Nursuriati Jamil

1.3k total citations
98 papers, 852 citations indexed

About

Nursuriati Jamil is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Nursuriati Jamil has authored 98 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 18 papers in Signal Processing. Recurrent topics in Nursuriati Jamil's work include Smart Agriculture and AI (12 papers), Spectroscopy and Chemometric Analyses (11 papers) and Biometric Identification and Security (10 papers). Nursuriati Jamil is often cited by papers focused on Smart Agriculture and AI (12 papers), Spectroscopy and Chemometric Analyses (11 papers) and Biometric Identification and Security (10 papers). Nursuriati Jamil collaborates with scholars based in Malaysia, United States and Brazil. Nursuriati Jamil's co-authors include Ali Abd Almisreb, Tengku Mohd Tengku Sembok, Norashidah Md Din, Zainab Abu Bakar, Haidzir Manaf, Maria Justine, Azlinah Mohamed, Siti Khairunniza Bejo, Rozi Mahmud and Ahmed Jaffar and has published in prestigious journals such as SHILAP Revista de lepidopterología, BioMed Research International and Applied Sciences.

In The Last Decade

Nursuriati Jamil

92 papers receiving 802 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nursuriati Jamil Malaysia 16 229 180 125 119 80 98 852
Sakshi Arora India 15 251 1.1× 142 0.8× 31 0.2× 146 1.2× 57 0.7× 44 898
Thi‐Lan Le Vietnam 16 580 2.5× 157 0.9× 56 0.4× 156 1.3× 32 0.4× 134 1.0k
Hai Vu Vietnam 16 334 1.5× 158 0.9× 127 1.0× 135 1.1× 23 0.3× 101 811
Md Belal Bin Heyat China 26 182 0.8× 174 1.0× 68 0.5× 332 2.8× 23 0.3× 85 1.7k
Nitin Khanna India 23 873 3.8× 86 0.5× 57 0.5× 71 0.6× 110 1.4× 76 1.6k
Fitri Arnia Indonesia 12 295 1.3× 59 0.3× 20 0.2× 182 1.5× 63 0.8× 112 739
M. Ashraful Amin Bangladesh 19 545 2.4× 132 0.7× 63 0.5× 223 1.9× 70 0.9× 108 1.1k
Kashif Javed Pakistan 21 455 2.0× 877 4.9× 458 3.7× 414 3.5× 33 0.4× 38 1.9k
Önsen Toygar Cyprus 19 504 2.2× 156 0.9× 63 0.5× 73 0.6× 407 5.1× 51 845
Kemal Akyol Türkiye 9 130 0.6× 494 2.7× 198 1.6× 151 1.3× 68 0.8× 47 1.0k

Countries citing papers authored by Nursuriati Jamil

Since Specialization
Citations

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

Fields of papers citing papers by Nursuriati Jamil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nursuriati Jamil

This figure shows the co-authorship network connecting the top 25 collaborators of Nursuriati Jamil. A scholar is included among the top collaborators of Nursuriati Jamil 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 Nursuriati Jamil. Nursuriati Jamil 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.
Jamil, Nursuriati, et al.. (2025). Optimizing deep learning models from multi-objective perspective via Bayesian optimization. IAES International Journal of Artificial Intelligence. 14(2). 1420–1420.
2.
Jamil, Nursuriati, et al.. (2023). Design of a Smart Portable Farming Kit for Indoor Cultivation Using the Raspberry Pi Platform. Pertanika journal of science & technology. 31(4). 2 indexed citations
3.
Jamil, Nursuriati, et al.. (2023). When Contactless Service Matters: The Use of Robotic Services in the Healthcare Sector. IEEE Engineering Management Review. 51(2). 26–34. 2 indexed citations
4.
Li, Guoqin, et al.. (2023). An Improved Co-Training and Generative Adversarial Network (Diff-CoGAN) for Semi-Supervised Medical Image Segmentation. Information. 14(3). 190–190. 1 indexed citations
5.
Diah, Norizan Mat, et al.. (2023). Vehicle detection and classification using three variations of you only look once algorithm. International Journal of Reconfigurable and Embedded Systems (IJRES). 12(3). 442–442. 4 indexed citations
6.
Jamil, Nursuriati, et al.. (2022). DOES GOOGLE TRANSLATE AFFECT LEXICON-BASED SENTIMENT ANALYSIS OF MALAY SOCIAL MEDIA TEXT?. SHILAP Revista de lepidopterología. 7(2). 1236–1249. 1 indexed citations
7.
8.
Almisreb, Ali Abd, et al.. (2020). Deep transfer learning for ear recognition: A comparative study. International Journal of Advanced Trends in Computer Science and Engineering. 9. 490–495. 4 indexed citations
9.
Jamil, Nursuriati, et al.. (2018). Palm oil fresh fruit bunch ripeness grading identification using color features. Journal of Fundamental and Applied Sciences. 9(4S). 563–563. 20 indexed citations
10.
Husin, Hazlina, et al.. (2018). Evaluation on the Presence of Nano Silver Particle in Improving a Conventional Water-based Drilling Fluid. IOP Conference Series Materials Science and Engineering. 358. 12060–12060. 1 indexed citations
11.
Jamil, Nursuriati, et al.. (2018). Evaluation of Support Vector Machine and Decision Tree for Emotion Recognition of Malay Folklores. Bulletin of Electrical Engineering and Informatics. 7(3). 479–486. 19 indexed citations
12.
Jamil, Nursuriati, et al.. (2017). Fruit Classification using Neural Network Model. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 43–46. 11 indexed citations
13.
Jamil, Nursuriati, et al.. (2017). Thermal and Visible Image Fusion for Ear Recognition. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 49–53. 1 indexed citations
14.
Bejo, Siti Khairunniza, et al.. (2016). Paddy grading using thermal imaging technology. International Food Research Journal. 23. 5 indexed citations
15.
Jamil, Nursuriati, et al.. (2015). Enhancing the performance of multi-modality ontology semantic image retrieval using object properties filter. Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia). 1 indexed citations
16.
Jamil, Nursuriati, et al.. (2015). Sentence boundary detection without speech recognition: A case of an underresourced language. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Jamil, Nursuriati, et al.. (2013). A model for keyword Profile Creation using extracted keywords and terminological ontology. 136–141. 3 indexed citations
18.
Jamil, Nursuriati, et al.. (2012). Texture feature extraction using 2-D Gabor Filters. 173–178. 32 indexed citations
19.
Jamil, Nursuriati, Tengku Mohd Tengku Sembok, & Zainab Abu Bakar. (2008). Noise removal and enhancement of binary images using morphological operations. 1–6. 67 indexed citations
20.
Jamil, Nursuriati, et al.. (2004). A comparison of noise removal techniques in songket motif images. 139–143. 7 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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