Saima Sadiq

2.0k total citations · 1 hit paper
42 papers, 1.3k citations indexed

About

Saima Sadiq is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Saima Sadiq has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in Saima Sadiq's work include Sentiment Analysis and Opinion Mining (7 papers), Spam and Phishing Detection (6 papers) and COVID-19 diagnosis using AI (6 papers). Saima Sadiq is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), Spam and Phishing Detection (6 papers) and COVID-19 diagnosis using AI (6 papers). Saima Sadiq collaborates with scholars based in Pakistan, South Korea and Italy. Saima Sadiq's co-authors include Muhammad Umer, Saleem Ullah, Michele Nappi, Seyedali Mirjalili, Vaibhav Rupapara, Abid Ishaq, Imran Ashraf, Ala’ Abdulmajid Eshmawi, Arif Mehmood and Gyu Sang Choi and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Saima Sadiq

39 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Improving the Prediction of Heart Failure Patients’ Survival Using SMOTE and Effective Data Mining Techniques

2021 245 citations Abid Ishaq, Saima Sadiq et al. IEEE Access profile →

Peers

Countries citing papers authored by Saima Sadiq

Since Specialization

Citations

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

Fields of papers citing papers by Saima Sadiq

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saima Sadiq

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Malicious SMS detection using ensemble learning and SMOTE to improve mobile cybersecurity 2025 ·Computers & Security ·Hongsheng Xu, Akeel Qadir, Saima Sadiq	0
2	Face mask detection using deep convolutional neural network and multi-stage image processing 2023 ·Image and Vision Computing ·Muhammad Umer, Saima Sadiq, (unknown), Shtwai Alsubai, Abdullah Al Hejaili, Ala’ Abdulmajid Eshmawi, Michele Nappi, Imran Ashraf	17
3	Improving the review classification of Google apps using combined feature embedding and deep convolutional neural network model 2023 ·Journal of Ambient Intelligence and Humanized Computing ·Naila Aslam, (unknown), Kewen Xia, Saima Sadiq, Muhammad Umer, Carmen Bisogni, Imran Ashraf	1
4	Analysing behavioural and academic attributes of students using educational data mining 2023 ·International Journal of Nanotechnology ·Muhammad Umer, Saima Sadiq, Arif Mehmood, Imran Ashraf, Gyu Sang Choi, Sadia Din	2
5	IoT based smart home automation using blockchain and deep learning models 2023 ·PeerJ Computer Science ·Muhammad Umer, Saima Sadiq, (unknown), (unknown), Shtwai Alsubai, Abdullah Al Hejaili, Mashael Khayyat, Ala’ Abdulmajid Eshmawi, Abdullah Mohamed	13
6	Deep Learning-Based Intrusion Detection Methods in Cyber-Physical Systems: Challenges and Future Trends 2022 ·Electronics ·Muhammad Umer, Saima Sadiq, Hanen Karamti, (unknown), Khaled Alnowaiser, Ala’ Abdulmajid Eshmawi, Houbing Song, Imran Ashraf	19
7	ETCNN: Extra Tree and Convolutional Neural Network-based Ensemble Model for COVID-19 Tweets Sentiment Classification 2022 ·Pattern Recognition Letters ·Muhammad Umer, Saima Sadiq, Hanen Karamti, Ala’ Abdulmajid Eshmawi, Michele Nappi, (unknown), Imran Ashraf	40
8	Industry 4.0 technologies and their applications in fighting COVID-19 pandemic using deep learning techniques 2022 ·Computers in Biology and Medicine ·Muhammad Ahmad, Saima Sadiq, Ala’ Abdulmajid Eshmawi, Ala Saleh Alluhaidan, Muhammad Umer, Saleem Ullah, Michele Nappi	25
9	IoT Based Smart Monitoring of Patients’ with Acute Heart Failure 2022 ·Sensors ·Muhammad Umer, Saima Sadiq, Hanen Karamti, (unknown), (unknown), Michele Nappi	42
10	RFCNN: Traffic Accident Severity Prediction Based on Decision Level Fusion of Machine and Deep Learning Model 2021 ·IEEE Access ·(unknown), Muhammad Umer, Saima Sadiq, Abid Ishaq, Saleem Ullah, Hamza Ahmad Madni, Carmen Bisogni	64
11	Classification ofβ-Thalassemia Carriers From Red Blood Cell Indices Using Ensemble Classifier 2021 ·IEEE Access ·Saima Sadiq, (unknown), (unknown), Saleem Ullah, Waqar Aslam, Arif Mehmood, Gyu Sang Choi, Byung-Won On	21
12	COVID-19: Automatic Detection of the Novel Coronavirus Disease From CT Images Using an Optimized Convolutional Neural Network 2021 ·IEEE Transactions on Industrial Informatics ·Aniello Castiglione, Pandi Vijayakumar, Michele Nappi, Saima Sadiq, Muhammad Umer	76
13	The Role of Internet of Things to Control the Outbreak of COVID-19 Pandemic 2021 ·IEEE Internet of Things Journal ·Aniello Castiglione, Muhammad Umer, Saima Sadiq, Mohammad S. Obaidat, Pandi Vijayakumar	35
14	Discrepancy detection between actual user reviews and numeric ratings of Google App store using deep learning 2021 ·Expert Systems with Applications ·Saima Sadiq, Muhammad Umer, Saleem Ullah, Seyedali Mirjalili, Vaibhav Rupapara, Michele Nappi	65
15	A Novel Stacked CNN for Malarial Parasite Detection in Thin Blood Smear Images 2020 ·IEEE Access ·Muhammad Umer, Saima Sadiq, Muhammad Ahmad, Saleem Ullah, Gyu Sang Choi, Arif Mehmood	75
16	Biopsy-proven acute graft pyelonephritis: A retrospective study from sindh institute of urology and transplantation 2020 ·Saudi Journal of Kidney Diseases and Transplantation ·(unknown), Saima Sadiq, (unknown), (unknown), (unknown)	2
17	Diabetes Risk Assessment Among the City Population in Azad Kashmir: A Cross-sectional Study 2019 ·Cureus ·Arslaan Javaeed, (unknown), Saima Sadiq, Sanniya Khan Ghauri, (unknown)	3
18	Pattern of biopsy-proven kidney diseases: experience of a teaching hospital in Bahawalpur, Pakistan 2019 ·Saudi Journal of Kidney Diseases and Transplantation ·(unknown), (unknown), (unknown), Saima Sadiq, (unknown), (unknown)	4
19	COMPARATIVE EVALUATION OF TRANSVAGINAL SALINE SONOSALPINGOGRAPHY AND LAPROSCOPY FOR TUBAL PATENCY IN INFERTILITY. 2018 ·International Journal of Advanced Research ·Saima Sadiq	0
20	Maternal history and second trimester uterine artery Doppler in the assessment of risk for development of early and late onset pre-eclampsia and intra uterine growth restriction 2016 ·International Journal of Reproduction Contraception Obstetrics and Gynecology ·(unknown), (unknown), Saima Sadiq, Naveed Shahzad	3

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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