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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:

Machine Learning-Based Integration Develops a Macrophage-Related Index for Predicting Prognosis and Immunotherapy Response in Lung Adenocarcinoma
Zuwei Li, Minzhang Guo, Wanli Lin, et al.
Archives of Medical Research (2023) Vol. 54, Iss. 7, pp. 102897-102897
Closed Access | Times Cited: 12

Showing 12 citing articles:

Integrated analysis of M2 macrophage-related gene prognostic model and single-cell sequence to predict immunotherapy response in lung adenocarcinoma
Meifang Li, Zhiping Wang, Bin Huang, et al.
Frontiers in Genetics (2025) Vol. 16
Open Access
Machine learning developed an intratumor heterogeneity signature for predicting prognosis and immunotherapy benefits in cholangiocarcinoma
Xu Chen, Bo Sun, Yu Chen, et al.
Translational Oncology (2024) Vol. 43, pp. 101905-101905
Open Access | Times Cited: 4
Machine learning developed an intratumor heterogeneity signature for predicting prognosis and immunotherapy benefits in skin cutaneous melanoma
Wei Zhang, Shuai Wang
Melanoma Research (2024)
Closed Access | Times Cited: 3
Advancing predictive markers in lung adenocarcinoma: A machine learning‐based immunotherapy prognostic prediction signature
Zhongyan Li, Shengbin Pei, Yanjuan Wang, et al.
Environmental Toxicology (2024) Vol. 39, Iss. 10, pp. 4581-4593
Closed Access | Times Cited: 3
Pan-cancer dissection of vasculogenic mimicry characteristic to provide potential therapeutic targets
Hai-bin Tang, Liu-xun Chen, Xv-dong Liu, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 2
Machine learning-based cell death signature for predicting the prognosis and immunotherapy benefit in stomach adenocarcinoma
Li Fan, Qian Feng, Ran Tao
Medicine (2024) Vol. 103, Iss. 10, pp. e37314-e37314
Open Access | Times Cited: 1
Machine learning developed a fibroblast-related signature for predicting clinical outcome and drug sensitivity in ovarian cancer
Wei Fu, Qian Feng, Ran Tao
Medicine (2024) Vol. 103, Iss. 16, pp. e37783-e37783
Open Access | Times Cited: 1
Machine learning developed an intratumor heterogeneity signature for predicting clinical outcome and immunotherapy benefit in bladder cancer
Cheng Chen, Jun Zhang, Xiaoshuang Liu, et al.
Translational Andrology and Urology (2024) Vol. 13, Iss. 7, pp. 1104-1117
Open Access | Times Cited: 1
A basement membrane-related signature for prognosis and immunotherapy benefit in bladder cancer based on machine learning
Yunuo Zhang, Jingna Wu, Xinhong Liang
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Machine learning constructs a T cell related signature for predicting prognosis and drug sensitivity in ovarian cancer
Yunzheng Zhang, Lipeng Pei
Aging (2024) Vol. 16, Iss. 4, pp. 3332-3349
Open Access
A platelet-related signature for predicting the prognosis and immunotherapy benefit in bladder cancer based on machine learning combinations
Cheng Chen, Jun Zhang, Xiaoshuang Liu, et al.
Translational Andrology and Urology (2024) Vol. 13, Iss. 8, pp. 1472-1485
Open Access
Machine learning based intratumor heterogeneity signature for predicting prognosis and immunotherapy benefit in stomach adenocarcinoma
Hongcai Chen, Zhiwei Zheng, Cui Yang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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