Aminul Haque

495 total citations
37 papers, 296 citations indexed

About

Aminul Haque is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Aminul Haque has authored 37 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Aminul Haque's work include Distributed and Parallel Computing Systems (7 papers), Peer-to-Peer Network Technologies (3 papers) and Wireless Body Area Networks (3 papers). Aminul Haque is often cited by papers focused on Distributed and Parallel Computing Systems (7 papers), Peer-to-Peer Network Technologies (3 papers) and Wireless Body Area Networks (3 papers). Aminul Haque collaborates with scholars based in Bangladesh, Malaysia and United Arab Emirates. Aminul Haque's co-authors include Mohammad Hanif Ali, Saadat M. Alhashmi, Rajendran Parthiban, Sabbir Ahmed, Tanvir Hasan, D. M. Broom, Syed Nazmus Sakib, Nusrat Khan, Shamsul Haque and Md. Zahirul Islam and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Agriculture Ecosystems & Environment.

In The Last Decade

Aminul Haque

37 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aminul Haque Bangladesh 9 95 81 55 50 47 37 296
Sachin Bhardwaj Netherlands 10 117 1.2× 52 0.6× 86 1.6× 33 0.7× 96 2.0× 29 274
Anming Dong China 12 70 0.7× 38 0.5× 204 3.7× 37 0.7× 32 0.7× 47 373
Md. Humayun Kabir Bangladesh 10 139 1.5× 22 0.3× 107 1.9× 38 0.8× 52 1.1× 55 298
Panagiotis Kasnesis Greece 9 121 1.3× 28 0.3× 45 0.8× 55 1.1× 62 1.3× 38 254
D. Turgay Altılar Türkiye 13 258 2.7× 70 0.9× 178 3.2× 56 1.1× 27 0.6× 55 446
Sze Wei Lee Malaysia 11 124 1.3× 43 0.5× 204 3.7× 10 0.2× 106 2.3× 44 420
Byeong-Gwon Kang South Korea 11 79 0.8× 33 0.4× 88 1.6× 54 1.1× 50 1.1× 47 353
Loreto Pescosolido Italy 12 288 3.0× 43 0.5× 157 2.9× 13 0.3× 35 0.7× 29 394
Arun Ravindran United States 11 81 0.9× 116 1.4× 162 2.9× 30 0.6× 27 0.6× 42 298
Pallav Kumar Deb India 11 195 2.1× 24 0.3× 80 1.5× 104 2.1× 31 0.7× 27 358

Countries citing papers authored by Aminul Haque

Since Specialization
Citations

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

Fields of papers citing papers by Aminul Haque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aminul Haque

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

All Works

20 of 20 papers shown
1.
Habib, Md. Tarek, et al.. (2025). A comprehensive image dataset for accurate diagnosis of betel leaf diseases using artificial intelligence in plant pathology. Data in Brief. 60. 111564–111564. 2 indexed citations
2.
Mahmud, Abdullah Al, Sami Azam, Sidratul Montaha, et al.. (2024). SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time. Neural Computing and Applications. 36(30). 18935–18959. 8 indexed citations
3.
Ahmed, Niaz, et al.. (2023). Unusual Presentation of a Large Multi-Septated Cystic Hygroma: A Case Report and Comprehensive Literature Review. Surgical Science. 14(7). 486–495. 1 indexed citations
4.
Pandey, Krishna Kant, et al.. (2023). Trajectory Planning and Collision Control of a Mobile Robot: A Penalty‐Based PSO Approach. Mathematical Problems in Engineering. 2023(1). 7 indexed citations
5.
Haque, Aminul, et al.. (2023). Recognition of Bangladeshi Sign Language (BdSL) Words using Deep Convolutional Neural Networks (DCNNs). Emerging Science Journal. 7(6). 2183–2201. 11 indexed citations
6.
Haque, Aminul, et al.. (2023). Improved vision-based diagnosis of multi-plant disease using an ensemble of deep learning methods. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(5). 5109–5109. 12 indexed citations
7.
Haque, Aminul, et al.. (2023). PithaNet: A transfer learning-based approach for traditional pitha classification. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(5). 5431–5431. 1 indexed citations
8.
Ali, Mohammad Hanif, et al.. (2021). Node Mobility Optimization in Multi-hop WBAN Using Genetic Algorithm. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
9.
Ali, Mohammad Hanif, et al.. (2021). Scenario Based Transmission Power Control (TPC) Analysis over Wireless Body Area Network (WBAN). Communications and Network. 13(3). 93–110. 2 indexed citations
10.
Ali, Mohammad Hanif, et al.. (2020). A Detailed Exploration of Usability Statistics and Application Rating Based on Wireless Protocols. SHILAP Revista de lepidopterología. 2 indexed citations
11.
Ali, Mohammad Hanif, et al.. (2020). Machine Learning-Based Driving License Management through Wireless Ad-Hoc Networks using NFC. International Journal of Recent Technology and Engineering (IJRTE). 8(5). 5146–5152. 1 indexed citations
12.
Ali, Mohammad Hanif, et al.. (2020). IoT-NFC Controlled Remote Access Security and an Exploration through Machine Learning. 9. 1–10. 2 indexed citations
13.
Siddik, Ashraf, et al.. (2020). DSR and OLSR routing protocol based performance evaluation and integration on MIP with MANET. Indonesian Journal of Electrical Engineering and Computer Science. 17(3). 1306–1306. 1 indexed citations
14.
Paul, Shyamal Kumar, et al.. (2019). Molecular characterization of Orientia tsutsugamushi causing scrub typhus among febrile patients in north-central Bangladesh. New Microbes and New Infections. 32. 100595–100595. 4 indexed citations
15.
Haque, Aminul, et al.. (2016). Cross-gender acoustic differences in hypernasal speech and detection of hypernasality. 187–191. 3 indexed citations
16.
Haque, Aminul, Saadat M. Alhashmi, & Rajendran Parthiban. (2014). Identifying and Modeling the Strengths and Weaknesses of Major Economic Models in Grid Resource Management. Journal of Grid Computing. 12(2). 285–302. 2 indexed citations
17.
Haque, Aminul, Saadat M. Alhashmi, & Rajendran Parthiban. (2010). Continuous Double Auction in Grid Computing: An Agent Based Approach to Maximize Profit for Providers. 347–351. 1 indexed citations
18.
Haque, Aminul, et al.. (2009). Detection of Small Variations Of ECG Features Using Wavelet. 31 indexed citations
19.
Haque, Aminul & D. M. Broom. (1985). Experiments comparing the use of kites and gas bangers to protect crops from woodpigeon damage. Agriculture Ecosystems & Environment. 12(3). 219–228. 10 indexed citations
20.
Haque, Aminul, et al.. (1982). Laboratory rearing of woodpigeons (Columba palumbus). Laboratory Animals. 16(2). 114–115. 4 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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