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:

Attention-guided multi-scale deep object detection framework for lymphocyte analysis in IHC histological images
Zunaira Rauf, Anabia Sohail, Saddam Hussain Khan, et al.
Microscopy (2022) Vol. 72, Iss. 1, pp. 27-42
Closed Access | Times Cited: 17

Showing 17 citing articles:

A survey of the vision transformers and their CNN-transformer based variants
Asifullah Khan, Zunaira Rauf, Anabia Sohail, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S3, pp. 2917-2970
Closed Access | Times Cited: 70

Brain Tumor MRI Classification Using a Novel Deep Residual and Regional CNN
Mirza Mumtaz Zahoor, Saddam Hussain Khan, Tahani Jaser Alahmadi, et al.
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1395-1395
Open Access | Times Cited: 12

Improving prediction of cervical cancer using KNN imputer and multi-model ensemble learning
Turki Aljrees
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0295632-e0295632
Open Access | Times Cited: 10

A new deep boosted CNN and ensemble learning based IoT malware detection
Saddam Hussain Khan, Tahani Jaser Alahmadi, Wasi Ullah, et al.
Computers & Security (2023) Vol. 133, pp. 103385-103385
Open Access | Times Cited: 18

COVID-19 infection analysis framework using novel boosted CNNs and radiological images
Saddam Hussain Khan, Tahani Jaser Alahmadi, Tariq Alsahfi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10

DBU-Net: Dual branch U-Net for tumor segmentation in breast ultrasound images
Payel Pramanik, Rishav Pramanik, Friedhelm Schwenker, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0293615-e0293615
Open Access | Times Cited: 9

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset
Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 3, pp. 1161-1172
Open Access | Times Cited: 6

CB-HVT Net: A Channel-Boosted Hybrid Vision Transformer Network for Lymphocyte Detection in Histopathological Images
Momina Liaqat Ali, Zunaira Rauf, Asifullah Khan, et al.
IEEE Access (2023) Vol. 11, pp. 115740-115750
Open Access | Times Cited: 5

Novel Deep CNNs Explore Regions, Boundaries, and Residual Learning for COVID-19 Infection Analysis in Lung CT
Bader Alshemaimri
Tomography (2024) Vol. 10, Iss. 8, pp. 1205-1221
Open Access | Times Cited: 1

Lymphocyte detection for cancer analysis using a novel fusion block based channel boosted CNN
Zunaira Rauf, Abdul Rehman Khan, Anabia Sohail, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4

Enhanced Pelican Optimization Algorithm with Deep Learning-Driven Mitotic Nuclei Classification on Breast Histopathology Images
Fadwa Alrowais, Faiz Abdullah Alotaibi, Abdulkhaleq Q. A. Hassan, et al.
Biomimetics (2023) Vol. 8, Iss. 7, pp. 538-538
Open Access | Times Cited: 2

DeYOLO: A CNN Based Novel Approach for Classification and Localization of Pneumonia in Chest Radiographs
Murukessan Perumal, E. Goutham, Debraj Das, et al.
Communications in computer and information science (2024), pp. 382-393
Closed Access

Novel Deep CNNs Explore Regions, Boundaries, and Residual Learning for COVID-19 Infection Analysis in Lung CT
Bader Alshemaimri, Saddam Hussain Khan
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Brain tumor classification in VIT-B/16 based on relative position encoding and residual MLP
Shuang Hong, Jin Wu, Lei Zhu, et al.
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0298102-e0298102
Open Access

BreasTDLUSeg: A coarse-to-fine framework for segmentation of breast terminal duct lobular units on histopathological whole-slide images
Zixiao Lu, Kai Tang, Yi Wu, et al.
Computerized Medical Imaging and Graphics (2024), pp. 102432-102432
Closed Access

Multi-Class Classification and Detection of Brain Tumor ROI: Yolov9-CNN
Priyanshu Sharma, Garima Jain, Pratham Darshan Kumar Thakkar, et al.
(2024), pp. 1-10
Closed Access

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