Nurbaity Sabri

623 total citations
42 papers, 421 citations indexed

About

Nurbaity Sabri is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Analytical Chemistry. According to data from OpenAlex, Nurbaity Sabri has authored 42 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Plant Science and 8 papers in Analytical Chemistry. Recurrent topics in Nurbaity Sabri's work include Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (8 papers) and Face recognition and analysis (3 papers). Nurbaity Sabri is often cited by papers focused on Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (8 papers) and Face recognition and analysis (3 papers). Nurbaity Sabri collaborates with scholars based in Malaysia, United States and Russia. Nurbaity Sabri's co-authors include Zaidah Ibrahim, Dino Isa, Shafaf Ibrahim, Khyrina Airin Fariza Abu Samah, Haza Nuzly Abdull Hamed, Mohd Adham Isa, Norizan Mat Diah, Nursuriati Jamil and Sharifah Kamilah Syed Yusof and has published in prestigious journals such as Journal of King Saud University - Computer and Information Sciences, Computers, materials & continua/Computers, materials & continua (Print) and Bulletin of Electrical Engineering and Informatics.

In The Last Decade

Nurbaity Sabri

40 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nurbaity Sabri Malaysia 13 175 76 65 59 52 42 421
Anup Majumder Bangladesh 11 150 0.9× 70 0.9× 58 0.9× 20 0.3× 65 1.3× 24 369
Anindita Septiarini Indonesia 13 257 1.5× 153 2.0× 120 1.8× 95 1.6× 78 1.5× 92 670
Gregorius Natanael Elwirehardja Indonesia 7 58 0.3× 32 0.4× 36 0.6× 29 0.5× 52 1.0× 32 268
Ranjan Parekh India 12 381 2.2× 193 2.5× 157 2.4× 72 1.2× 38 0.7× 35 546
Md. Mehedi Hasan Bangladesh 10 195 1.1× 78 1.0× 49 0.8× 89 1.5× 22 0.4× 53 417
Hashim Ali Pakistan 8 152 0.9× 82 1.1× 106 1.6× 22 0.4× 82 1.6× 16 362
Yu Hwan Kim South Korea 11 68 0.4× 18 0.2× 120 1.8× 30 0.5× 33 0.6× 22 450
Guofeng Yang China 11 247 1.4× 114 1.5× 24 0.4× 59 1.0× 18 0.3× 22 354
Tingting Dong China 11 49 0.3× 19 0.3× 47 0.7× 21 0.4× 30 0.6× 49 314
S. M. Jaisakthi India 8 153 0.9× 65 0.9× 54 0.8× 25 0.4× 110 2.1× 26 396

Countries citing papers authored by Nurbaity Sabri

Since Specialization
Citations

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

Fields of papers citing papers by Nurbaity Sabri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nurbaity Sabri

This figure shows the co-authorship network connecting the top 25 collaborators of Nurbaity Sabri. A scholar is included among the top collaborators of Nurbaity Sabri 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 Nurbaity Sabri. Nurbaity Sabri 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.
Sabri, Nurbaity, et al.. (2024). Visual Facial Paralysis Detection using InceptionResNetV2. 211–215.
2.
Sabri, Nurbaity, et al.. (2024). A real-time system for detecting personal protective equipment compliance using deep learning model YOLOv5. Procedia Computer Science. 245. 647–656. 1 indexed citations
3.
Sabri, Nurbaity, et al.. (2024). Adaptation of YOLOv8n for Underwater Object Detection System. 71–76.
4.
Sabri, Nurbaity, et al.. (2024). Intruder Detection from Video Surveillance Using Deep Learning. 87–91. 1 indexed citations
5.
Sabri, Nurbaity, et al.. (2023). Nutrient Deficiency Classification using AlexNet Architecture. 153–157. 2 indexed citations
6.
Ibrahim, Shafaf, et al.. (2022). Palm leaf nutrient deficiency detection using convolutional neural network (CNN). International journal of nonlinear analysis and applications. 13(1). 1949–1956. 7 indexed citations
7.
Sabri, Nurbaity, et al.. (2022). The hybrid feature extraction method for classification of adolescence idiopathic scoliosis using Evolving Spiking Neural Network. Journal of King Saud University - Computer and Information Sciences. 34(10). 8899–8908. 3 indexed citations
8.
Sabri, Nurbaity, et al.. (2020). Nutrient deficiency detection in Maize (Zea mays L.) leaves using image processing. IAES International Journal of Artificial Intelligence. 9(2). 304–304. 25 indexed citations
9.
Sabri, Nurbaity. (2020). A Comparison between Average and Max-Pooling in Convolutional Neural Network for Scoliosis Classification. International Journal of Advanced Trends in Computer Science and Engineering. 9(1.4). 689–696. 5 indexed citations
10.
Ibrahim, Shafaf, et al.. (2020). A real-time drowsiness and fatigue recognition using support vector machine. IAES International Journal of Artificial Intelligence. 9(4). 584–584. 4 indexed citations
11.
Ibrahim, Shafaf, et al.. (2020). Pre-trained classification of scalp conditions using image processing. Indonesian Journal of Electrical Engineering and Computer Science. 20(1). 138–138. 12 indexed citations
12.
Sabri, Nurbaity. (2020). Student Emotion Estimation Based on Facial Application in E-Learning during COVID-19 Pandemic. International Journal of Advanced Trends in Computer Science and Engineering. 9(1.4). 576–582. 7 indexed citations
13.
Sabri, Nurbaity, et al.. (2019). 2D Photogrammetry Image of Scoliosis Lenke Type Classification Using Deep Learning. 437–440. 7 indexed citations
14.
Ibrahim, Zaidah, et al.. (2019). Evaluation of Basic Convolutional Neural Network, AlexNet and Bag of Features for Indoor Object Recognition. International Journal of Machine Learning and Computing. 9(6). 801–806. 5 indexed citations
15.
Ibrahim, Zaidah, Nurbaity Sabri, & Dino Isa. (2018). Palm Oil Fresh Fruit Bunch Ripeness Grading Recognition Using Convolutional Neural Network. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 10. 109–113. 50 indexed citations
16.
Ibrahim, Zaidah, et al.. (2018). Evaluation of CNN, Alexnet and GoogleNet for Fruit Recognition. Indonesian Journal of Electrical Engineering and Computer Science. 12(2). 468–468. 31 indexed citations
17.
Ibrahim, Zaidah, et al.. (2018). Leaf Recognition using Texture Features for Herbal Plant Identification. Indonesian Journal of Electrical Engineering and Computer Science. 9(1). 152–152. 35 indexed citations
18.
Sabri, Nurbaity, et al.. (2018). A Comparison of Face Detection Classifier using Facial Geometry Distance Measure. 116–120. 12 indexed citations
19.
Sabri, Nurbaity, et al.. (2017). Educational game as interactive learning for hurricane safety. 41. 206–210. 1 indexed citations
20.
Sabri, Nurbaity, et al.. (2016). Human detection in video surveillance using texture features. 48. 45–50. 3 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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2026