Saleem Ullah

4.5k total citations · 4 hit papers
71 papers, 2.9k citations indexed

About

Saleem Ullah is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Saleem Ullah has authored 71 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 17 papers in Information Systems and 9 papers in Computer Networks and Communications. Recurrent topics in Saleem Ullah's work include Spam and Phishing Detection (13 papers), Sentiment Analysis and Opinion Mining (11 papers) and Text and Document Classification Technologies (5 papers). Saleem Ullah is often cited by papers focused on Spam and Phishing Detection (13 papers), Sentiment Analysis and Opinion Mining (11 papers) and Text and Document Classification Technologies (5 papers). Saleem Ullah collaborates with scholars based in Pakistan, South Korea and China. Saleem Ullah's co-authors include Arif Mehmood, Gyu Sang Choi, Muhammad Umer, Furqan Rustam, Saima Sadiq, Imran Ashraf, Aijaz Ahmad Reshi, Byung-Won On, Vaibhav Rupapara and Seyedali Mirjalili and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Saleem Ullah

67 papers receiving 2.7k 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 →
Improving the Prediction of Heart Failure Patients’ Survival Using SMOTE and Effective Data Mining Techniques

2021 245 citations Abid Ishaq, Saima Sadiq et al. IEEE Access profile →
Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM)

2020 198 citations Muhammad Umer, Zainab Imtiaz et al. IEEE Access profile →
Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19

2021 147 citations Furqan Rustam, Saleem Ullah et al. Applied Sciences profile →

Peers

Countries citing papers authored by Saleem Ullah

Since Specialization

Citations

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

Fields of papers citing papers by Saleem Ullah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saleem Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Saleem Ullah. A scholar is included among the top collaborators of Saleem Ullah 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 Saleem Ullah. Saleem Ullah 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

#	Work	Indexed citations
1	Vehicle type classification based on acoustic signals using LT-MFCC 2025 ·Applied Acoustics ·(unknown), (unknown), (unknown), Saleem Ullah	0
2	Decoding Brain Signals from Rapid-Event EEG for Visual Analysis Using Deep Learning 2024 ·Sensors ·(unknown), (unknown), (unknown), (unknown), Isabel de la Torre Díez, Hafeez Ur Rehman Siddiqui, Saleem Ullah	2
3	An Optimized Approach for Detection and Classification of Spam Email’s Using Ensemble Methods 2024 ·Wireless Personal Communications ·(unknown), (unknown), Saleem Ullah, (unknown), (unknown)	5
4	IoT networks attacks detection using multi-novel features and extra tree random - voting ensemble classifier (ER-VEC) 2023 ·Journal of Ambient Intelligence and Humanized Computing ·(unknown), Muhammad Faheem Mushtaq, Urooj Akram, Furqan Rustam, Ameer Hamza, Vaibhav Rupapara, Saleem Ullah	9
5	Industry 4.0 technologies and their applications in fighting COVID-19 pandemic using deep learning techniques 2022 ·Computers in Biology and Medicine ·Muhammad Ahmad, Saima Sadiq, Ala’ Abdulmajid Eshmawi, Ala Saleh Alluhaidan, Muhammad Umer, Saleem Ullah, Michele Nappi	25
6	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
7	RFCNN: Traffic Accident Severity Prediction Based on Decision Level Fusion of Machine and Deep Learning Model 2021 ·IEEE Access ·(unknown), Muhammad Umer, Saima Sadiq, Abid Ishaq, Saleem Ullah, Hamza Ahmad Madni, Carmen Bisogni	64
8	Classification ofβ-Thalassemia Carriers From Red Blood Cell Indices Using Ensemble Classifier 2021 ·IEEE Access ·Saima Sadiq, (unknown), (unknown), Saleem Ullah, Waqar Aslam, Arif Mehmood, Gyu Sang Choi, Byung-Won On	21
9	IoT-Based Smart Shopping Cart Using Radio Frequency Identification 2020 ·IEEE Access ·Mobeen Shahroz, Muhammad Faheem Mushtaq, Maqsood Ahmad, Saleem Ullah, Arif Mehmood, Gyu Sang Choi	70
10	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
11	Classification of Shopify App User Reviews Using Novel Multi Text Features 2020 ·IEEE Access ·Furqan Rustam, Arif Mehmood, Muhammad Ahmad, Saleem Ullah, Dost Muhammad Khan, Gyu Sang Choi	57
12	Sensor-Based Human Activity Recognition Using Deep Stacked Multilayered Perceptron Model 2020 ·IEEE Access ·Furqan Rustam, Aijaz Ahmad Reshi, Imran Ashraf, Arif Mehmood, Saleem Ullah, Dost Muhammad Khan, Gyu Sang Choi	57
13	GBSVM: Sentiment Classification from Unstructured Reviews Using Ensemble Classifier 2020 ·Applied Sciences ·(unknown), Imran Ashraf, Arif Mehmood, Saleem Ullah, Maqsood Ahmad, Gyu Sang Choi	55
14	Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM) breakdown → 2020 ·IEEE Access ·Muhammad Umer, Zainab Imtiaz, Saleem Ullah, Arif Mehmood, Gyu Sang Choi, Byung-Won On	198
15	Duplicate Questions Pair Detection Using Siamese MaLSTM 2020 ·IEEE Access ·Zainab Imtiaz, Muhammad Umer, Muhammad Ahmad, Saleem Ullah, Gyu Sang Choi, Arif Mehmood	39
16	RUTUT: Roman Urdu to Urdu Translator Based on Character Substitution Rules and Unicode Mapping 2020 ·IEEE Access ·Mobeen Shahroz, Muhammad Faheem Mushtaq, Arif Mehmood, Saleem Ullah, Gyu Sang Choi	9
17	A Novel Stacked CNN for Malarial Parasite Detection in Thin Blood Smear Images 2020 ·IEEE Access ·Muhammad Umer, Saima Sadiq, Muhammad Ahmad, Saleem Ullah, Gyu Sang Choi, Arif Mehmood	75
18	Sentiment analysis of tweets using a unified convolutional neural network‐long short‐term memory network model 2020 ·Computational Intelligence ·Muhammad Umer, Imran Ashraf, Arif Mehmood, Saru Kumari, Saleem Ullah, Gyu Sang Choi	65
19	Heartbeat Sound Signal Classification Using Deep Learning 2019 ·Sensors ·(unknown), Arif Mehmood, Saleem Ullah, Maqsood Ahmad, Gyu Sang Choi, Byung-Won On	121
20	Tweets Classification on the Base of Sentiments for US Airline Companies 2019 ·Entropy ·Furqan Rustam, Imran Ashraf, Arif Mehmood, Saleem Ullah, Gyu Sang Choi	125

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.

Explore authors with similar magnitude of impact