Abdullah

449 total citations · 1 hit paper
10 papers, 249 citations indexed

About

Abdullah is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Abdullah has authored 10 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Control and Systems Engineering, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Abdullah's work include Water Quality Monitoring Technologies (2 papers), Industrial Vision Systems and Defect Detection (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Abdullah is often cited by papers focused on Water Quality Monitoring Technologies (2 papers), Industrial Vision Systems and Defect Detection (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Abdullah collaborates with scholars based in South Korea, Pakistan and Brazil. Abdullah's co-authors include Hee‐Cheol Kim, Sikandar Ali, Ali Hussain, Ali Athar, Tagne Poupi Theodore Armand, Moon-Il Joo, Muhammad Yaseen, Subrata Bhattacharjee, Sher Ali and Fernando Gustavo Tonin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Abdullah

10 papers receiving 234 citations

Hit Papers

Metaverse in Healthcare Integrated with Explainable AI an... 2023 2026 2024 2025 2023 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security
    2023 121 citations Sikandar Ali, Abdullah et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdullah South Korea 7 50 43 41 30 27 10 249
Jennifer Eunice India 9 67 1.3× 87 2.0× 26 0.6× 48 1.6× 37 1.4× 20 452
Anil Audumbar Pise South Africa 8 53 1.1× 44 1.0× 8 0.2× 40 1.3× 59 2.2× 14 233
Abhinav Juneja India 10 61 1.2× 35 0.8× 10 0.2× 29 1.0× 35 1.3× 23 225
Muhammad Iqbal Hossain Bangladesh 10 88 1.8× 105 2.4× 15 0.4× 79 2.6× 36 1.3× 59 311
Ervin Gubin Moung Malaysia 10 73 1.5× 17 0.4× 6 0.1× 21 0.7× 69 2.6× 45 274
Shaleeza Sohail Australia 9 103 2.1× 117 2.7× 23 0.6× 165 5.5× 18 0.7× 31 357
Md Amiruzzaman United States 9 47 0.9× 15 0.3× 8 0.2× 13 0.4× 77 2.9× 56 244
Tasnim Ahmed Bangladesh 10 99 2.0× 14 0.3× 10 0.2× 7 0.2× 54 2.0× 24 363
Deema Mohammed Alsekait Saudi Arabia 8 67 1.3× 39 0.9× 7 0.2× 40 1.3× 12 0.4× 46 240

Countries citing papers authored by Abdullah

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah

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

All Works

10 of 10 papers shown
1.
Athar, Ali, Md Ariful Islam Mozumder, Abdullah, Sikandar Ali, & Hee‐Cheol Kim. (2024). Deep learning-based anomaly detection using one-dimensional convolutional neural networks (1D CNN) in machine centers (MCT) and computer numerical control (CNC) machines. PeerJ Computer Science. 10. e2389–e2389. 5 indexed citations
2.
Ali, Sher, et al.. (2023). Food processing and challenges in the food production and quality: The foodomics approach. Food Bioscience. 56. 103217–103217. 16 indexed citations
3.
Ali, Sikandar, Abdullah, Tagne Poupi Theodore Armand, et al.. (2023). Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security. Sensors. 23(2). 565–565. 121 indexed citations breakdown →
4.
5.
Ali, Sher, Muhammad Siddique Afridi, Abdullah, et al.. (2022). NMR spectroscopy spotlighting immunogenicity induced by COVID-19 vaccination to mitigate future health concerns. SHILAP Revista de lepidopterología. 3. 199–214. 3 indexed citations
6.
Abdullah, et al.. (2022). Multiclass-Classification of Algae using Dc-GAN and Transfer Learning. 1–6. 6 indexed citations
7.
Hussain, Ali, Sikandar Ali, Abdullah, & Hee‐Cheol Kim. (2022). Activity Detection for the Wellbeing of Dogs Using Wearable Sensors Based on Deep Learning. IEEE Access. 10. 53153–53163. 34 indexed citations
8.
9.
Ali, Sikandar, Ali Hussain, Subrata Bhattacharjee, et al.. (2022). Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model. Sensors. 22(24). 9983–9983. 11 indexed citations
10.
Abdullah. (2011). Object Exploration Using a Three-Axis Tactile Sensing Information. Journal of Computer Science. 7(4). 499–504. 8 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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