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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:

KSRMF: Kernelized similarity based regularized matrix factorization framework for predicting anti-cancer drug responses
Aman Sharma, Rinkle Rani
Journal of Intelligent & Fuzzy Systems (2018) Vol. 35, Iss. 2, pp. 1779-1790
Closed Access | Times Cited: 18

Showing 18 citing articles:

Ensemble transfer learning for the prediction of anti-cancer drug response
Yitan Zhu, Thomas Brettin, Yvonne A. Evrard, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 75
C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods
Aman Sharma, Rinkle Rani
Computer Methods and Programs in Biomedicine (2019) Vol. 178, pp. 219-235
Closed Access | Times Cited: 73
BE-DTI’: Ensemble framework for drug target interaction prediction using dimensionality reduction and active learning
Aman Sharma, Rinkle Rani
Computer Methods and Programs in Biomedicine (2018) Vol. 165, pp. 151-162
Closed Access | Times Cited: 49
Drug sensitivity prediction framework using ensemble and multi-task learning
Aman Sharma, Rinkle Rani
International Journal of Machine Learning and Cybernetics (2019) Vol. 11, Iss. 6, pp. 1231-1240
Closed Access | Times Cited: 22
DRPO: A deep learning technique for drug response prediction in oncology cell lines
Muhammad Shahzad, Adila Zain Ul Abedin Kadani, Muhammad Atif Tahir, et al.
Alexandria Engineering Journal (2024) Vol. 105, pp. 88-97
Open Access | Times Cited: 2
ADRML: anticancer drug response prediction using manifold learning
Fatemeh Ahmadi Moughari, Changiz Eslahchi
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 20
CTDN (Convolutional Temporal Based Deep‐ Neural Network): An Improvised Stacked Hybrid Computational Approach for Anticancer Drug Response Prediction
Davinder Paul Singh, Baijnath Kaushik
Computational Biology and Chemistry (2023) Vol. 105, pp. 107868-107868
Closed Access | Times Cited: 5
DWUT-MLP: Classification of anticancer drug response using various feature selection and classification techniques
Davinder Paul Singh, Abhishek Gupta, Baijnath Kaushik
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 225, pp. 104562-104562
Closed Access | Times Cited: 9
AI Fuzzy Based Prediction and Prorogation of Alzheimer's Cancer
Srinivas Kolli, Muniyandy Elangovan, M. Vamsikrishna, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 1
C-HDESHO: Cancer Classification Framework using Single Objective Meta—heuristic and Machine learning Approaches
Aman Sharma, Rinkle Rani
(2018), pp. 406-411
Closed Access | Times Cited: 8
Predicting anti-cancer drug response by finding optimal subset of drugs
Fatemeh Yassaee Meybodi, Changiz Eslahchi
Bioinformatics (2021) Vol. 37, Iss. 23, pp. 4509-4516
Open Access | Times Cited: 7
Anti-cancer Drug Response Prediction System Using Stacked Ensemble Approach
P. Selvi Rajendran, K. R. Kartheeswari
Lecture notes in networks and systems (2022), pp. 205-218
Closed Access | Times Cited: 4
RETRACTED: EBSRMF: Ensemble based similarity-regularized matrix factorization to predict anticancer drug responses
Muhammad Shahzad, Muhammad Atif Tahir, MuhammadAurangzeb Khan, et al.
Journal of Intelligent & Fuzzy Systems (2022) Vol. 43, Iss. 3, pp. 3443-3452
Open Access | Times Cited: 3
Integrative Analysis of Cancer Gene Expression Using Bio-Inspired Algorithms and Machine Learning: Identification of Key Genes
Ashimjyoti Nath, Chandan Jyoti Kumar
Lecture notes in networks and systems (2024), pp. 255-273
Closed Access
Interactive precision medicine revolution: unleashing a deep learning framework for drug response and recommendation
Mallikarjuna Rao Gundavarapu, Raghavender Kotla Venkata, S. Bhargavi Latha, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access
Medication recommendation in cancer treatment based on cell line similarity
Diogo Pimenta, Mónica Teles, Fernando Paulo Belfo, et al.
Procedia Computer Science (2023) Vol. 219, pp. 1493-1500
Open Access | Times Cited: 1
A Hybrid Metaheuristics based technique for Mutation Based Disease Classification
Manu Phogat, Dharmender Kumar
International journal of electrical and computer engineering systems (2023) Vol. 14, Iss. 6, pp. 635-646
Open Access
Analysis and Visualization of Twitter Data using R
Aman Sharma, Rishi Rana
(2020), pp. 455-459
Closed Access
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