Furqan Rustam

5.9k total citations · 3 hit papers
134 papers, 3.5k citations indexed

About

Furqan Rustam is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Furqan Rustam has authored 134 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 37 papers in Information Systems and 20 papers in Computer Networks and Communications. Recurrent topics in Furqan Rustam's work include Sentiment Analysis and Opinion Mining (27 papers), Spam and Phishing Detection (19 papers) and Network Security and Intrusion Detection (15 papers). Furqan Rustam is often cited by papers focused on Sentiment Analysis and Opinion Mining (27 papers), Spam and Phishing Detection (19 papers) and Network Security and Intrusion Detection (15 papers). Furqan Rustam collaborates with scholars based in Pakistan, South Korea and Ireland. Furqan Rustam's co-authors include Imran Ashraf, Gyu Sang Choi, Arif Mehmood, Saleem Ullah, Ernesto Lee, Aijaz Ahmad Reshi, Vaibhav Rupapara, Isabel de la Torre Díez, Waqar Aslam and Hafeez Ur Rehman Siddiqui and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Furqan Rustam

126 papers receiving 3.3k 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.

COVID-19 Future Forecasting Using Supervised Machine Learning Models

2020 330 citations Furqan Rustam, Aijaz Ahmad Reshi et al. IEEE Access profile →
A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis

2021 200 citations Furqan Rustam, Waqar Aslam et al. profile →
Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19

2021 147 citations Muhammad Mujahid, Ernesto Lee et al. profile →

Peers

Countries citing papers authored by Furqan Rustam

Since Specialization

Citations

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

Fields of papers citing papers by Furqan Rustam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Furqan Rustam

This figure shows the co-authorship network connecting the top 25 collaborators of Furqan Rustam. A scholar is included among the top collaborators of Furqan Rustam 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 Furqan Rustam. Furqan Rustam 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	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
2	Advancing Autonomous Vehicle Safety: Machine Learning to Predict Sensor-Related Accident Severity 2024 ·IEEE Access ·(unknown), Furqan Rustam, (unknown), Anca Delia Jurcut, Gyu Sang Choi	13
3	Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence 2024 ·Sensors ·Hafeez Ur Rehman Siddiqui, (unknown), Muhammad Iqbal, (unknown), (unknown), (unknown), (unknown), Sandra Dudley, Jon Arambarri, (unknown), Furqan Rustam	4
4	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
5	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
6	Breast Cancer Prediction Using Fine Needle Aspiration Features and Upsampling with Supervised Machine Learning 2023 ·Cancers ·(unknown), Furqan Rustam, Gyu Sang Choi, Isabel de la Torre Díez, Arif Mahmood, Vivían Lipari, Carmen Lili Rodríguez, Imran Ashraf	32
7	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
8	Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms 2022 ·PeerJ Computer Science ·(unknown), Furqan Rustam, Arif Mehmood, (unknown), Imran Ashraf, Gyu Sang Choi	34
9	Pneumonia Classification from X-ray Images with Inception-V3 and Convolutional Neural Network 2022 ·Diagnostics ·Muhammad Mujahid, Furqan Rustam, (unknown), Juan Luís Vidal Mazón, Isabel de la Torre Díez, Imran Ashraf	74
10	COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset 2022 ·Healthcare ·Aijaz Ahmad Reshi, Furqan Rustam, Wajdi Aljedaani, (unknown), Abdulaziz Alhossan, Ziyad Alrabiah, Ajaz Ahmad, (unknown), Thamer A. Almangour, Musaad A. Alshammari, Ernesto Lee, Imran Ashraf	36
11	Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study 2022 ·Social Network Analysis and Mining ·Wajdi Aljedaani, (unknown), Furqan Rustam, Mohamed Wiem Mkaouer, Ali Ouni, Ilyes Jenhani	11
12	Thyroid Disease Prediction Using Selective Features and Machine Learning Techniques 2022 ·Cancers ·Rajasekhar Chaganti, Furqan Rustam, Isabel de la Torre Díez, Juan Luís Vidal Mazón, Carmen Lili Rodríguez, Imran Ashraf	65
13	Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends 2022 ·Mathematics ·Wajdi Aljedaani, (unknown), Furqan Rustam, Isabel de la Torre Díez, Imran Ashraf	8
14	Electroencephalogram Signals for Detecting Confused Students in Online Education Platforms with Probability-Based Features 2022 ·Electronics ·(unknown), Furqan Rustam, Wajdi Aljedaani, Abdullateef H. Bashiri, Imran Ashraf	15
15	A Review of Image Processing Techniques for Deepfakes 2022 ·Sensors ·(unknown), Furqan Rustam, (unknown), Juan Luís Vidal Mazón, Isabel de la Torre Díez, Imran Ashraf	40
16	Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics 2022 ·Sensors ·Muhammad Shoaib Farooq, (unknown), (unknown), Furqan Rustam, Isabel de la Torre Díez, Juan Luís Vidal Mazón, Carmen Lili Rodríguez, Imran Ashraf	8
17	Wireless Capsule Endoscopy Bleeding Images Classification Using CNN Based Model 2021 ·IEEE Access ·Furqan Rustam, Muhammad Abubakar Siddique, Hafeez Ur Rehman Siddiqui, Saleem Ullah, Arif Mehmood, Imran Ashraf, Gyu Sang Choi	78
18	Diagnosis of vertebral column pathologies using concatenated resampling with machine learning algorithms 2021 ·PeerJ Computer Science ·Aijaz Ahmad Reshi, Imran Ashraf, Furqan Rustam, (unknown), Arif Mehmood, Gyu Sang Choi	20
19	Predicting Pulsars from Imbalanced Dataset with Hybrid Resampling Approach 2021 ·Advances in Astronomy ·Ernesto Lee, Furqan Rustam, Wajdi Aljedaani, Abid Ishaq, Vaibhav Rupapara, Imran Ashraf	9
20	COVID-19 Future Forecasting Using Supervised Machine Learning Models breakdown → 2020 ·IEEE Access ·Furqan Rustam, Aijaz Ahmad Reshi, Arif Mehmood, Saleem Ullah, Byung-Won On, Waqar Aslam, Gyu Sang Choi	330

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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