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

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 →

Peers

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Aerodynamic model identification of supersonic aircraft using Bayesian approach-based Box–Jenkins structure 2025 ·Alexandria Engineering Journal ·(unknown), (unknown), Muhammad Abbas, Imran Shafi, (unknown), (unknown), Imran Ashraf	1
2	An improved skin lesion detection solution using multi-step preprocessing features and NASNet transfer learning model 2024 ·Image and Vision Computing ·(unknown), Fadwa Alrowais, Hanen Karamti, Muhammad Umer, Lucia Cascone, Imran Ashraf	5
3	Virtual histopathology methods in medical imaging - a systematic review 2024 ·BMC Medical Imaging ·Muhammad Imran, Imran Shafi, Jamil Ahmad, Muhammad Fasih Uddin Butt, Santos Gràcia Villar, (unknown), Tahir Khurshaid, Imran Ashraf	1
4	Enterprise Architecture Framework Selection for Collaborative Freight Transportation Digitalization: A Hybrid FAHP-FTOPSIS Approach 2024 ·International Journal of Advanced Computer Science and Applications ·(unknown), (unknown), Mohamed Lachgar, Mohamed Hanine, Imran Ashraf	1
5	Enhanced detection of diabetes mellitus using novel ensemble feature engineering approach and machine learning model 2024 ·Scientific Reports ·Furqan Rustam, Ahmad Sami Al‐Shamayleh, (unknown), Silvia Aparicio Obregón, Rubén Calderón Iglesias, (unknown), Imran Ashraf	4
6	Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops 2024 ·Scientific Reports ·(unknown), Saif Ur Rehman, (unknown), (unknown), Silvia Aparicio Obregón, Rubén Calderón Iglesias, Tahir Khurshaid, Imran Ashraf	19
7	A graph mining-based approach to analyze the dynamics of the Twitter community of COVID-19 misinformation disseminators 2024 ·ICT Express ·(unknown), (unknown), Md. Golam Rabiul Alam, Jia Uddin, Imran Ashraf, Md Abdus Samad	1
8	Efficient Classification of ECG Images Using a Lightweight CNN with Attention Module and IoT 2023 ·Sensors ·Tariq Sadad, Mejdl Safran, Inayat Khan, Sultan Alfarhood, Razaullah Khan, Imran Ashraf	15
9	Benign and Malignant Oral Lesion Image Classification Using Fine-Tuned Transfer Learning Techniques 2023 ·Diagnostics ·Md. Monirul Islam, (unknown), Jia Uddin, Imran Ashraf, Md Abdus Samad	11
10	Deep Learning-Based Multiclass Instance Segmentation for Dental Lesion Detection 2023 ·Healthcare ·(unknown), Imran Shafi, Hammad Afzal, (unknown), Isabel de la Torre Díez, Vivían Lipari, (unknown), Imran Ashraf	39
11	Improved Prediction of Ovarian Cancer Using Ensemble Classifier and Shaply Explainable AI 2023 ·Cancers ·(unknown), (unknown), (unknown), Ebtisam Alabdulqader, Muhammad Umer, Tai-hoon Kim, Shtwai Alsubai, Imran Ashraf	10
12	Distributed Denial of Service Attack Detection in Network Traffic Using Deep Learning Algorithm 2023 ·Sensors ·(unknown), Muhammad Shoaib, Ayesha Altaf, (unknown), Faiza Iqbal, (unknown), Imran Ashraf	25
13	Predicting skin cancer melanoma using stacked convolutional neural networks model 2023 ·Multimedia Tools and Applications ·(unknown), (unknown), Furqan Rustam, Arif Mehmood, Imran Ashraf, Gyu Sang Choi	15
14	Railway Track Fault Detection Using Selective MFCC Features from Acoustic Data 2023 ·Sensors ·Furqan Rustam, Abid Ishaq, (unknown), Hafeez Ur Rehman Siddiqui, Luís Alonso Dzul López, (unknown), Imran Ashraf	11
15	Blockchain-Modeled Edge-Computing-Based Smart Home Monitoring System with Energy Usage Prediction 2023 ·Sensors ·Faiza Iqbal, Ayesha Altaf, (unknown), (unknown), (unknown), Isabel de la Torre Díez, Imran Ashraf	20
16	Face mask detection using deep convolutional neural network and multi-stage image processing 2023 ·Image and Vision Computing ·Muhammad Umer, Saima Sadiq, (unknown), Shtwai Alsubai, Abdullah Al Hejaili, Ala’ Abdulmajid Eshmawi, Michele Nappi, Imran Ashraf	17
17	Water-Quality Prediction Based on H2O AutoML and Explainable AI Techniques 2023 ·Water ·Hamza Ahmad Madni, Muhammad Umer, Abid Ishaq, (unknown), Oumaima Saidani, Shtwai Alsubai, Monia Hamdi, Imran Ashraf	31
18	An Intelligent Dual-Axis Solar Tracking System for Remote Weather Monitoring in the Agricultural Field 2023 ·Agriculture ·(unknown), Saif Ur Rehman, Tariq Ali, (unknown), Santos Gràcia Villar, Luís Alonso Dzul López, Imran Ashraf	13
19	The Effect of Jigsaw Cooperative Learning Method on Students Performance in the Class Assessment Test (CAT): A Quasi Experimental Study 2022 ·SHILAP Revista de lepidopterología ·(unknown), Abdul Sattar Khan, (unknown), (unknown), Imran Ashraf, (unknown)	3
20	An Artificial Neural Network Model for Water Quality and Water Consumption Prediction 2022 ·Water ·Furqan Rustam, Abid Ishaq, (unknown), Isabel de la Torre Díez, Juan Luís Vidal Mazón, Carmen Lili Rodríguez, Imran Ashraf	36

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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