Ehsan Hallaji

1k citations

31 papers · 762 · 1 hit paper · h-index 13

Impact in

Control and Systems Engineering top 2%
- Machine Fault Diagnosis Techniques
- Smart Grid Security and Resilience
- Fault Detection and Control Systems
- Power Systems Fault Detection
Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Anomaly Detection Techniques and Applications

Papers in

Control and Systems Engineering 13
- Smart Grid Security and Resilience 6
- Machine Fault Diagnosis Techniques 4
- Fault Detection and Control Systems 4
- Power Systems Fault Detection 2
Artificial Intelligence 13
- Privacy-Preserving Technologies in Data 6
- Imbalanced Data Classification Techniques 2

Co-authors: Roozbeh Razavi‐Far (30 shared papers)Mehrdad Saif (28 shared papers)Maryam Farajzadeh-Zanjani (7 shared papers)Qiang Yang (1 shared paper)Shahin Hedayati Kia (1 shared paper)Gérard‐André Capolino (1 shared paper)Humberto Henao (1 shared paper)Masood Parvania (1 shared paper)
Journals: Neurocomputing (3 papers)IEEE Transactions on Big Data (2 papers)IEEE Transactions on Industrial Electronics (2 papers)IEEE Transactions on Information Forensics and Security (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
Partner nations: Canada United States United Kingdom

In The Last Decade

Ehsan Hallaji

28 papers receiving 752 citations

Ehsan Hallaji's Hit Papers

align trajectories log scale

Decentralized Federated Learning: A Survey on Security and Privacy 2024 · 94 citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2024 IEEE Transactions on Big Data

