Ali Farzamnia

1.3k total citations
88 papers, 880 citations indexed

About

Ali Farzamnia is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, Ali Farzamnia has authored 88 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 24 papers in Computer Networks and Communications and 18 papers in Cognitive Neuroscience. Recurrent topics in Ali Farzamnia's work include EEG and Brain-Computer Interfaces (18 papers), Blind Source Separation Techniques (11 papers) and Cooperative Communication and Network Coding (10 papers). Ali Farzamnia is often cited by papers focused on EEG and Brain-Computer Interfaces (18 papers), Blind Source Separation Techniques (11 papers) and Cooperative Communication and Network Coding (10 papers). Ali Farzamnia collaborates with scholars based in Malaysia, Iran and Türkiye. Ali Farzamnia's co-authors include Tohid Yousefi Rezaii, Sobhan Sheykhivand, Zohreh Mousavi, Saeed Meshgini, Seyed Naser Razavi, Ervin Gubin Moung, Ismail Saad, Javad Rahebi, Manas K. Haldar and Sharifah Kamilah Syed Yusof and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Ali Farzamnia

81 papers receiving 851 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ali Farzamnia Malaysia	15	321	226	146	125	115	88	880
Mladen Russo Croatia	16	276 0.9×	195 0.9×	238 1.6×	115 0.9×	47 0.4×	45	738
Qingshan She China	19	591 1.8×	142 0.6×	199 1.4×	240 1.9×	46 0.4×	73	1.0k
Saugat Bhattacharyya India	16	637 2.0×	211 0.9×	34 0.2×	125 1.0×	114 1.0×	58	1.0k
Hashem Kalbkhani Iran	16	222 0.7×	374 1.7×	47 0.3×	109 0.9×	238 2.1×	71	903
Tingting Wang China	16	138 0.4×	119 0.5×	57 0.4×	101 0.8×	145 1.3×	85	828
Lakhan Dev Sharma India	21	576 1.8×	52 0.2×	113 0.8×	148 1.2×	63 0.5×	67	1.1k
Guojun Dai China	15	457 1.4×	104 0.5×	314 2.2×	156 1.2×	150 1.3×	48	967
Preeti Singh India	19	271 0.8×	629 2.8×	46 0.3×	88 0.7×	109 0.9×	93	1.3k
Ali Hassan Pakistan	19	313 1.0×	93 0.4×	142 1.0×	279 2.2×	28 0.2×	91	1.1k

Countries citing papers authored by Ali Farzamnia

Since Specialization

Citations

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

Fields of papers citing papers by Ali Farzamnia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Farzamnia

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Farzamnia. A scholar is included among the top collaborators of Ali Farzamnia 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 Ali Farzamnia. Ali Farzamnia 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

Giveki, Davar, et al.. (2025). Efficiently Automating Covering Array Generation: A Model Checking and Metaheuristic Algorithm Approach. IEEE Access. 13. 122804–122821.

Moung, Ervin Gubin, et al.. (2024). Cocoa Diseases Classification using Deep Learning Algorithm. SHILAP Revista de lepidopterología. 63. 1014–1014. 2 indexed citations

Khalili, Azam, Amir Rastegarnia, Ali Farzamnia, Saeid Sanei, & Thamer A. H. Alghamdi. (2024). Tracking Analysis of Maximum Versoria Criterion Based Adaptive Filter. IEEE Access. 12. 30747–30753. 1 indexed citations

Moung, Ervin Gubin, et al.. (2023). A review of solar drying technology for agricultural produce. Indonesian Journal of Electrical Engineering and Computer Science. 30(3). 1407–1407. 7 indexed citations

Tan, Min Keng, et al.. (2023). Research on Risk Detection of Autonomous Vehicle Based on Rapidly-Exploring Random Tree. Computation. 11(3). 61–61. 7 indexed citations

Moung, Ervin Gubin, et al.. (2023). On-Shore Plastic Waste Detection with YOLOv5 and RGB-Near-Infrared Fusion: A State-of-the-Art Solution for Accurate and Efficient Environmental Monitoring. Big Data and Cognitive Computing. 7(2). 103–103. 11 indexed citations

Moung, Ervin Gubin, et al.. (2023). COVID-19 Classification through Deep Learning Models with Three-Channel Grayscale CT Images. Big Data and Cognitive Computing. 7(1). 36–36. 5 indexed citations

Rastegarnia, Amir, et al.. (2022). Power and Current Limiting Strategy Based on Droop Controller With Floating Characteristic for Grid-Connected Distributed Generations. IEEE Access. 10. 13966–13973. 2 indexed citations

Fan, Jin, et al.. (2022). Transmission path optimization Based on Efficiency Communication System. Journal of Physics Conference Series. 2302(1). 12011–12011. 1 indexed citations

10.

Rezaii, Tohid Yousefi, et al.. (2022). A Two-Stage Learning Convolutional Neural Network for Sleep Stage Classification Using a Filterbank and Single Feature. IEEE Access. 10. 60597–60609. 8 indexed citations

11.

Baradarannia, Mahdi, et al.. (2021). Leader-following consensus of nonlinear multi-agent systems based on position and velocity estimations. 1–7. 4 indexed citations

12.

Sheykhivand, Sobhan, et al.. (2020). Automatic Identification of Epileptic Seizures From EEG Signals Using Sparse Representation-Based Classification. IEEE Access. 8. 138834–138845. 20 indexed citations

13.

Meshgini, Saeed, et al.. (2019). Breast Tumor Segmentation Using K-Means Clustering and Cuckoo Search Optimization. 305–308. 17 indexed citations

14.

Ghiasi, Amir Rikhtehgar, et al.. (2019). Transfer Learning based Motor Imagery Classification using Convolutional Neural Networks. 1825–1828. 26 indexed citations

15.

Rezaii, Tohid Yousefi, et al.. (2019). Correlation-Based Regularized Common Spatial Patterns for Classification of Motor Imagery EEG Signals. 1770–1774. 4 indexed citations

16.

Farzamnia, Ali, et al.. (2018). BER Analysis for OFDM Systems with Various Modulation Techniques in Rayleigh Fading Channel. 40–44. 1 indexed citations

17.

Farzamnia, Ali, et al.. (2018). Comparison of Bit Error Rate Performance for CDMA Systems in Different Fading and AWGN Channels. e82 a. 1–5. 3 indexed citations

18.

Rezaii, Tohid Yousefi, et al.. (2018). Sleep Stage Classification Using Dempster-Shafer Theory for Classifier Fusion. 101. 1–4. 6 indexed citations

19.

Farzamnia, Ali, et al.. (2018). BER Comparison of OFDM with M-QAM Modulation Scheme of AWGN and Rayleigh Fading Channels. 54–58. 9 indexed citations

20.

Farhadi‐Kangarlu, Mohammad, Sadjad Galvani, & Ali Farzamnia. (2017). A Single-Phase Multilevel Inverter for Stand-Alone Hybrid PV/Battery Residential Application. Advanced Science Letters. 23(11). 11604–11608. 1 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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