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Cited by in F6Publishing
For: Wei Y, Li W, Du T, Hong Z, Lin J. Targeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method. Int J Mol Sci. 2019;20. [PMID: 31336592 DOI: 10.3390/ijms20143572] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 2.7] [Reference Citation Analysis]
Number Citing Articles
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4 Munyemana JB, Mukanoheli E, Nsabimana T, Niringiyumukiza JD. HCV Seroprevalence among HIV Patients and Associated Comorbidities at One Primary Health Facility in Rwanda. Am J Trop Med Hyg 2021:tpmd200500. [PMID: 33720846 DOI: 10.4269/ajtmh.20-0500] [Reference Citation Analysis]
5 Li Q, Li JF, Mao XR. Application of artificial intelligence in liver diseases: From diagnosis to treatment. Artif Intell Gastroenterol 2021; 2(5): 133-140 [DOI: 10.35712/aig.v2.i5.133] [Reference Citation Analysis]
6 Serafim MSM, Dos Santos Júnior VS, Gertrudes JC, Maltarollo VG, Honorio KM. Machine learning techniques applied to the drug design and discovery of new antivirals: a brief look over the past decade. Expert Opin Drug Discov 2021;16:961-75. [PMID: 33957833 DOI: 10.1080/17460441.2021.1918098] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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