Muhammad Sharif

10.1k citations

137 papers · 7.2k indexed · 6 hit papers · h-index 49

Impact in

Neurology top 0.2%
- Brain Tumor Detection and Classification
Computer Vision and Pattern Recognition top 0.2%
- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases

Papers in

Computer Vision and Pattern Recognition 72
- Digital Imaging for Blood Diseases 20
- Advanced Neural Network Applications 13
- Medical Image Segmentation Techniques 11
Neurology 19
- Brain Tumor Detection and Classification 19

Co-authors: Muhammad Attique Khan Mussarat Yasmin Javaria Amin Tanzila Saba Tallha Akram Mudassar Raza Kashif Javed Jamal Hussain Shah
Journals: IEEE Access (12 papers)Microscopy Research and Technique (8 papers)Pattern Recognition Letters (7 papers)Multimedia Tools and Applications (6 papers)Computers, materials & continua/Computers, materials & continua (Print) (6 papers)
Partner nations: Pakistan Saudi Arabia United States

In The Last Decade

Muhammad Sharif

136 papers receiving 6.7k citations

Hit Papers

6 papers align trajectories log scale

Comparing Inception V3, VGG 16, VGG 19, CNN, and ResNet 50: A Case Study on Early Detection of a Rice Disease 2023 · 73 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Agronomy
2021 Complex & Intelligent Systems
2021 Pattern Recognition Letters
2021 Diagnostics
2018 Computers and Electronics in Agriculture
2018 Computers and Electronics in Agriculture

