Tariq Sadad

1.4k citations

32 papers · 929 indexed · 1 hit paper · h-index 15

Artificial Intelligence top 2%
Computer Networks and Communications top 5%
Computer Vision and Pattern Recognition top 5%
Signal Processing top 5%
Radiology, Nuclear Medicine and Imaging top 10%

Co-authors: Tanzila Saba Amjad Rehman Saeed Ali Bahaj Asim Munir Hoshang Kolivand Ayyaz Hussain Usman Tariq Rashid Abbasi
Topics: AI in cancer detection (10 papers)Brain Tumor Detection and Classification (8 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
Cited by: Neurology Signal Processing Computer Networks and Communications
Journals: PLoS ONE IEEE Access Sensors
Partner nations: Pakistan Saudi Arabia China

In The Last Decade

Tariq Sadad

30 papers receiving 872 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.

Anomaly-based intrusion detection system for IoT networks through deep learning model

2022 259 citations Tanzila Saba, Amjad Rehman et al. Computers & Electrical Engineering profile →

Peers

Countries citing papers authored by Tariq Sadad

Since Specialization

Citations

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

Fields of papers citing papers by Tariq Sadad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tariq Sadad

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Mango Disease Detection Using Fused Vision Transformer with ConvNeXt Architecture 2025 ·Computers, materials & continua/Computers, materials & continua (Print) ·Faten S. Alamri,Tariq Sadad,(unknown),(unknown),(unknown)	2
2	Evaluation of a Smart Audio System Based on the ViP Principle and the Analytic Hierarchy Process Human–Computer Interaction Design 2024 ·Applied Sciences ·J. C. Huang,W. Li,Tariq Sadad	0
3	Domain adaptive learning for multi realm sentiment classification on big data 2024 ·PLoS ONE ·(unknown),(unknown),Mejdl Safran,Sultan Alfarhood,Tariq Sadad,Imran Imran	0
4	Efficient Classification of ECG Images Using a Lightweight CNN with Attention Module and IoT 2023 ·Sensors ·Tariq Sadad,Mejdl Safran,Inayat Khan,Sultan Alfarhood,Razaullah Khan,Imran Ashraf	15
5	Intrusion Detection in the Internet of Things Using Fusion of GRU-LSTM Deep Learning Model 2023 ·Intelligent Automation & Soft Computing ·Mohammed S. Al-kahtani,Zahid Mehmood,Tariq Sadad,(unknown),Gauhar Ali,Mohammed ElAffendi	21
6	Stress Monitoring Using Machine Learning, IoT and Wearable Sensors 2023 ·Sensors ·(unknown),(unknown),(unknown),Tariq Sadad,Tareq Manzoor,(unknown),Zeashan Hameed Khan	27
7	Classification of Highly Divergent Viruses from DNA/RNA Sequence Using Transformer-Based Models 2023 ·Biomedicines ·Tariq Sadad,(unknown),Mejdl Safran,Imran Imran,Sultan Alfarhood,Jungsuk Kim	10
8	Early pigment spot segmentation and classification from iris cellular image analysis with explainable deep learning and multiclass support vector machine 2023 ·Biochemistry and Cell Biology ·(unknown),(unknown),Tariq Sadad,Saeed Ali Bahaj,Gabriel Avelino Sampedro,Mideth Abisado	2
9	Classification of hyperspectral images using fusion of CNN and MiniGCN with SVM 2023 ·International Journal of Digital Earth ·(unknown),Tariq Sadad,Mejdl Safran,Sultan Alfarhood,(unknown)	4
10	NPR-LBN: next point of interest recommendation using large bipartite networks with edge and cloud computing 2023 ·Journal of Cloud Computing Advances Systems and Applications ·Inayat Khan,(unknown),Gauhar Ali,Mohammed ElAffendi,(unknown),Tariq Sadad	5
11	An Intelligent Multi-Floor Navigational System Based on Speech, Facial Recognition and Voice Broadcasting Using Internet of Things 2022 ·Sensors ·(unknown),Xingmei Li,Muhammad Abul Hassan,(unknown),Yar Muhammad,Fabrizio Granelli,(unknown),Tariq Sadad	3
12	Detection of Cardiovascular Disease Based on PPG Signals Using Machine Learning with Cloud Computing 2022 ·Computational Intelligence and Neuroscience ·Tariq Sadad,Syed Ahmad Chan Bukhari,Asim Munir,Anwar Ghani,Ahmed M. El‐Sherbeeny,Hafiz Tayyab Rauf	38
13	Automatic skin lesions detection from images through microscopic hybrid features set and machine learning classifiers 2022 ·Microscopy Research and Technique ·Jaber Alyami,Amjad Rehman,Tariq Sadad,(unknown),Tanzila Saba,Saeed Ali Bahaj	10
14	Cloud Computing-Based Framework for Breast Tumor Image Classification Using Fusion of AlexNet and GLCM Texture Features with Ensemble Multi-Kernel Support Vector Machine (MK-SVM) 2022 ·Computational Intelligence and Neuroscience ·Jaber Alyami,Tariq Sadad,Amjad Rehman,(unknown),Tanzila Saba,Saeed Ali Bahaj,(unknown)	13
15	Anomaly-based intrusion detection system for IoT networks through deep learning modelbreakdown → 2022 ·Computers & Electrical Engineering ·Tanzila Saba,Amjad Rehman,Tariq Sadad,Hoshang Kolivand,Saeed Ali Bahaj	259
16	An Efficient and Secure Session Key Management Scheme in Wireless Sensor Network 2021 ·Complexity ·Gulzar Mehmood,Muhammad Sohail Khan,Abdul Waheed,Mahdi Zareei,Muhammad Fayaz,Tariq Sadad,Nazri Kama,Azri Azmi	22
17	iELMNet: An Application for Traffic Sign Recognition using CNN and ELM 2021 ·Aisha Batool,Muhammad Wasif Nisar,Jamal Hussain Shah,Amjad Rehman,Tariq Sadad	5
18	Optimizing the transfer‐learning with pretrained deep convolutional neural networks for first stage breast tumor diagnosis using breast ultrasound visual images 2021 ·Microscopy Research and Technique ·(unknown),Ibrahim Abunadi,Tariq Sadad,Amjad Rehman,Saeed Ali Bahaj	18
19	Dermoscopy Cancer Detection and Classification using Geometric Feature based on Resource Constraints Device (Jetson Nano) 2020 ·Amjad Rehman,Hikmat Yar,Noor Ayesha,Tariq Sadad	2
20	Identification of Breast Malignancy by Marker-Controlled Watershed Transformation and Hybrid Feature Set for Healthcare 2020 ·Applied Sciences ·Tariq Sadad,Ayyaz Hussain,Asim Munir,Muhammad Asif Habib,Sajid Ali Khan,Shariq Hussain,Shunkun Yang,(unknown)	45

About Tariq Sadad

Tariq Sadad is a scholar working on Neurology, Artificial Intelligence and Media Technology, having authored 32 papers that have together received 929 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Brain Tumor Detection and Classification (8 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Neurology (181 citations), Signal Processing (195 citations) and Computer Networks and Communications (369 citations). Tariq Sadad has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Tanzila Saba, Amjad Rehman, Saeed Ali Bahaj, Asim Munir, Hoshang Kolivand, Ayyaz Hussain, Usman Tariq, Rashid Abbasi, Noor Ayesha and Zahid Mehmood. Their work appears in journals such as PLoS ONE, IEEE Access and Sensors.

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.

Explore authors with similar magnitude of impact