Zaidah Ibrahim

901 total citations
65 papers, 596 citations indexed

About

Zaidah Ibrahim is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Artificial Intelligence. According to data from OpenAlex, Zaidah Ibrahim has authored 65 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 15 papers in Plant Science and 8 papers in Artificial Intelligence. Recurrent topics in Zaidah Ibrahim's work include Smart Agriculture and AI (15 papers), Spectroscopy and Chemometric Analyses (8 papers) and Handwritten Text Recognition Techniques (7 papers). Zaidah Ibrahim is often cited by papers focused on Smart Agriculture and AI (15 papers), Spectroscopy and Chemometric Analyses (8 papers) and Handwritten Text Recognition Techniques (7 papers). Zaidah Ibrahim collaborates with scholars based in Malaysia, Indonesia and United States. Zaidah Ibrahim's co-authors include Nurbaity Sabri, Dino Isa, Norizan Mat Diah, Agus Eko Minarno, Shafaf Ibrahim, Fitri Bimantoro, Yufis Azhar, Azlinah Mohamed, Haza Nuzly Abdull Hamed and Hanung Adi Nugroho and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of King Saud University - Computer and Information Sciences and Computers, materials & continua/Computers, materials & continua (Print).

In The Last Decade

Zaidah Ibrahim

62 papers receiving 546 citations

Peers

Zaidah Ibrahim

CVPR

IME

Anindita Septiarini Indonesia

Ruber Hernández-García Chile

Yaganteeswarudu Akkem India

Vijaya R. Thool India

Chao Xue China

S. Domnic India

Qiufeng Wu China

Woo Chaw Seng Malaysia

Peng Zhao China

Mayank Arya Chandra India

Anindita Septiarini Indonesia

Zaidah Ibrahim

257 ×1.4

120 ×0.7

CVPR

78 ×0.8

30 ×0.4

IME

153 ×2.0

Citations per year, relative to Zaidah Ibrahim Zaidah Ibrahim (= 1×) peers Anindita Septiarini

Countries citing papers authored by Zaidah Ibrahim

Since Specialization

Citations

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

Fields of papers citing papers by Zaidah Ibrahim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaidah Ibrahim

This figure shows the co-authorship network connecting the top 25 collaborators of Zaidah Ibrahim. A scholar is included among the top collaborators of Zaidah Ibrahim 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 Zaidah Ibrahim. Zaidah Ibrahim 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

Diah, Norizan Mat, et al.. (2023). Automatic plant recognition using convolutional neural network on malaysian medicinal herbs: the value of data augmentation. International Journal of Advances in Intelligent Informatics. 9(1). 136–136. 7 indexed citations

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

Tahir, Wardah, et al.. (2022). Mean Field Bias Correction to Radar QPE as Input to Flood Modeling for Malaysian River Basins. International Journal of Integrated Engineering. 14(5). 5 indexed citations

Ibrahim, Zaidah, et al.. (2022). Crime Scene Prediction Using the Integration of K-Means Clustering and Support Vector Machine. 242–246.

Ibrahim, Zaidah, et al.. (2022). Real-Time Plastic Surface Defect Detection Using Deep Learning. 111–116. 11 indexed citations

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

Ibrahim, Zaidah, et al.. (2022). An Assessment Algorithm for Indoor Evacuation Model. SHILAP Revista de lepidopterología. 6(1-2). 168–168. 1 indexed citations

Minarno, Agus Eko, et al.. (2022). Classification of Diabetic Retinopathy Disease Using Convolutional Neural Network. SHILAP Revista de lepidopterología. 6(1). 12–12. 15 indexed citations

Samah, Khyrina Airin Fariza Abu, et al.. (2020). Conceptual Framework for Intelligent Indoor Evacuation Model Assessment Algorithm Using Integrated Assessment Model. International Journal of Advanced Trends in Computer Science and Engineering. 9(1.4). 289–294. 1 indexed citations

10.

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

11.

Ibrahim, Zaidah, et al.. (2019). Comparison of convolutional neural network and bag of features for multi-font digit recognition. Indonesian Journal of Electrical Engineering and Computer Science. 15(3). 1322–1322. 2 indexed citations

12.

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

13.

Sabri, Nurbaity, et al.. (2019). 2D Photogrammetry Image of Scoliosis Lenke Type Classification Using Deep Learning. 437–440. 7 indexed citations

14.

Tahir, Wardah, et al.. (2019). CLIMATOLOGICAL CALIBRATION OF Z-R RELATIONSHIP FOR PAHANG RIVER BASIN. Jurnal Teknologi. 81(4). 6 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.

Tahir, Wardah, et al.. (2018). GEOSTATIONARY METEOROLOGICAL SATELLITE-BASED QUANTITATIVE RAINFALL ESTIMATION (GMS-RAIN) FOR FLOOD FORECASTING. Malaysian Journal of Civil Engineering. 21(1). 1 indexed citations

17.

Sabri, Nurbaity, et al.. (2017). Educational game as interactive learning for hurricane safety. 41. 206–210. 1 indexed citations

18.

Sabri, Nurbaity, et al.. (2016). Human detection in video surveillance using texture features. 48. 45–50. 3 indexed citations

19.

Ibrahim, Zaidah, et al.. (2012). Mobile phone customers churn prediction using elman and Jordan Recurrent Neural Network. 673–678. 3 indexed citations

20.

Ibrahim, Zaidah, et al.. (2008). Predicting students’ academic achievement: Comparison between logistic regression, artificial neural network, and Neuro-fuzzy. 1–6. 19 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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