Imran Ashraf

10.5k total citations · 2 hit papers
377 papers, 6.1k citations indexed

About

Imran Ashraf is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Imran Ashraf has authored 377 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Artificial Intelligence, 71 papers in Information Systems and 65 papers in Computer Networks and Communications. Recurrent topics in Imran Ashraf's work include Sentiment Analysis and Opinion Mining (40 papers), COVID-19 diagnosis using AI (25 papers) and Spam and Phishing Detection (24 papers). Imran Ashraf is often cited by papers focused on Sentiment Analysis and Opinion Mining (40 papers), COVID-19 diagnosis using AI (25 papers) and Spam and Phishing Detection (24 papers). Imran Ashraf collaborates with scholars based in South Korea, Pakistan and Spain. Imran Ashraf's co-authors include Furqan Rustam, Lester Ho, Soojung Hur, Yongwan Park, Gyu Sang Choi, Arif Mehmood, Isabel de la Torre Díez, Muhammad Umer, Federico Boccardi and Saleem Ullah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Imran Ashraf

354 papers receiving 5.8k citations

Hit Papers

align trajectories sort by overperformance

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.

Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19

2021 147 citations Furqan Rustam, Imran Ashraf et al. profile →
A Lesion-Based Diabetic Retinopathy Detection Through Hybrid Deep Learning Model

2024 46 citations Isabel de la Torre Díez, Imran Ashraf et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Imran Ashraf	1.9k	1.3k	993	751	580	377	6.1k
Ketan Kotecha	2.0k 1.1×	1.1k 0.9×	815 0.8×	795 1.1×	1.1k 1.8×	397	7.6k
Junaid Qadir	2.2k 1.2×	981 0.8×	1.8k 1.8×	952 1.3×	458 0.8×	237	7.6k
O. S. Albahri	1.6k 0.9×	505 0.4×	1.2k 1.2×	1.2k 1.6×	808 1.4×	133	6.9k
Lê Hoàng Sơn	2.4k 1.3×	1.0k 0.8×	1.7k 1.7×	1.2k 1.6×	1.1k 1.8×	256	9.1k
A. S. Albahri	1.9k 1.0×	556 0.4×	1.2k 1.2×	1.1k 1.5×	882 1.5×	166	7.5k
Anand Nayyar	1.6k 0.9×	1.7k 1.3×	2.2k 2.2×	1.5k 2.1×	1000 1.7×	312	7.7k
Celestine Iwendi	1.4k 0.7×	628 0.5×	1.4k 1.4×	961 1.3×	449 0.8×	126	4.2k
Simon Fong	2.8k 1.5×	712 0.6×	917 0.9×	934 1.2×	942 1.6×	428	7.1k
Muhammad Adnan Khan	2.3k 1.2×	814 0.6×	1.3k 1.3×	1.3k 1.7×	1.0k 1.8×	280	7.3k
Shahab S. Band	1.5k 0.8×	862 0.7×	1.0k 1.0×	707 0.9×	439 0.8×	196	6.3k

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

Abbas, Muhammad, et al.. (2025). Aerodynamic model identification of supersonic aircraft using Bayesian approach-based Box–Jenkins structure. Alexandria Engineering Journal. 127. 472–485. 1 indexed citations

Saeed, Nermin Kamal, et al.. (2025). Intelligent Decision Making for Commodities Price Prediction: Opportunities, Challenges and Future Avenues. Computational Economics. 66(5). 3781–3839. 2 indexed citations

Imran, Muhammad, Imran Shafi, Jamil Ahmad, et al.. (2024). Virtual histopathology methods in medical imaging - a systematic review. BMC Medical Imaging. 24(1). 318–318. 1 indexed citations

Lachgar, Mohamed, et al.. (2024). Enterprise Architecture Framework Selection for Collaborative Freight Transportation Digitalization: A Hybrid FAHP-FTOPSIS Approach. International Journal of Advanced Computer Science and Applications. 15(11). 1 indexed citations

Rustam, Furqan, et al.. (2024). Enhanced detection of diabetes mellitus using novel ensemble feature engineering approach and machine learning model. Scientific Reports. 14(1). 23274–23274. 4 indexed citations

Rehman, Saif Ur, et al.. (2024). Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops. Scientific Reports. 14(1). 30062–30062. 19 indexed citations

Alam, Md. Golam Rabiul, et al.. (2024). A graph mining-based approach to analyze the dynamics of the Twitter community of COVID-19 misinformation disseminators. ICT Express. 10(6). 1280–1287. 1 indexed citations

Alrowais, Fadwa, et al.. (2024). An improved skin lesion detection solution using multi-step preprocessing features and NASNet transfer learning model. Image and Vision Computing. 144. 104969–104969. 5 indexed citations

Shafi, Imran, et al.. (2023). Deep Learning-Based Multiclass Instance Segmentation for Dental Lesion Detection. Healthcare. 11(3). 347–347. 39 indexed citations

10.

Alabdulqader, Ebtisam, et al.. (2023). Improved Prediction of Ovarian Cancer Using Ensemble Classifier and Shaply Explainable AI. Cancers. 15(24). 5793–5793. 10 indexed citations

11.

Shoaib, Muhammad, et al.. (2023). Distributed Denial of Service Attack Detection in Network Traffic Using Deep Learning Algorithm. Sensors. 23(20). 8642–8642. 25 indexed citations

12.

Rustam, Furqan, et al.. (2023). Predicting skin cancer melanoma using stacked convolutional neural networks model. Multimedia Tools and Applications. 83(4). 9503–9522. 15 indexed citations

13.

Rustam, Furqan, et al.. (2023). Railway Track Fault Detection Using Selective MFCC Features from Acoustic Data. Sensors. 23(16). 7018–7018. 11 indexed citations

14.

Iqbal, Faiza, et al.. (2023). Blockchain-Modeled Edge-Computing-Based Smart Home Monitoring System with Energy Usage Prediction. Sensors. 23(11). 5263–5263. 20 indexed citations

15.

Umer, Muhammad, Saima Sadiq, Shtwai Alsubai, et al.. (2023). Face mask detection using deep convolutional neural network and multi-stage image processing. Image and Vision Computing. 133. 104657–104657. 17 indexed citations

16.

Madni, Hamza Ahmad, Muhammad Umer, Abid Ishaq, et al.. (2023). Water-Quality Prediction Based on H2O AutoML and Explainable AI Techniques. Water. 15(3). 475–475. 31 indexed citations

17.

Sadad, Tariq, Mejdl Safran, Inayat Khan, et al.. (2023). Efficient Classification of ECG Images Using a Lightweight CNN with Attention Module and IoT. Sensors. 23(18). 7697–7697. 15 indexed citations

18.

Islam, Md. Monirul, et al.. (2023). Benign and Malignant Oral Lesion Image Classification Using Fine-Tuned Transfer Learning Techniques. Diagnostics. 13(21). 3360–3360. 11 indexed citations

19.

Altaf, Ayesha, et al.. (2023). DrunkChain: Blockchain-Based IoT System for Preventing Drunk Driving-Related Traffic Accidents. Sensors. 23(12). 5388–5388. 10 indexed citations

20.

Khan, Abdul Sattar, et al.. (2022). The Effect of Jigsaw Cooperative Learning Method on Students Performance in the Class Assessment Test (CAT): A Quasi Experimental Study. SHILAP Revista de lepidopterología. 21(1). 75–78. 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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