Abdullah-Al Nahid

3.6k total citations · 3 hit papers
85 papers, 2.2k citations indexed

About

Abdullah-Al Nahid is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Abdullah-Al Nahid has authored 85 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 16 papers in Control and Systems Engineering. Recurrent topics in Abdullah-Al Nahid's work include AI in cancer detection (14 papers), Digital Imaging for Blood Diseases (8 papers) and Context-Aware Activity Recognition Systems (7 papers). Abdullah-Al Nahid is often cited by papers focused on AI in cancer detection (14 papers), Digital Imaging for Blood Diseases (8 papers) and Context-Aware Activity Recognition Systems (7 papers). Abdullah-Al Nahid collaborates with scholars based in Bangladesh, Australia and South Korea. Abdullah-Al Nahid's co-authors include Yinan Kong, Niloy Sikder, Hassan Abbas, Mehedi Masud, Anupam Kumar Bairagi, M. M. Manjurul Islam, Md. Nazmul Hasan, Mohammed A. AlZain, Rafia Nishat Toma and Ali Mehrabi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Abdullah-Al Nahid

75 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

Effective Intrusion Detection System Using XGBoost

2018 297 citations Abdullah-Al Nahid et al. profile →
A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework

2021 295 citations Mehedi Masud, Niloy Sikder et al. Sensors profile →
Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach

2019 259 citations Abdullah-Al Nahid et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abdullah-Al Nahid Bangladesh	23	973	667	521	492	290	85	2.2k
Habibollah Haron Malaysia	29	907 0.9×	292 0.4×	630 1.2×	669 1.4×	161 0.6×	144	3.1k
Dawid Połap Poland	28	1.1k 1.1×	296 0.4×	702 1.3×	284 0.6×	175 0.6×	113	2.6k
Engin Avcı Türkiye	29	861 0.9×	292 0.4×	800 1.5×	157 0.3×	169 0.6×	90	2.4k
Thomas Schlegl Germany	22	745 0.8×	1.1k 1.7×	407 0.8×	253 0.5×	315 1.1×	86	2.7k
Joon Huang Chuah Malaysia	26	496 0.5×	295 0.4×	458 0.9×	318 0.6×	92 0.3×	116	2.2k
Doaa Sami Khafaga Saudi Arabia	27	646 0.7×	144 0.2×	275 0.5×	363 0.7×	149 0.5×	145	2.1k
Mohamed Hammad Egypt	28	822 0.8×	463 0.7×	494 0.9×	155 0.3×	96 0.3×	78	2.8k
Romany F. Mansour Egypt	29	1.1k 1.1×	642 1.0×	675 1.3×	261 0.5×	114 0.4×	128	2.8k
Mohammad Shehab Jordan	22	1.1k 1.1×	131 0.2×	281 0.5×	402 0.8×	302 1.0×	60	2.2k
Hafiz Tayyab Rauf United Kingdom	35	1.0k 1.0×	620 0.9×	494 0.9×	156 0.3×	104 0.4×	121	2.9k

Countries citing papers authored by Abdullah-Al Nahid

Since Specialization

Citations

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

Fields of papers citing papers by Abdullah-Al Nahid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah-Al Nahid

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mustafa, Mohd Marzuki, et al.. (2025). Rehabilitation exercise score prediction through integration of spatial feature with graph structural learning. Engineering Applications of Artificial Intelligence. 155. 110833–110833.

Ksibi, Amel, et al.. (2025). Breast cancer prediction with feature-selected XGB classifier, optimized by metaheuristic algorithms. Journal Of Big Data. 12(1). 2 indexed citations

Choi, Kwonhue, et al.. (2025). CatBoost with physics-based metaheuristics for thyroid cancer recurrence prediction. BioData Mining. 18(1). 84–84.

Ahad, Md Atiqur Rahman, et al.. (2025). A deep learning model with interpretable squeeze-and-excitation for automated rehabilitation exercise assessment. Medical & Biological Engineering & Computing. 63(10). 2871–2887.

Sikder, Niloy, et al.. (2024). Heterogeneous virus classification using a functional deep learning model based on transmission electron microscopy images. Scientific Reports. 14(1). 28954–28954. 1 indexed citations

Tiang, Jun Jiat, et al.. (2024). KUNet-An Optimized AI Based Bengali Sign Language Translator for Hearing Impaired and Non Verbal People. IEEE Access. 12. 155052–155063. 1 indexed citations

Ferdaus, Jannatul, et al.. (2024). Analyzing Diabetes Detection and Classification: A Bibliometric Review (2000–2023). Sensors. 24(16). 5346–5346.

Khan, Md. Al-Masrur, et al.. (2023). Development of AI- and Robotics-Assisted Automated Pavement-Crack-Evaluation System. Remote Sensing. 15(14). 3573–3573. 7 indexed citations

Khan, Md. Al-Masrur, et al.. (2023). A Modified Aquila-Based Optimized XGBoost Framework for Detecting Probable Seizure Status in Neonates. Sensors. 23(16). 7037–7037. 12 indexed citations

10.

Samad, Md Abdus, et al.. (2023). A Bibliometric Analysis on Arrhythmia Detection and Classification from 2005 to 2022. Diagnostics. 13(10). 1732–1732. 13 indexed citations

11.

Khan, Md. Al-Masrur, et al.. (2023). Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP. Scientific Reports. 13(1). 6263–6263. 51 indexed citations

12.

Khan, Md. Al-Masrur, Seong‐Hoon Kee, Al‐Sakib Khan Pathan, & Abdullah-Al Nahid. (2023). Image Processing Techniques for Concrete Crack Detection: A Scientometrics Literature Review. Remote Sensing. 15(9). 2400–2400. 29 indexed citations

13.

Nahid, Abdullah-Al, et al.. (2023). KU-BdSL: An open dataset for Bengali sign language recognition. Data in Brief. 51. 109797–109797. 7 indexed citations

14.

Khan, Md. Al-Masrur, et al.. (2022). Finding the influential clinical traits that impact on the diagnosis of heart disease using statistical and machine-learning techniques. Scientific Reports. 12(1). 20199–20199. 2 indexed citations

15.

Khan, Md. Al-Masrur, et al.. (2021). A Vision-Based Lane Detection Approach for Autonomous Vehicles Using a Convolutional Neural Network Architecture. 1–10. 3 indexed citations

16.

Bairagi, Anupam Kumar, Mehedi Masud, Do Hyeon Kim, et al.. (2020). Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective. IEEE Access. 8. 215570–215581. 20 indexed citations

17.

Khan, Md. Al-Masrur, et al.. (2020). A Systematic Review on Reinforcement Learning-Based Robotics Within the Last Decade. IEEE Access. 8. 176598–176623. 26 indexed citations

18.

Nahid, Abdullah-Al & Yinan Kong. (2018). Histopathological Breast-Image Classification Using Concatenated R–G–B Histogram Information. Annals of Data Science. 6(3). 513–529. 8 indexed citations

19.

Rahman, Mohammed Mahbubur, et al.. (2010). Analysis of Large Scale Propagation Models for Mobile Communications in Urban Area. arXiv (Cornell University). 7(1). 135–139. 13 indexed citations

20.

Bose, Tarun Kanti, et al.. (2010). SMS advertising and its prospects in Bangladesh. Journal of Theoretical and Applied Information Technology. 11(2). 97–108. 1 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.

Explore authors with similar magnitude of impact