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 State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development
Shiliang Ai, Chen Li, Xiaoyan Li, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-19
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection
Haoyuan Chen, Chen Li, Ge Wang, et al.
Pattern Recognition (2022) Vol. 130, pp. 108827-108827
Open Access | Times Cited: 170

IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach
Haoyuan Chen, Chen Li, Xiaoyan Li, et al.
Computers in Biology and Medicine (2022) Vol. 143, pp. 105265-105265
Open Access | Times Cited: 105

Unified deep learning models for enhanced lung cancer prediction with ResNet-50–101 and EfficientNet-B3 using DICOM images
Vinod Kumar, Chander Prabha, Preeti Sharma, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 16

A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches
Pingli Ma, Chen Li, Md Mamunur Rahaman, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1627-1698
Open Access | Times Cited: 68

A review: The detection of cancer cells in histopathology based on machine vision
Wenbin He, Ting Liu, Yongjie Han, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105636-105636
Closed Access | Times Cited: 39

CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer
Zizhen Fan, Xiangchen Wu, Changzhong Li, et al.
Computers in Biology and Medicine (2023) Vol. 162, pp. 107070-107070
Closed Access | Times Cited: 35

A review of cancer data fusion methods based on deep learning
Yuxin Zhao, Xiaobo Li, Changjun Zhou, et al.
Information Fusion (2024) Vol. 108, pp. 102361-102361
Closed Access | Times Cited: 15

Leveraging on Advanced Remote Sensing- and Artificial Intelligence-Based Technologies to Manage Palm Oil Plantation for Current Global Scenario: A Review
Mohammad Nishat Akhtar, Emaad Ansari, S. S. N. Alhady, et al.
Agriculture (2023) Vol. 13, Iss. 2, pp. 504-504
Open Access | Times Cited: 15

Fusion strategies for deep convolutional neural network representations in histopathological image classification
Nooshin Osmani, Erfan Esmaeeli, Sorayya Rezayi
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access

Analysis of Gait Characteristics of Patients with Knee Arthritis Based on Human Posture Estimation
Xinyu Lv, Na Ta, Tao Chen, et al.
BioMed Research International (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 14

A Deep Learning Quantification Algorithm for HER2 Scoring of Gastric Cancer
Zixin Han, Junlin Lan, Tao Wang, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 12

Optimized detection and segmentation of nuclei in gastric cancer images using stain normalization and blurred artifact removal
Oleg Martos, Md Ziaul Hoque, Anja Keskinarkaus, et al.
Pathology - Research and Practice (2023) Vol. 248, pp. 154694-154694
Open Access | Times Cited: 6

Pulse Signal Analysis Based on Deep Learning Network
E. Quanyu
BioMed Research International (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 7

Anas platyrhynchos optimizer with deep transfer learning-based gastric cancer classification on endoscopic images
Mashael Maashi, Yasser A. Ali, Abdelwahed Motwakel, et al.
Electronic Research Archive (2023) Vol. 31, Iss. 6, pp. 3200-3217
Open Access | Times Cited: 3

Prediction of Microsatellite Instability From Gastric Histological Images Based on Residual Attention Networks With Non-Local Modules
Sung‐Nien Yu, Shih‐Chiang Huang, Weichen Wang, et al.
IEEE Access (2023) Vol. 11, pp. 60374-60385
Open Access | Times Cited: 3

Automated Grading of Oral Squamous Cell Carcinoma into Multiple Classes Using Deep Learning Methods
Jelena Musulin, Daniel Štifanić, Ana Zulijani, et al.
2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) (2021), pp. 1-6
Closed Access | Times Cited: 7

The seen and the unseen: Molecular classification and image based-analysis of gastrointestinal cancers
Corina-Elena Minciuna, Mihai Tanase, Teodora Manuc, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 5065-5075
Open Access | Times Cited: 4

GCLDNet: Gastric cancer lesion detection network combining level feature aggregation and attention feature fusion
Xu Shi, Long Wang, Yu Li, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 3

Histopathology image analysis for gastric cancer detection: a hybrid deep learning and catboost approach
Danial Khayatian, Alireza Maleki, Hamid Nasiri, et al.
Multimedia Tools and Applications (2024)
Closed Access

Challenges in Accurately Using Artificial Intelligence and Machine Learning in Biomedical Imaging
Mayuri Sharma, Bidisha Goswami, Nabajyoti Goswami, et al.
Biological and medical physics series (2024), pp. 103-129
Closed Access

CFI-ViT: A coarse-to-fine inference based vision transformer for gastric cancer subtype detection using pathological images
Xinghang Wang, Haibo Tao, Bin Wang, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107160-107160
Closed Access

Virtual histopathology methods in medical imaging - a systematic review
Muhammad Imran, Imran Shafi, Jamil Ahmad, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access

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