Abid Ishaq

1.1k total citations · 1 hit paper
24 papers, 689 citations indexed

About

Abid Ishaq is a scholar working on Artificial Intelligence, Health Information Management and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Abid Ishaq has authored 24 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Health Information Management and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Abid Ishaq's work include Artificial Intelligence in Healthcare (8 papers), AI in cancer detection (5 papers) and Imbalanced Data Classification Techniques (5 papers). Abid Ishaq is often cited by papers focused on Artificial Intelligence in Healthcare (8 papers), AI in cancer detection (5 papers) and Imbalanced Data Classification Techniques (5 papers). Abid Ishaq collaborates with scholars based in Pakistan, South Korea and Saudi Arabia. Abid Ishaq's co-authors include Muhammad Umer, Imran Ashraf, Saima Sadiq, Saleem Ullah, Vaibhav Rupapara, Michele Nappi, Seyedali Mirjalili, Furqan Rustam, Shtwai Alsubai and Hamza Ahmad Madni and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Abid Ishaq

23 papers receiving 655 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 Abid Ishaq

Since Specialization

Citations

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

Fields of papers citing papers by Abid Ishaq

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abid Ishaq

This figure shows the co-authorship network connecting the top 25 collaborators of Abid Ishaq. A scholar is included among the top collaborators of Abid Ishaq 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 Abid Ishaq. Abid Ishaq 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	Advancing ovarian cancer outcomes with CTGAN-enhanced hybrid machine learning approach 2025 ·Knowledge-Based Systems ·(unknown), Ahmad Sami Al‐Shamayleh, (unknown), Abid Ishaq, Furqan Rustam, Gyu Sang Choi	2
2	AuraVox: mmWave-Augmented Audio Pipeline for Nonintrusive Emotion Sensing in Complex IoT Environments 2025 ·IEEE Internet of Things Journal ·(unknown), Jian Zhang, (unknown), (unknown), Abid Ishaq, Khursheed Aurangzeb	0
3	Deep learning-based pneumonia classifier on chest X-ray images 2024 ·AIP conference proceedings ·Ramkumar Subramanian, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Abid Ishaq, Sanjeevikumar Padmanaban	3
4	Contradiction in text review and apps rating: prediction using textual features and transfer learning 2024 ·PeerJ Computer Science ·Turki Aljrees, Muhammad Umer, Oumaima Saidani, Latifah Almuqren, Abid Ishaq, Shtwai Alsubai, Ala’ Abdulmajid Eshmawi, Imran Ashraf	4
5	Railway Track Fault Detection Using Selective MFCC Features from Acoustic Data 2023 ·Sensors ·Furqan Rustam, Abid Ishaq, (unknown), Hafeez Ur Rehman Siddiqui, Luís Alonso Dzul López, (unknown), Imran Ashraf	11
6	Water-Quality Prediction Based on H2O AutoML and Explainable AI Techniques 2023 ·Water ·Hamza Ahmad Madni, Muhammad Umer, Abid Ishaq, (unknown), Oumaima Saidani, Shtwai Alsubai, Monia Hamdi, Imran Ashraf	31
7	Heart failure patients monitoring using IoT-based remote monitoring system 2023 ·Scientific Reports ·Muhammad Umer, Turki Aljrees, Hanen Karamti, Abid Ishaq, Shtwai Alsubai, Marwan Omar, Ali Kashif Bashir, Imran Ashraf	30
8	Chi-Square and PCA Based Feature Selection for Diabetes Detection with Ensemble Classifier 2023 ·Intelligent Automation & Soft Computing ·Vaibhav Rupapara, Furqan Rustam, Abid Ishaq, Ernesto Lee, Imran Ashraf	17
9	Breast cancer detection employing stacked ensemble model with convolutional features 2023 ·Cancer Biomarkers ·Hanen Karamti, Raed Alharthi, Muhammad Umer, Hadil Shaiba, Abid Ishaq, (unknown), Shtwai Alsubai, Imran Ashraf	4
10	Role of convolutional features and machine learning for predicting student academic performance from MOODLE data 2023 ·PLoS ONE ·(unknown), Muhammad Umer, Abid Ishaq, Abdullah Al Hejaili, Shtwai Alsubai, Ala’ Abdulmajid Eshmawi, Abdullah Mohamed, Imran Ashraf	10
11	Cervical cancer detection using K nearest neighbor imputer and stacked ensemble learningmodel 2023 ·Digital Health ·Xiaoyuan Chen, Turki Aljrees, Muhammad Umer, Oumaima Saidani, Latifah Almuqren, (unknown), Abid Ishaq, Imran Ashraf	14
12	Image Watermarking Using Least Significant Bit and Canny Edge Detection 2023 ·Sensors ·(unknown), Abid Ishaq, Furqan Rustam, Isabel de la Torre Díez, (unknown), Manuel Masias Vergara, Imran Ashraf	18
13	An Intelligent Framework for Cyber–Physical Satellite System and IoT-Aided Aerial Vehicle Security Threat Detection 2023 ·Sensors ·Nazik Alturki, Turki Aljrees, Muhammad Umer, Abid Ishaq, Shtwai Alsubai, Oumaima Saidani, (unknown), Imran Ashraf	21
14	An Artificial Neural Network Model for Water Quality and Water Consumption Prediction 2022 ·Water ·Furqan Rustam, Abid Ishaq, (unknown), Isabel de la Torre Díez, Juan Luís Vidal Mazón, Carmen Lili Rodríguez, Imran Ashraf	36
15	Breast Cancer Detection Using Convoluted Features and Ensemble Machine Learning Algorithm 2022 ·Cancers ·Muhammad Umer, (unknown), Fadwa Alrowais, Abid Ishaq, Abdullah Al Hejaili, Shtwai Alsubai, Ala’ Abdulmajid Eshmawi, Abdullah Mohamed, Imran Ashraf	28
16	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
17	Predicting Pulsars from Imbalanced Dataset with Hybrid Resampling Approach 2021 ·Advances in Astronomy ·Ernesto Lee, Furqan Rustam, Wajdi Aljedaani, Abid Ishaq, Vaibhav Rupapara, Imran Ashraf	9
18	Vector mosquito image classification using novel RIFS feature selection and machine learning models for disease epidemiology 2021 ·Saudi Journal of Biological Sciences ·Furqan Rustam, Aijaz Ahmad Reshi, Wajdi Aljedaani, (unknown), Abid Ishaq, (unknown), Ernesto Lee, Ziyad Alrabiah, (unknown), Ajaz Ahmad, Vaibhav Rupapara	27
19	Improving the Prediction of Heart Failure Patients’ Survival Using SMOTE and Effective Data Mining Techniques breakdown → 2021 ·IEEE Access ·Abid Ishaq, Saima Sadiq, Muhammad Umer, Saleem Ullah, Seyedali Mirjalili, Vaibhav Rupapara, Michele Nappi	245
20	Extensive hotel reviews classification using long short term memory 2020 ·Journal of Ambient Intelligence and Humanized Computing ·Abid Ishaq, Muhammad Umer, Muhammad Faheem Mushtaq, Carlo Maria Medaglia, Hafeez Ur Rehman Siddiqui, Arif Mehmood, Gyu Sang Choi	22

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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