Shayan Hassantabar

527 total citations
6 papers, 311 citations indexed

About

Shayan Hassantabar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Shayan Hassantabar has authored 6 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computational Mechanics. Recurrent topics in Shayan Hassantabar's work include Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Data Classification (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Shayan Hassantabar is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Data Classification (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Shayan Hassantabar collaborates with scholars based in United States, Iran and Canada. Shayan Hassantabar's co-authors include Mohsen Ahmadi, Abbas Sharifi, Niraj K. Jha, Hongxu Yin, Gelareh Momen, K. Maghsoudi, Reza Jafari, Amir Azimi Yancheshme and Xiaoliang Dai and has published in prestigious journals such as Chemical Engineering Journal, BioMed Research International and Chaos Solitons & Fractals.

In The Last Decade

Shayan Hassantabar

6 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shayan Hassantabar United States	6	168	139	62	29	27	6	311
Yawen Wu United States	11	122 0.7×	89 0.6×	94 1.5×	10 0.3×	12 0.4×	31	337
Philip Chikontwe South Korea	12	84 0.5×	152 1.1×	120 1.9×	15 0.5×	14 0.5×	26	320
Catalina Gómez United States	8	65 0.4×	106 0.8×	21 0.3×	21 0.7×	14 0.5×	19	333
Yunlu Yan China	4	114 0.7×	60 0.4×	82 1.3×	25 0.9×	3 0.1×	6	213
Zhenrong Shen China	5	78 0.5×	65 0.5×	100 1.6×	19 0.7×	21 0.8×	20	235
Worku Jifara China	5	54 0.3×	43 0.3×	132 2.1×	12 0.4×	9 0.3×	7	212
Ritwik Kumar United States	11	51 0.3×	55 0.4×	196 3.2×	6 0.2×	4 0.1×	16	307
Jacek Kawa Poland	11	52 0.3×	72 0.5×	86 1.4×	38 1.3×	15 0.6×	24	276
Tasmi Tamanna Australia	4	302 1.8×	214 1.5×	50 0.8×	18 0.6×	48 1.8×	5	356

Countries citing papers authored by Shayan Hassantabar

Since Specialization

Citations

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

Fields of papers citing papers by Shayan Hassantabar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shayan Hassantabar

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

All Works

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6 of 6 papers shown

1.

Hassantabar, Shayan, et al.. (2022). MHDeep: Mental Health Disorder Detection System Based on Wearable Sensors and Artificial Neural Networks. ACM Transactions on Embedded Computing Systems. 21(6). 1–22. 32 indexed citations

2.

Hassantabar, Shayan, et al.. (2022). TUTOR: Training Neural Networks Using Decision Rules as Model Priors. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(2). 483–496. 6 indexed citations

3.

Hassantabar, Shayan, Xiaoliang Dai, & Niraj K. Jha. (2022). CURIOUS: Efficient Neural Architecture Search Based on a Performance Predictor and Evolutionary Search. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(11). 4975–4990. 8 indexed citations

4.

Ahmadi, Mohsen, et al.. (2021). QAIS‐DSNN: Tumor Area Segmentation of MRI Image with Optimized Quantum Matched‐Filter Technique and Deep Spiking Neural Network. BioMed Research International. 2021(1). 6653879–6653879. 49 indexed citations

5.

Hassantabar, Shayan, Mohsen Ahmadi, & Abbas Sharifi. (2020). Diagnosis and detection of infected tissue of COVID-19 patients based on lung x-ray image using convolutional neural network approaches. Chaos Solitons & Fractals. 140. 110170–110170. 189 indexed citations

6.

Yancheshme, Amir Azimi, et al.. (2020). Integration of experimental analysis and machine learning to predict drop behavior on superhydrophobic surfaces. Chemical Engineering Journal. 417. 127898–127898. 27 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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