Muhammad Rafiq

1.1k total citations · 1 hit paper
20 papers, 804 citations indexed

About

Muhammad Rafiq is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Muhammad Rafiq has authored 20 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Muhammad Rafiq's work include Human Pose and Action Recognition (5 papers), Multimodal Machine Learning Applications (4 papers) and Video Analysis and Summarization (3 papers). Muhammad Rafiq is often cited by papers focused on Human Pose and Action Recognition (5 papers), Multimodal Machine Learning Applications (4 papers) and Video Analysis and Summarization (3 papers). Muhammad Rafiq collaborates with scholars based in South Korea, Pakistan and Austria. Muhammad Rafiq's co-authors include Guido Bugmann, Dave Easterbrook, Gyu Sang Choi, Muhammad Saeed, Andreas Almqvist, Ali Nauman, Marcus Liwicki, Ali Usman, Min Cheol Chang and Muhammad Abdul Qyyum and has published in prestigious journals such as IEEE Access, Sensors and Computers & Structures.

In The Last Decade

Muhammad Rafiq

18 papers receiving 743 citations

Hit Papers

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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.

Neural network design for engineering applications

2001 577 citations Muhammad Rafiq, Guido Bugmann et al. Computers & Structures profile →

Peers

Countries citing papers authored by Muhammad Rafiq

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Rafiq

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Rafiq

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Rafiq. A scholar is included among the top collaborators of Muhammad Rafiq 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 Rafiq. Muhammad Rafiq 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	Cross modality medical image synthesis for improving liver segmentation 2025 ·Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization ·Muhammad Rafiq, Hazrat Ali, Ghulam Mujtaba, Zubair Shah, Shoaib Azmat	1
2	Transforming Medical Imaging: A VQA Model for Microscopic Blood Cell Classification 2024 ·IEEE Access ·I. Fatima, Jamal Hussain Shah, (unknown), Samia Riaz, Muhammad Rafiq, (unknown)	0
3	Escaping the Boredom Trap: Enhancing Usability With 3D Games in Monotonous Subjects 2024 ·IEEE Access ·(unknown), (unknown), Muhammad Rafiq, (unknown)	3
4	Quantum Mechanism-Based Convolution Model for the Classification of Pathogenic Bacteria 2023 ·IEEE Access ·(unknown), Jamal Hussain Shah, Muhammad Habib ur Rehman, Muhammad Rafiq, Gyu Sang Choi	2
5	Spectral Representation Learning and Fusion for Autonomous Vehicles Trip Description Exploiting Recurrent Transformer 2023 ·IEEE Access ·(unknown), Muhammad Rafiq, Gyu Sang Choi	1
6	Video description: A comprehensive survey of deep learning approaches 2023 ·Artificial Intelligence Review ·(unknown), Muhammad Rafiq, Gyu Sang Choi	24
7	SSNO: Spatio-Spectral Neural Operator for Functional Space Learning of Partial Differential Equations 2022 ·IEEE Access ·Muhammad Rafiq, (unknown), Ho-Youl Jung, Gyu Sang Choi	8
8	DeepRide: Dashcam Video Description Dataset for Autonomous Vehicle Location-Aware Trip Description 2022 ·IEEE Access ·(unknown), Muhammad Rafiq, Byung-Won On, Mankyu Sung, Gyu Sang Choi	4
9	DSFA-PINN: Deep Spectral Feature Aggregation Physics Informed Neural Network 2022 ·IEEE Access ·Muhammad Rafiq, (unknown), Gyu Sang Choi	10
10	Prediction of Process Parameters for the Integrated Biomass Gasification Power Plant Using Artificial Neural Network 2022 ·Frontiers in Energy Research ·Hafiz Muhammad Uzair Ayub, Muhammad Rafiq, Muhammad Abdul Qyyum, (unknown), Gyu Sang Choi, Moonyong Lee	12
11	Automated segmentation of chronic stroke lesion using efficient U-Net architecture 2022 ·Journal of Applied Biomedicine ·(unknown), (unknown), Muhammad Rafiq, Min Cheol Chang, Gyu Sang Choi	14
12	Machine Learning Computational Fluid Dynamics 2021 ·Ali Usman, Muhammad Rafiq, Muhammad Saeed, Ali Nauman, Andreas Almqvist, Marcus Liwicki	23
13	Video Description: Datasets & Evaluation Metrics 2021 ·IEEE Access ·Muhammad Rafiq, (unknown), Gyu Sang Choi	10
14	Optimizing Spatiotemporal Feature Learning in 3D Convolutional Neural Networks With Pooling Blocks 2021 ·IEEE Access ·(unknown), Muhammad Rafiq, (unknown), Bernhard Rinner, Gyu Sang Choi	8
15	Scene Classification for Sports Video Summarization Using Transfer Learning 2020 ·Sensors ·Muhammad Rafiq, (unknown), (unknown), Gyu Sang Choi, (unknown)	61
16	Development of a Model for Retention of MS/MPhil Students at Virtual University (VU) of Pakistan 2020 ·International Journal of Distance Education Technologies ·Muhammad Rafiq, (unknown), (unknown), (unknown)	0
17	Soccer Video Summarization Using Deep Learning 2019 ·(unknown), Muhammad Rafiq, Gyu Sang Choi	42
18	An Audible Search Engine for Visually Impaired Users: A Prototype Developed using Assistive Technology 2015 ·International Journal of Computer Applications ·(unknown), (unknown), (unknown), (unknown), (unknown), Muhammad Rafiq	1
19	Neural network design for engineering applications breakdown → 2001 ·Computers & Structures ·Muhammad Rafiq, Guido Bugmann, Dave Easterbrook	577
20	Genetic Algorithms In Optimum Design, CapacityCheck And Final Detailing Of Reinforced ConcreteColumns 1970 ·WIT transactions on the built environment ·Muhammad Rafiq	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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