Open Access Helper

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:

Preclinical-to-Clinical Anti-Cancer Drug Response Prediction and Biomarker Identification Using TINDL
David Earl Hostallero, Lixuan Wei, Liewei Wang, et al.
Genomics Proteomics & Bioinformatics (2023) Vol. 21, Iss. 3, pp. 535-550
Open Access | Times Cited: 9

Showing 9 citing articles:

TheMarker: a comprehensive database of therapeutic biomarkers
Yintao Zhang, Ying Zhou, Yuan Zhou, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D1450-D1464
Open Access | Times Cited: 38
MARSY: a multitask deep-learning framework for prediction of drug combination synergy scores
Mohamed Reda El Khili, Safyan Aman Memon, Amin Emad
Bioinformatics (2023) Vol. 39, Iss. 4
Open Access | Times Cited: 16
Interpretable deep learning architectures for improving drug response prediction performance: myth or reality?
Yihui Li, David Earl Hostallero, Amin Emad
Bioinformatics (2023) Vol. 39, Iss. 6
Open Access | Times Cited: 11
Towards Explainable AI: Interpreting Soil Organic Carbon Prediction Models Using a Learning‐Based Explanation Method
Nafiseh Kakhani, Ruhollah Taghizadeh‐Mehrjardi, Davoud Omarzadeh, et al.
European Journal of Soil Science (2025) Vol. 76, Iss. 2
Open Access
DTLCDR: A target-based multimodal fusion deep learning framework for cancer drug response prediction
Jie Yu, Cheng Shi, Yiran Zhou, et al.
Journal of Pharmaceutical Analysis (2025), pp. 101315-101315
Open Access
Emerging artificial intelligence-driven precision therapies in tumor drug resistance: recent advances, opportunities, and challenges
Yajun Mao, Dangang Shangguan, Qi Huang, et al.
Molecular Cancer (2025) Vol. 24, Iss. 1
Open Access
Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint
Yan Wang, Xiaoye Jin, Rui Qiu, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Golden eagle optimized CONV-LSTM and non-negativity-constrained autoencoder to support spatial and temporal features in cancer drug response prediction
Wesam Ibrahim Hajim, Suhaila Zainudin, Kauthar Mohd Daud, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2520-e2520
Open Access
Evaluation of Spatially Variable Genes as Biomarkers in Tumor Initiation and Progression
Aylin Seher Uzunoğlu, Merve Saide Uzunoğlu, Sümeyye Çapuk, et al.
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 53-82
Closed Access
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