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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:

HD-RDS-UNet: Leveraging Spatial-Temporal Correlation Between the Decoder Feature Maps for Lymphoma Segmentation
Meng Wang, Huiyan Jiang, Tianyu Shi, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 3, pp. 1116-1127
Closed Access | Times Cited: 20

Showing 20 citing articles:

Review of Semantic Segmentation of Medical Images Using Modified Architectures of UNET
M. Krithika alias AnbuDevi, K. Suganthi
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3064-3064
Open Access | Times Cited: 69
UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias
Jasjit S. Suri, Mrinalini Bhagawati, Sushant Agarwal, et al.
IEEE Access (2022) Vol. 11, pp. 595-645
Open Access | Times Cited: 47
ISA-Net: Improved spatial attention network for PET-CT tumor segmentation
Zhengyong Huang, Sijuan Zou, Guoshuai Wang, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107129-107129
Open Access | Times Cited: 13
Deep learning for automatic tumor lesions delineation and prognostic assessment in multi-modality PET/CT: A prospective survey
Muhammad Zubair Islam, Rizwan Ali Naqvi, Amir Haider, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106276-106276
Closed Access | Times Cited: 7
Metabolic Anomaly Appearance Aware U-Net for Automatic Lymphoma Segmentation in Whole-Body PET/CT Scans
Tianyu Shi, Huiyan Jiang, Meng Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 5, pp. 2465-2476
Closed Access | Times Cited: 6
C2BA-UNet: A context-coordination multi-atlas boundary-aware UNet-like method for PET/CT images based tumor segmentation
Shijie Luo, Huiyan Jiang, Meng Wang
Computerized Medical Imaging and Graphics (2022) Vol. 103, pp. 102159-102159
Open Access | Times Cited: 10
Joint Lymphoma Lesion Segmentation and Prognosis Prediction From Baseline FDG-PET Images via Multitask Convolutional Neural Networks
Peng Liu, Miao Zhang, Xiaoru Gao, et al.
IEEE Access (2022) Vol. 10, pp. 81612-81623
Open Access | Times Cited: 9
Multi-modal tumor segmentation methods based on deep learning: a narrative review
Hengzhi Xue, Yudong Yao, Yueyang Teng
Quantitative Imaging in Medicine and Surgery (2023) Vol. 14, Iss. 1, pp. 1122-1140
Open Access | Times Cited: 5
Improving Breast Tumor Segmentation in PET via Attentive Transformation Based Normalization
Xiaoya Qiao, Chunjuan Jiang, Panli Li, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 7, pp. 3261-3271
Closed Access | Times Cited: 8
Domain-Aware Dual Attention for Generalized Medical Image Segmentation on Unseen Domains
Huilin Lai, Ye Luo, Bo Li, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 5, pp. 2399-2410
Closed Access | Times Cited: 4
PSR-Nets: Deep neural networks with prior shift regularization for PET/CT based automatic, accurate, and calibrated whole-body lymphoma segmentation
Meng Wang, Huiyan Jiang, Tianyu Shi, et al.
Computers in Biology and Medicine (2022) Vol. 151, pp. 106215-106215
Closed Access | Times Cited: 7
SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation
Meng Wang, Huiyan Jiang, Tianyu Shi, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 1048-1059
Closed Access | Times Cited: 7
Memory-Net: Coupling feature maps extraction and hierarchical feature maps reuse for efficient and effective PET/CT multi-modality image-based tumor segmentation
Meng Wang, Huiyan Jiang
Knowledge-Based Systems (2023) Vol. 265, pp. 110399-110399
Closed Access | Times Cited: 2
PST-Radiomics: a PET/CT lymphoma classification method based on pseudo spatial-temporal radiomic features and structured atrous recurrent convolutional neural network
Meng Wang, Huiyan Jiang
Physics in Medicine and Biology (2023) Vol. 68, Iss. 23, pp. 235014-235014
Closed Access | Times Cited: 2
Image segmentation of mouse eye in vivo with optical coherence tomography based on Bayesian classification
Fei Ma, Shengbo Wang, Yanfei Guo, et al.
Biomedical Engineering / Biomedizinische Technik (2024) Vol. 69, Iss. 3, pp. 307-315
Closed Access
LSKA-Unet: Large Separable Kernel Attention Mechanism and Unet Modeling Combined for Cell Segmentation
令然 孟
Modeling and Simulation (2024) Vol. 13, Iss. 06, pp. 6027-6036
Closed Access
Transfer Learning with a Graph Attention Network and Weighted Loss Function for Screening of Persistent, Bioaccumulative, Mobile, and Toxic Chemicals
Haobo Wang, Wenjia Liu, Jingwen Chen, et al.
Environmental Science & Technology (2024)
Closed Access
FRMHPCA: Design of an Efficient Feature Representation Model for Monitoring Health Parameters Via Correlation Analysis
Sivanagaraju Vallabhuni, Kumar Debasis
(2023), pp. 1-5
Closed Access
MTR-PET: Multi-temporal resolution PET images for lymphoma segmentation
Wenbo Pang, Siqi Li, Huiyan Jiang, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105529-105529
Closed Access
CBDL-UNet: UNet with Class Balanced Dice Loss for Foreground-Background Class-Imbalance Lymphoma Segmentation in PET Images
Rui Liu, Meng Wang, Huiyan Jiang
(2022), pp. 43-48
Closed Access
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