Ali Hussein Hasan

527 total citations · 1 hit paper
8 papers, 346 citations indexed

About

Ali Hussein Hasan is a scholar working on Information Systems, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ali Hussein Hasan has authored 8 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 2 papers in Artificial Intelligence and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ali Hussein Hasan's work include Malaria Research and Control (2 papers), Software Reliability and Analysis Research (1 paper) and Bayesian Modeling and Causal Inference (1 paper). Ali Hussein Hasan is often cited by papers focused on Malaria Research and Control (2 papers), Software Reliability and Analysis Research (1 paper) and Bayesian Modeling and Causal Inference (1 paper). Ali Hussein Hasan collaborates with scholars based in Iraq, Pakistan and Thailand. Ali Hussein Hasan's co-authors include Ahmad Karim, Shahaboddin Shamshirband, Sana Moin, Jaranit Kaewkungwal, Peter Haddawy, Pratap Singhasivanon and Saranath Lawpoolsri and has published in prestigious journals such as Artificial Intelligence in Medicine, Mathematical and Computational Applications and Studies in health technology and informatics.

In The Last Decade

Ali Hussein Hasan

6 papers receiving 321 citations

Hit Papers

Machine Learning-Based Sentiment Analysis for Twitter Acc... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Hussein Hasan Iraq 4 245 104 80 26 17 8 346
Ayoub Bagheri Netherlands 13 334 1.4× 132 1.3× 58 0.7× 22 0.8× 17 1.0× 36 539
Emilio Sulis Italy 10 152 0.6× 62 0.6× 43 0.5× 22 0.8× 17 1.0× 40 327
Georgios Kontonatsios United Kingdom 11 224 0.9× 50 0.5× 25 0.3× 12 0.5× 10 0.6× 23 422
Marco A. Palomino United Kingdom 10 109 0.4× 38 0.4× 83 1.0× 17 0.7× 66 3.9× 36 342
Shruti Kohli India 7 229 0.9× 123 1.2× 66 0.8× 37 1.4× 10 0.6× 39 337
Sanhong Deng China 10 71 0.3× 54 0.5× 51 0.6× 16 0.6× 8 0.5× 43 249
Maria De‐Arteaga United States 11 144 0.6× 28 0.3× 36 0.5× 17 0.7× 17 1.0× 23 306
Aparup Khatua India 10 217 0.9× 65 0.6× 130 1.6× 11 0.4× 20 1.2× 23 361
Pooja Kherwa India 5 139 0.6× 46 0.4× 40 0.5× 13 0.5× 11 0.6× 10 269
Ida Mele Italy 10 132 0.5× 85 0.8× 48 0.6× 16 0.6× 11 0.6× 30 252

Countries citing papers authored by Ali Hussein Hasan

Since Specialization
Citations

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

Fields of papers citing papers by Ali Hussein Hasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Hussein Hasan

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

All Works

8 of 8 papers shown
1.
Hasan, Ali Hussein, et al.. (2025). Software Defect Prediction Based On Deep Learning Algorithms : A Systematic Literature Review. Maǧallaẗ al-rāfidayn li-ʿulūm al-ḥāsibāt wa-al-riyāḍiyyāẗ/˜Al-œRafidain journal for computer sciences and mathematics. 19(1). 67–79.
2.
Hasan, Ali Hussein, et al.. (2021). Driver Drowsiness Detection Based On the DenseNet 201 Model. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12(13). 3682–3692. 3 indexed citations
3.
Hasan, Ali Hussein, et al.. (2020). ANTITHEFT VEHICLE TRACKING AND CONTROL SYSTEM BASED IOT. 7(9). 88–92.
4.
Hasan, Ali Hussein, et al.. (2019). Prediction of Personality Profiles in the Pakistan Software Industry–A Study. Psych. 1(1). 320–330. 3 indexed citations
5.
Hasan, Ali Hussein, Sana Moin, Ahmad Karim, & Shahaboddin Shamshirband. (2018). Machine Learning-Based Sentiment Analysis for Twitter Accounts. Mathematical and Computational Applications. 23(1). 11–11. 296 indexed citations breakdown →
6.
Haddawy, Peter, et al.. (2017). Spatiotemporal Bayesian networks for malaria prediction. Artificial Intelligence in Medicine. 84. 127–138. 41 indexed citations
7.
Hasan, Ali Hussein, et al.. (2016). Online Elman Neural Network Training by Genetic Algorithm. British Journal of Mathematics & Computer Science. 19(1). 1–15. 1 indexed citations
8.
Haddawy, Peter, et al.. (2016). Spatiotemporal Bayesian Networks for Malaria Prediction: Case Study of Northern Thailand. Studies in health technology and informatics. 228. 773–7. 2 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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