Md. Ashraf Uddin

4.7k total citations · 5 hit papers
131 papers, 2.5k citations indexed

About

Md. Ashraf Uddin is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Md. Ashraf Uddin has authored 131 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 35 papers in Computer Networks and Communications and 28 papers in Information Systems. Recurrent topics in Md. Ashraf Uddin's work include Blockchain Technology Applications and Security (19 papers), IoT and Edge/Fog Computing (15 papers) and Fluid Dynamics and Turbulent Flows (14 papers). Md. Ashraf Uddin is often cited by papers focused on Blockchain Technology Applications and Security (19 papers), IoT and Edge/Fog Computing (15 papers) and Fluid Dynamics and Turbulent Flows (14 papers). Md. Ashraf Uddin collaborates with scholars based in Bangladesh, Australia and Saudi Arabia. Md. Ashraf Uddin's co-authors include Md. Alamin Talukder, Md. Manowarul Islam, Iqbal Gondal, Andrew Stranieri, Venki Balasubramanian, Arnisha Akhter, Sunil Aryal, Mohammad Ali Moni, Khondokar Fida Hasan and Selina Sharmin and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Md. Ashraf Uddin

117 papers receiving 2.4k citations

Hit Papers

5 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.

A survey on the adoption of blockchain in IoT: challenges and solutions

2021 229 citations Md. Ashraf Uddin, Iqbal Gondal et al. Blockchain Research and Applications profile →
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning

2022 176 citations Md. Alamin Talukder, Md. Manowarul Islam et al. profile →
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning

2023 106 citations Md. Alamin Talukder, Md. Manowarul Islam et al. profile →
Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications

2024 104 citations Rajib Kumar Halder, Mohammed Nasir Uddin et al. Journal Of Big Data profile →
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

2024 94 citations Md. Alamin Talukder, Md. Manowarul Islam et al. Journal Of Big Data profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Md. Ashraf Uddin Bangladesh	27	959	783	744	343	279	131	2.5k
Kuruva Lakshmanna India	23	876 0.9×	646 0.8×	335 0.5×	242 0.7×	420 1.5×	51	2.7k
R. Manikandan India	27	687 0.7×	585 0.7×	388 0.5×	328 1.0×	327 1.2×	148	2.2k
Piyush Kumar Shukla India	30	842 0.9×	587 0.7×	369 0.5×	455 1.3×	515 1.8×	181	2.8k
Sahil Verma India	30	618 0.6×	1.0k 1.3×	704 0.9×	183 0.5×	354 1.3×	123	2.8k
Bhisham Sharma India	27	554 0.6×	875 1.1×	770 1.0×	221 0.6×	350 1.3×	106	2.2k
Atta Rahman Saudi Arabia	28	761 0.8×	540 0.7×	389 0.5×	289 0.8×	328 1.2×	163	2.4k
Vinayakumar Ravi Saudi Arabia	31	1.1k 1.1×	1.1k 1.4×	496 0.7×	451 1.3×	321 1.2×	194	2.8k
Rajesh Kaluri India	21	869 0.9×	649 0.8×	366 0.5×	239 0.7×	352 1.3×	48	2.4k
Sami Bourouis Saudi Arabia	29	845 0.9×	424 0.5×	364 0.5×	249 0.7×	596 2.1×	110	2.5k
S. Neelakandan India	30	743 0.8×	754 1.0×	448 0.6×	142 0.4×	360 1.3×	75	2.5k

Countries citing papers authored by Md. Ashraf Uddin

Since Specialization

Citations

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

Fields of papers citing papers by Md. Ashraf Uddin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Ashraf Uddin

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Ashraf Uddin. A scholar is included among the top collaborators of Md. Ashraf Uddin 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 Md. Ashraf Uddin. Md. Ashraf Uddin 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

Halder, Rajib Kumar, Mohammed Nasir Uddin, & Md. Ashraf Uddin. (2025). A novel region based neighbors searching classification algorithm for big data. SHILAP Revista de lepidopterología. 6. 516–536.

