Niusha Shafiabady

769 total citations
39 papers, 555 citations indexed

About

Niusha Shafiabady is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Niusha Shafiabady has authored 39 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Electrical and Electronic Engineering and 4 papers in Automotive Engineering. Recurrent topics in Niusha Shafiabady's work include Energy Load and Power Forecasting (3 papers), Electric and Hybrid Vehicle Technologies (3 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Niusha Shafiabady is often cited by papers focused on Energy Load and Power Forecasting (3 papers), Electric and Hybrid Vehicle Technologies (3 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Niusha Shafiabady collaborates with scholars based in Australia, Malaysia and China. Niusha Shafiabady's co-authors include Dino Isa, Lam Hong Lee, Mahidzal Dahari, Binayak Bhandari, Elsa Dent, Rachel C. Ambagtsheer, Mingxuan Wu, John Beilby, Ahmad Khairi Abdul Wahab and Raj Rajkumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Niusha Shafiabady

32 papers receiving 537 citations

Peers

Niusha Shafiabady
K. Mohana Sundaram India
Ahmed Alzahrani Saudi Arabia
P. Sivakumar India
Asad Mujeeb China
Hadi Suyono Indonesia
Olcay Ersel Canyurt Türkiye
Weiyu Wang China
Desen Kırlı United Kingdom
Pawan Kumar India
K. Mohana Sundaram India
Niusha Shafiabady
Citations per year, relative to Niusha Shafiabady Niusha Shafiabady (= 1×) peers K. Mohana Sundaram

Countries citing papers authored by Niusha Shafiabady

Since Specialization
Citations

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

Fields of papers citing papers by Niusha Shafiabady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niusha Shafiabady

This figure shows the co-authorship network connecting the top 25 collaborators of Niusha Shafiabady. A scholar is included among the top collaborators of Niusha Shafiabady 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 Niusha Shafiabady. Niusha Shafiabady 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.
Azam, Sami, Asif Karim, Sidratul Montaha, et al.. (2025). ECgMLP: A novel gated MLP model for enhanced endometrial cancer diagnosis. SHILAP Revista de lepidopterología. 7. 100181–100181. 8 indexed citations
2.
Shafiabady, Niusha, et al.. (2025). Predicting Postgraduate Student Engagement Using Artificial Intelligence (AI). IEEE Transactions on Artificial Intelligence. 6(9). 2464–2475.
3.
Shafiabady, Niusha, et al.. (2025). A Systematic Review on Quantum Machine Learning Applications in Classification. IEEE Transactions on Artificial Intelligence. 7(1). 4–21.
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Wu, Mingxuan, Huan Zhang, Jie Liang, et al.. (2025). Bubble-Wall Plot as a Dynamic Analytical Processing Visualization Tool for Developing Visual Warning Systems: a Case Study. PLoS ONE. 20(7). e0321077–e0321077.
7.
Karim, Asif, et al.. (2025). Resource constraint crop damage classification using depth channel shuffling. Engineering Applications of Artificial Intelligence. 144. 110117–110117. 3 indexed citations
8.
Shafiabady, Niusha, et al.. (2025). Application of CNN and MLP models for structural health monitoring: A case study on Saigon Bridge. Journal of low frequency noise, vibration and active control. 44(3). 1825–1854. 1 indexed citations
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Zhou, Jianlong, et al.. (2024). Reliable and Faithful Generative Explainers for Graph Neural Networks. SHILAP Revista de lepidopterología. 6(4). 2913–2929. 1 indexed citations
11.
Wu, Mingxuan, Niusha Shafiabady, Huan Zhang, et al.. (2024). Comparative study of ten machine learning algorithms for short-term forecasting in gas warning systems. Scientific Reports. 14(1). 21969–21969. 5 indexed citations
12.
Shafiabady, Niusha, et al.. (2024). eXplainable Artificial Intelligence (XAI) for improving organisational regility. PLoS ONE. 19(4). e0301429–e0301429. 9 indexed citations
13.
Shafiabady, Niusha, et al.. (2023). Using Artificial Intelligence (AI) to predict organizational agility. PLoS ONE. 18(5). e0283066–e0283066. 45 indexed citations
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Shafiabady, Niusha, et al.. (2023). Identifying presence of cybersickness symptoms using AI-based predictive learning algorithms. Virtual Reality. 27(4). 3613–3620. 5 indexed citations
16.
Wu, Mingxuan, Yongwen Wang, Niusha Shafiabady, et al.. (2023). Using multi-focus group method as an effective tool for eliciting business system requirements: Verified by a case study. PLoS ONE. 18(3). e0281603–e0281603. 6 indexed citations
17.
Bhandari, Binayak, et al.. (2023). Implementation of transformer-based deep learning architecture for the development of surface roughness classifier using sound and cutting force signals. Neural Computing and Applications. 35(18). 13275–13292. 16 indexed citations
18.
Shafiabady, Niusha, et al.. (2022). Evolving Hybrid Partial Genetic Algorithm Classification Model for Cost-effective Frailty Screening: Investigative Study. JMIR Aging. 5(4). e38464–e38464. 7 indexed citations
19.
Ambagtsheer, Rachel C., et al.. (2020). The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set. International Journal of Medical Informatics. 136. 104094–104094. 54 indexed citations
20.

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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