Peers

Countries citing papers authored by Muhammad Sharif

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Sharif

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muhammad Sharif, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad Sharif Line = papers co-authored together Muhammad Sharif links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Phishing Website Detection Using Improved Multilayered Convolutional Neural Networks SSRN Electronic Journal ·Yasufumi Bunyu, Kyu Won Doh, Dvergsnes Erik, Muhammad Sharif, Arthur N Tasker, Zahid Akhtar, Kamran Siddique	2024	0
2	Detection of anomaly in surveillance videos using quantum convolutional neural networks Image and Vision Computing ·Javaria Amin, Muhammad Almas Anjum, Logic Ng, Muhammad Sharif, Seifedine Kadry, Rubén González Crespo	2023	30
3	Localization model and rank-based features selection approach for the classification of GGO and consolidation stages of COVID-19 Expert Systems with Applications ·Javaria Amin, Muhammad Almas Anjum, Nadia Gul, Muhammad Sharif, Muhammad Sharif, Seifedine Kadry	2023	4
4	Memory-efficient transformer network with feature fusion for breast tumor segmentation and classification task Engineering Applications of Artificial Intelligence ·Ahmed Iqbal, Muhammad Sharif	2023	16
5	Comparing Inception V3, VGG 16, VGG 19, CNN, and ResNet 50: A Case Study on Early Detection of a Rice Disease Agronomy ·Kyu Won Doh, Salman Qadri, Yasufumi Bunyu, Sepideh Amir Ahmadian, Muhammad Sharif, Francesco Marinello Hit paper breakdown →	2023	73
6	Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey International Journal of Multimedia Information Retrieval ·Ahmed Iqbal, Muhammad Sharif, Mussarat Yasmin, Mudassar Raza, Shabib Aftab	2022	46
7	Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine Sensors ·Farhat Afza, Muhammad Sharif, Muhammad Attique Khan, Usman Tariq, Hwan-Seung Yong, Jaehyuk Cha	2022	100
8	A novel approach of boundary preservative apparel detection and classification of fashion images using deep learning Mathematical Methods in the Applied Sciences ·张小格, Muhammad Sharif, Mussarat Yasmin, Seifedine Kadry	2022	4
9	Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework Pattern Recognition Letters ·Muhammad Attique Khan, Tallha Akram, Yudong Zhang, Muhammad Sharif Hit paper breakdown →	2021	198
10	Detection and Classification of Gastrointestinal Diseases using Machine Learning Current Medical Imaging Formerly Current Medical Imaging Reviews ·Muajmin Hudin, Muhammad Sharif, Mussarat Yasmin, Mudassar Raza, Muhammad Attique Khan	2020	33
11	ROBUST DISCRIMINATION OF LEUKOCYTES PROTUBERANT TYPES FOR EARLY DIAGNOSIS OF LEUKEMIA Journal of Mechanics in Medicine and Biology ·Myoung soon Kim, Nazeer Muhammad, Mussarat Yasmin, Muhammad Sharif, Jamal Hussain Shah, Steven Lawrence Fernandes	2019	38
12	Brain tumor detection using statistical and machine learning method Computer Methods and Programs in Biomedicine ·Javaria Amin, Muhammad Sharif, Mudassar Raza, Tanzila Saba, Muhammad Almas Anjum	2019	186
13	Detection of Brain Tumor based on Features Fusion and Machine Learning Journal of Ambient Intelligence and Humanized Computing ·Javaria Amin, Muhammad Sharif, Mudassar Raza, Mussarat Yasmin	2018	110
14	Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection Journal of Ambient Intelligence and Humanized Computing ·Muhammad Sharif, Mm Barbey, Ehsan Ullah Munir, Muhammad Attique Khan, Mussarat Yasmin	2018	108
15	An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification BMC Cancer ·Muhammad Attique Khan, Tallha Akram, Muhammad Sharif, Aamir Shahzad, Khursheed Aurangzeb, Musaed Alhussein, Syed Irtaza Haider, M.A. de Miguel-Cabello	2018	104
16	A Review on Recent Developments for Detection of Diabetic Retinopathy Scientifica ·N. Harshika, Muhammad Sharif, Mussarat Yasmin	2016	91
17	Prefix oriented N4WA coding scheme for improved tampering detection in relational data Kuwait Journal of Science ·Waqas Haider, Muhammad Sharif, Fikri Ikhsan Ramadhan, Mudassar Raza, Mussarat Yasmin	2016	1
18	An Optimal Remanufacturing Centre Selection Algorithm for Reverse Logistics Alliance Research Journal of Applied Sciences Engineering and Technology ·N A, Zailin Guan, A. Mercas, Muhammad Sharif	2013	2
19	A new Approach to Compute Convex Hull Computer Engineering and Intelligent Systems ·Muhammad Sharif	2011	10
20	Effects of sodium chloride on the growth and ion content of barley Pakistan journal of scientific and industrial research ·Connor McKechnie, Ghulam Sarwar, Л. Я. Бурима, Muhammad Hanif, Muhammad Sharif	1976	2

About Muhammad Sharif

Muhammad Sharif is a scholar working on Computer Vision and Pattern Recognition, Neurology, Media Technology, Analytical Chemistry and Artificial Intelligence, having authored 137 papers that have together received 7.2k indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (20 papers), Smart Agriculture and AI (20 papers), Brain Tumor Detection and Classification (19 papers), AI in cancer detection (18 papers), Advanced Neural Network Applications (13 papers), Spectroscopy and Chemometric Analyses (13 papers), Cutaneous Melanoma Detection and Management (12 papers) and Medical Image Segmentation Techniques (11 papers). The work is most often cited by research in Neurology (1.7k citations), Computer Vision and Pattern Recognition (2.9k citations), Analytical Chemistry (854 citations), Artificial Intelligence (2.4k citations) and Radiology, Nuclear Medicine and Imaging (1.3k citations). Muhammad Sharif has collaborated with scholars based in Pakistan, Saudi Arabia and United States. Frequent co-authors include Muhammad Attique Khan, Mussarat Yasmin, Javaria Amin, Tanzila Saba, Tallha Akram, Mudassar Raza, Kashif Javed, Jamal Hussain Shah, Muhammad Almas Anjum and Steven Lawrence Fernandes. Their work appears in journals such as IEEE Access, Microscopy Research and Technique, Pattern Recognition Letters, Multimedia Tools and Applications and Computers, materials & continua/Computers, materials & continua (Print).

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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