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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:

Fully automated segmentation of a hip joint using the patient-specific optimal thresholding and watershed algorithm
Jung Jin Kim, Jimin Nam, In Gwun Jang
Computer Methods and Programs in Biomedicine (2017) Vol. 154, pp. 161-171
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A deep learning-based approach to automatic proximal femur segmentation in quantitative CT images
Yu Deng, Ling Wang, Zhao Chen, et al.
Medical & Biological Engineering & Computing (2022) Vol. 60, Iss. 5, pp. 1417-1429
Closed Access | Times Cited: 35
Three-Dimensional Feature-Enhanced Network for Automatic Femur Segmentation
Fang Chen, Jia Liu, Zhe Zhao, et al.
IEEE Journal of Biomedical and Health Informatics (2017) Vol. 23, Iss. 1, pp. 243-252
Closed Access | Times Cited: 51
Gender differences in L1 vertebral strength in adults 50+ using automated CT-based finite element analysis
Hsiang-Ho Chen, Chieh-Wei Wu, Yu‐Ting Cheng, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Multiscale hybrid algorithm for pre-processing of ultrasound images
Ademola E. Ilesanmi, Oluwagbenga Paul Idowu, Utairat Chaumrattanakul, et al.
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102396-102396
Closed Access | Times Cited: 29
A Smart Droplet Detection Approach With Vision Sensing Technique for Agricultural Aviation Application
Linhui Wang, Wenping Song, Yubin Lan, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 16, pp. 17508-17516
Closed Access | Times Cited: 29
Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification
Imad Eddine Ibrahim Bekkouch, Bulat Maksudov, Semen Kiselev, et al.
Medical Image Analysis (2022) Vol. 78, pp. 102417-102417
Open Access | Times Cited: 21
A Review of CT-Based Fracture Risk Assessment with Finite Element Modeling and Machine Learning
Ingmar Fleps, Elise F. Morgan
Current Osteoporosis Reports (2022) Vol. 20, Iss. 5, pp. 309-319
Open Access | Times Cited: 18
Fragment distance-guided dual-stream learning for automatic pelvic fracture segmentation
Bolun Zeng, Huixiang Wang, Leo Joskowicz, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 116, pp. 102412-102412
Closed Access | Times Cited: 3
Utility of a novel integrated deep convolutional neural network for the segmentation of hip joint from computed tomography images in the preoperative planning of total hip arthroplasty
Dong Wu, Xin Zhi, Xingyu Liu, et al.
Journal of Orthopaedic Surgery and Research (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 14
Computational study of estimating 3D trabecular bone microstructure for the volume of interest from CT scan data
Jung Jin Kim, Jimin Nam, In Gwun Jang
International Journal for Numerical Methods in Biomedical Engineering (2017) Vol. 34, Iss. 4
Closed Access | Times Cited: 25
Patient-Specific Phantomless Estimation of Bone Mineral Density and Its Effects on Finite Element Analysis Results: A Feasibility Study
Young Han Lee, Jung Jin Kim, In Gwun Jang
Computational and Mathematical Methods in Medicine (2019) Vol. 2019, pp. 1-10
Open Access | Times Cited: 23
Image-based finite-element modeling of the human femur
Cristina Falcinelli, Cari Whyne
Computer Methods in Biomechanics & Biomedical Engineering (2020) Vol. 23, Iss. 14, pp. 1138-1161
Closed Access | Times Cited: 23
Can machine learning predict the accuracy of preoperative planning for total hip arthroplasty, basing on patient-related factors? An explorative investigation on Supervised machine learning classification models.
Biagio Zampogna, Guglielmo Torre, Andrea Zampoli, et al.
Journal of Clinical Orthopaedics and Trauma (2024) Vol. 53, pp. 102470-102470
Open Access | Times Cited: 2
Automated segmentation of cortical and trabecular bone to generate finite element models for femoral bone mechanics
Sami P. Väänänen, Lorenzo Grassi, Mikko S. Venäläinen, et al.
Medical Engineering & Physics (2019) Vol. 70, pp. 19-28
Closed Access | Times Cited: 21
Efficient cascaded V‐net optimization for lower extremity CT segmentation validated using bone morphology assessment
Ruurd J. A. Kuiper, Ralph J. B. Sakkers, Marijn van Stralen, et al.
Journal of Orthopaedic Research® (2022) Vol. 40, Iss. 12, pp. 2894-2907
Open Access | Times Cited: 9
Accuracy and reliability analysis of a machine learning based segmentation tool for intertrochanteric femoral fracture CT
Dongdong Wang, Zhenhua Wu, Guoxin Fan, et al.
Frontiers in Surgery (2022) Vol. 9
Open Access | Times Cited: 9
Digital chain for pelvic tumor resection with 3D-printed surgical cutting guides
Vincent Biscaccianti, Henri Fragnaud, Jean-Yves Hascoët, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 9
Two-stage multi-task deep learning framework for simultaneous pelvic bone segmentation and landmark detection from CT images
Haoyu Zhai, Zhonghua Chen, Lei Li, et al.
International Journal of Computer Assisted Radiology and Surgery (2023) Vol. 19, Iss. 1, pp. 97-108
Closed Access | Times Cited: 5
WAILS: Watershed Algorithm With Image-Level Supervision for Weakly Supervised Semantic Segmentation
Hongming Zhou, Kang Song, Xianglei Zhang, et al.
IEEE Access (2019) Vol. 7, pp. 42745-42756
Open Access | Times Cited: 15
A vertical profile imaging method for quantifying rock fragments in gravelly soil
Zhuo-Dong Jiang, Qiubing Wang, Kabindra Adhikari, et al.
CATENA (2020) Vol. 193, pp. 104590-104590
Closed Access | Times Cited: 13
A New Watershed Algorithm for Pothole Image Segmentation
Tutuk Indriyani, Mohammad Imam Utoyo, Riries Rulaningtyas
Studies in Informatics and Control (2021) Vol. 30, Iss. 3, pp. 131-139
Open Access | Times Cited: 11
MsgeCNN: Multiscale geometric embedded convolutional neural network for ONFH segmentation and grading
Xiang Li, Songcen Lv, Chuanxin Tong, et al.
Medical Physics (2023) Vol. 50, Iss. 6, pp. 3788-3800
Closed Access | Times Cited: 3
A new scheme for automatic 2D detection of spheric and aspheric femoral heads: A case study on coronal MR images of bilateral hip joints of patients with Legg-Calve-Perthes disease
Abbas Memiş, Songül Albayrak, Fuat Bilgili
Computer Methods and Programs in Biomedicine (2019) Vol. 175, pp. 83-93
Closed Access | Times Cited: 8
Automated femur segmentation from computed tomography images using a deep neural network
Páll Ásgeir Björnsson, Benedikt Helgason, Halldór Pálsson, et al.
(2021), pp. 47-47
Open Access | Times Cited: 6
Loop-Wise Route Representation and Its Optimization Formulation for Symmetric Traveling Salesman Problems
Geunu Kim, Hyunwoo Jin, Mingi Kim, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 9, pp. 9490-9500
Closed Access | Times Cited: 2
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