Ahsan Adeel

1.6k total citations
35 papers, 808 citations indexed

About

Ahsan Adeel is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ahsan Adeel has authored 35 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 13 papers in Artificial Intelligence and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Ahsan Adeel's work include Advanced MIMO Systems Optimization (11 papers), Speech and Audio Processing (8 papers) and Cooperative Communication and Network Coding (8 papers). Ahsan Adeel is often cited by papers focused on Advanced MIMO Systems Optimization (11 papers), Speech and Audio Processing (8 papers) and Cooperative Communication and Network Coding (8 papers). Ahsan Adeel collaborates with scholars based in United Kingdom, United States and Algeria. Ahsan Adeel's co-authors include Amir Hussain, Mandar Gogate, Cosimo Ieracitano, Francesco Carlo Morabito, Hadi Larijani, Kia Dashtipour, Ali Ahmadinia, Oluwakayode Onireti, Muhammad Ali Imran and Metin Öztürk and has published in prestigious journals such as IEEE Access, Neurocomputing and Information Fusion.

In The Last Decade

Ahsan Adeel

34 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahsan Adeel United Kingdom 15 441 292 229 115 113 35 808
Xueyang Wang China 12 336 0.8× 284 1.0× 306 1.3× 93 0.8× 70 0.6× 27 715
Sayan Ghosh United States 14 408 0.9× 119 0.4× 86 0.4× 56 0.5× 144 1.3× 72 802
Christopher Mutschler Germany 18 277 0.6× 147 0.5× 216 0.9× 401 3.5× 200 1.8× 81 956
Binghui Wang United States 19 922 2.1× 321 1.1× 221 1.0× 70 0.6× 206 1.8× 68 1.4k
Andrew Hines Ireland 15 186 0.4× 524 1.8× 427 1.9× 257 2.2× 272 2.4× 87 1.2k
David Zhao United States 12 349 0.8× 318 1.1× 392 1.7× 23 0.2× 109 1.0× 30 694
A.K. Majumdar India 12 230 0.5× 295 1.0× 297 1.3× 59 0.5× 183 1.6× 71 795
Yufei Han China 15 254 0.6× 155 0.5× 171 0.7× 44 0.4× 76 0.7× 63 655
Chaoyi Pang China 15 268 0.6× 83 0.3× 129 0.6× 26 0.2× 300 2.7× 61 647
Ou Wu China 18 642 1.5× 154 0.5× 129 0.6× 43 0.4× 380 3.4× 68 1.1k

Countries citing papers authored by Ahsan Adeel

Since Specialization
Citations

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

Fields of papers citing papers by Ahsan Adeel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahsan Adeel

This figure shows the co-authorship network connecting the top 25 collaborators of Ahsan Adeel. A scholar is included among the top collaborators of Ahsan Adeel 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 Ahsan Adeel. Ahsan Adeel 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.
Gupta, Ankit, et al.. (2023). Deep Learning-Based Receiver Design for IoT Multi-User Uplink 5G-NR System. Edinburgh Napier Research Repository (Edinburgh Napier University). 4110–4115. 1 indexed citations
2.
Passos, Leandro A., et al.. (2022). PL-kNN: A Python-based implementation of a parameterless k -Nearest Neighbors classifier. Software Impacts. 15. 100459–100459. 11 indexed citations
3.
Shah, Awais Aziz, Ahsan Adeel, Jawad Ahmad, et al.. (2022). A Novel Chaos-based Light-weight Image Encryption Scheme for Multi-modal Hearing Aids. 1–6. 2 indexed citations
4.
Passos, Leandro A., João Paulo Papa, Amir Hussain, & Ahsan Adeel. (2022). Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids. Neurocomputing. 527. 196–203. 11 indexed citations
5.
Dashtipour, Kia, Mandar Gogate, Ahsan Adeel, Hadi Larijani, & Amir Hussain. (2021). Sentiment Analysis of Persian Movie Reviews Using Deep Learning. Entropy. 23(5). 596–596. 68 indexed citations
6.
Guellil, Imane, Ahsan Adeel, Faiçal Azouaou, et al.. (2021). A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect. SN Computer Science. 2(2). 28 indexed citations
7.
Larijani, Hadi, et al.. (2020). An Adversarial Approach for Intrusion Detection Systems Using Jacobian Saliency Map Attacks (JSMA) Algorithm. Computers. 9(3). 58–58. 16 indexed citations
8.
Howard, Newton, et al.. (2020). BrainOS: A Novel Artificial Brain-Alike Automatic Machine Learning Framework. Frontiers in Computational Neuroscience. 14. 16–16. 7 indexed citations
9.
Guellil, Imane, et al.. (2020). Detecting hate speech against politicians in Arabic community on social media. International Journal of Web Information Systems. 16(3). 295–313. 18 indexed citations
10.
Adeel, Ahsan, Mandar Gogate, & Amir Hussain. (2019). Contextual deep learning-based audio-visual switching for speech enhancement in real-world environments. Information Fusion. 59. 163–170. 56 indexed citations
11.
Ieracitano, Cosimo, Ahsan Adeel, Francesco Carlo Morabito, & Amir Hussain. (2019). A novel statistical analysis and autoencoder driven intelligent intrusion detection approach. Neurocomputing. 387. 51–62. 188 indexed citations
12.
Öztürk, Metin, Mandar Gogate, Oluwakayode Onireti, et al.. (2019). A novel deep learning driven, low-cost mobility prediction approach for 5G cellular networks: The case of the Control/Data Separation Architecture (CDSA). Neurocomputing. 358. 479–489. 63 indexed citations
13.
Nisar, Shibli, Muhammad Tariq, Ahsan Adeel, Mandar Gogate, & Amir Hussain. (2019). Cognitively Inspired Feature Extraction and Speech Recognition for Automated Hearing Loss Testing. Cognitive Computation. 11(4). 489–502. 16 indexed citations
14.
Adeel, Ahsan, et al.. (2018). A Survey on Techniques for Enhancing Speech. International Journal of Computer Applications. 179(17). 1–14. 13 indexed citations
15.
Ali, Liaqat, Summrina Kanwal, Zain Hussain, et al.. (2017). Machine learning based computer-aided diagnosis of liver tumours. Stirling Online Research Repository (University of Stirling). 139–145. 12 indexed citations
16.
Adeel, Ahsan, Hadi Larijani, & Ali Ahmadinia. (2016). Random neural network based cognitive engines for adaptive modulation and coding in LTE downlink systems. Computers & Electrical Engineering. 57. 336–350. 3 indexed citations
17.
Adeel, Ahsan, Hadi Larijani, & Ali Ahmadinia. (2015). Random neural network based novel decision making framework for optimized and autonomous power control in LTE uplink system. Physical Communication. 19. 106–117. 14 indexed citations
18.
Adeel, Ahsan, Hadi Larijani, Abbas Javed, & Ali Ahmadinia. (2015). Critical Analysis of Learning Algorithms in Random Neural Network Based Cognitive Engine for LTE Systems. ResearchOnline (Glasgow Caledonian University). 1–5. 15 indexed citations
19.
Adeel, Ahsan, Hadi Larijani, & Ali Ahmadinia. (2015). Random Neural Network Based Cognitive-eNodeB Deployment in LTE Uplink. 2015 IEEE Global Communications Conference (GLOBECOM). 5. 1–7. 5 indexed citations
20.
Adeel, Ahsan, Hadi Larijani, & Ali Ahmadinia. (2014). Performance analysis of random neural networks in LTE-UL of a cognitive radio system. ResearchOnline (Glasgow Caledonian University). 10. 1–5. 5 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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