Soheila Molaei

420 total citations
19 papers, 236 citations indexed

About

Soheila Molaei is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Health Information Management. According to data from OpenAlex, Soheila Molaei has authored 19 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Statistical and Nonlinear Physics and 4 papers in Health Information Management. Recurrent topics in Soheila Molaei's work include Complex Network Analysis Techniques (6 papers), Advanced Graph Neural Networks (6 papers) and Topic Modeling (5 papers). Soheila Molaei is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Advanced Graph Neural Networks (6 papers) and Topic Modeling (5 papers). Soheila Molaei collaborates with scholars based in Iran, United Kingdom and Australia. Soheila Molaei's co-authors include Hadi Zare, Hadi Veisi, Mahdi Jalili, Mostafa Salehi, Vinod Kumar Chauhan, Mohammad Reza Keyvanpour, Shirui Pan, David A. Clifton, Jian Zhou and Ping Lü and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Soheila Molaei

19 papers receiving 228 citations

Peers

Countries citing papers authored by Soheila Molaei

Since Specialization

Citations

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

Fields of papers citing papers by Soheila Molaei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soheila Molaei

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

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks 2024 ·PubMed ·Soheila Molaei, (unknown), (unknown), (unknown), Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton	1
2	A brief review of hypernetworks in deep learning 2024 ·Artificial Intelligence Review ·Vinod Kumar Chauhan, Jian Zhou, Ping Lü, Soheila Molaei, David A. Clifton	39
3	Temporal dynamics unleashed: Elevating variational graph attention 2024 ·Knowledge-Based Systems ·Soheila Molaei, (unknown), (unknown), Vinod Kumar Chauhan, Hadi Zare, Tingting Zhu, Shirui Pan, David A. Clifton	2
4	Continuous patient state attention model for addressing irregularity in electronic health records 2024 ·BMC Medical Informatics and Decision Making ·Vinod Kumar Chauhan, (unknown), (unknown), (unknown), Soheila Molaei, David A. Clifton	4
5	Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare 2024 ·npj Digital Medicine ·(unknown), Soheila Molaei, (unknown), Fenglin Liu, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton	3
6	Improving Diagnostics with Deep Forest Applied to Electronic Health Records 2023 ·Sensors ·(unknown), (unknown), Soheila Molaei, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton	3
7	DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks 2023 ·Neural Networks ·(unknown), Soheila Molaei, Hadi Zare, Shirui Pan, Mahdi Jalili, Tingting Zhu, David A. Clifton	2
8	A Brief Review of Hypernetworks in Deep Learning 2023 ·arXiv (Cornell University) ·Vinod Kumar Chauhan, Jiandong Zhou, Ping Lü, Soheila Molaei, David A. Clifton	2
9	GCNFusion: An efficient graph convolutional network based model for information diffusion 2022 ·Expert Systems with Applications ·(unknown), Soheila Molaei, Shirui Pan, Samira Abbasgholizadeh Rahimi	14
10	Graph representation learning based on deep generative gaussian mixture models 2022 ·Neurocomputing ·(unknown), Soheila Molaei, Hadi Zare, David A. Clifton, Shirui Pan	9
11	Learning Graph Representations With Maximal Cliques 2021 ·IEEE Transactions on Neural Networks and Learning Systems ·Soheila Molaei, (unknown), Hadi Zare, Mahdi Jalili, Shirui Pan	13
12	Collaborative Deep Forest Learning for Recommender Systems 2021 ·IEEE Access ·Soheila Molaei, (unknown), Hadi Zare, Mahdi Jalili	14
13	Deep node clustering based on mutual information maximization 2021 ·Neurocomputing ·Soheila Molaei, (unknown), Hadi Zare, Mahdi Jalili	11
14	Classification of audio codecs with variable bit-rates using deep-learning methods 2020 ·Digital Signal Processing ·(unknown), Soheila Molaei, Mehdi Teimouri, Hadi Zare	6
15	Identifying influential nodes in heterogeneous networks 2020 ·Expert Systems with Applications ·Soheila Molaei, Reza Farahbakhsh, Mostafa Salehi, Noël Crespi	26
16	Predicting the spread of influenza epidemics by analyzing twitter messages 2019 ·Health and Technology ·Soheila Molaei, Mohammad Khansari, Hadi Veisi, Mostafa Salehi	12
17	Deep learning approach on information diffusion in heterogeneous networks 2019 ·Knowledge-Based Systems ·Soheila Molaei, Hadi Zare, Hadi Veisi	40
18	Information Spread and Topic Diffusion in Heterogeneous Information Networks 2018 ·Scientific Reports ·Soheila Molaei, (unknown), Mostafa Salehi, Mahdi Jalili	15
19	An analytical review for event prediction system on time series 2015 ·Soheila Molaei, Mohammad Reza Keyvanpour	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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