Sorayya Malek

914 total citations
42 papers, 565 citations indexed

About

Sorayya Malek is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Health Information Management. According to data from OpenAlex, Sorayya Malek has authored 42 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Cardiology and Cardiovascular Medicine and 11 papers in Health Information Management. Recurrent topics in Sorayya Malek's work include Artificial Intelligence in Healthcare (10 papers), Machine Learning in Healthcare (10 papers) and Water Quality Monitoring Technologies (9 papers). Sorayya Malek is often cited by papers focused on Artificial Intelligence in Healthcare (10 papers), Machine Learning in Healthcare (10 papers) and Water Quality Monitoring Technologies (9 papers). Sorayya Malek collaborates with scholars based in Malaysia, Australia and Yemen. Sorayya Malek's co-authors include Pozi Milow, Chijioke Emenike, Mogeeb A. A. Mosleh, Aishah Salleh, Khairul Shafiq Ibrahim, Sarinder Kaur Dhillon, M. Sugumaran, Wan Azman Wan Ahmad, Mohd Sapiyan Baba and Sazzli Kasim and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Heart Journal.

In The Last Decade

Sorayya Malek

35 papers receiving 544 citations

Peers

Countries citing papers authored by Sorayya Malek

Since Specialization

Citations

This map shows the geographic impact of Sorayya Malek's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sorayya Malek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sorayya Malek more than expected).

Fields of papers citing papers by Sorayya Malek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sorayya Malek. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sorayya Malek. The network helps show where Sorayya Malek may publish in the future.

Co-authorship network of co-authors of Sorayya Malek

This figure shows the co-authorship network connecting the top 25 collaborators of Sorayya Malek. A scholar is included among the top collaborators of Sorayya Malek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sorayya Malek. Sorayya Malek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Enhancing cardiovascular risk prediction in Asian populations: A machine learning approach integrated with digital health platforms 2025 ·International Journal of Cardiology Cardiovascular Risk and Prevention ·Sazzli Kasim, (unknown), (unknown), (unknown), Nafiza Mat Nasir, Lihang Feng, (unknown), Khairul Shafiq Ibrahim, (unknown), Suraya Abdul-Razak, Kazuaki Negishi, Sorayya Malek	0
2	Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population 2025 ·PLoS ONE ·(unknown), (unknown), Sorayya Malek, (unknown), (unknown), Nafiza Mat Nasir, Khairul Shafiq Ibrahim, (unknown)	0
3	Multiclass leukemia cell classification using hybrid deep learning and machine learning with CNN-based feature extraction 2025 ·Scientific Reports ·(unknown), Sorayya Malek, Junjie Tang, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	0
4	Ensemble machine learning for predicting in-hospital mortality in Asian women with ST-elevation myocardial infarction (STEMI) 2024 ·Scientific Reports ·(unknown), (unknown), Sorayya Malek, Khairul Shafiq Ibrahim, Wan Azman Wan Ahmad, Alan Yean Yip Fong, (unknown), (unknown), (unknown)	6
5	Enhancing reginal wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view echocardiography 2024 ·PLoS ONE ·(unknown), Junjie Tang, Sorayya Malek, Khairul Shafiq Ibrahim, (unknown), (unknown)	0
6	Data analytics approach for short- and long-term mortality prediction following acute non-ST-elevation myocardial infarction (NSTEMI) and Unstable Angina (UA) in Asians 2024 ·PLoS ONE ·(unknown), (unknown), Sorayya Malek, (unknown), Wan Azman Wan Ahmad, Khairul Shafiq Ibrahim, (unknown), (unknown), Alan Yean Yip Fong, (unknown)	4
7	Predicting the risk of in-hospital Asian NSTEMI patients using stacked ensemble learning 2023 ·European Heart Journal ·(unknown), Sorayya Malek, (unknown), (unknown), Khairul Shafiq Ibrahim	0
8	Validation of the general Framingham Risk Score (FRS), SCORE2, revised PCE and WHO CVD risk scores in an Asian population 2023 ·The Lancet Regional Health - Western Pacific ·(unknown), (unknown), Sorayya Malek, Khairul Shafiq Ibrahim, (unknown), (unknown), Yook Chin Chia, Anis Safura Ramli, Kazuaki Negishi, Nafiza Mat Nasir	24
9	In-hospital risk stratification algorithm of Asian elderly patients 2022 ·Scientific Reports ·Sazzli Kasim, Sorayya Malek, (unknown), (unknown), Wan Azman Wan Ahmad, Khairul Shafiq Ibrahim, (unknown), Kazuaki Negishi, (unknown)	5
10	In-hospital mortality risk stratification of Asian ACS patients with artificial intelligence algorithm 2022 ·PLoS ONE ·Sazzli Kasim, Sorayya Malek, (unknown), Wan Azman Wan Ahmad, Alan Yean Yip Fong, Khairul Shafiq Ibrahim, (unknown), (unknown), (unknown), (unknown)	14
11	Developing an ecological visualization system for biodiversity data 2022 ·All Life ·(unknown), Sorayya Malek, Pozi Milow, (unknown)	2
12	Diversity and composition of trees and shrubs species in homegardens in Kampung Masjid Ijok Perak, Malaysia 2022 ·Agroforestry Systems ·(unknown), Pozi Milow, Sorayya Malek	1
13	Traditional knowledge of medicinal plants in the Kampung Orang Asli Donglai Baru, Hulu Langat, Malaysia 2021 ·Biodiversitas Journal of Biological Diversity ·(unknown), Sorayya Malek, Pozi Milow, (unknown)	5
14	Short- and long-term mortality prediction after an acute ST-elevation myocardial infarction (STEMI) in Asians: A machine learning approach 2021 ·PLoS ONE ·(unknown), Sorayya Malek, Khairul Shafiq Ibrahim, (unknown), Wan Azman Wan Ahmad, Rosli Mohd Ali, (unknown), (unknown), Sazzli Kasim	48
15	Ceph-X: development and evaluation of 2D cephalometric system 2016 ·BMC Bioinformatics ·Mogeeb A. A. Mosleh, Mohd Sapiyan Baba, Sorayya Malek, (unknown)	15
16	Dissolved Oxygen Prediction Using Support Vector Machine 2014 ·Zenodo (CERN European Organization for Nuclear Research) ·Sorayya Malek, Mogeeb A. A. Mosleh, (unknown)	10
17	Intelligent Computational Modeling and Prediction of Coliform Growth in Tropical Lakes based on Hybrid Self Organizing Maps (SOM) and Fuzzy Logic Approaches 2011 ·Sharifah Mumtazah Syed Ahmad, (unknown), Sorayya Malek	1
18	Assessment of predictive models for chlorophyll-a concentration of a tropical lake 2011 ·BMC Bioinformatics ·Sorayya Malek, Sharifah Mumtazah Syed Ahmad, (unknown), Pozi Milow, Aishah Salleh	20
19	Analysis of selected algal growth (Pyrrophyta) in tropical lake using Kohonen self organizing feature map (SOM) and its prediction using rule based system 2010 ·Sorayya Malek, (unknown), Mohd Sapiyan Baba	1
20	[Dual chamber pacing in hypertrophic obstructive cardiomyopathy]. 1998 ·PubMed ·Habib Haouala, (unknown), (unknown), (unknown), (unknown), (unknown), Sorayya Malek, (unknown), M.N. Guédiche	0

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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