Sohaib Asif

1.5k total citations
47 papers, 822 citations indexed

About

Sohaib Asif is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sohaib Asif has authored 47 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 21 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sohaib Asif's work include Brain Tumor Detection and Classification (14 papers), AI in cancer detection (13 papers) and COVID-19 diagnosis using AI (12 papers). Sohaib Asif is often cited by papers focused on Brain Tumor Detection and Classification (14 papers), AI in cancer detection (13 papers) and COVID-19 diagnosis using AI (12 papers). Sohaib Asif collaborates with scholars based in China, Bangladesh and Saudi Arabia. Sohaib Asif's co-authors include Yusen Zhu, Ming Zhao, Wenhui Yi, Jinhai Si, Fengxiao Tang, Jin Hou, Xuehan Chen, Yi Tao, Ming Zhao and Saif Ur Rehman Khan and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neural Networks.

In The Last Decade

Sohaib Asif

42 papers receiving 789 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sohaib Asif China 16 356 334 328 303 77 47 822
Md Shahin Ali Bangladesh 15 462 1.3× 165 0.5× 207 0.6× 170 0.6× 33 0.4× 25 900
Sarmad Maqsood Lithuania 11 293 0.8× 225 0.7× 216 0.7× 310 1.0× 55 0.7× 20 701
Yusen Zhu China 14 194 0.5× 117 0.4× 144 0.4× 138 0.5× 187 2.4× 31 656
Nada M. Elshennawy Egypt 11 294 0.8× 474 1.4× 189 0.6× 253 0.8× 66 0.9× 24 866
Muhammad Irfan Sharif Pakistan 12 279 0.8× 193 0.6× 438 1.3× 497 1.6× 83 1.1× 17 809
Ziquan Zhu United Kingdom 10 217 0.6× 240 0.7× 79 0.2× 171 0.6× 48 0.6× 16 496
Md Sipon Miah Bangladesh 15 359 1.0× 110 0.3× 178 0.5× 160 0.5× 31 0.4× 64 835
Flávio H. D. Araújo Brazil 18 513 1.4× 444 1.3× 57 0.2× 499 1.6× 57 0.7× 59 1.0k
Sertan Serte Cyprus 15 447 1.3× 733 2.2× 40 0.1× 263 0.9× 53 0.7× 36 1.0k
V. Seethalakshmi India 8 165 0.5× 142 0.4× 61 0.2× 118 0.4× 67 0.9× 22 472

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

20 of 20 papers shown
1.
Asif, Sohaib, et al.. (2025). HMDFF-Net: Hierarchical multi-scale dilated feature fusion network for accurate multiclass diagnosis of brain tumors. Expert Systems with Applications. 287. 128272–128272. 1 indexed citations
2.
Asif, Sohaib, et al.. (2025). OralTransNet: A novel hybrid model integrating transformer attention and CNN features for accurate diagnosis of mouth and oral diseases. Engineering Applications of Artificial Intelligence. 159. 111609–111609. 1 indexed citations
3.
Asif, Sohaib, Tingting Qian, Jun Yao, et al.. (2025). MultiResFF‐Net: Multilevel Residual Block‐Based Lightweight Feature Fused Network With Attention for Gastrointestinal Disease Diagnosis. International Journal of Intelligent Systems. 2025(1).
4.
Asif, Sohaib, Meiling Wang, Jincao Yao, et al.. (2025). Improving Breast Cancer Diagnosis in Ultrasound Images Using Deep Learning with Feature Fusion and Attention Mechanism. Academic Radiology. 32(9). 4997–5009. 2 indexed citations
5.
Asif, Sohaib. (2025). OSEN-IoT: An optimized stack ensemble network with genetic algorithm for robust intrusion detection in heterogeneous IoT networks. Expert Systems with Applications. 276. 127183–127183. 5 indexed citations
6.
Asif, Sohaib, et al.. (2025). A lightweight neural network with feature-level fusion and attention mechanisms for brain tumor classification. Multiscale and Multidisciplinary Modeling Experiments and Design. 8(6). 1 indexed citations
7.
Asif, Sohaib, et al.. (2025). Swarm intelligence optimization-based fusion of ConvMixer-enhanced deep neural networks for brain tumor detection. Swarm and Evolutionary Computation. 98. 102121–102121.
8.
Asif, Sohaib, et al.. (2025). A weighted Gompertz fuzzy ranking-based ensemble model for diabetic foot ulcer detection in skin and thermal imagery. Computers & Electrical Engineering. 126. 110475–110475.
9.
Khan, Saif Ur Rehman, et al.. (2025). ShallowMRI: A novel lightweight CNN with novel attention mechanism for Multi brain tumor classification in MRI images. Biomedical Signal Processing and Control. 111. 108425–108425. 1 indexed citations
10.
Asif, Sohaib, et al.. (2024). LitefusionNet: Boosting the performance for medical image classification with an intelligent and lightweight feature fusion network. Journal of Computational Science. 80. 102324–102324. 7 indexed citations
11.
Asif, Sohaib, et al.. (2024). A Fuzzy Minkowski Distance-based fusion of convolutional neural networks for gastrointestinal disease detection. Applied Soft Computing. 158. 111595–111595. 7 indexed citations
12.
Yao, Jincao, Ni Chen, Sohaib Asif, et al.. (2024). Deep learning based analysis of dynamic video ultrasonography for predicting cervical lymph node metastasis in papillary thyroid carcinoma. Endocrine. 87(3). 1060–1069. 3 indexed citations
13.
Asif, Sohaib, et al.. (2024). Differential evolution optimization based ensemble framework for accurate cervical cancer diagnosis. Applied Soft Computing. 167. 112366–112366. 16 indexed citations
14.
Asif, Sohaib, et al.. (2024). A novel lightweight deep learning framework with knowledge distillation for efficient diabetic foot ulcer detection. Applied Soft Computing. 167. 112296–112296. 6 indexed citations
15.
Khan, Saif Ur Rehman & Sohaib Asif. (2024). Oral cancer detection using feature-level fusion and novel self-attention mechanisms. Biomedical Signal Processing and Control. 95. 106437–106437. 19 indexed citations
16.
Asif, Sohaib, Ming Zhao, Fengxiao Tang, Yusen Zhu, & Baokang Zhao. (2023). Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection. Neural Networks. 167. 342–359. 41 indexed citations
17.
Asif, Sohaib, Ming Zhao, Xuehan Chen, & Yusen Zhu. (2023). StoneNet: An Efficient Lightweight Model Based on Depthwise Separable Convolutions for Kidney Stone Detection from CT Images. Interdisciplinary Sciences Computational Life Sciences. 15(4). 633–652. 13 indexed citations
18.
Zhao, Ming, et al.. (2022). Learning Based Massive Data Offloading in the IoV: Routing Based on Pre-RLGA. IEEE Transactions on Network Science and Engineering. 9(4). 2330–2340. 17 indexed citations
19.
Asif, Sohaib, et al.. (2022). Improving Effectiveness of Different Deep Transfer Learning-Based Models for Detecting Brain Tumors From MR Images. IEEE Access. 10. 34716–34730. 133 indexed citations
20.

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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