AKM Azad

2.3k total citations · 2 hit papers
86 papers, 1.4k citations indexed

About

AKM Azad is a scholar working on Molecular Biology, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, AKM Azad has authored 86 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in AKM Azad's work include Bioinformatics and Genomic Networks (11 papers), Energy Harvesting in Wireless Networks (8 papers) and COVID-19 diagnosis using AI (7 papers). AKM Azad is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Energy Harvesting in Wireless Networks (8 papers) and COVID-19 diagnosis using AI (7 papers). AKM Azad collaborates with scholars based in Australia, Bangladesh and Saudi Arabia. AKM Azad's co-authors include Mohammad Ali Moni, Salem A. Alyami, Mohammad Abu Yousuf, Joarder Kamruzzaman, Nemai Chandra Karmakar, Md Whaiduzzaman, Nuruzzaman Faruqui, Kazi Abu Taher, Md. Rashed-Al-Mahfuz and Alistair Barros and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

AKM Azad

73 papers receiving 1.4k 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.

Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor

2022 144 citations Mohammad Abu Yousuf, Sabbir Ahmed et al. profile →
LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data

2021 142 citations Nuruzzaman Faruqui, Mohammad Abu Yousuf et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
AKM Azad Australia	19	364	272	212	198	192	86	1.4k
Kaijian Xia China	19	401 1.1×	399 1.5×	259 1.2×	110 0.6×	102 0.5×	94	1.3k
Abdelmgeid A. Ali Egypt	18	645 1.8×	385 1.4×	286 1.3×	135 0.7×	121 0.6×	33	1.5k
Fuqian Shi China	23	301 0.8×	445 1.6×	189 0.9×	168 0.8×	110 0.6×	76	1.5k
Alex Noel Joseph Raj China	22	548 1.5×	473 1.7×	440 2.1×	67 0.3×	112 0.6×	84	1.4k
Galip Aydın Türkiye	17	365 1.0×	225 0.8×	183 0.9×	154 0.8×	47 0.2×	45	1.2k
Shtwai Alsubai Saudi Arabia	20	504 1.4×	354 1.3×	240 1.1×	174 0.9×	98 0.5×	182	1.5k
Ahmed Sedik Egypt	16	292 0.8×	404 1.5×	275 1.3×	70 0.4×	58 0.3×	56	1.1k
Zulfiqar Ali Saudi Arabia	28	865 2.4×	427 1.6×	142 0.7×	174 0.9×	82 0.4×	78	2.1k
Shabana Urooj India	24	289 0.8×	319 1.2×	157 0.7×	282 1.4×	621 3.2×	155	1.7k
Radim Bürget Czechia	22	443 1.2×	554 2.0×	557 2.6×	205 1.0×	95 0.5×	139	1.8k

Countries citing papers authored by AKM Azad

Since Specialization

Citations

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

Fields of papers citing papers by AKM Azad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of AKM Azad

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

Arifuzzaman, Md, et al.. (2025). Machine learning models for mechanical properties prediction of basalt fiber-reinforced concrete incorporating graphical user interface. Scientific Reports. 15(1). 37029–37029.

Hasan, Md. Mahmudul, et al.. (2025). STSA ‐Based Early‐Stage Detection of Small Brain Tumors Using Neural Network. Engineering Reports. 7(5).

Hasan, Khondokar Fida, Humayan Kabir Rana, Md. Saifur Rahman, et al.. (2025). Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of COVID-19 detection. Charles Sturt University Research Output (CRO). 6. 12–44.

Azad, AKM, et al.. (2024). An interpretable electrocardiogram-based model for predicting arrhythmia and ischemia in cardiovascular disease. Results in Engineering. 24. 103381–103381. 16 indexed citations

Azad, AKM, et al.. (2024). An innovative Solar-Power fed atmospheric water Generator: Quantity and quality Assessments. Applied Thermal Engineering. 259. 124887–124887. 6 indexed citations

Naeem, Nafeesa, Md. Ali Hossain, Md Nur Alam, et al.. (2024). An Integrated Framework to Identify Prognostic Biomarkers and Novel Therapeutic Targets in Hepatocellular Carcinoma-Based Disabilities. Biology. 13(12). 966–966.

Nobel, S. M. Nuruzzaman, S M Masfequier Rahman Swapno, Md Babul Islam, et al.. (2024). A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma Subtypes. SHILAP Revista de lepidopterología. 7(5). 15 indexed citations

Sayeed, Abu, et al.. (2024). An effective screening of COVID‐19 pneumonia by employing chest X‐ray segmentation and attention‐based ensembled classification. IET Image Processing. 18(9). 2400–2416.

Faruqui, Nuruzzaman, Mohammad Abu Yousuf, AKM Azad, et al.. (2024). Multi-View Soft Attention-Based Model for the Classification of Lung Cancer-Associated Disabilities. Diagnostics. 14(20). 2282–2282. 6 indexed citations

10.

Ahmed, Fee Faysal, Md. Shahedur Rahman, Md Rashid, et al.. (2023). Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches. Scientific Reports. 13(1). 19072–19072. 6 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.

Koch, Forrest, et al.. (2022). dRNASb: a systems biology approach to decipher dynamics of host-pathogen interactions using temporal dual RNA-seq data. Microbial Genomics. 8(9). 1 indexed citations

13.

Ahamad, Md. Martuza, Sakifa Aktar, Md. Jamal Uddin, et al.. (2022). Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity. Healthcare. 11(1). 31–31. 22 indexed citations

14.

Ahamad, Md. Martuza, Sakifa Aktar, Md. Jamal Uddin, et al.. (2022). Early-Stage Detection of Ovarian Cancer Based on Clinical Data Using Machine Learning Approaches. Journal of Personalized Medicine. 12(8). 1211–1211. 37 indexed citations

15.

Akter, Tania, Mohammad Hanif Ali, Md. Imran Khan, et al.. (2021). Improved Transfer-Learning-Based Facial Recognition Framework to Detect Autistic Children at an Early Stage. Brain Sciences. 11(6). 734–734. 71 indexed citations

16.

Aktar, Sakifa, Ashis Talukder, Md. Martuza Ahamad, et al.. (2021). Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19. Diagnostics. 11(8). 1383–1383. 26 indexed citations

17.

Chakraborty, Partha, Sabbir Ahmed, Mohammad Abu Yousuf, et al.. (2021). A Human-Robot Interaction System Calculating Visual Focus of Human’s Attention Level. IEEE Access. 9. 93409–93421. 23 indexed citations

18.

Aktar, Sakifa, Md. Martuza Ahamad, Md. Rashed-Al-Mahfuz, et al.. (2021). Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development. JMIR Medical Informatics. 9(4). e25884–e25884. 52 indexed citations

19.

Azad, AKM, et al.. (2020). A comprehensive integrated drug similarity resource for in-silico drug repositioning and beyond. Briefings in Bioinformatics. 22(3). 12 indexed citations

20.

Azad, AKM, et al.. (2020). Implementation of Torque Sensor Technology in Electric Bicycle with Solar Charging Kit. 2020 IEEE Region 10 Symposium (TENSYMP). 718–721. 3 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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