Peers

Countries citing papers authored by Ehsan Hallaji

Since Specialization

Citations

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

Fields of papers citing papers by Ehsan Hallaji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Ehsan Hallaji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ehsan Hallaji Line = papers co-authored together Ehsan Hallaji links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems IEEE Transactions on Industrial Electronics ·Roozbeh Razavi‐Far, Ehsan Hallaji, Maryam Farajzadeh-Zanjani, Mehrdad Saif, Shahin Hedayati Kia, Humberto Henao, Gérard‐André Capolino	2018	123
2	Decentralized Federated Learning: A Survey on Security and Privacy IEEE Transactions on Big Data ·Ehsan Hallaji, Roozbeh Razavi‐Far, Mehrdad Saif, Qiang Yang +1 other Hit paper breakdown →	2024	94
3	A Semi-Supervised Diagnostic Framework Based on the Surface Estimation of Faulty Distributions IEEE Transactions on Industrial Informatics ·Roozbeh Razavi‐Far, Ehsan Hallaji, Maryam Farajzadeh-Zanjani, Mehrdad Saif	2018	84
4	Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids IEEE Transactions on Smart Grid ·Maryam Farajzadeh-Zanjani, Ehsan Hallaji, Roozbeh Razavi‐Far, Mehrdad Saif, Masood Parvania	2021	82
5	A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments IEEE Transactions on Industrial Electronics ·Roozbeh Razavi‐Far, Ehsan Hallaji, Mehrdad Saif, Gregory Ditzler	2018	55
6	A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems IEEE Transactions on Information Forensics and Security ·Ehsan Hallaji, Roozbeh Razavi‐Far, Meng Wang, Mehrdad Saif, B. Fardanesh	2022	40
7	Unsupervised concrete feature selection based on mutual information for diagnosing faults and cyber-attacks in power systems Engineering Applications of Artificial Intelligence ·Hossein Hassani, Ehsan Hallaji, Roozbeh Razavi‐Far, Mehrdad Saif	2021	39
8	Generative-Adversarial Class-Imbalance Learning for Classifying Cyber-Attacks and Faults - A Cyber-Physical Power System IEEE Transactions on Dependable and Secure Computing ·Maryam Farajzadeh-Zanjani, Ehsan Hallaji, Roozbeh Razavi‐Far, Mehrdad Saif	2021	37
9	Generative adversarial dimensionality reduction for diagnosing faults and attacks in cyber-physical systems Neurocomputing ·Maryam Farajzadeh-Zanjani, Ehsan Hallaji, Roozbeh Razavi‐Far, Mehrdad Saif	2021	36
10	DLIN: Deep Ladder Imputation Network IEEE Transactions on Cybernetics ·Ehsan Hallaji, Roozbeh Razavi‐Far, Mehrdad Saif	2021	31
11	Label noise analysis meets adversarial training: A defense against label poisoning in federated learning Knowledge-Based Systems ·Ehsan Hallaji, Roozbeh Razavi‐Far, Mehrdad Saif, Enrique Herrera‐Viedma	2023	31
12	Addressing Class Imbalance in Intrusion Detection: A Comprehensive Evaluation of Machine Learning Approaches Electronics ·Vaishnavi Shanmugam, Roozbeh Razavi‐Far, Ehsan Hallaji	2024	20
13	Adversarial Learning on Incomplete and Imbalanced Medical Data for Robust Survival Prediction of Liver Transplant Patients IEEE Access ·Ehsan Hallaji, Roozbeh Razavi‐Far, Vasile Palade, Mehrdad Saif	2021	13
14	A Hybrid Scheme for Fault Diagnosis with Partially Labeled Sets of Observations IEEE International Conference on Machine Learning and Applications (ICMLA) ·Roozbeh Razavi‐Far, Ehsan Hallaji, Mehrdad Saif, Luis G. Rueda	2017	12
15	Detection of Malicious SCADA Communications via Multi-Subspace Feature Selection Scholarship at UWindsor (University of Windsor) ·Ehsan Hallaji, Roozbeh Razavi‐Far, Mehrdad Saif	2020	12
16	Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms Adaptation, learning, and optimization ·Ehsan Hallaji, Roozbeh Razavi‐Far, Mehrdad Saif	2022	12
17	Expanding analytical capabilities in intrusion detection through ensemble-based multi-label classification Computers & Security ·Ehsan Hallaji, Roozbeh Razavi‐Far, Mehrdad Saif	2024	10
18	Federated continual learning: Concepts, challenges, and solutions Neurocomputing ·Parisa Hamedi, Roozbeh Razavi‐Far, Ehsan Hallaji	2025	9
19	Constrained Generative Adversarial Learning for Dimensionality Reduction IEEE Transactions on Knowledge and Data Engineering ·Ehsan Hallaji, Maryam Farajzadeh-Zanjani, Roozbeh Razavi‐Far, Vasile Palade, Mehrdad Saif	2021	8
20	Embedding Time-Series Features into Generative Adversarial Networks for Intrusion Detection in Internet of Things Networks Intelligent systems reference library ·Ehsan Hallaji, Roozbeh Razavi‐Far, Mehrdad Saif	2022	2

About Ehsan Hallaji

Ehsan Hallaji is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Health Information Management, having authored 31 papers that have together received 762 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (9 papers), Privacy-Preserving Technologies in Data (6 papers), Smart Grid Security and Resilience (6 papers), Machine Fault Diagnosis Techniques (4 papers), Fault Detection and Control Systems (4 papers), Power Systems Fault Detection (2 papers), Imbalanced Data Classification Techniques (2 papers) and Power System Optimization and Stability (2 papers). The work is most often cited by research in Control and Systems Engineering (386 citations), Artificial Intelligence (215 citations), Computer Networks and Communications (114 citations), Information Systems (41 citations) and Industrial and Manufacturing Engineering (13 citations). Ehsan Hallaji has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Roozbeh Razavi‐Far, Mehrdad Saif, Maryam Farajzadeh-Zanjani, Qiang Yang, Shahin Hedayati Kia, Gérard‐André Capolino, Humberto Henao, Masood Parvania, Gregory Ditzler and Hossein Hassani. Their work appears in journals such as Neurocomputing, IEEE Transactions on Big Data, IEEE Transactions on Industrial Electronics, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Knowledge and Data Engineering.

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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