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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:

The three-dimensional weakly supervised deep learning algorithm for traumatic splenic injury detection and sequential localization: an experimental study
Chi‐Tung Cheng, Hou-Shian Lin, Chih-Po Hsu, et al.
International Journal of Surgery (2023) Vol. 109, Iss. 5, pp. 1115-1124
Open Access | Times Cited: 12

Showing 12 citing articles:

Deep Learning for Automated Detection and Localization of Traumatic Abdominal Solid Organ Injuries on CT Scans
Chi‐Tung Cheng, Hou-Hsien Lin, Chih-Po Hsu, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1113-1123
Open Access | Times Cited: 13
Machine Learning Detection and Characterization of Splenic Injuries on Abdominal Computed Tomography
Mohammad Hamghalam, Robert B. Moreland, David Gómez, et al.
Canadian Association of Radiologists Journal (2024) Vol. 75, Iss. 3, pp. 534-541
Open Access | Times Cited: 10
The application of deep learning in abdominal trauma diagnosis by CT imaging
Xinru Shen, Yixin Zhou, Xueyu Shi, et al.
World Journal of Emergency Surgery (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 10
Applications of Deep Learning in Trauma Radiology: A Narrative Review
Chi‐Tung Cheng, Chun-Hsiang Ooyang, Chien-Hung Liao, et al.
Biomedical Journal (2024) Vol. 48, Iss. 1, pp. 100743-100743
Open Access | Times Cited: 6
The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset
Jeffrey D. Rudie, Hui Ming Lin, Robyn L. Ball, et al.
Radiology Artificial Intelligence (2024) Vol. 6, Iss. 6
Open Access | Times Cited: 6
Artificial intelligence for abdominopelvic trauma imaging: trends, gaps, and future directions
David Dreizin, Chi‐Tung Cheng, Chien‐Hung Liao, et al.
Abdominal Radiology (2025)
Closed Access
Automated detection of traumatic bleeding in CT images using 3D U-Net# and multi-organ segmentation
Rizki Nurfauzi, Ayaka Baba, Taka‐aki Nakada, et al.
Biomedical Physics & Engineering Express (2025) Vol. 11, Iss. 2, pp. 025026-025026
Closed Access
Using Interpretable Artificial Intelligence Algorithms in the Management of Blunt Splenic Trauma: Applications of Optimal Policy Trees as a Treatment Prescription Aid to Improve Patient Mortality
Vahe S Panossian, Yu Ma, Bolin Song, et al.
Bioengineering (2025) Vol. 12, Iss. 4, pp. 336-336
Open Access
Organ Proximity Analysis: A Novel Approach to Spleen Localization for Accurate Injury Grading in Abdominal CT Scans
Mohammad Hamghalam, Robert B. Moreland, David Gómez, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 1
The AI Revolution: Deep Learning’s Role in Abdominal Trauma Detection
G. Jothi, Ahmad Taher Azar, Nashwa Ahmad Kamal, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 303-316
Closed Access
RSNA 2023 Abdominal Trauma AI Challenge Review and Outcomes Analysis
Sebastiaan Hermans, Zixuan Hu, Robyn L. Ball, et al.
Radiology Artificial Intelligence (2024) Vol. 7, Iss. 1
Closed Access
Does Acuity and Severity of Injury Affect Trauma Whole-Body CT Report Turnaround Time? A Large-scale Study
Nathan Sarkar, Mustafa Khedr, David Dreizin
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
A 2-step deep learning approach to splenic injury detection
Yuling Chen, I‐Fang Chung, Chi‐Tung Cheng, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 1
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