Zenun Kastrati

2.5k total citations · 1 hit paper
48 papers, 1.4k citations indexed

About

Zenun Kastrati is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Zenun Kastrati has authored 48 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 10 papers in Information Systems and 10 papers in Computer Science Applications. Recurrent topics in Zenun Kastrati's work include Sentiment Analysis and Opinion Mining (16 papers), Topic Modeling (12 papers) and Online Learning and Analytics (10 papers). Zenun Kastrati is often cited by papers focused on Sentiment Analysis and Opinion Mining (16 papers), Topic Modeling (12 papers) and Online Learning and Analytics (10 papers). Zenun Kastrati collaborates with scholars based in Sweden, Norway and Pakistan. Zenun Kastrati's co-authors include Ali Shariq Imran, Sher Muhammad Daudpota, Fisnik Dalipi, Rakhi Batra, Arianit Kurti, Mudasir Ahmad Wani, Subhan Ali, Krenare Pireva, Muhammad Sajjad and Zulfiqar Ahmad Khan and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Zenun Kastrati

45 papers receiving 1.3k citations

Hit Papers

Cross-Cultural Polarity and Emotion Detection Using Senti... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zenun Kastrati Sweden 18 767 257 218 187 94 48 1.4k
Ioannis Hatzilygeroudis Greece 21 872 1.1× 250 1.0× 343 1.6× 78 0.4× 71 0.8× 142 1.6k
Kashif Ahmad Qatar 19 562 0.7× 96 0.4× 176 0.8× 168 0.9× 139 1.5× 62 1.4k
Adhistya Erna Permanasari Indonesia 17 488 0.6× 100 0.4× 380 1.7× 97 0.5× 88 0.9× 158 1.2k
Ali Shariq Imran Norway 25 1.1k 1.4× 318 1.2× 321 1.5× 197 1.1× 137 1.5× 115 2.3k
Mohammad AL-Smadi Jordan 22 1.9k 2.5× 75 0.3× 371 1.7× 209 1.1× 156 1.7× 104 2.6k
Prashant Doshi United States 20 883 1.2× 156 0.6× 504 2.3× 172 0.9× 306 3.3× 113 2.0k
Malak Abdullah Jordan 14 670 0.9× 56 0.2× 191 0.9× 146 0.8× 71 0.8× 50 1.2k
Fahima Hajjej Saudi Arabia 19 357 0.5× 89 0.3× 382 1.8× 100 0.5× 312 3.3× 58 1.3k
Ergun Gide Australia 12 268 0.3× 106 0.4× 158 0.7× 71 0.4× 47 0.5× 78 1.0k
Lukito Edi Nugroho Indonesia 16 300 0.4× 71 0.3× 298 1.4× 86 0.5× 92 1.0× 184 1.1k

Countries citing papers authored by Zenun Kastrati

Since Specialization
Citations

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

Fields of papers citing papers by Zenun Kastrati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zenun Kastrati

This figure shows the co-authorship network connecting the top 25 collaborators of Zenun Kastrati. A scholar is included among the top collaborators of Zenun Kastrati 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 Zenun Kastrati. Zenun Kastrati 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.
Daudpota, Sher Muhammad, et al.. (2025). Aspect-based sentiment analysis for software requirements elicitation using fine-tuned Bidirectional Encoder Representations from Transformers and Explainable Artificial Intelligence. Engineering Applications of Artificial Intelligence. 151. 110632–110632. 2 indexed citations
2.
Kastrati, Zenun, et al.. (2025). Enhancing social media hate speech detection in low-resource languages using transformers and explainable AI. Social Network Analysis and Mining. 15(1).
3.
Imran, Ali Shariq, et al.. (2024). Enhancing wrist abnormality detection with YOLO: Analysis of state-of-the-art single-stage detection models. Biomedical Signal Processing and Control. 93. 106144–106144. 19 indexed citations
4.
Kastrati, Zenun, et al.. (2024). Leveraging distant supervision and deep learning for twitter sentiment and emotion classification. Journal of Intelligent Information Systems. 62(4). 1045–1070. 10 indexed citations
5.
Daudpota, Sher Muhammad, et al.. (2023). Improving news headline text generation quality through frequent POS-Tag patterns analysis. Engineering Applications of Artificial Intelligence. 125. 106718–106718. 8 indexed citations
6.
Kastrati, Zenun, et al.. (2023). Soaring Energy Prices: Understanding Public Engagement on Twitter Using Sentiment Analysis and Topic Modeling With Transformers. IEEE Access. 11. 26541–26553. 15 indexed citations
7.
Ali, Subhan, et al.. (2023). The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review. Computers in Biology and Medicine. 166. 107555–107555. 146 indexed citations
8.
Imran, Ali Shariq, et al.. (2023). SentiUrdu-1M: A large-scale tweet dataset for Urdu text sentiment analysis using weakly supervised learning. PLoS ONE. 18(8). e0290779–e0290779. 3 indexed citations
9.
Imran, Ali Shariq, et al.. (2023). Classifying European Court of Human Rights Cases Using Transformer-Based Techniques. IEEE Access. 11. 55664–55676. 3 indexed citations
10.
Imran, Ali Shariq, et al.. (2023). IoT-based supply chain management: A systematic literature review. Internet of Things. 24. 100982–100982. 58 indexed citations
11.
Imran, Ali Shariq, et al.. (2023). Multimodal Sentiment Analysis for Personality Prediction. 1. 55–60.
12.
Wani, Mudasir Ahmad, et al.. (2022). Drug Adverse Event Detection Using Text-Based Convolutional Neural Networks (TextCNN) Technique. Electronics. 11(20). 3336–3336. 5 indexed citations
13.
Imran, Ali Shariq, et al.. (2022). A Systematic Literature Review on Text Generation Using Deep Neural Network Models. IEEE Access. 10. 53490–53503. 28 indexed citations
14.
Dalipi, Fisnik, et al.. (2022). Going digital as a result of COVID-19: Insights from students’ and teachers’ impressions in a Swedish university. International Journal of Educational Research Open. 3. 100136–100136. 15 indexed citations
15.
Imran, Ali Shariq, et al.. (2021). The Impact of Translating Resource-Rich Datasets to Low-Resource Languages Through Multi-Lingual Text Processing. IEEE Access. 9. 124478–124490. 25 indexed citations
16.
Kastrati, Zenun, Fisnik Dalipi, Ali Shariq Imran, Krenare Pireva, & Mudasir Ahmad Wani. (2021). Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study. Applied Sciences. 11(9). 3986–3986. 126 indexed citations
17.
Batra, Rakhi, et al.. (2021). Evaluating Polarity Trend Amidst the Coronavirus Crisis in Peoples’ Attitudes toward the Vaccination Drive. Sustainability. 13(10). 5344–5344. 15 indexed citations
18.
19.
Imran, Ali Shariq, Sher Muhammad Daudpota, Zenun Kastrati, & Rakhi Batra. (2020). Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets. IEEE Access. 8. 181074–181090. 216 indexed citations breakdown →
20.
Kastrati, Zenun, Ali Shariq Imran, & Arianit Kurti. (2019). Integrating word embeddings and document topics with deep learning in a video classification framework. Pattern Recognition Letters. 128. 85–92. 24 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026