Muhammad Shoaib

4.0k total citations · 8 hit papers
67 papers, 2.7k citations indexed

About

Muhammad Shoaib is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Muhammad Shoaib has authored 67 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Muhammad Shoaib's work include Context-Aware Activity Recognition Systems (11 papers), Video Surveillance and Tracking Methods (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Muhammad Shoaib is often cited by papers focused on Context-Aware Activity Recognition Systems (11 papers), Video Surveillance and Tracking Methods (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Muhammad Shoaib collaborates with scholars based in Pakistan, Malaysia and South Korea. Muhammad Shoaib's co-authors include Paul Havinga, Hans Scholten, Özlem Durmaz İncel, Stephan Bosch, Joon Huang Chuah, Ali Raza, Norrima Mokhtar, Mohamad Sofian Abu Talip, Farman Ali and Babar Shah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers in Human Behavior.

In The Last Decade

Muhammad Shoaib

62 papers receiving 2.6k citations

Hit Papers

5 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.

Fusion of Smartphone Motion Sensors for Physical Activity Recognition

2014 393 citations Muhammad Shoaib et al. profile →
A Survey of Online Activity Recognition Using Mobile Phones

2015 374 citations Muhammad Shoaib et al. profile →
Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors

2016 310 citations Muhammad Shoaib et al. profile →
Structural crack detection using deep convolutional neural networks

2021 246 citations Ali Raza, Joon Huang Chuah et al. profile →
An advanced deep learning models-based plant disease detection: A review of recent research

2023 191 citations Muhammad Shoaib, Babar Shah et al. Frontiers in Plant Science profile →
Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease

2022 143 citations Muhammad Shoaib, Tariq Hussain et al. Frontiers in Plant Science profile →
AI student success predictor: Enhancing personalized learning in campus management systems

2024 49 citations Muhammad Shoaib, Jaiteg Singh et al. Computers in Human Behavior profile →
Leveraging deep learning for plant disease and pest detection: a comprehensive review and future directions

2025 15 citations Muhammad Shoaib, Abolghasem Sadeghi‐Niaraki et al. Frontiers in Plant Science profile →

Peers

Countries citing papers authored by Muhammad Shoaib

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Shoaib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Shoaib

