Mohammad Abdul Azim

813 total citations · 1 hit paper
28 papers, 393 citations indexed

About

Mohammad Abdul Azim is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Mohammad Abdul Azim has authored 28 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 9 papers in Electrical and Electronic Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Mohammad Abdul Azim's work include Energy Efficient Wireless Sensor Networks (8 papers), Indoor and Outdoor Localization Technologies (5 papers) and Mobile Ad Hoc Networks (5 papers). Mohammad Abdul Azim is often cited by papers focused on Energy Efficient Wireless Sensor Networks (8 papers), Indoor and Outdoor Localization Technologies (5 papers) and Mobile Ad Hoc Networks (5 papers). Mohammad Abdul Azim collaborates with scholars based in Bangladesh, Australia and United Arab Emirates. Mohammad Abdul Azim's co-authors include Zeyar Aung, Zulfikar Alom, Abbas Jamalipour, Md Al Amin, Salekul Islam, N. Bouabdallah, Mrinal Kanti Baowaly, Haibo Hu, Beom-Su Kim and Md. Abdul Awal and has published in prestigious journals such as Scientific Reports, Computers & Security and Biomedical Signal Processing and Control.

In The Last Decade

Mohammad Abdul Azim

25 papers receiving 366 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.

Transfer learning: a friendly introduction

2022 237 citations Zulfikar Alom, Zeyar Aung et al. Journal Of Big Data profile →

Peers

Mohammad Abdul Azim

AI

CNC

RNMI

CVPR

EEE

Atifa Athar Pakistan

Pradeep Kumar Singh India

Summrina Kanwal Saudi Arabia

Georgii Valuev Russia

Mohammed Usman Saudi Arabia

Eatedal Alabdulkreem Saudi Arabia

Saleh Albelwi Saudi Arabia

Kamal Kumar Ghanshala India

Chitapong Wechtaisong Thailand

Atifa Athar Pakistan

Mohammad Abdul Azim

189 ×1.9

AI

116 ×1.7

CNC

73 ×1.2

RNMI

50 ×0.9

CVPR

63 ×1.1

EEE

Citations per year, relative to Mohammad Abdul Azim Mohammad Abdul Azim (= 1×) peers Atifa Athar

Countries citing papers authored by Mohammad Abdul Azim

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Abdul Azim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Abdul Azim

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Abdul Azim. A scholar is included among the top collaborators of Mohammad Abdul Azim 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 Mohammad Abdul Azim. Mohammad Abdul Azim 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

1.

Khan, Hasib, et al.. (2025). A COUPLED NONLINEAR SYSTEM OF INTEGRO-DIFFERENTIAL EQUATIONS USING MODIFIED ABC OPERATOR. Fractals. 33(6).

2.

Azim, Mohammad Abdul, et al.. (2024). Correlating physico-chemical properties of analytes with Hansen solubility parameters of solvents using machine learning algorithm for predicting suitable extraction solvent. Scientific Reports. 14(1). 18741–18741. 1 indexed citations

3.

Alom, Zulfikar, et al.. (2024). Augmented Reality in Health Care: A Review. Lecture notes in networks and systems. 305–323.

4.

Islam, A.K.M. Muzahidul, et al.. (2023). A slice selection guided deep integrated pipeline for Alzheimer’s prediction from Structural Brain MRI. Biomedical Signal Processing and Control. 89. 105773–105773. 12 indexed citations

5.

Alom, Zulfikar, et al.. (2022). Transfer learning: a friendly introduction. Journal Of Big Data. 9(1). 102–102. 237 indexed citations breakdown →

6.

Saeed, Mamoon M., Rashid A. Saeed, Mohammad Abdul Azim, et al.. (2022). Green Machine Learning Approach for QoS Improvement in Cellular Communications. 523–528. 13 indexed citations

7.

Based, Md. Abdul, et al.. (2021). OLGBM: Optuna Optimized Light Gradient Boosting Machine for Intrusion Detection. 1–4. 3 indexed citations

8.

Alom, Zulfikar, et al.. (2021). Knapsack graph-based privacy checking for smart environments. Computers & Security. 105. 102240–102240. 5 indexed citations

9.

Alom, Zulfikar, et al.. (2021). Understanding World Happiness using Machine Learning Techniques. 1–4. 6 indexed citations

10.

Hu, Haibo, et al.. (2021). SeizeMaliciousURL: A novel learning approach to detect malicious URLs. Journal of Information Security and Applications. 62. 102967–102967. 11 indexed citations

11.

Azim, Mohammad Abdul, et al.. (2016). Real-time routing protocols for (m,k)-firm streams based on multi-criteria in wireless sensor networks. Wireless Networks. 23(4). 1233–1248. 9 indexed citations

12.

Azim, Mohammad Abdul, Zeyar Aung, Weidong Xiao, Vinod Khadkikar, & Abbas Jamalipour. (2015). SPSA‐NC: simultaneous perturbation stochastic approximation localization based on neighbor confidence. Wireless Communications and Mobile Computing. 16(12). 1570–1587. 1 indexed citations

13.

Azim, Mohammad Abdul, Zeyar Aung, Weidong Xiao, & Vinod Khadkikar. (2015). Constrained Cross Entropy Localization Technique for Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 11(5). 267369–267369. 2 indexed citations

14.

Azim, Mohammad Abdul, et al.. (2014). Energy-Efficient Methods for Highly Correlated Spatio-Temporal Environments in Wireless Sensor Network Communications. Wireless Sensor Network. 6(5). 67–92. 4 indexed citations

15.

Azim, Mohammad Abdul, Zeyar Aung, Weidong Xiao, Vinod Khadkikar, & Abbas Jamalipour. (2012). Localization in wireless sensor networks by constrained simultaneous perturbation stochastic approximation technique. 1–9. 3 indexed citations

16.

Azim, Mohammad Abdul, et al.. (2008). An optimized forwarding protocol for lifetime extension of wireless sensor networks. Wireless Communications and Mobile Computing. 9(1). 103–115. 6 indexed citations

17.

Azim, Mohammad Abdul, et al.. (2008). Designing an Application-Aware Routing Protocol for Wireless Sensor Networks. 1. 1–5. 2 indexed citations

18.

Azim, Mohammad Abdul & Abbas Jamalipour. (2007). Performance Evaluation of Optimized Forwarding Strategy for Flat Sensor Networks. 710–714. 8 indexed citations

19.

Jamalipour, Abbas & Mohammad Abdul Azim. (2006). Two-Layer Optimized Forwarding for Cluster-Based Sensor Networks. 1–6. 5 indexed citations

20.

Azim, Mohammad Abdul & Abbas Jamalipour. (2005). An efficient elliptic curve cryptography based authenticated key agreement protocol for wireless LAN security. corr 99 34. 376–380. 7 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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