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Prince Mohammad bin Fahd University

InstitutionResearch output, impact & collaborations

Prince Mohammad bin Fahd University is a institution indexed in ScholarIQ from OpenAlex.

What is known about Prince Mohammad bin Fahd University?

ScholarIQrecord summary

Prince Mohammad bin Fahd University is a research organisation in Khobar, SA. OpenAlex records 6,552 works and 132,638 citations for it. 1,276 researchers list it as their most recent affiliation.

How many works does Prince Mohammad bin Fahd University have?

ScholarIQindexed works

Prince Mohammad bin Fahd University has 6,552 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

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How many citations does Prince Mohammad bin Fahd University have?

ScholarIQcitation count

Prince Mohammad bin Fahd University has 132,638 citations in the OpenAlex counts ScholarIQ stores.

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How many researchers are at Prince Mohammad bin Fahd University?

ScholarIQresearcher count

Prince Mohammad bin Fahd University has 1,276 researchers in the ScholarIQ index.

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What is the average h-index at Prince Mohammad bin Fahd University?

ScholarIQavg h-index

Prince Mohammad bin Fahd University has an average h-index of 73 in OpenAlex.

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What is the ROR of Prince Mohammad bin Fahd University?

ScholarIQror

The ROR for Prince Mohammad bin Fahd University is on the source record.

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What is the OpenAlex record for Prince Mohammad bin Fahd University?

ScholarIQopenalex

The OpenAlex for Prince Mohammad bin Fahd University is on the source record.

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What is the Wikidata of Prince Mohammad bin Fahd University?

ScholarIQwikidata

The Wikidata for Prince Mohammad bin Fahd University is on the source record.

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Who are the most-cited researchers behind Prince Mohammad bin Fahd University?

ScholarIQtop researchers by citations

1

Muhammad Attique Khan · AI in cancer detection

334 works16,923 citations

What are the most-cited papers on Prince Mohammad bin Fahd University?

ScholarIQmost cited works

An automated detection and classification of citrus plant diseases using image processing techniques: A review

Zahid Iqbal, Muhammad Attique Khan, Muhammad Sharif, Jamal Hussain Shah, Muhammad Habib ur Rehman, Kashif Javed

Computers and Electronics in Agriculture. 2018477 Citations

Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection

Muhammad Sharif, Muhammad Attique Khan, Zahid Iqbal, Muhammad Faisal Azam, M. Ikram Ullah Lali, Muhammad Younus Javed

Computers and Electronics in Agriculture. 2018470 Citations

Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists

Muhammad Attique Khan, Imran Ashraf, Majed Alhaisoni, Robertas Damaševičius, Rafał Scherer, Amjad Rehman, Syed Ahmad Chan Bukhari

Diagnostics. 2020424 CitationsOPEN ACCESS

A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics

Muhammad Adeel Azam, Khan Bahadar Khan, Sana Salahuddin, Eid Rehman, Sajid Ali Khan, Muhammad Attique Khan, Seifedine Kadry, Amir H. Gandomi

Computers in Biology and Medicine. 2022410 Citations

Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images

Muhammad Irfan Sharif, Jianping Li, Muhammad Attique Khan, Muhammad Asim Saleem

Pattern Recognition Letters. 2019329 Citations

How much of the research on Prince Mohammad bin Fahd University is open access?

ScholarIQopen access share

50%OPEN ACCESS

Gold

50%

Green

0%

Hybrid

0%

Bronze

0%

Closed

50%

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