Rehan Raza

589 total citations · 1 hit paper
14 papers, 314 citations indexed

About

Rehan Raza is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Rehan Raza has authored 14 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Neurology. Recurrent topics in Rehan Raza's work include Brain Tumor Detection and Classification (5 papers), Advanced Neural Network Applications (5 papers) and Medical Image Segmentation Techniques (3 papers). Rehan Raza is often cited by papers focused on Brain Tumor Detection and Classification (5 papers), Advanced Neural Network Applications (5 papers) and Medical Image Segmentation Techniques (3 papers). Rehan Raza collaborates with scholars based in Pakistan, Australia and India. Rehan Raza's co-authors include Usama Ijaz Bajwa, Muhammad Waqas Anwar, Yasar Mehmood, Fatima Zulfiqar, Tanvir Alam, Muhammad Arif, Atif Alvi, Muhammad Owais Khan, Muhammad Aksam Iftikhar and Allah Bux Sargano and has published in prestigious journals such as IEEE Access, Information Sciences and Engineering Applications of Artificial Intelligence.

In The Last Decade

Rehan Raza

13 papers receiving 298 citations

Hit Papers

Lung-EffNet: Lung cancer classification using EfficientNe... 2023 2026 2024 2025 2023 25 50 75

Peers

Rehan Raza
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 155
  • Neurology 155
  • Radiology, Nuclear Medicine and Imaging 106
  • Artificial Intelligence 86
  • Pulmonary and Respiratory Medicine 44
Replace Fatima Zulfiqar with:
Fatima Zulfiqar Pakistan
Khin Yadanar Win Thailand
Zizhou Wang China
Zhaoshuo Diao China
Tianyu Shi China
Xuanya Li China
Sourodip Ghosh India
Parvez Ahmad China
Bingchao Zhao China
Omid Nejati Manzari Iran
Fatima Zulfiqar Pakistan View profile →
Citations per field, relative to Rehan Raza
Rehan Raza · 1×
Citations per year, relative to Rehan Raza
Rehan Raza · 1×

Countries citing papers authored by Rehan Raza

Since Specialization
Citations

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

Fields of papers citing papers by Rehan Raza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rehan Raza

This figure shows the co-authorship network connecting the top 25 collaborators of Rehan Raza. A scholar is included among the top collaborators of Rehan Raza 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 Rehan Raza. Rehan Raza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 1
3 5
4 2
5 5
6 10
7 1
8 4
9 16
10
Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images breakdown →
92
11 142
12 5
13 29
14 2

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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