Amin Hashemi

1.1k total citations
25 papers, 773 citations indexed

About

Amin Hashemi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Amin Hashemi has authored 25 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in Amin Hashemi's work include Face and Expression Recognition (11 papers), Text and Document Classification Technologies (11 papers) and Machine Learning in Bioinformatics (5 papers). Amin Hashemi is often cited by papers focused on Face and Expression Recognition (11 papers), Text and Document Classification Technologies (11 papers) and Machine Learning in Bioinformatics (5 papers). Amin Hashemi collaborates with scholars based in Iran, United States and India. Amin Hashemi's co-authors include Mohammad Bagher Dowlatshahi, Hossein Nezamabadi–pour, Marjan Kuchaki Rafsanjani, Wadee Alhalabi, Brij B. Gupta, Parham Moradi, Ehsan Momeni and Varsha Arya and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Applied Soft Computing.

In The Last Decade

Amin Hashemi

24 papers receiving 749 citations

Peers

Countries citing papers authored by Amin Hashemi

Since Specialization

Citations

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

Fields of papers citing papers by Amin Hashemi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amin Hashemi

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	How PCA helps multi-criteria decision making for feature selection: A feature fusion approach in bioinformatics and gene expression data 2025 ·Alexandria Engineering Journal ·(unknown), Amin Hashemi, Mohammad Bagher Dowlatshahi, Marjan Kuchaki Rafsanjani, Varsha Arya, Brij B. Gupta	0
2	A Review on the Application of Soft Computing Techniques in Foundation Engineering 2023 ·Ehsan Momeni, (unknown), Amin Hashemi, Mohammad Bagher Dowlatshahi	3
3	An election strategy for online streaming feature selection 2023 ·Amin Hashemi, (unknown), Mohammad Bagher Dowlatshahi	1
4	NSOFS: a non-dominated sorting-based online feature selection algorithm 2023 ·Neural Computing and Applications ·Amin Hashemi, (unknown), Mohammad Bagher Dowlatshahi	6
5	A Review on the Feasibility of Artificial Intelligence in Mechatronics 2023 ·Amin Hashemi, Mohammad Bagher Dowlatshahi	1
6	SGFS: A semi-supervised graph-based feature selection algorithm based on the PageRank algorithm 2022 ·(unknown), Mohammad Bagher Dowlatshahi, Amin Hashemi	5
7	Ant colony optimization equipped with an ensemble of heuristics through multi-criteria decision making: A case study in ensemble feature selection 2022 ·Applied Soft Computing ·Amin Hashemi, (unknown), (unknown), Mohammad Bagher Dowlatshahi	51
8	An Ensemble Of Feature Selection Algorithms Using OWA Operator 2022 ·Amin Hashemi, Mohammad Bagher Dowlatshahi	4
9	MSSL: a memetic-based sparse subspace learning algorithm for multi-label classification 2022 ·International Journal of Machine Learning and Cybernetics ·(unknown), Mohammad Bagher Dowlatshahi, Amin Hashemi	26
10	Feature selection for multi-label text data: An ensemble approach using geometric mean aggregation 2022 ·(unknown), Mohammad Bagher Dowlatshahi, Amin Hashemi	4
11	SemiACO: A semi-supervised feature selection based on ant colony optimization 2022 ·Expert Systems with Applications ·(unknown), Mohammad Bagher Dowlatshahi, Amin Hashemi	76
12	Ensemble feature selection for multi‐label text classification: An intelligent order statistics approach 2022 ·International Journal of Intelligent Systems ·(unknown), Mohammad Bagher Dowlatshahi, Amin Hashemi, Marjan Kuchaki Rafsanjani, Brij B. Gupta, Wadee Alhalabi	18
13	Online streaming feature selection based on Sugeno fuzzy integral 2022 ·Amin Hashemi, (unknown), Mohammad Bagher Dowlatshahi	7
14	Evaluation multi label feature selection for text classification using weighted borda count approach 2022 ·(unknown), Mohammad Bagher Dowlatshahi, Amin Hashemi	7
15	VMFS: A VIKOR-based multi-target feature selection 2021 ·Expert Systems with Applications ·Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi–pour	61
16	Fluid Temperature Detection Based on its Soundwith a Deep Learning Approach 2021 ·International Journal of Image Graphics and Signal Processing ·(unknown), (unknown), (unknown), Amin Hashemi, (unknown)	2
17	Ensemble of feature selection algorithms: a multi-criteria decision-making approach 2021 ·International Journal of Machine Learning and Cybernetics ·Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi–pour	83
18	MFS-MCDM: Multi-label feature selection using multi-criteria decision making 2020 ·Knowledge-Based Systems ·Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi–pour	133
19	MLCR: A Fast Multi-label Feature Selection Method Based on K-means and L2-norm 2020 ·Amin Hashemi, Mohammad Bagher Dowlatshahi	26
20	MGFS: A multi-label graph-based feature selection algorithm via PageRank centrality 2019 ·Expert Systems with Applications ·Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi–pour	106

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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