Basit Raza

3.3k total citations · 2 hit papers
79 papers, 2.1k citations indexed

About

Basit Raza is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Basit Raza has authored 79 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 24 papers in Computer Networks and Communications and 23 papers in Information Systems. Recurrent topics in Basit Raza's work include Cloud Computing and Resource Management (11 papers), Brain Tumor Detection and Classification (10 papers) and AI in cancer detection (10 papers). Basit Raza is often cited by papers focused on Cloud Computing and Resource Management (11 papers), Brain Tumor Detection and Classification (10 papers) and AI in cancer detection (10 papers). Basit Raza collaborates with scholars based in Pakistan, Malaysia and Türkiye. Basit Raza's co-authors include Ahmad Kamran Malik, Rizwan Aslam Butt, Md Asri Ngadi, Vehbi Çağrı Güngör, Muhammad Faheem, Hani Alquhayz, M. Waqar Ashraf, Ahmad Raza Shahid, Anwar Ur Rehman and Waqar Ali and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Basit Raza

77 papers receiving 2.0k citations

Hit Papers

Smart grid communication and information technologies in ... 2018 2026 2020 2023 2018 2024 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Basit Raza Pakistan 26 823 475 415 378 274 79 2.1k
Sachin Kumar India 25 1.0k 1.3× 563 1.2× 459 1.1× 328 0.9× 527 1.9× 122 3.1k
S. Neelakandan India 30 743 0.9× 754 1.6× 448 1.1× 519 1.4× 142 0.5× 75 2.5k
Vicente García‐Díaz Spain 24 580 0.7× 398 0.8× 488 1.2× 218 0.6× 119 0.4× 120 2.0k
P. Mohamed Shakeel Malaysia 27 625 0.8× 552 1.2× 439 1.1× 333 0.9× 356 1.3× 55 2.1k
M. Poongodi Qatar 28 503 0.6× 594 1.3× 668 1.6× 355 0.9× 109 0.4× 49 2.1k
Rajesh Kaluri India 21 869 1.1× 649 1.4× 366 0.9× 274 0.7× 239 0.9× 48 2.4k
Jafar A. Alzubi Jordan 28 1.0k 1.3× 874 1.8× 574 1.4× 473 1.3× 150 0.5× 83 2.8k
Theyazn H. H. Aldhyani Saudi Arabia 28 694 0.8× 495 1.0× 273 0.7× 203 0.5× 167 0.6× 93 2.1k
Karl Andersson Sweden 31 1.0k 1.2× 855 1.8× 996 2.4× 425 1.1× 117 0.4× 200 3.5k
Asadullah Shaikh Saudi Arabia 22 537 0.7× 336 0.7× 449 1.1× 148 0.4× 196 0.7× 169 1.9k

Countries citing papers authored by Basit Raza

Since Specialization
Citations

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

Fields of papers citing papers by Basit Raza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Basit Raza

This figure shows the co-authorship network connecting the top 25 collaborators of Basit Raza. A scholar is included among the top collaborators of Basit 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 Basit Raza. Basit Raza 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.
Raza, Basit, et al.. (2025). RAVE-HD: A Novel Sequential Deep Learning Approach for Heart Disease Risk Prediction in e-Healthcare. Diagnostics. 15(22). 2866–2866. 1 indexed citations
2.
Raza, Basit, et al.. (2024). WaveSeg‐UNet model for overlapped nuclei segmentation from multi‐organ histopathology images. CAAI Transactions on Intelligence Technology. 10(1). 253–267. 5 indexed citations
3.
Al‐Shamayleh, Ahmad Sami, et al.. (2024). Performance Evaluation of Optical Transmission Based on Link Estimation by Using Deep Learning Techniques. IEEE Access. 12. 64126–64139. 2 indexed citations
4.
Raza, Basit, et al.. (2024). A deep fusion‐based vision transformer for breast cancer classification. Healthcare Technology Letters. 11(6). 471–484. 4 indexed citations
5.
Raza, Basit, et al.. (2024). AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things. CAAI Transactions on Intelligence Technology. 10 indexed citations
6.
Raza, Basit, et al.. (2023). Modality Specific CBAM-VGGNet Model for the Classification of Breast Histopathology Images via Transfer Learning. IEEE Access. 11. 15750–15762. 27 indexed citations
7.
Raza, Basit, et al.. (2023). The Deep Learning ResNet101 and Ensemble XGBoost Algorithm with Hyperparameters Optimization Accurately Predict the Lung Cancer. Applied Artificial Intelligence. 37(1). 20 indexed citations
8.
Raza, Basit, et al.. (2022). DenseRes-Unet: Segmentation of overlapped/clustered nuclei from multi organ histopathology images. Computers in Biology and Medicine. 143. 105267–105267. 67 indexed citations
9.
Alquhayz, Hani, et al.. (2022). The multi-level classification network (MCN) with modified residual U-Net for ischemic stroke lesions segmentation from ATLAS. Computers in Biology and Medicine. 151(Pt A). 106332–106332. 9 indexed citations
10.
Raza, Basit, et al.. (2022). SMDetector: Small mitotic detector in histopathology images using faster R-CNN with dilated convolutions in backbone model. Biomedical Signal Processing and Control. 81. 104414–104414. 23 indexed citations
12.
Raza, Basit, et al.. (2022). Towards Blockchain-Based Secure Storage and Trusted Data Sharing Scheme for IoT Environment. IEEE Access. 10. 36978–36994. 63 indexed citations
13.
Ali, Muhammad Junaid, et al.. (2021). Multi-level Kronecker Convolutional Neural Network (ML-KCNN) for Glioma Segmentation from Multi-modal MRI Volumetric Data. Journal of Digital Imaging. 34(4). 905–921. 10 indexed citations
14.
Raza, Basit, et al.. (2021). Visual interpretability in 3D brain tumor segmentation network. Computers in Biology and Medicine. 133. 104410–104410. 58 indexed citations
15.
Malik, Ahmad Kamran, Sidra Zafar, Hasan Ali Khattak, et al.. (2020). From Conventional to State-of-the-Art IoT Access Control Models. Electronics. 9(10). 1693–1693. 17 indexed citations
16.
Raza, Basit, Ahmad Kamran Malik, Ahmad Raza Shahid, et al.. (2020). An Optimally Configured and Improved Deep Belief Network (OCI-DBN) Approach for Heart Disease Prediction Based on Ruzzo–Tompa and Stacked Genetic Algorithm. IEEE Access. 8. 65947–65958. 56 indexed citations
17.
Faheem, Muhammad, Rizwan Aslam Butt, Basit Raza, et al.. (2020). FFRP: Dynamic Firefly Mating Optimization Inspired Energy Efficient Routing Protocol for Internet of Underwater Wireless Sensor Networks. IEEE Access. 8. 39587–39604. 56 indexed citations
18.
Fatima, Anam, et al.. (2020). State-of-the-Art Traditional to the Machine- and Deep-Learning-Based Skull Stripping Techniques, Models, and Algorithms. Journal of Digital Imaging. 33(6). 1443–1464. 40 indexed citations
19.
Faheem, Muhammad, Muhammad Umar, Rizwan Aslam Butt, et al.. (2019). Software Defined Communication Framework for Smart Grid to Meet Energy Demands in Smart Cities. 51–55. 25 indexed citations
20.
Ahmed, Mansoor, et al.. (2019). Privacy Concerns in Online Social Networks: A Users’ Perspective. International Journal of Advanced Computer Science and Applications. 10(7). 3 indexed citations

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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