Hossein Sadr

564 total citations
20 papers, 392 citations indexed

About

Hossein Sadr is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Hossein Sadr has authored 20 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Signal Processing and 4 papers in Computer Networks and Communications. Recurrent topics in Hossein Sadr's work include Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (6 papers) and Text and Document Classification Technologies (5 papers). Hossein Sadr is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (6 papers) and Text and Document Classification Technologies (5 papers). Hossein Sadr collaborates with scholars based in Iran. Hossein Sadr's co-authors include Mir Mohsen Pedram, Mohammad Teshnehlab, S. A. Edalatpanah, Seyed Abolghasem Mirroshandel, S. Rostami and Zahra Dalili Kajan and has published in prestigious journals such as Scientific Reports, IEEE Access and Multimedia Tools and Applications.

In The Last Decade

Hossein Sadr

18 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hossein Sadr Iran 11 273 70 61 58 42 20 392
Elizabeth Sherly India 13 345 1.3× 31 0.4× 55 0.9× 81 1.4× 30 0.7× 52 507
Zag ElSayed United States 10 130 0.5× 70 1.0× 32 0.5× 31 0.5× 103 2.5× 37 298
Abdolhossein Sarrafzadeh New Zealand 14 144 0.5× 79 1.1× 69 1.1× 103 1.8× 67 1.6× 49 409
Loukas Ilias Greece 10 166 0.6× 35 0.5× 60 1.0× 23 0.4× 55 1.3× 24 362
Tanoy Debnath Bangladesh 7 222 0.8× 86 1.2× 74 1.2× 131 2.3× 10 0.2× 12 561
Muhammad Abul Hassan Pakistan 11 136 0.5× 110 1.6× 95 1.6× 29 0.5× 27 0.6× 26 395
Nabil M. Hewahi Bahrain 9 134 0.5× 53 0.8× 37 0.6× 49 0.8× 62 1.5× 48 267
Dipti D. Patil India 9 60 0.2× 55 0.8× 36 0.6× 35 0.6× 17 0.4× 55 297
Fang Zhou China 10 119 0.4× 72 1.0× 88 1.4× 51 0.9× 10 0.2× 40 308
Pradeep Bedi India 13 61 0.2× 116 1.7× 73 1.2× 32 0.6× 20 0.5× 39 348

Countries citing papers authored by Hossein Sadr

Since Specialization
Citations

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

Fields of papers citing papers by Hossein Sadr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hossein Sadr

This figure shows the co-authorship network connecting the top 25 collaborators of Hossein Sadr. A scholar is included among the top collaborators of Hossein Sadr 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 Hossein Sadr. Hossein Sadr 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
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Sadr, Hossein, et al.. (2023). An energy aware resource allocation based on combination of CNN and GRU for virtual machine selection. Multimedia Tools and Applications. 83(9). 25769–25796. 32 indexed citations
4.
Sadr, Hossein, Mir Mohsen Pedram, & Mohammad Teshnehlab. (2022). Efficient Method Based on Combination of Deep Learning Models for Sentiment Analysis of Text. 19(1). 19–38. 1 indexed citations
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Sadr, Hossein, et al.. (2022). Contextualized Multidimensional Personality Recognition using Combination of Deep Neural Network and Ensemble Learning. Neural Processing Letters. 54(5). 3811–3828. 29 indexed citations
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Pedram, Mir Mohsen, et al.. (2022). EEG Feature Extraction and Data Augmentation in Emotion Recognition. Computational Intelligence and Neuroscience. 2022. 1–16. 44 indexed citations
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Sadr, Hossein, Mir Mohsen Pedram, & Mohammad Teshnehlab. (2021). Convolutional Neural Network Equipped with Attention Mechanism and Transfer Learning for Enhancing Performance of Sentiment Analysis. 9(2). 141–151. 5 indexed citations
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Sadr, Hossein, et al.. (2021). CSCNN: Cost-Sensitive Convolutional Neural Network for Encrypted Traffic Classification. Neural Processing Letters. 53(5). 3497–3523. 33 indexed citations
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Sadr, Hossein, Mir Mohsen Pedram, & Mohammad Teshnehlab. (2020). Multi-View Deep Network: A Deep Model Based on Learning Features From Heterogeneous Neural Networks for Sentiment Analysis. IEEE Access. 8. 86984–86997. 70 indexed citations
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Sadr, Hossein, et al.. (2020). An Efficient Deep Learning Method for Encrypted Traffic Classification on the Web. 209–216. 13 indexed citations
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Sadr, Hossein, et al.. (2019). Improving the Performance of Text Sentiment Analysis using Deep Convolutional Neural Network Integrated with Hierarchical Attention Layer. 11(3). 57–67. 5 indexed citations
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Sadr, Hossein, et al.. (2019). Exploring the Efficiency of Topic-Based Models in Computing Semantic Relatedness of Geographic Terms. 2(2). 23–35. 4 indexed citations
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Sadr, Hossein, Mir Mohsen Pedram, & Mohammad Teshnehlab. (2019). A Robust Sentiment Analysis Method Based on Sequential Combination of Convolutional and Recursive Neural Networks. Neural Processing Letters. 50(3). 2745–2761. 66 indexed citations
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Sadr, Hossein, et al.. (2017). Categorization of Persian Detached Handwritten Letters Using Intelligent Combinations of Classifiers. 8(4). 13–21. 2 indexed citations
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Mirroshandel, Seyed Abolghasem, et al.. (2015). A Survey of Semantic Relatedness Measures. 3 indexed citations
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Mirroshandel, Seyed Abolghasem, et al.. (2015). The Significance of Semantic Relatedness and Similarity measures in Geographic Information Science. 3 indexed citations
20.
Sadr, Hossein, et al.. (2015). Improving Weak Queries using Local Cluster Analysis as a Preliminary Framework. Indian Journal of Science and Technology. 8(15). 14 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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