Usman Naseem

3.0k total citations · 1 hit paper
117 papers, 1.7k citations indexed

About

Usman Naseem is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Usman Naseem has authored 117 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Artificial Intelligence, 14 papers in Sociology and Political Science and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Usman Naseem's work include Topic Modeling (37 papers), Sentiment Analysis and Opinion Mining (19 papers) and Natural Language Processing Techniques (18 papers). Usman Naseem is often cited by papers focused on Topic Modeling (37 papers), Sentiment Analysis and Opinion Mining (19 papers) and Natural Language Processing Techniques (18 papers). Usman Naseem collaborates with scholars based in Australia, United States and China. Usman Naseem's co-authors include Imran Razzak, Matloob Khushi, Jinman Kim, Peter Eklund, Katarzyna Musiał, Muhammad Imran, Shah Khalid Khan, Adam G. Dunn, Atika Qazi and Surendrabikram Thapa and has published in prestigious journals such as PLoS ONE, IEEE Access and BMC Bioinformatics.

In The Last Decade

Usman Naseem

96 papers receiving 1.6k citations

Hit Papers

COVIDSenti: A Large-Scale Benchmark Twitter Data Set for ... 2021 2026 2022 2024 2021 50 100 150 200
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.

  1. COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis
    2021 228 citations Usman Naseem, Imran Razzak et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Usman Naseem Australia 21 990 294 264 171 117 117 1.7k
Tianyong Hao China 22 743 0.8× 118 0.4× 246 0.9× 49 0.3× 120 1.0× 124 1.7k
Vivek K. Singh United States 22 708 0.7× 490 1.7× 350 1.3× 289 1.7× 111 0.9× 119 1.9k
Yixuan Li China 24 535 0.5× 224 0.8× 45 0.2× 135 0.8× 65 0.6× 91 1.5k
Raj Gururajan Australia 20 499 0.5× 68 0.2× 173 0.7× 74 0.4× 78 0.7× 152 1.8k
Mohammad AL-Smadi Jordan 22 1.9k 2.0× 209 0.7× 371 1.4× 37 0.2× 78 0.7× 104 2.6k
Hamed Jelodar China 12 767 0.8× 398 1.4× 313 1.2× 79 0.5× 20 0.2× 27 1.7k
Przemysław Kazienko Poland 23 791 0.8× 318 1.1× 439 1.7× 108 0.6× 25 0.2× 117 2.1k
Andrea Madotto Hong Kong 17 1.6k 1.6× 134 0.5× 214 0.8× 106 0.6× 24 0.2× 42 2.4k
Talal Rahwan United Kingdom 23 423 0.4× 193 0.7× 112 0.4× 92 0.5× 35 0.3× 93 2.0k

Countries citing papers authored by Usman Naseem

Since Specialization
Citations

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

Fields of papers citing papers by Usman Naseem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Usman Naseem

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

All Works

20 of 20 papers shown
1.
Alhothali, Areej, et al.. (2025). Enhancing textual textbook question answering with large language models and retrieval augmented generation. Pattern Recognition. 162. 111332–111332. 7 indexed citations
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Shetty, Ashalatha, Amin Beheshti, Mark Dras, & Usman Naseem. (2025). VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare. 22954–22974.
4.
Kamal, Md. Sarwar, et al.. (2025). Explainable Medical Image Captioning. Charles Sturt University Research Output (CRO). 2253–2261.
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Naseem, Usman, et al.. (2024). A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering. ArXiv.org. 13–17. 1 indexed citations
8.
Thapa, Surendrabikram, et al.. (2024). Navigating the Web of Disinformation and Misinformation: Large Language Models as Double-Edged Swords. IEEE Access. 13. 169262–169282. 13 indexed citations
9.
Naseem, Usman, et al.. (2023). Debunking Biases in Attention. 141–150. 1 indexed citations
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Rashid, Junaid, Jungeun Kim, Amir Hussain, & Usman Naseem. (2023). WETM: A word embedding-based topic model with modified collapsed Gibbs sampling for short text. Pattern Recognition Letters. 172. 158–164. 3 indexed citations
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Thapa, Surendrabikram, et al.. (2023). Assessing Political Inclination of Bangla Language Models. 62–71. 2 indexed citations
15.
Awan, Mazhar Javed, Usman Naseem, Dilovan Asaad Zebari, et al.. (2023). Artificial Intelligence Based Sentence Level Sentiment Analysis of COVID-19. Computer Systems Science and Engineering. 47(1). 791–807. 7 indexed citations
16.
Ali, Mansoor, et al.. (2023). Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review. BMC Bioinformatics. 24(1). 401–401. 12 indexed citations
17.
Thapa, Surendrabikram, et al.. (2022). A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict. 1–6. 8 indexed citations
18.
Naseem, Usman, et al.. (2022). Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model. Brunel University Research Archive (BURA) (Brunel University London). 22–31. 16 indexed citations
19.
Das, Kousik, Sovan Samanta, Shah Khalid Khan, Usman Naseem, & Kajal De. (2020). A Study on Discrete Mathematics: Sum Distance in Neutrosophic Graphs with Application. UNM’s Digital Repository (University of New Mexico). 35(1). 13. 1 indexed citations
20.
Khan, Shah Khalid, et al.. (2020). UAV-aided 5G Network in Suburban, Urban, Dense Urban, and High-rise Urban Environments. RMIT Research Repository (RMIT University Library). 1–4. 28 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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