Daniel Takabi

836 total citations · 2 hit papers
23 papers, 537 citations indexed

About

Daniel Takabi is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Daniel Takabi has authored 23 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Signal Processing and 5 papers in Computational Theory and Mathematics. Recurrent topics in Daniel Takabi's work include Cryptography and Data Security (9 papers), Privacy-Preserving Technologies in Data (7 papers) and Adversarial Robustness in Machine Learning (5 papers). Daniel Takabi is often cited by papers focused on Cryptography and Data Security (9 papers), Privacy-Preserving Technologies in Data (7 papers) and Adversarial Robustness in Machine Learning (5 papers). Daniel Takabi collaborates with scholars based in United States, Ghana and Saudi Arabia. Daniel Takabi's co-authors include Mohammad Hossein Rafiei, Hojjat Adeli, Lynne V. Gauthier, Zhipeng Cai, Wei Li, Zuobin Xiong, Peizhao Hu, Honghui Xu, Mohammad GhasemiGol and Vince D. Calhoun and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Daniel Takabi

22 papers receiving 529 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Self-Supervised Learning for Electroencephalography

2022 219 citations Mohammad Hossein Rafiei, Lynne V. Gauthier et al. IEEE Transactions on Neural Networks and Learning Systems profile →
Self-Supervised Learning for Near-Wild Cognitive Workload Estimation

2024 39 citations Mohammad Hossein Rafiei, Lynne V. Gauthier et al. Journal of Medical Systems profile →

Peers

Countries citing papers authored by Daniel Takabi

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Takabi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Takabi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	NEXUS: Network Exploration for eXploiting Unsafe Sequences in Multi-Turn LLM Jailbreaks 2025 ·ODU Digital Commons (Old Dominion University) ·(unknown), (unknown), Mohammad GhasemiGol, Eduardo Blanco, Daniel Takabi	0
2	Privacy-Preserving Multimodal Sentiment Analysis 2025 ·IEEE Internet of Things Journal ·Honghui Xu, Wei Li, Daniel Takabi, (unknown), Zhipeng Cai	1
3	BlindTuner: On Enhancement of Privacy-Preserving Fine-Tuning of Transformers Based on Homomorphic Encryption 2025 ·IEEE Internet of Things Journal ·(unknown), (unknown), Daniel Takabi, Zhipeng Cai	3
4	RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning 2024 ·ODU Digital Commons (Old Dominion University) ·(unknown), (unknown), Eduardo Blanco, Daniel Takabi, Zhipeng Cai	1
5	A Systematic Mapping Study on Intrusion Response Systems 2024 ·IEEE Access ·(unknown), Mohammad GhasemiGol, Daniel Takabi	1
6	MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference 2024 ·(unknown), (unknown), (unknown), Mohammad Hossein Rafiei, Daniel Takabi	1
7	Self-Supervised Learning for Near-Wild Cognitive Workload Estimation breakdown → 2024 ·Journal of Medical Systems ·Mohammad Hossein Rafiei, Lynne V. Gauthier, Hojjat Adeli, Daniel Takabi	39
8	A Semantic, Syntactic, and Context-Aware Natural Language Adversarial Example Generator 2024 ·IEEE Transactions on Dependable and Secure Computing ·(unknown), Mohammad Hossein Rafiei, (unknown), Daniel Takabi	1
9	Privacy-Preserving Machine Learning Using Functional Encryption: Opportunities and Challenges 2023 ·IEEE Internet of Things Journal ·(unknown), Daniel Takabi, Zhipeng Cai	4
10	RobustEmbed: Robust Sentence Embeddings Using Self-Supervised Contrastive Pre-Training 2023 ·(unknown), Eduardo Blanco, Daniel Takabi	1
11	FENet 2023 ·(unknown), Daniel Takabi	4
12	Towards Neural Network-Based Communication System: Attack and Defense 2022 ·IEEE Transactions on Dependable and Secure Computing ·Zuobin Xiong, Zhipeng Cai, Chunqiang Hu, Daniel Takabi, Wei Li	7
13	A Survey of Deep Learning Architectures for Privacy-Preserving Machine Learning With Fully Homomorphic Encryption 2022 ·IEEE Access ·(unknown), Daniel Takabi, Peizhao Hu, Mohammad Hossein Rafiei, Zhipeng Cai	33
14	Self-Supervised Learning for Electroencephalography breakdown → 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Mohammad Hossein Rafiei, Lynne V. Gauthier, Hojjat Adeli, Daniel Takabi	219
15	Privacy Threat and Defense for Federated Learning With Non-i.i.d. Data in AIoT 2021 ·IEEE Transactions on Industrial Informatics ·Zuobin Xiong, Zhipeng Cai, Daniel Takabi, Wei Li	125
16	Audio-Visual Autoencoding for Privacy-Preserving Video Streaming 2021 ·IEEE Internet of Things Journal ·Honghui Xu, Zhipeng Cai, Daniel Takabi, Wei Li	12
17	NeuroCrypt: Machine Learning Over Encrypted Distributed Neuroimaging Data 2021 ·Neuroinformatics ·(unknown), (unknown), Daniel Takabi, Vince D. Calhoun, Sergey Plis	7
18	Non-interactive Privacy Preserving Recurrent Neural Network Prediction with Homomorphic Encryption 2021 ·(unknown), Daniel Takabi	9
19	Towards Faster Functional Encryption for Privacy-preserving Machine Learning 2021 ·(unknown), Daniel Takabi	9
20	Classification of Encrypted Word Embeddings using Recurrent Neural Networks. 2020 ·(unknown), Daniel Takabi	12

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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