Samina Amin

612 total citations
17 papers, 296 citations indexed

About

Samina Amin is a scholar working on Artificial Intelligence, Epidemiology and Health Information Management. According to data from OpenAlex, Samina Amin has authored 17 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Epidemiology and 4 papers in Health Information Management. Recurrent topics in Samina Amin's work include Data-Driven Disease Surveillance (6 papers), Artificial Intelligence in Healthcare (4 papers) and Misinformation and Its Impacts (4 papers). Samina Amin is often cited by papers focused on Data-Driven Disease Surveillance (6 papers), Artificial Intelligence in Healthcare (4 papers) and Misinformation and Its Impacts (4 papers). Samina Amin collaborates with scholars based in Pakistan and Saudi Arabia. Samina Amin's co-authors include M. Irfan Uddin, Ala Abdulsalam Alarood, Adel Sulaiman, Mana Saleh Al Reshan, Asadullah Shaikh, Hani Alshahrani, Atif Khan, Ahmed Alzahrani, Wali Khan Mashwani and Abdulrahman Alzahrani and has published in prestigious journals such as Scientific Reports, IEEE Access and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

Samina Amin

17 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samina Amin Pakistan	10	163	59	53	53	47	17	296
Imrana Abdullahi Yari Germany	4	250 1.5×	71 1.2×	21 0.4×	15 0.3×	35 0.7×	7	331
Linta Islam Bangladesh	8	212 1.3×	131 2.2×	34 0.6×	12 0.2×	12 0.3×	32	294
Alexander Ziller Germany	5	297 1.8×	35 0.6×	10 0.2×	14 0.3×	106 2.3×	8	420
Jesse C. Cresswell Canada	4	205 1.3×	27 0.5×	8 0.2×	11 0.2×	62 1.3×	8	276
C. Beulah Christalin Latha India	4	266 1.6×	88 1.5×	337 6.4×	52 1.0×	61 1.3×	7	487
Dmitrii Usynin Germany	6	310 1.9×	40 0.7×	9 0.2×	14 0.3×	90 1.9×	9	412
Andrew Trask United Kingdom	5	262 1.6×	31 0.5×	9 0.2×	11 0.2×	70 1.5×	6	354
El-Sayed Atlam Saudi Arabia	9	153 0.9×	38 0.6×	41 0.8×	3 0.1×	32 0.7×	24	288
Mrinal Kanti Baowaly Bangladesh	8	164 1.0×	42 0.7×	32 0.6×	7 0.1×	29 0.6×	15	273
Hanan S. Alghamdi Saudi Arabia	10	113 0.7×	29 0.5×	20 0.4×	13 0.2×	134 2.9×	24	287

Countries citing papers authored by Samina Amin

Since Specialization

Citations

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

Fields of papers citing papers by Samina Amin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samina Amin

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

All Works

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17 of 17 papers shown

Reshan, Mana Saleh Al, et al.. (2025). Advanced breast cancer prediction using Deep Neural Networks integrated with ensemble models. Chemometrics and Intelligent Laboratory Systems. 262. 105399–105399. 1 indexed citations

Shaikh, Asadullah, et al.. (2025). Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning. Computers in Biology and Medicine. 186. 109703–109703. 7 indexed citations

Amin, Samina, et al.. (2024). An adaptable and personalized framework for top-N course recommendations in online learning. Scientific Reports. 14(1). 10382–10382. 9 indexed citations

Amin, Samina, et al.. (2024). Social Media-Based Surveillance Systems for Health Informatics Using Machine and Deep Learning Techniques: A Comprehensive Review and Open Challenges. Computer Modeling in Engineering & Sciences. 139(2). 1167–1202. 3 indexed citations

Reshan, Mana Saleh Al, Samina Amin, Adel Sulaiman, et al.. (2024). An Innovative Ensemble Deep Learning Clinical Decision Support System for Diabetes Prediction. IEEE Access. 12. 106193–106210. 10 indexed citations

Amin, Samina, M. Irfan Uddin, Ala Abdulsalam Alarood, et al.. (2023). Smart E-Learning Framework for Personalized Adaptive Learning and Sequential Path Recommendations Using Reinforcement Learning. IEEE Access. 11. 89769–89790. 36 indexed citations

Amin, Samina, M. Irfan Uddin, Wali Khan Mashwani, et al.. (2023). Developing a Personalized E-Learning and MOOC Recommender System in IoT-Enabled Smart Education. IEEE Access. 11. 136437–136455. 17 indexed citations

Reshan, Mana Saleh Al, Samina Amin, Adel Sulaiman, et al.. (2023). Enhancing Breast Cancer Detection and Classification Using Advanced Multi-Model Features and Ensemble Machine Learning Techniques. Life. 13(10). 2093–2093. 27 indexed citations

Reshan, Mana Saleh Al, et al.. (2023). A Robust Heart Disease Prediction System Using Hybrid Deep Neural Networks. IEEE Access. 11. 121574–121591. 38 indexed citations

10.

Amin, Samina, Abdullah Alharbi, M. Irfan Uddin, & Hashem Alyami. (2022). Adapting recurrent neural networks for classifying public discourse on COVID-19 symptoms in Twitter content. Soft Computing. 26(20). 11077–11089. 8 indexed citations

11.

Adnan, Muhammad, et al.. (2022). Earliest Possible Global and Local Interpretation of Students’ Performance in Virtual Learning Environment by Leveraging Explainable AI. IEEE Access. 10. 129843–129864. 17 indexed citations

12.

Amin, Samina, Bader Alouffi, M. Irfan Uddin, & Wael Alosaimi. (2022). Optimizing Convolutional Neural Networks with Transfer Learning for Making Classification Report in COVID-19 Chest X-Rays Scans. Scientific Programming. 2022. 1–13. 9 indexed citations

13.

Amin, Samina, et al.. (2021). Machine Learning Approach for COVID-19 Detection on Twitter. Computers, materials & continua/Computers, materials & continua (Print). 68(2). 2231–2247. 25 indexed citations

14.

Amin, Samina, M. Irfan Uddin, Duaa AlSaeed, Atif Khan, & Muhammad Adnan. (2021). Early Detection of Seasonal Outbreaks from Twitter Data Using Machine Learning Approaches. Complexity. 2021(1). 21 indexed citations

15.

Amin, Samina, et al.. (2021). Detecting Information on the Spread of Dengue on Twitter Using Artificial Neural Networks. Computers, materials & continua/Computers, materials & continua (Print). 67(1). 1317–1332. 9 indexed citations

16.

Amin, Samina, M. Irfan Uddin, Saima Hassan, et al.. (2020). Recurrent Neural Networks With TF-IDF Embedding Technique for Detection and Classification in Tweets of Dengue Disease. IEEE Access. 8. 131522–131533. 38 indexed citations

17.

Amin, Samina, et al.. (2020). Detecting Dengue/Flu Infections Based on Tweets Using LSTM and Word Embedding. IEEE Access. 8. 189054–189068. 21 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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