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:

Predicting gene mutation status via artificial intelligence technologies based on multimodal integration (MMI) to advance precision oncology
Jun Shao, Jiechao Ma, Qin Zhang, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 1-15
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

The long-term health outcomes, pathophysiological mechanisms and multidisciplinary management of long COVID
Jingwei Li, Yun Zhou, Jiechao Ma, et al.
Signal Transduction and Targeted Therapy (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 59

Potential of CDC25 phosphatases in cancer research and treatment: key to precision medicine
Ibraheem Dakilah, Amani A. Harb, Eman Abu‐Gharbieh, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 10

Data-driven risk stratification and precision management of pulmonary nodules detected on chest computed tomography
Chengdi Wang, Jun Shao, Yichu He, et al.
Nature Medicine (2024) Vol. 30, Iss. 11, pp. 3184-3195
Open Access | Times Cited: 9

Radiomics in breast cancer: Current advances and future directions
Ying-Jia Qi, Guan-Hua Su, Chao You, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 9, pp. 101719-101719
Open Access | Times Cited: 8

Invasion and metastasis in cancer: molecular insights and therapeutic targets
Yongxing Li, Fengshuo Liu, Qingjin Cai, et al.
Signal Transduction and Targeted Therapy (2025) Vol. 10, Iss. 1
Open Access

Hallmarks of artificial intelligence contributions to precision oncology
Tiangen Chang, Seongyong Park, Alejandro A. Schäffer, et al.
Nature Cancer (2025)
Closed Access

SNUH methylation classifier for CNS tumors
Kwang-Hoon Lee, Jaemin Jeon, Jin Woo Park, et al.
Clinical Epigenetics (2025) Vol. 17, Iss. 1
Open Access

Novel tools for early diagnosis and precision treatment based on artificial intelligence
Jun Shao, Jiaming Feng, Jingwei Li, et al.
Chinese Medical Journal - Pulmonary and Critical Care Medicine (2023) Vol. 1, Iss. 3, pp. 148-160
Open Access | Times Cited: 12

Toward Realizing the Promise of AI in Precision Health Across the Spectrum of Care
Jenna Wiens, Kayte Spector‐Bagdady, Bhramar Mukherjee
Annual Review of Genomics and Human Genetics (2024) Vol. 25, Iss. 1, pp. 141-159
Closed Access | Times Cited: 4

A multimodal integration pipeline for accurate diagnosis, pathogen identification, and prognosis prediction of pulmonary infections
Jun Shao, Jiechao Ma, Yizhou Yu, et al.
The Innovation (2024) Vol. 5, Iss. 4, pp. 100648-100648
Open Access | Times Cited: 4

Troponin C gene mutations on cardiac muscle cell and skeletal Regulation: A comprehensive review
Abdullahi Tunde Aborode, Ridwan Olamilekan Adesola, Ibrahim Idris, et al.
Gene (2024) Vol. 927, pp. 148651-148651
Closed Access | Times Cited: 4

Application of artificial intelligence in coal mine ultra-deep roadway engineering—a review
Bingbing Yu, Bo Wang, Yuantong Zhang
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 3

Persistent increase and improved survival of stage I lung cancer based on a large-scale real-world sample of 26,226 cases
Chengdi Wang, Jun Shao, Lujia Song, et al.
Chinese Medical Journal (2023) Vol. 136, Iss. 16, pp. 1937-1948
Open Access | Times Cited: 9

Artificial intelligence enhances the management of esophageal squamous cell carcinoma in the precision oncology era
Wan-Yue Zhang, Yong-Jian Chang, Ruihua Shi
World Journal of Gastroenterology (2024) Vol. 30, Iss. 39, pp. 4267-4280
Closed Access | Times Cited: 1

Developing a weakly supervised deep learning framework for breast cancer diagnosis with HR status based on mammography images
Mengyan Zhang, Cong Wang, Li Cai, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 22, pp. 17-26
Open Access | Times Cited: 4

Artificial Intelligence and Lung Pathology
Emanuel Caranfil, Kris Lami, Wataru Uegami, et al.
Advances in Anatomic Pathology (2024) Vol. 31, Iss. 5, pp. 344-351
Closed Access | Times Cited: 1

Deep learning-based multimodal spatial transcriptomics analysis for cancer
Pankaj Rajdeo, Bruce J. Aronow, V. B. Surya Prasath
Advances in cancer research (2024), pp. 1-38
Open Access | Times Cited: 1

Accuracy of Machine Learning in Discriminating Kawasaki Disease and Other Febrile Illnesses: Systematic Review and Meta-Analysis
Jinpu Zhu, Fushuang Yang, Yang Wang, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e57641-e57641
Open Access | Times Cited: 1

Artificial intelligence and digital pathology: where are we now and what are the implementation barriers?
Benjamin Moxley-Wyles, Richard Colling
Diagnostic histopathology (2024) Vol. 30, Iss. 11, pp. 597-603
Closed Access

Advancing Clinical Practice: The Potential of Multimodal Technology in Modern Medicine
Yaara Artsi, Vera Sorin, Benjamin S. Glicksberg, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 20, pp. 6246-6246
Open Access

Risk Prediction Models for Gastric Cancer: A Scoping Review
Linyu Xu, Jianxia Lyu, Xutong Zheng, et al.
Journal of Multidisciplinary Healthcare (2024) Vol. Volume 17, pp. 4337-4352
Open Access

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