Dey, Diganta, et al.. (2025). Evaluating blockchain platforms for IoT applications in Industry 5.0: A comprehensive review. Blockchain Research and Applications. 6(3). 100276–100276. 6 indexed citations

Uddin, Md. Ashraf, et al.. (2025). Abnormal Driving Behavior Detection: A Machine and Deep Learning Based Hybrid Model. International Journal of Intelligent Transportation Systems Research. 23(1). 568–591. 2 indexed citations

Khraisat, Ansam, et al.. (2025). Securing federated learning: a defense strategy against targeted data poisoning attack. SHILAP Revista de lepidopterología. 5(1). 6 indexed citations

Uddin, Khandaker Mohammad Mohi, et al.. (2025). An application to detect osteoporosis using ensemble Machine learning with hyperparameter tuning and model interpretability. SHILAP Revista de lepidopterología. 8. 177–200.

Ali, M, Saiful Islam, Mohammed Nasir Uddin, & Md. Ashraf Uddin. (2024). A conceptual IoT framework based on Anova-F feature selection for chronic kidney disease detection using deep learning approach. Intelligence-Based Medicine. 10. 100170–100170. 1 indexed citations

Halder, Rajib Kumar, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal, & Ansam Khraisat. (2024). Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications. Journal Of Big Data. 11(1). 104 indexed citations breakdown →

Talukder, Md. Alamin, et al.. (2024). Securing transactions: a hybrid dependable ensemble machine learning model using IHT-LR and grid search. Cybersecurity. 7(1). 15 indexed citations

Uddin, Md. Ashraf, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, & Md. Alamin Talukder. (2024). A dual-tier adaptive one-class classification IDS for emerging cyberthreats. Computer Communications. 229. 108006–108006. 8 indexed citations

10.

Uddin, Md. Ashraf, et al.. (2024). Hypertuning-Based Ensemble Machine Learning Approach for Real-Time Water Quality Monitoring and Prediction. Applied Sciences. 14(19). 8622–8622. 8 indexed citations

11.

Islam, Md. Manowarul, Md. Ashraf Uddin, Md. Alamin Talukder, et al.. (2023). Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data. Genes. 14(9). 1802–1802. 10 indexed citations

12.

Halder, Rajib Kumar, Mohammed Nasir Uddin, Md. Ashraf Uddin, et al.. (2023). A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4—Methylcytosine Using Deep Learning Approach. Genes. 14(3). 582–582. 4 indexed citations

13.

Uddin, Md. Ashraf, et al.. (2023). An ensemble machine learning based bank loan approval predictions system with a smart application. SHILAP Revista de lepidopterología. 4. 327–339. 26 indexed citations

14.

Uddin, Md. Ashraf, et al.. (2023). Person Recognition Based on Deep Gait: A Survey. Sensors. 23(10). 4875–4875. 9 indexed citations

15.

Alazab, Ammar, Mohammed Nasir Uddin, Md. Ashraf Uddin, et al.. (2023). Smart Contract-Based Access Control Framework for Internet of Things Devices. Computers. 12(11). 240–240. 7 indexed citations

16.

Akhter, Arnisha, Uzzal Kumar Acharjee, Md. Alamin Talukder, Md. Manowarul Islam, & Md. Ashraf Uddin. (2023). A robust hybrid machine learning model for Bengali cyber bullying detection in social media. 4. 100027–100027. 38 indexed citations

17.

Islam, Md. Manowarul, Md. Alamin Talukder, Md. Ashraf Uddin, et al.. (2023). A robust and clinically applicable deep learning model for early detection of Alzheimer's. IET Image Processing. 17(14). 3959–3975. 23 indexed citations

18.

Acharjee, Uzzal Kumar, et al.. (2022). Sequence-to-Sequence Learning-Based Conversion of Pseudo-Code to Source Code Using Neural Translation Approach. IEEE Access. 10. 26730–26742. 3 indexed citations

19.

Uddin, Md. Ashraf, et al.. (2013). Priority Metric based Ad Hoc Routing for Underwater Sensor Network. International Journal of Computer Network and Information Security. 5(12). 1. 3 indexed citations

20.

Guo, Yang, Chisachi KATO, Md. Ashraf Uddin, & Yoshinobu Yamade. (2005). Large Eddy Simulation of Some Benchmark Turbulent Flows Using "Front Flow/Blue". 57(1). 18–22.

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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