Farhan Akram

1.0k total citations
31 papers, 498 citations indexed

About

Farhan Akram is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Farhan Akram has authored 31 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Farhan Akram's work include Medical Image Segmentation Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (7 papers). Farhan Akram is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (7 papers). Farhan Akram collaborates with scholars based in Spain, South Korea and Netherlands. Farhan Akram's co-authors include Domènec Puig, Kwang Nam Choi, Vivek Kumar Singh, Hatem A. Rashwan, Miguel Ángel García, Mohamed Abdel‐Nasser, Hwee Kuan Lee, Md. Mostafa Kamal Sarker, Santiago Romaní and Sojeong Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Farhan Akram

29 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farhan Akram Spain 13 244 224 147 92 58 31 498
Farhat Afza Pakistan 7 285 1.2× 222 1.0× 92 0.6× 234 2.5× 22 0.4× 8 575
Anum Masood Pakistan 14 317 1.3× 118 0.5× 342 2.3× 87 0.9× 25 0.4× 54 752
Vivek Kumar Singh United States 16 356 1.5× 225 1.0× 274 1.9× 96 1.0× 33 0.6× 45 688
Karim Mokrani Algeria 9 210 0.9× 117 0.5× 51 0.3× 212 2.3× 21 0.4× 21 445
T. Shanthi India 7 108 0.4× 142 0.6× 202 1.4× 65 0.7× 27 0.5× 10 425
Andrea Pennisi Italy 11 213 0.9× 191 0.9× 38 0.3× 172 1.9× 35 0.6× 22 487
Mustafa Elattar Egypt 10 117 0.5× 118 0.5× 148 1.0× 76 0.8× 14 0.2× 34 449
Mohamed M. Fouad Egypt 9 306 1.3× 220 1.0× 47 0.3× 282 3.1× 39 0.7× 49 618
Hamidullah Binol United States 12 166 0.7× 123 0.5× 77 0.5× 45 0.5× 68 1.2× 33 467
Hiam Alquran Jordan 15 358 1.5× 105 0.5× 257 1.7× 122 1.3× 20 0.3× 71 816

Countries citing papers authored by Farhan Akram

Since Specialization
Citations

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

Fields of papers citing papers by Farhan Akram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farhan Akram

This figure shows the co-authorship network connecting the top 25 collaborators of Farhan Akram. A scholar is included among the top collaborators of Farhan Akram 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 Farhan Akram. Farhan Akram 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.
Akram, Farhan, et al.. (2025). Deep Learning-based Weapon Detection using Yolov8. 1269–1280.
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Akram, Farhan, Jules L. Derks, Yunlei Li, et al.. (2025). Deep Learning–Based Retinoblastoma Protein Subtyping of Pulmonary Large-Cell Neuroendocrine Carcinoma on Small Hematoxylin and Eosin–Stained Specimens. Laboratory Investigation. 105(9). 104192–104192. 1 indexed citations
4.
Akram, Farhan, Thierry van den Bosch, Robert M. Verdijk, et al.. (2024). Prediction of molecular subclasses of uveal melanoma by deep learning using routine haematoxylin–eosin‐stained tissue slides. Histopathology. 85(6). 909–919. 1 indexed citations
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Engan, Kjersti, et al.. (2023). Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic Review. Cancers. 15(18). 4518–4518. 9 indexed citations
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Akram, Farhan, et al.. (2022). Self-initialized active contours for microscopic cell image segmentation. Scientific Reports. 12(1). 14947–14947. 5 indexed citations
9.
Akram, Farhan, et al.. (2021). Active Contour Model for Image Segmentation With Dilated Convolution Filter. IEEE Access. 9. 168703–168714. 2 indexed citations
10.
Akram, Farhan, Siqin Zhou, Sze Huey Tan, et al.. (2020). Exploring MRI based radiomics analysis of intratumoral spatial heterogeneity in locally advanced nasopharyngeal carcinoma treated with intensity modulated radiotherapy. PLoS ONE. 15(10). e0240043–e0240043. 18 indexed citations
11.
Sarker, Md. Mostafa Kamal, Hatem A. Rashwan, Farhan Akram, et al.. (2019). SLSNet: Skin lesion segmentation using a lightweight generative\n adversarial network. arXiv (Cornell University). 45 indexed citations
12.
Park, Sojeong, et al.. (2019). Fence GAN: Towards Better Anomaly Detection. 141–148. 66 indexed citations
13.
Sarker, Md. Mostafa Kamal, et al.. (2019). Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism. IEEE Access. 7. 39069–39082. 6 indexed citations
14.
Akram, Farhan, et al.. (2019). Automated grading of acne vulgaris by deep learning with convolutional neural networks. Skin Research and Technology. 26(2). 187–192. 32 indexed citations
15.
Singh, Vivek Kumar, Mohamed Abdel‐Nasser, Hatem A. Rashwan, et al.. (2019). FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. IEEE Access. 7. 130552–130565. 56 indexed citations
16.
Singh, Vivek Kumar, Hatem A. Rashwan, Santiago Romaní, et al.. (2018). Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks.. arXiv (Cornell University). 4 indexed citations
17.
Akram, Farhan, Miguel Ángel García, & Domènec Puig. (2017). Active contours driven by local and global fitted image models for image segmentation robust to intensity inhomogeneity. PLoS ONE. 12(4). e0174813–e0174813. 35 indexed citations
18.
Akram, Farhan, Miguel Ángel García, & Domènec Puig. (2017). Active contours driven by difference of Gaussians. Scientific Reports. 7(1). 14984–14984. 17 indexed citations
19.
Akram, Farhan, et al.. (2014). Segmentation of Intensity Inhomogeneous Brain MR Images Using Active Contours. Computational and Mathematical Methods in Medicine. 2014. 1–14. 16 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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Breakdown of academic impact, for papers by Farhat Afza Breakdown of academic impact, for papers by Anum Masood Breakdown of academic impact, for papers by Vivek Kumar Singh Breakdown of academic impact, for papers by Karim Mokrani Breakdown of academic impact, for papers by T. Shanthi Breakdown of academic impact, for papers by Andrea Pennisi Breakdown of academic impact, for papers by Mustafa Elattar Breakdown of academic impact, for papers by Mohamed M. Fouad Breakdown of academic impact, for papers by Hamidullah Binol Breakdown of academic impact, for papers by Hiam Alquran
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