Norwati Mustapha

2.2k total citations
149 papers, 1.3k citations indexed

About

Norwati Mustapha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Norwati Mustapha has authored 149 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 47 papers in Computer Vision and Pattern Recognition and 46 papers in Information Systems. Recurrent topics in Norwati Mustapha's work include Data Mining Algorithms and Applications (18 papers), Recommender Systems and Techniques (16 papers) and Anomaly Detection Techniques and Applications (16 papers). Norwati Mustapha is often cited by papers focused on Data Mining Algorithms and Applications (18 papers), Recommender Systems and Techniques (16 papers) and Anomaly Detection Techniques and Applications (16 papers). Norwati Mustapha collaborates with scholars based in Malaysia, Iran and Indonesia. Norwati Mustapha's co-authors include Md. Nasir Sulaiman, Thinagaran Perumal, Razali Yaakob, Ali Mamat, Hamidah Ibrahim, Mehrdad Jalali, Reza Ghaemi, Raihani Mohamed, Aida Mustapha and Madjid Khalilian and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Expert Systems with Applications.

In The Last Decade

Norwati Mustapha

136 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norwati Mustapha Malaysia 18 594 343 298 278 178 149 1.3k
Sergio Ramírez‐Gallego Spain 16 933 1.6× 363 1.1× 216 0.7× 224 0.8× 168 0.9× 21 1.7k
Md. Nasir Sulaiman Malaysia 19 513 0.9× 341 1.0× 314 1.1× 382 1.4× 167 0.9× 138 1.5k
Dymitr Ruta United Arab Emirates 16 656 1.1× 244 0.7× 324 1.1× 140 0.5× 148 0.8× 61 1.6k
Sarah Jane Delany Ireland 16 931 1.6× 449 1.3× 176 0.6× 248 0.9× 196 1.1× 59 1.7k
Xumin Liu United States 14 588 1.0× 643 1.9× 240 0.8× 332 1.2× 118 0.7× 106 1.6k
A. Govardhan India 18 553 0.9× 436 1.3× 318 1.1× 206 0.7× 154 0.9× 199 1.4k
Ling Tian China 22 725 1.2× 226 0.7× 582 2.0× 344 1.2× 150 0.8× 122 1.7k
Lin Mei China 24 592 1.0× 249 0.7× 642 2.2× 197 0.7× 144 0.8× 70 1.7k
Alí­pio Jorge Portugal 20 1.0k 1.7× 572 1.7× 274 0.9× 142 0.5× 300 1.7× 110 2.1k
Mehmed Kantardzic United States 19 778 1.3× 258 0.8× 128 0.4× 252 0.9× 206 1.2× 101 1.5k

Countries citing papers authored by Norwati Mustapha

Since Specialization
Citations

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

Fields of papers citing papers by Norwati Mustapha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norwati Mustapha

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

All Works

20 of 20 papers shown
1.
Wang, Peizhi, et al.. (2025). YOLO-AEF: Traffic sign detection on challenging traffic scenes via adaptive enhancement and fusion. Neurocomputing. 655. 131430–131430. 1 indexed citations
2.
3.
Husin, Nor Azura, et al.. (2023). Flock optimization induced deep learning for improved diabetes disease classification. Expert Systems. 42(1). 1 indexed citations
4.
Sharef, Nurfadhlina Mohd, et al.. (2022). Multiobjective Deep Reinforcement Learning for Recommendation Systems. IEEE Access. 10. 65011–65027. 14 indexed citations
5.
Mustapha, Aida, et al.. (2021). A Bayesian approach for major European football league match prediction. International journal of nonlinear analysis and applications. 12. 971–980. 3 indexed citations
6.
Mustapha, Norwati, et al.. (2019). Tensorized Neural Network for Multi-Aspect Rating-Based Recommendation. International Journal of Recent Technology and Engineering (IJRTE). 8(2S11). 547–551.
7.
Mustapha, Norwati, et al.. (2018). Comparison of Expectation Maximization and K-means Clustering Algorithms with Ensemble Classifier Model. WSEAS Transactions on Computers archive. 17. 2 indexed citations
8.
Sulaiman, Md. Nasir, et al.. (2018). Hybrid Relief-f Differential Evolution Feature Selection for Accelerometer Actions. Advanced Science Letters. 24(2). 1168–1171.
9.
Chamasemani, Fereshteh Falah, Lilly Suriani Affendey, Norwati Mustapha, & Fatimah Khalid. (2017). Video abstraction using density-based clustering algorithm. The Visual Computer. 34(10). 1299–1314. 9 indexed citations
10.
Mustapha, Norwati, et al.. (2017). Quantitative Validation Assessment on Shorelines Extracted from Image Classification Techniques of Medium Resolution Satellite Images Based on Change Analysis. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 67–73. 1 indexed citations
11.
Chamasemani, Fereshteh Falah, Lilly Suriani Affendey, Norwati Mustapha, & Fatimah Khalid. (2017). Region-based surveillance video retrieval with effective object representation. The Imaging Science Journal. 66(3). 184–194. 2 indexed citations
12.
Mohamed, Raihani, et al.. (2017). Tracking and Recognizing the Activity of Multi Resident in Smart Home Environments. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 39–43. 11 indexed citations
13.
Mustapha, Norwati, et al.. (2017). Multiclass Classification Method in Handheld Based Smartphone Gait Identification. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 59–65. 2 indexed citations
14.
Halin, Alfian Abdul, et al.. (2017). Analysis of SURF and SIFT Representations to Recognize Food Objects. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 81–88. 2 indexed citations
15.
Mustapha, Norwati, et al.. (2017). Modelling Of Biogas Production From Banana Stem Waste With Neural Networks Learning Strategies To Optimse The Production. 1 indexed citations
16.
17.
Rahmat, Rahmita Wirza O. K., et al.. (2013). Vessel Centerline Extraction Using New Center of Gravity Equations. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 40(1). 7–19. 4 indexed citations
18.
Mahmod, Ramlan, et al.. (2012). Extraction of coronary artery trees in angiocardiography images. Scientific Research and Essays. 7(47). 4014–4036. 6 indexed citations
19.
Mustapha, Norwati, Mohammad H. Nadimi-Shahraki, Ali Mamat, & Md. Nasir Sulaiman. (2009). A NUMERICAL METHOD FOR FREQUENT PATTERNS MINING. Journal of the American Chemical Society. 125(33). 9912–3. 3 indexed citations
20.
Jalali, Mehrdad, Norwati Mustapha, Ali Mamat, & Md. Nasir Sulaiman. (2008). A new clustering approach based on graph partitioning for navigation patterns mining. Proceedings - International Conference on Pattern Recognition. 1–4. 14 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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