algorithms with Differential Privacy Integration
Shao‐Yu Yang
Traitement du signal (2024) Vol. 41, Iss. 3, pp. 1451-1460
Open Access

Enhancing Breast Cancer Detection in Ultrasound Images: An Innovative Approach Using Progressive Fine‐Tuning of Vision Transformer Models
Meshrif Alruily, Alshimaa Abdelraof Mahmoud, Hisham Allahem, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access

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