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Shoaib. A scholar is included among the top collaborators of Muhammad Shoaib 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 Muhammad Shoaib. Muhammad Shoaib 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	Leveraging deep learning for plant disease and pest detection: a comprehensive review and future directions breakdown → 2025 ·Frontiers in Plant Science ·Muhammad Shoaib, Abolghasem Sadeghi‐Niaraki, Farman Ali, Irfan Hussain, Shah Khalid	15
2	DNAzyme biosensor as an emerging food safety indicator: History and fundamental mechanism to future prospects 2025 ·TrAC Trends in Analytical Chemistry ·You Zhou, Sobia Niazi, Muhammad Kashif Iqbal Khan, (unknown), Ali Raza, (unknown), Ali Mohsin, Muhammad Shoaib, Muhammad Sajjad, Sher Bahadar Khan, (unknown), Shahid Iqbal, (unknown), (unknown), Imran Mahmood Khan	0
3	Decentralized resource allocation in UAV communication networks through reward based multi agent learning 2025 ·Scientific Reports ·Muhammad Shoaib, Ghassan Husnain, M. Ijaz Khan, Yazeed Yasin Ghadi, Sangsoon Lim	0
4	Projected malaria transmission risk under climate intervention in South Asia 2025 ·Environmental Research Communications ·H. Athar, Muhammad Latif, Muhammad Shoaib, (unknown)	0
5	AI student success predictor: Enhancing personalized learning in campus management systems breakdown → 2024 ·Computers in Human Behavior ·Muhammad Shoaib, (unknown), Jaiteg Singh, Jana Shafi, Shakir Khan, Farman Ali	49
6	WASPAS Method for Healthcare Systems based on Intuitionistic Fuzzy Information 2024 ·Abrar Hussain, (unknown), Muhammad Shoaib, (unknown), Kifayat Ullah	0
7	Machine learning and deep learning approaches in IoT 2023 ·PeerJ Computer Science ·(unknown), Muhammad Awais, Muhammad Shoaib, (unknown), Mahmoud Othman	9
8	Deep learning for plant bioinformatics: an explainable gradient-based approach for disease detection 2023 ·Frontiers in Plant Science ·Muhammad Shoaib, Babar Shah, (unknown), Farman Ali, Rafi Ullah, Irfan Hussain	10
9	An Overview of Deep Learning Methods for Left Ventricle Segmentation 2023 ·Computational Intelligence and Neuroscience ·Muhammad Shoaib, Joon Huang Chuah, Ali Raza, Khairunnisa Hasikin‬, Azira Khalil, Yan Chai Hum, Yee Kai Tee, Samiappan Dhanalakshmi, Khin Wee Lai	15
10	Fully Automatic Left Ventricle Segmentation Using Bilateral Lightweight Deep Neural Network 2023 ·Life ·Muhammad Shoaib, Joon Huang Chuah, Ali Raza, Samiappan Dhanalakshmi, Yan Chai Hum, Azira Khalil, Khin Wee Lai	5
11	An advanced deep learning models-based plant disease detection: A review of recent research breakdown → 2023 ·Frontiers in Plant Science ·Muhammad Shoaib, Babar Shah, Shaker El–Sappagh, Akhtar Ali, Asad Ullah, Fayadh Alenezi, Tsanko Gechev, Tariq Hussain, Farman Ali	191
12	Corrigendum: An advanced deep learning models-based plant disease detection: a review of recent research 2023 ·Frontiers in Plant Science ·Muhammad Shoaib, Babar Shah, Shaker El–Sappagh, Akhtar Ali, Asad Ullah, Fayadh Alenezi, Tsanko Gechev, Tariq Hussain, Farman Ali	29
13	Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease breakdown → 2022 ·Frontiers in Plant Science ·Muhammad Shoaib, Tariq Hussain, Babar Shah, Ihsan Ullah, Sayyed Mudassar Shah, Farman Ali, Sang Hyun Park	143
14	Comparative studies of deep learning segmentation models for left ventricle segmentation 2022 ·Frontiers in Public Health ·Muhammad Shoaib, Khin Wee Lai, Joon Huang Chuah, Yan Chai Hum, Ali Raza, Samiappan Dhanalakshmi, Huanhuan Wang, Xiang Wu	25
15	Comparison of Multiple Deep Models on Semantic Segmentation for Breast Tumor Detection 2021 ·(unknown), (unknown), (unknown), (unknown), Muhammad Shoaib	2
16	A Deep Learning Based System for the Detection of Human Violence in Video Data 2021 ·Traitement du signal ·Muhammad Shoaib, (unknown)	6
17	Personalized support for well-being at work: an overview of the SWELL project 2019 ·User Modeling and User-Adapted Interaction ·Wessel Kraaij, Suzan Verberne, Saskia Koldijk, Elsbeth de Korte, Saskia van Dantzig, Maya Sappelli, Muhammad Shoaib, (unknown), (unknown), A. Bonomi, J.G.M. Schavemaker, (unknown), (unknown), Miriam Vollenbroek-Hutten, Mark A. Neerincx, Marten van Sinderen	6
18	Smart Card Based Protection for Dalvik Bytecode — Dynamically Loadable Component of an Android APK 2016 ·International Journal of Computer Theory and Engineering ·Muhammad Shoaib, (unknown), (unknown)	0
19	Human Activity Recognition Using Heterogeneous Sensors 2013 ·University of Twente Research Information ·Muhammad Shoaib	13
20	CAUSES OF PREVALENCE OF HEPATITIS–C IN VILLAGE MALKANI SHARIF, DISTRICT BADIN, SINDH, PAKISTAN 2013 ·SHILAP Revista de lepidopterología ·(unknown), Babar Zaman, Muhammad Shoaib, (unknown), Rashid Khan	1

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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