Lida Abdi
Impact in
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Text and Document Classification Technologies
- Internet Traffic Analysis and Secure E-voting
Papers in
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- Machine Learning and ELM 3
- Domain Adaptation and Few-Shot Learning 2
- Imbalanced Data Classification Techniques 2
- Internet Traffic Analysis and Secure E-voting 2
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- Network Security and Intrusion Detection 3
- Co-authors
- Sattar Hashemi (6 shared papers)Amir Namavar Jahromi (1 shared paper)Ali Dehghantanha (1 shared paper)Hadis Karimipour (1 shared paper)Ali Ghodsi (1 shared paper)Salvador J. Díaz‐Cano (1 shared paper)Robert P. Sutcliffe (1 shared paper)Cristina L. Ronchi (1 shared paper)
In The Last Decade
Lida Abdi
9 papers receiving 414 citations
Lida Abdi's Hit Papers
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 339
- Health Information Management 38
- Signal Processing 93
- Computer Networks and Communications 88
- Media Technology 31
Countries citing papers authored by Lida Abdi
This map shows the geographic impact of Lida Abdi'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 Lida Abdi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lida Abdi more than expected).
Fields of papers citing papers by Lida Abdi
This network shows the impact of papers produced by Lida Abdi. 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 Lida Abdi. The network helps show where Lida Abdi may publish in the future.
Co-authors
The 18 scholars most cited alongside Lida Abdi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques Hit paper breakdown → | 2015 | 304 |
| 2 | 2021 | 39 | |
| 3 | 2014 | 33 | |
| 4 | 2021 | 23 | |
| 5 | 2019 | 20 | |
| 6 | 2021 | 11 | |
| 7 | 2019 | 6 | |
| 8 | 2021 | 2 | |
| 9 | 2024 | 1 |
About Lida Abdi
Lida Abdi is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering, having authored 9 papers that have together received 439 indexed citations. Recurring topics across this work include Machine Learning and ELM (3 papers), Network Security and Intrusion Detection (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Imbalanced Data Classification Techniques (2 papers), Electricity Theft Detection Techniques (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Advanced Malware Detection Techniques (2 papers) and Infrastructure Maintenance and Monitoring (1 paper). The work is most often cited by research in Artificial Intelligence (339 citations), Health Information Management (38 citations), Signal Processing (93 citations), Computer Networks and Communications (88 citations) and Media Technology (31 citations). Lida Abdi has collaborated with scholars based in Iran, Canada and Germany. Frequent co-authors include Sattar Hashemi, Amir Namavar Jahromi, Ali Dehghantanha, Hadis Karimipour, Ali Ghodsi, Salvador J. Díaz‐Cano, Robert P. Sutcliffe, Cristina L. Ronchi, Wiebke Arlt and Shakila Thangaratinam. Their work appears in journals such as Computer Communications, Soft Computing, European Journal of Endocrinology, IEEE Transactions on Knowledge and Data Engineering and IEEE Access.
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.