Imran Ashraf

2.3k total citations · 1 hit paper
58 papers, 1.5k citations indexed

About

Imran Ashraf is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Imran Ashraf has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Hardware and Architecture. Recurrent topics in Imran Ashraf's work include Quantum Computing Algorithms and Architecture (11 papers), Parallel Computing and Optimization Techniques (10 papers) and Embedded Systems Design Techniques (8 papers). Imran Ashraf is often cited by papers focused on Quantum Computing Algorithms and Architecture (11 papers), Parallel Computing and Optimization Techniques (10 papers) and Embedded Systems Design Techniques (8 papers). Imran Ashraf collaborates with scholars based in Pakistan, Saudi Arabia and South Korea. Imran Ashraf's co-authors include Muhammad Attique Khan, Majed Alhaisoni, Robertas Damaševičius, Amjad Rehman, Rafał Scherer, Syed Ahmad Chan Bukhari, Carmen G. Almudéver, Koen Bertels, Lingling Lao and N. Khammassi and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Imran Ashraf

52 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists

2020 306 citations Muhammad Attique Khan, Imran Ashraf et al. Diagnostics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Imran Ashraf Pakistan	20	723	464	321	287	125	58	1.5k
Sanjay Agrawal India	18	309 0.4×	736 1.6×	153 0.5×	188 0.7×	13 0.1×	63	1.2k
Jamuna Kanta Sing India	20	268 0.4×	628 1.4×	127 0.4×	52 0.2×	28 0.2×	112	1.3k
Huisheng Zhang China	19	570 0.8×	536 1.2×	28 0.1×	454 1.6×	76 0.6×	81	1.4k
Yuk Ying Chung Australia	19	599 0.8×	607 1.3×	23 0.1×	161 0.6×	30 0.2×	125	1.6k
El-Sayed M. El-Horbaty Egypt	13	541 0.7×	521 1.1×	516 1.6×	214 0.7×	16 0.1×	54	1.1k
Tamalika Chaira India	17	371 0.5×	566 1.2×	67 0.2×	83 0.3×	19 0.2×	38	1.1k
Haiying Xia China	20	632 0.9×	428 0.9×	32 0.1×	178 0.6×	99 0.8×	90	1.1k
Gouenou Coatrieux France	32	493 0.7×	2.5k 5.4×	78 0.2×	629 2.2×	21 0.2×	139	3.4k
Pavel Lyakhov Russia	15	305 0.4×	240 0.5×	26 0.1×	67 0.2×	43 0.3×	98	945
Chong Fu China	20	618 0.9×	1.1k 2.5×	43 0.1×	153 0.5×	7 0.1×	134	1.8k

Countries citing papers authored by Imran Ashraf

Since Specialization

Citations

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

Fields of papers citing papers by Imran Ashraf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imran Ashraf

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ahmed, Khawaja Tehseen, et al.. (2025). Advanced multilevel feature fusion framework for enhanced image retrieval using convolutional neural network and benchmark datasets. Journal Of Big Data. 12(1). 1 indexed citations

Liaqat, Hannan Bin, et al.. (2025). Framework for detecting phishing crimes on Twitter using selective features and machine learning. Computers & Electrical Engineering. 124. 110363–110363. 3 indexed citations

Aqib, Muhammad, et al.. (2025). Detection of cotton crops diseases using customized deep learning model. Scientific Reports. 15(1). 10766–10766. 2 indexed citations

Ali, Muhammad Usman, et al.. (2025). Effortless 3D radio maps generation for fingerprinting-based indoor positioning system. Scientific Reports. 15(1). 29058–29058.

Al‐Shamayleh, Ahmad Sami, et al.. (2025). Novel transfer learning based bone fracture detection using radiographic images. BMC Medical Imaging. 25(1). 5–5. 6 indexed citations

Alabdulqader, Ebtisam, et al.. (2024). Image Processing-based Resource-Efficient Transfer Learning Approach for Cancer Detection Employing Local Binary Pattern Features. Mobile Networks and Applications. 29(4). 1351–1367. 4 indexed citations

Ashraf, Imran, et al.. (2024). A systematic literature review of neuroimaging coupled with machine learning approaches for diagnosis of attention deficit hyperactivity disorder. Journal Of Big Data. 11(1). 1 indexed citations

Innab, Nisreen, et al.. (2024). Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI. Frontiers in Public Health. 12. 1462693–1462693. 1 indexed citations

Akram, Tallha, et al.. (2024). CG‐Net: A novel CNN framework for gastrointestinal tract diseases classification. International Journal of Imaging Systems and Technology. 34(3). 11 indexed citations

10.

Islam, Md. Monirul, et al.. (2024). StackIL10: A stacking ensemble model for the improved prediction of IL-10 inducing peptides. PLoS ONE. 19(11). e0313835–e0313835. 1 indexed citations

11.

Nazir, Muhammad, et al.. (2023). GastroNet: A robust attention‐based deep learning and cosine similarity feature selection framework for gastrointestinal disease classification from endoscopic images. CAAI Transactions on Intelligence Technology. 25 indexed citations

12.

Nazir, Muhammad, et al.. (2023). Emerging Trends and Advances in the Diagnosis of Gastrointestinal Diseases. 5(2). 118–143. 4 indexed citations

13.

Nazir, Muhammad, et al.. (2023). Efficient Gastrointestinal Disease Classification Using Pretrained Deep Convolutional Neural Network. Electronics. 12(7). 1557–1557. 47 indexed citations

14.

Nazir, Muhammad, et al.. (2023). Gastrointestinal Diseases Classification Using Deep Transfer Learning and Features Optimization. Computers, materials & continua/Computers, materials & continua (Print). 75(1). 2227–2245. 15 indexed citations

15.

Ashraf, Imran, et al.. (2022). BrainNet: Optimal Deep Learning Feature Fusion for Brain Tumor Classification. Computational Intelligence and Neuroscience. 2022. 1–13. 55 indexed citations

16.

Chaganti, Rajasekhar, Rajendra V. Boppana, Vinayakumar Ravi, et al.. (2022). A Comprehensive Review of Denial of Service Attacks in Blockchain Ecosystem and Open Challenges. IEEE Access. 10. 96538–96555. 43 indexed citations

17.

Umer, Muhammad, Imran Ashraf, Saleem Ullah, Arif Mehmood, & Gyu Sang Choi. (2021). COVINet: a convolutional neural network approach for predicting COVID-19 from chest X-ray images. Journal of Ambient Intelligence and Humanized Computing. 13(1). 535–547. 74 indexed citations

18.

Tariq, Junaid, Ammar Armghan, Aamir Ijaz, & Imran Ashraf. (2020). Pure intra mode decision in HEVC using optimized firefly algorithm. Journal of Visual Communication and Image Representation. 68. 102766–102766. 15 indexed citations

19.

Khan, Muhammad Attique, Imran Ashraf, Majed Alhaisoni, et al.. (2020). Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists. Diagnostics. 10(8). 565–565. 306 indexed citations breakdown →

20.

Lao, Lingling, et al.. (2019). Mapping of quantum circuits onto NISQ superconducting processors. arXiv (Cornell University). 9 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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