Faheem Akhtar

1.3k total citations
58 papers, 795 citations indexed

About

Faheem Akhtar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Faheem Akhtar has authored 58 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Faheem Akhtar's work include Advanced Steganography and Watermarking Techniques (7 papers), Chaos-based Image/Signal Encryption (6 papers) and Digital Imaging for Blood Diseases (5 papers). Faheem Akhtar is often cited by papers focused on Advanced Steganography and Watermarking Techniques (7 papers), Chaos-based Image/Signal Encryption (6 papers) and Digital Imaging for Blood Diseases (5 papers). Faheem Akhtar collaborates with scholars based in Pakistan, China and Japan. Faheem Akhtar's co-authors include Jianqiang Li, Yan Pei, Tariq Mahmood, Azhar Imran, Khalil Ur Rehman, Sirajuddin Qureshi, Muhammad Azeem, Ji‐Jiang Yang, Xiaoxi Wang and Dan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Faheem Akhtar

56 papers receiving 759 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faheem Akhtar Pakistan 16 333 253 146 138 116 58 795
Haza Nuzly Abdull Hamed Malaysia 12 483 1.5× 155 0.6× 44 0.3× 233 1.7× 102 0.9× 42 1.0k
Javad Rahebi Türkiye 16 197 0.6× 188 0.7× 83 0.6× 186 1.3× 188 1.6× 75 759
Azhar Imran Pakistan 21 447 1.3× 573 2.3× 177 1.2× 310 2.2× 44 0.4× 75 1.3k
Marwa Obayya Saudi Arabia 15 283 0.8× 191 0.8× 62 0.4× 172 1.2× 40 0.3× 78 725
Ibrahim Abunadi Saudi Arabia 18 363 1.1× 213 0.8× 115 0.8× 156 1.1× 44 0.4× 46 911
Muhammad Waqas Nadeem Pakistan 10 211 0.6× 176 0.7× 96 0.7× 150 1.1× 24 0.2× 18 674
Yu Weng China 10 219 0.7× 113 0.4× 121 0.8× 294 2.1× 85 0.7× 45 734
Arpit Jain India 12 397 1.2× 214 0.8× 129 0.9× 506 3.7× 57 0.5× 55 960
Siyamalan Manivannan Sri Lanka 13 217 0.7× 145 0.6× 111 0.8× 193 1.4× 46 0.4× 38 586
Tayyaba Anees Pakistan 17 266 0.8× 196 0.8× 120 0.8× 83 0.6× 29 0.3× 35 648

Countries citing papers authored by Faheem Akhtar

Since Specialization
Citations

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

Fields of papers citing papers by Faheem Akhtar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faheem Akhtar

This figure shows the co-authorship network connecting the top 25 collaborators of Faheem Akhtar. A scholar is included among the top collaborators of Faheem Akhtar 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 Faheem Akhtar. Faheem Akhtar 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.
Akhtar, Faheem, et al.. (2025). Artificial Intelligence (AI) in Libraries. ˜The œcritical review of social sciences studies. 3(1). 1462–1468. 1 indexed citations
2.
Li, Jianqiang, et al.. (2023). A dictionary-guided attention network for biomedical named entity recognition in Chinese electronic medical records. Expert Systems with Applications. 231. 120709–120709. 12 indexed citations
3.
Akhtar, Faheem, et al.. (2023). An MMC based HVDC system with optimized AC fault ride-through capability and enhanced circulating current suppression control. Frontiers in Energy Research. 11. 1 indexed citations
4.
Akhtar, Faheem, et al.. (2023). Embracing green supply chain collaboration through technologies: the bridging role of advanced manufacturing technology. Journal of Business and Industrial Marketing. 38(12). 2626–2642. 12 indexed citations
5.
Li, Jianqiang, et al.. (2022). A content awareness module for predictive lossless image compression to achieve high throughput data sharing over the network storage. International Journal of Distributed Sensor Networks. 18(3). 3627530895–3627530895. 1 indexed citations
6.
Mahmood, Tariq, et al.. (2022). Breast lesions classifications of mammographic images using a deep convolutional neural network-based approach. PLoS ONE. 17(1). e0263126–e0263126. 58 indexed citations
7.
Mahmood, Tariq, Jianqiang Li, Yan Pei, & Faheem Akhtar. (2021). An Automated In-Depth Feature Learning Algorithm for Breast Abnormality Prognosis and Robust Characterization from Mammography Images Using Deep Transfer Learning. Biology. 10(9). 859–859. 57 indexed citations
8.
Qureshi, Sirajuddin, et al.. (2021). Analysis of Challenges in Modern Network Forensic Framework. Security and Communication Networks. 2021. 1–13. 3 indexed citations
9.
Imran, Azhar, et al.. (2020). Automated identification of cataract severity using retinal fundus images. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 8(6). 691–698. 25 indexed citations
10.
Akhtar, Faheem, et al.. (2020). Discretization of the Crime Rate from Numerical Into Categorical. 27. 1–7. 1 indexed citations
11.
Mahmood, Tariq, Jianqiang Li, Yan Pei, et al.. (2020). A Brief Survey on Breast Cancer Diagnostic With Deep Learning Schemes Using Multi-Image Modalities. IEEE Access. 8. 165779–165809. 103 indexed citations
12.
Imran, Azhar, Jianqiang Li, Yan Pei, et al.. (2020). Fundus image-based cataract classification using a hybrid convolutional and recurrent neural network. The Visual Computer. 37(8). 2407–2417. 37 indexed citations
13.
Shahzad, Muhammad, et al.. (2019). Multi-Sensor Depth Fusion Framework for Real-Time 3D Reconstruction. IEEE Access. 7. 136471–136480. 4 indexed citations
14.
Akhtar, Faheem, et al.. (2019). Diagnosis and Prediction of Large-for-Gestational-Age Fetus Using the Stacked Generalization Method. Applied Sciences. 9(20). 4317–4317. 19 indexed citations
15.
Azeem, Muhammad, Jingsha He, Allah Ditta, Faheem Akhtar, & Sher Muhammad Daudpota. (2019). A novel approach to secret data concealment with high cover text capacity and security. International Journal of Electronic Security and Digital Forensics. 12(1). 77–77. 3 indexed citations
16.
Wang, Dan, et al.. (2019). MLPXSS: An Integrated XSS-Based Attack Detection Scheme in Web Applications Using Multilayer Perceptron Technique. IEEE Access. 7. 100567–100580. 71 indexed citations
17.
Akhtar, Faheem, et al.. (2019). A Novel Grading Method of Cataract Based on AWM. 368–373. 4 indexed citations
18.
Imran, Azhar, et al.. (2018). An Enhanced Approach for Quantitative Prediction of Personality in Facebook Posts. International Journal of Education and Management Engineering. 8(2). 8–19. 10 indexed citations
19.
Akhtar, Faheem, et al.. (2018). A Cryptographic Data Hiding Algorithm with High Cover Text Capacity. International Journal of Electronic Security and Digital Forensics. 11(2). 1–1. 1 indexed citations
20.
Akhtar, Nadia, et al.. (2015). The extent and impact of code-mixing in advertisements: a case of Pakistani Print Media. International journal of research in social sciences. 5(1). 21–34. 1 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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