Ali Hassan

1.7k total citations
91 papers, 1.1k citations indexed

About

Ali Hassan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Ali Hassan has authored 91 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 16 papers in Cognitive Neuroscience. Recurrent topics in Ali Hassan's work include EEG and Brain-Computer Interfaces (14 papers), Neuroscience and Neural Engineering (8 papers) and Image Retrieval and Classification Techniques (7 papers). Ali Hassan is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Neuroscience and Neural Engineering (8 papers) and Image Retrieval and Classification Techniques (7 papers). Ali Hassan collaborates with scholars based in Pakistan, United Kingdom and United States. Ali Hassan's co-authors include Farhan Riaz, Saad Rehman, Imran Khan Niazi, R.I. Damper, Kim Dremstrup, Mahesan Niranjan, Usman Qamar, Miguel Coimbra, Muhammad Imran and Muhammad Ajmal Azad and has published in prestigious journals such as Journal of Clinical Oncology, Blood and IEEE Access.

In The Last Decade

Ali Hassan

75 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Hassan Pakistan 19 314 313 279 268 142 91 1.1k
G. Castellanos-Domínguez Colombia 20 490 1.6× 481 1.5× 471 1.7× 229 0.9× 118 0.8× 195 1.8k
Baha Şen Türkiye 14 233 0.7× 366 1.2× 220 0.8× 155 0.6× 61 0.4× 62 1.0k
Humaira Nisar Malaysia 17 138 0.4× 445 1.4× 147 0.5× 342 1.3× 168 1.2× 151 1.3k
Tharindu Fernando Australia 17 222 0.7× 358 1.1× 348 1.2× 328 1.2× 87 0.6× 45 1.2k
Musa Peker Türkiye 12 274 0.9× 409 1.3× 178 0.6× 146 0.5× 79 0.6× 27 855
Ergun Erçelebi Türkiye 16 311 1.0× 410 1.3× 251 0.9× 345 1.3× 42 0.3× 69 1.4k
Sugata Munshi India 21 174 0.6× 311 1.0× 285 1.0× 221 0.8× 56 0.4× 67 1.4k
Javad Haddadnia Iran 21 191 0.6× 263 0.8× 308 1.1× 601 2.2× 60 0.4× 126 1.4k
Marjane Khodatars Iran 17 148 0.5× 695 2.2× 302 1.1× 216 0.8× 103 0.7× 19 1.4k
Celia Shahnaz Bangladesh 20 431 1.4× 367 1.2× 226 0.8× 440 1.6× 103 0.7× 153 1.8k

Countries citing papers authored by Ali Hassan

Since Specialization
Citations

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

Fields of papers citing papers by Ali Hassan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Hassan

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Hassan. A scholar is included among the top collaborators of Ali Hassan 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 Ali Hassan. Ali Hassan 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.
Hassan, Ali, Dilshad Ahmed Khan, Shoab Ahmed Khan, et al.. (2025). AI-CADS: An Artificial Intelligence based framework for automatic early detection and severity evaluation of coronary artery disease. Biomedical Signal Processing and Control. 106. 107705–107705.
2.
Shahzad, Muhammad, et al.. (2025). Revealing the unspoken battle: limited awareness of PMDD and Its invisible consequences on women's well-being in Pakistan. Journal of the Pakistan Medical Association. 75(4). 688–689.
3.
Esat, Volkan, et al.. (2025). Computer Aided Engineering Design and Manufacturing. 1 indexed citations
4.
Hassan, Ali, et al.. (2025). EPR25-138: Glioblastoma Multiforme: A SEER STAT Analysis of Epidemiological, Laterality, and Anatomical Prognostic Indicators. Journal of the National Comprehensive Cancer Network. 23(3.5). 1 indexed citations
5.
Hassan, Ali, et al.. (2025). DaGAM-Trans: Dual graph attention module-based transformer for offline signature forgery detection. Results in Engineering. 27. 106425–106425.
6.
Hassan, Ali, et al.. (2024). Advanced Traffic Forecasting Integrating Temporal and Spatial Dependencies Using Hybrid Deep Learning Models. International Journal of Electronics and Communication Engineering. 11(9). 64–76.
7.
Rehman, Aqeeb Ur, et al.. (2024). Global and Regional Burden of Chronic Lymphocytic Leukemia from 1980 to 2021:an Analysis of Gbd Study 2021. Blood. 144(Supplement 1). 7741–7741. 1 indexed citations
8.
Hassan, Ali, et al.. (2024). Applications of Pruning Methods in Natural Language Processing. IEEE Access. 12. 89418–89438. 1 indexed citations
9.
Hassan, Ali, et al.. (2024). Pineal gland: Sleep, malignancy and statistics.. Journal of Clinical Oncology. 42(16_suppl). e14042–e14042.
10.
Hassan, Ali, et al.. (2024). Cancer statistics: The United States vs. worldwide.. Journal of Clinical Oncology. 42(16_suppl). e23276–e23276. 7 indexed citations
11.
12.
Hassan, Ali, et al.. (2024). Optimizing the Deployment of Multi-UAVs in Emergency Response Networks. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1–6. 1 indexed citations
13.
Hassan, Ali, et al.. (2024). Epidemiology and Survival Outcomes of Acute Promyelocytic Leukemia in Adults: A SEER Database Analysis. Blood. 144(Supplement 1). 5943–5943.
14.
15.
Akram, Muhammad Usman, et al.. (2022). Intelligent framework for automated failure prediction, detection, and classification of mission critical autonomous flights. ISA Transactions. 129(Pt A). 355–371. 26 indexed citations
16.
Riaz, Farhan, Ali Hassan, Muhammad Abbas, et al.. (2021). A Framework for Classification of Gabor Based Frequency Selective Bone Radiographs Using CNN. Arabian Journal for Science and Engineering. 46(4). 4141–4152. 2 indexed citations
17.
Jochumsen, Mads, Muhammad Samran Navid, Rasmus Bach Nedergaard, et al.. (2019). Self-Paced Online vs. Cue-Based Offline Brain–Computer Interfaces for Inducing Neural Plasticity. Brain Sciences. 9(6). 127–127. 18 indexed citations
18.
Jochumsen, Mads, et al.. (2018). Movement intention detection in adolescents with cerebral palsy from single-trial EEG. Journal of Neural Engineering. 15(6). 66030–66030. 19 indexed citations
19.
Mkopi, Abdallah, Ali Hassan, Ali M. Ali, et al.. (2016). The status of maternal and newborn health care services in Zanzibar. BMC Pregnancy and Childbirth. 16(1). 134–134. 21 indexed citations
20.
Hassan, Ali, Farhan Riaz, & A. Basit. (2015). A robust classification model with voting based feature selection for diagnosis of epilepsy. 7. 176–179. 1 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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