Faiza Akram

729 citations
16 papers · 488 · 1 hit paper · h-index 5

Impact in

Papers in

Faiza Akram

14 papers receiving 467 citations

Faiza Akram's Hit Papers

A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning 2019 · 440 citations
4400+2+4Years since publication100200300400

Peers

Faiza Akram
Comparison fields: 5 of 70
  • Neurology 352
  • Computer Vision and Pattern Recognition 289
  • Radiology, Nuclear Medicine and Imaging 122
  • Artificial Intelligence 189
  • Health Informatics 4
Replace Nagaraj Yamanakkanavar with:
Nagaraj Yamanakkanavar South Korea
Zhaoqiang Yun China
Hassan Ali Khan China
Abdullah A. Asiri Saudi Arabia
Xuanya Li China
Emrah Irmak Türkiye
Palash Ghosal India
Zaka Ur Rehman Malaysia
Xiaoyuan Lu China
Samuel Rahimeto Kebede Ethiopia
Faiza Akram relative to Nagaraj Yamanakkanavar South Korea Nagaraj Yamanakkanavar's profile →
Citations per field
00.5×7.8×
Nagaraj Yamanakkanavar · 1×
Citations per year

Countries citing papers authored by Faiza Akram

Since Specialization
Citations

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

Fields of papers citing papers by Faiza Akram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Faiza Akram, 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 Faiza Akram Line = papers co-authored together Faiza Akram links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning
Hit paper breakdown →
2019440
2
Obesity And Diabetes As Determinants Of Vitamin D Deficiency.
201912
3
Comparison of perinatal outcome of growth restricted fetuses with normal and abnormal umbilical artery Doppler waveforms.
20157
4
A Comparative Study to Know the Causes of Spelling Errors Committed by Learners of English at Elementary Level in Distract Kasur and Lahore in Pakistan
20146
5
Validity Of Transabdominal Ultrasound Scan In The Prediction Of Uterine Scar Thickness.
20205
6 20223
7 20143
8
Non-Contrast Enhanced Multi-Slice Ct-Kub In Renal Colic: Spectrum Of Abnormalities Detected On Ct Kub And Assessment Of Referral Patterns.
20193
9 20112
10 20242
11
Paediatrics Brain Imaging In Epilepsy: Common Presenting Symptoms And Spectrum Of Abnormalities Detected On MRI.
20192
12 20231
13 20221
14 20221
15 20220
16
Use Of Radiological Diagnostic Modalities In Tertiary Care Hospital - How Do The Clinicians Decide About Type Of Modality And Clinician Perception Regarding Hazards Associated With Radiological Imaging Modalities?
20220

About Faiza Akram

Faiza Akram is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology, Molecular Biology and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 488 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (1 paper), Brain Tumor Detection and Classification (1 paper), Pelvic and Acetabular Injuries (1 paper), Pancreatitis Pathology and Treatment (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Diet, Metabolism, and Disease (1 paper), Radiation Dose and Imaging (1 paper) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Neurology (352 citations), Computer Vision and Pattern Recognition (289 citations), Radiology, Nuclear Medicine and Imaging (122 citations), Artificial Intelligence (189 citations) and Health Informatics (4 citations). Faiza Akram has collaborated with scholars based in Pakistan, Sweden and United States. Frequent co-authors include Muhammad Imran, Arshia Rehman, Saeeda Naz, Imran Razzak, Shahid Hussain, Muhammad Fayyaz, Khalil Ahmed, Iffat Ara, DS Sanders and Mohammed Karajeh. Their work appears in journals such as Gut, Circuits Systems and Signal Processing, Journal of Molecular Structure, Journal of Ayub Medical College Abbottabad and PubMed.

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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