Sapiah Sakri

595 total citations
16 papers, 374 citations indexed

About

Sapiah Sakri is a scholar working on Artificial Intelligence, Health Information Management and Computer Networks and Communications. According to data from OpenAlex, Sapiah Sakri has authored 16 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Health Information Management and 2 papers in Computer Networks and Communications. Recurrent topics in Sapiah Sakri's work include Artificial Intelligence in Healthcare (5 papers), AI in cancer detection (3 papers) and Imbalanced Data Classification Techniques (3 papers). Sapiah Sakri is often cited by papers focused on Artificial Intelligence in Healthcare (5 papers), AI in cancer detection (3 papers) and Imbalanced Data Classification Techniques (3 papers). Sapiah Sakri collaborates with scholars based in Saudi Arabia, Malaysia and India. Sapiah Sakri's co-authors include Zuhaira Muhammad Zain, Shakila Basheer, Surbhi Bhatia, Senthilkumar Mohan, Abdul Quadir, Ghadah Aldehim, Ala Saleh Alluhaidan, Mamoon Rashid, Hadil Shaiba and Azlinah Mohamed and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information and Software Technology.

In The Last Decade

Sapiah Sakri

15 papers receiving 342 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sapiah Sakri Saudi Arabia	7	205	75	59	58	54	16	374
Mohemmed Sha Saudi Arabia	9	137 0.7×	67 0.9×	58 1.0×	56 1.0×	28 0.5×	45	319
Yasin Orouskhani Iran	8	143 0.7×	17 0.2×	45 0.8×	63 1.1×	22 0.4×	10	329
Jyothisha J. Nair India	11	131 0.6×	34 0.5×	72 1.2×	23 0.4×	32 0.6×	49	304
Hamid Reza Hassanzadeh United States	6	256 1.2×	76 1.0×	57 1.0×	162 2.8×	7 0.1×	9	657
C. Kavitha India	10	164 0.8×	90 1.2×	91 1.5×	118 2.0×	48 0.9×	44	478
Sang‐Woong Lee South Korea	10	232 1.1×	28 0.4×	212 3.6×	91 1.6×	14 0.3×	19	519
Ito Wasito Indonesia	9	123 0.6×	24 0.3×	54 0.9×	30 0.5×	35 0.6×	47	328
Saadullah Farooq Abbasi United Kingdom	13	92 0.4×	21 0.3×	105 1.8×	15 0.3×	21 0.4×	34	450
Nasmin Jiwani United States	14	100 0.5×	90 1.2×	42 0.7×	30 0.5×	74 1.4×	37	446
Ketan Gupta United States	12	99 0.5×	88 1.2×	37 0.6×	29 0.5×	71 1.3×	44	417

Countries citing papers authored by Sapiah Sakri

Since Specialization

Citations

This map shows the geographic impact of Sapiah Sakri'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 Sapiah Sakri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sapiah Sakri more than expected).

Fields of papers citing papers by Sapiah Sakri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sapiah Sakri. 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 Sapiah Sakri. The network helps show where Sapiah Sakri may publish in the future.

Co-authorship network of co-authors of Sapiah Sakri

This figure shows the co-authorship network connecting the top 25 collaborators of Sapiah Sakri. A scholar is included among the top collaborators of Sapiah Sakri 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 Sapiah Sakri. Sapiah Sakri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Basheer, Shakila, Ghadah Aldehim, Ala Saleh Alluhaidan, & Sapiah Sakri. (2024). Improving mental dysfunction detection from EEG signals: Self-contrastive learning and multitask learning with transformers. Alexandria Engineering Journal. 106. 52–59. 7 indexed citations

Alluhaidan, Ala Saleh, Mamoon Rashid, Ghadah Aldehim, Shakila Basheer, & Sapiah Sakri. (2024). Efficient Deep Learning Model for Detecting Dyslexia in Children from an Online Gamified Test Dataset. SHILAP Revista de lepidopterología. 3(8). 1 indexed citations

Sakri, Sapiah, et al.. (2024). An Improved Concatenation of Deep Learning Models for Predicting and Interpreting Ischemic Stroke. IEEE Access. 12. 53189–53204. 2 indexed citations

Aldehim, Ghadah, Mamoon Rashid, Ala Saleh Alluhaidan, Sapiah Sakri, & Shakila Basheer. (2024). Deep Learning for Dyslexia Detection: A Comprehensive CNN Approach with Handwriting Analysis and Benchmark Comparisons. SHILAP Revista de lepidopterología. 3(2). 7 indexed citations

Sakri, Sapiah, et al.. (2024). Sepsis Prediction Using CNNBDLSTM and Temporal Derivatives Feature Extraction in the IoT Medical Environment. Computers, materials & continua/Computers, materials & continua (Print). 79(1). 1157–1185. 1 indexed citations

Sakri, Sapiah, et al.. (2024). Assessment of the Hybrid Deep Learning Models and Hedonic Pricing Model for House Price Prediction. 127–133. 1 indexed citations

Quadir, Abdul, et al.. (2023). Deep Reinforcement Learning for Vision-Based Navigation of UAVs in Avoiding Stationary and Mobile Obstacles. Drones. 7(4). 245–245. 38 indexed citations

Zain, Zuhaira Muhammad, et al.. (2023). Application of Deep Learning in Software Defect Prediction: Systematic Literature Review and Meta-analysis. Information and Software Technology. 158. 107175–107175. 32 indexed citations

Mohamed, Azlinah, Zuhaira Muhammad Zain, Hadil Shaiba, et al.. (2023). LexDeep: Hybrid Lexicon and Deep Learning Sentiment Analysis Using Twitter for Unemployment-Related Discussions During COVID-19. Computers, materials & continua/Computers, materials & continua (Print). 75(1). 1577–1601. 6 indexed citations

10.

Sakri, Sapiah & Shakila Basheer. (2023). Fusion Model for Classification Performance Optimization in a Highly Imbalance Breast Cancer Dataset. Electronics. 12(5). 1168–1168. 8 indexed citations

11.

Sakri, Sapiah, et al.. (2022). Smart Prediction System for Classifying Mirai and Gafgyt Attacks on IoT Devices. 1216–1222. 2 indexed citations

12.

Sakri, Sapiah. (2022). Assessment of Deep Neural Network and Gradient Boosting Machines for Credit Risk Prediction Accuracy. 521. 1–7. 4 indexed citations

13.

Sakri, Sapiah, et al.. (2022). Analysis of the Dimensionality Issues in House Price Forecasting Modeling. 13–19. 5 indexed citations

14.

Basheer, Shakila, Surbhi Bhatia, & Sapiah Sakri. (2021). Computational Modeling of Dementia Prediction Using Deep Neural Network: Analysis on OASIS Dataset. IEEE Access. 9. 42449–42462. 76 indexed citations

15.

Sakri, Sapiah, et al.. (2020). RHEM: A Robust Hybrid Ensemble Model for Students’ Performance Assessment on Cloud Computing Course. International Journal of Advanced Computer Science and Applications. 11(11). 4 indexed citations

16.

Sakri, Sapiah, et al.. (2018). Particle Swarm Optimization Feature Selection for Breast Cancer Recurrence Prediction. IEEE Access. 6. 29637–29647. 180 indexed citations

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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