Sohaib Asif

461 total citations · 2 hit papers
18 papers, 235 citations indexed

About

Sohaib Asif is a scholar working on Artificial Intelligence, Neurology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sohaib Asif has authored 18 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Neurology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sohaib Asif's work include Brain Tumor Detection and Classification (7 papers), AI in cancer detection (6 papers) and COVID-19 diagnosis using AI (5 papers). Sohaib Asif is often cited by papers focused on Brain Tumor Detection and Classification (7 papers), AI in cancer detection (6 papers) and COVID-19 diagnosis using AI (5 papers). Sohaib Asif collaborates with scholars based in China, Pakistan and United States. Sohaib Asif's co-authors include Saif Ur Rehman Khan, Ming Zhao, Yangfan Li, Sajid Ali, Fengxiao Tang, Yusen Zhu, Muhammad Awais, Wenhui Yi, Saif Ur-Rehman and Jinhai Si and has published in prestigious journals such as Neurocomputing, Neural Networks and Artificial Intelligence Review.

In The Last Decade

Sohaib Asif

16 papers receiving 226 citations

Hit Papers

Deep hybrid model for Mpox disease diagnosis from skin le... 2024 2026 2025 2024 2025 10 20 30 40

Peers

Sohaib Asif
Comparison fields: 5 of 61
  • Artificial Intelligence 84
  • Radiology, Nuclear Medicine and Imaging 76
  • Neurology 55
  • Computer Vision and Pattern Recognition 48
  • Virology 38
Replace Saif Ur Rehman Khan with:
Saif Ur Rehman Khan China
Hasan Gharaibeh Jordan
Debendra Muduli India
Ahmad Nasayreh Jordan
Kokeb Dese Ethiopia
Sameh Abd El-Ghany Saudi Arabia
Shams Nafisa Ali Bangladesh
Meghavi Rana India
Ridhi Arora India
Fatima Zulfiqar Pakistan
Saif Ur Rehman Khan China View profile →
Citations per field, relative to Sohaib Asif
Sohaib Asif · 1×
Citations per year, relative to Sohaib Asif
Sohaib Asif · 1×

Countries citing papers authored by Sohaib Asif

Since Specialization
Citations

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

Fields of papers citing papers by Sohaib Asif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sohaib Asif

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

All Works

18 of 18 papers shown
# Work Indexed citations
1
An amalgamation of deep neural networks optimized with Salp swarm algorithm for cervical cancer detection breakdown →
17
2 10
3 0
4 2
5 4
6 10
7 1
8 0
9 24
10 27
11 1
12 45
13 19
14 4
15 13
16
Deep hybrid model for Mpox disease diagnosis from skin lesion images breakdown →
43
17
Wavelet Based Exposure Fusion
11
18 4

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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2026