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

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

#	Title	Journal	Authors	Indexed citations
1	Advanced breast cancer prediction using Deep Neural Networks integrated with ensemble models	Chemometrics and Intelligent Laboratory Systems	Mana Saleh Al Reshan, Samina Amin et al.	1
2	Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning	Computers in Biology and Medicine	Asadullah Shaikh, Samina Amin et al.	7
3	An adaptable and personalized framework for top-N course recommendations in online learning	Scientific Reports	Samina Amin, M. Irfan Uddin et al.	9
4	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	Samina Amin, Hani Alshahrani et al.	3
5	An Innovative Ensemble Deep Learning Clinical Decision Support System for Diabetes Prediction	IEEE Access	Mana Saleh Al Reshan, Samina Amin et al.	10
6	Smart E-Learning Framework for Personalized Adaptive Learning and Sequential Path Recommendations Using Reinforcement Learning	IEEE Access	Samina Amin, M. Irfan Uddin et al.	36
7	Developing a Personalized E-Learning and MOOC Recommender System in IoT-Enabled Smart Education	IEEE Access	Samina Amin, M. Irfan Uddin et al.	17
8	Enhancing Breast Cancer Detection and Classification Using Advanced Multi-Model Features and Ensemble Machine Learning Techniques	Life	Mana Saleh Al Reshan, Samina Amin et al.	27
9	A Robust Heart Disease Prediction System Using Hybrid Deep Neural Networks	IEEE Access	Mana Saleh Al Reshan, Samina Amin et al.	38
10	Adapting recurrent neural networks for classifying public discourse on COVID-19 symptoms in Twitter content	Soft Computing	Samina Amin, Abdullah Alharbi et al.	8
11	Earliest Possible Global and Local Interpretation of Students’ Performance in Virtual Learning Environment by Leveraging Explainable AI	IEEE Access	Muhammad Adnan, M. Irfan Uddin et al.	17
12	Optimizing Convolutional Neural Networks with Transfer Learning for Making Classification Report in COVID-19 Chest X-Rays Scans	Scientific Programming	Samina Amin, Bader Alouffi et al.	9
13	Machine Learning Approach for COVID-19 Detection on Twitter	Computers, materials & continua/Computers, materials & continua (Print)	Samina Amin, M. Irfan Uddin et al.	25
14	Early Detection of Seasonal Outbreaks from Twitter Data Using Machine Learning Approaches	Complexity	Samina Amin, M. Irfan Uddin et al.	21
15	Detecting Information on the Spread of Dengue on Twitter Using Artificial Neural Networks	Computers, materials & continua/Computers, materials & continua (Print)	Samina Amin, M. Irfan Uddin et al.	9
16	Recurrent Neural Networks With TF-IDF Embedding Technique for Detection and Classification in Tweets of Dengue Disease	IEEE Access	Samina Amin, M. Irfan Uddin et al.	38
17	Detecting Dengue/Flu Infections Based on Tweets Using LSTM and Word Embedding	IEEE Access	Samina Amin, M. Irfan Uddin et al.	21

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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