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:

A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues
Mu Yang, Karolina Nurzyńska, Ann E. Walts, et al.
Computerized Medical Imaging and Graphics (2020) Vol. 84, pp. 101752-101752
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review
Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin
Diagnostics (2024) Vol. 14, Iss. 5, pp. 484-484
Open Access | Times Cited: 17

The state of the art for artificial intelligence in lung digital pathology
Vidya Sankar Viswanathan, Paula Toro, Germán Corredor, et al.
The Journal of Pathology (2022) Vol. 257, Iss. 4, pp. 413-429
Open Access | Times Cited: 62

The Impact of Artificial Intelligence on Microbial Diagnosis
Ahmad Alsulimani, Naseem Akhter, Fatima Jameela, et al.
Microorganisms (2024) Vol. 12, Iss. 6, pp. 1051-1051
Open Access | Times Cited: 9

Artificial Intelligence and Mapping a New Direction in Laboratory Medicine: A Review
Daniel S. Herman, Daniel D. Rhoads, Wade L. Schulz, et al.
Clinical Chemistry (2021) Vol. 67, Iss. 11, pp. 1466-1482
Open Access | Times Cited: 53

Artificial intelligence in the clinical laboratory
Hanjing Hou, Rui Zhang, Jinming Li
Clinica Chimica Acta (2024) Vol. 559, pp. 119724-119724
Closed Access | Times Cited: 6

Interactive Deep Learning for Shelf Life Prediction of Muskmelons Based on an Active Learning Approach
Dominique Albert-Weiss, Ahmad Osman
Sensors (2022) Vol. 22, Iss. 2, pp. 414-414
Open Access | Times Cited: 26

Computational techniques for the automated detection of mycobacterium tuberculosis from digitized sputum smear microscopic images: A systematic review
Evans Kotei, Ramkumar Thirunavukarasu
Progress in Biophysics and Molecular Biology (2022) Vol. 171, pp. 4-16
Closed Access | Times Cited: 22

A New Artificial Intelligence-Based Method for Identifying Mycobacterium Tuberculosis in Ziehl–Neelsen Stain on Tissue
Sabina Zurac, Cristian Mogodici, Teodor Poncu, et al.
Diagnostics (2022) Vol. 12, Iss. 6, pp. 1484-1484
Open Access | Times Cited: 19

Using image processing and automated classification models to classify microscopic gram stain images
Kris Kristensen, Logan Ward, Mads Lause Mogensen, et al.
Computer Methods and Programs in Biomedicine Update (2022) Vol. 3, pp. 100091-100091
Open Access | Times Cited: 14

Active learning for left ventricle segmentation in echocardiography
Eman Alajrami, Tiffany Ng, Jevgeni Jevsikov, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 248, pp. 108111-108111
Open Access | Times Cited: 2

A Novel Digitized Microscopic Images of ZN-Stained Sputum Smear and Its Classification Based on IUATLD Grades
Suci Aulia, Andriyan Bayu Suksmono, Tati Rajab Mengko, et al.
IEEE Access (2024) Vol. 12, pp. 51364-51380
Open Access | Times Cited: 2

Lung Disease Detection Using U-Net Feature Extractor Cascaded by Graph Convolutional Network
Pshtiwan Qader Rashid, İlker Türker
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1313-1313
Open Access | Times Cited: 2

Artificial Intelligence in Risk Protection for Financial Payment Systems
Qiming Xu, Lidong Xu, Gaozhe Jiang, et al.
(2024)
Open Access | Times Cited: 2

Multilayer outperforms single-layer slide scanning in AI-based classification of whole slide images with low-burden acid-fast mycobacteria (AFB)
Karolina Nurzyńska, Dalin Li, Ann E. Walts, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 234, pp. 107518-107518
Open Access | Times Cited: 6

Pretrained Convolutional Neural Networks Perform Well in a Challenging Test Case: Identification of Plant Bugs (Hemiptera: Miridae) Using a Small Number of Training Images
Alexander Knyshov, Samantha Hoang, Christiane Weirauch
Insect Systematics and Diversity (2021) Vol. 5, Iss. 2
Closed Access | Times Cited: 13

Deep Neural Network-Aided Histopathological Analysis of Myocardial Injury
Yiping Jiao, Jie Yuan, Oluwatofunmi Modupeoluwa Sodimu, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 8
Open Access | Times Cited: 9

A systematic review and repeatability study on the use of deep learning for classifying and detecting tuberculosis bacilli in microscopic images
Thales Francisco Mota Carvalho, Vívian Ludimila Aguiar Santos, José Cleydson F. Silva, et al.
Progress in Biophysics and Molecular Biology (2023) Vol. 180-181, pp. 1-18
Closed Access | Times Cited: 5

MotilityJ: An open-source tool for the classification and segmentation of bacteria on motility images
Ángela Casado-García, Gabriela Chichón, César Domínguez, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104673-104673
Closed Access | Times Cited: 12

Deep learning segmentation of endothelial cell images using an active learning paradigm with guided label corrections
Naomi Joseph, Ian Marshall, Elizabeth Fitzpatrick, et al.
Journal of Medical Imaging (2024) Vol. 11, Iss. 01
Closed Access | Times Cited: 1

Using transfer learning with a convolutional neural network to detect African manatee (Trichechus senegalensis) vocalizations
Athena Rycyk, Dunsin Abimbola Bolaji, Clinton Factheu, et al.
JASA Express Letters (2022) Vol. 2, Iss. 12
Open Access | Times Cited: 6

Staining condition visualization in digital histopathological whole-slide images
Yiping Jiao, Junhong Li, Shumin Fei
Multimedia Tools and Applications (2022) Vol. 81, Iss. 13, pp. 17831-17847
Closed Access | Times Cited: 5

Detection of Mycobacterium Tuberculosis Using Residual Neural Network
Agung W. Setiawan, Muhammad Ilhamdi Rusydi
(2022), pp. 7-11
Closed Access | Times Cited: 4

Demonstration of Neural Networks to Reconstruct Temperatures from Simulated Fluorescent Data Toward Use in Bio-microfluidics
Jacob Kullberg, Jacob Colton, C. Tolex Gregory, et al.
International Journal of Thermophysics (2022) Vol. 43, Iss. 11
Open Access | Times Cited: 4

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