Samad Ali

936 total citations
39 papers, 620 citations indexed

About

Samad Ali is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Samad Ali has authored 39 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 9 papers in Computer Networks and Communications and 7 papers in Aerospace Engineering. Recurrent topics in Samad Ali's work include Advanced MIMO Systems Optimization (16 papers), Advanced Wireless Communication Technologies (12 papers) and Energy Harvesting in Wireless Networks (10 papers). Samad Ali is often cited by papers focused on Advanced MIMO Systems Optimization (16 papers), Advanced Wireless Communication Technologies (12 papers) and Energy Harvesting in Wireless Networks (10 papers). Samad Ali collaborates with scholars based in Finland, United States and Iran. Samad Ali's co-authors include Matti Latva‐aho, Nandana Rajatheva, Walid Saad, Nurul Huda Mahmood, Aidin Ferdowsi, Morteza Valizadeh, Mehdi Chehel Amirani, Narayan B. Mandayam, K. B. Shashika Manosha and Slimane Ben Slimane and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Samad Ali

37 papers receiving 612 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samad Ali Finland	14	508	260	158	36	35	39	620
Mingjie Feng China	15	598 1.2×	408 1.6×	123 0.8×	52 1.4×	20 0.6×	46	787
Zhichao Sheng China	13	342 0.7×	179 0.7×	185 1.2×	46 1.3×	23 0.7×	59	510
Wenpeng Jing China	12	386 0.8×	323 1.2×	154 1.0×	43 1.2×	18 0.5×	88	621
Andrey Samuylov Finland	16	767 1.5×	357 1.4×	156 1.0×	29 0.8×	54 1.5×	47	923
Aditya Trivedi India	14	473 0.9×	334 1.3×	95 0.6×	56 1.6×	27 0.8×	132	674
Evelio Fernández Brazil	14	560 1.1×	372 1.4×	97 0.6×	19 0.5×	37 1.1×	65	673
Xuanli Wu China	12	356 0.7×	203 0.8×	105 0.7×	31 0.9×	18 0.5×	69	458
Jian Luo Germany	15	777 1.5×	137 0.5×	199 1.3×	22 0.6×	25 0.7×	50	829
Ebrahim Bedeer Canada	16	704 1.4×	494 1.9×	312 2.0×	56 1.6×	45 1.3×	61	978
Zain Ali Pakistan	16	572 1.1×	202 0.8×	264 1.7×	42 1.2×	12 0.3×	46	705

Countries citing papers authored by Samad Ali

Since Specialization

Citations

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

Fields of papers citing papers by Samad Ali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samad Ali

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

All Works

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20 of 20 papers shown

Rasti, Mehdi, et al.. (2025). Optimizing TTD-Based Wideband Hybrid Beamforming for Energy-Efficient Wireless Power Transfer. IEEE Communications Letters. 29(5). 1062–1066.

Rasti, Mehdi, et al.. (2025). XL-RIS Placement Strategies for Beam Focusing in Coexisting Near-Field and Far-Field mmWave Communications. 1–6.

Ali, Samad, et al.. (2024). A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration. IEEE Open Journal of the Communications Society. 1–1. 1 indexed citations

Letafati, Mehdi, Samad Ali, & Matti Latva‐aho. (2024). Denoising Diffusion Probabilistic Models for Hardware-Impaired Communications. 1–6. 7 indexed citations

Letafati, Mehdi, Samad Ali, & Matti Latva‐aho. (2024). Conditional Denoising Diffusion Probabilistic Models for Data Reconstruction Enhancement in Wireless Communications. SHILAP Revista de lepidopterología. 3. 133–146. 6 indexed citations

Letafati, Mehdi, Samad Ali, & Matti Latva‐aho. (2024). Diffusion Model-Aided Data Reconstruction in Cell-Free Massive MIMO Downlink: A Computation-Aware Approach. IEEE Wireless Communications Letters. 13(11). 3162–3166. 4 indexed citations

Ali, Samad, et al.. (2023). Deep Learning-Based Blind Multiple User Detection for Grant-Free SCMA and MUSA Systems. SHILAP Revista de lepidopterología. 1. 61–77. 4 indexed citations

Ali, Samad, et al.. (2023). Deep Contextual Bandits Learning-Based Beam Selection for mmWave MIMO Systems. 211–216. 2 indexed citations

Ali, Samad, et al.. (2022). Deep Reinforcement Learning for Practical Phase-Shift Optimization in RIS-Aided MISO URLLC Systems. IEEE Internet of Things Journal. 10(10). 8931–8943. 37 indexed citations

10.

Ali, Samad, et al.. (2022). Deep Reinforcement Learning for Practical Phase Shift Optimization in RIS-assisted Networks over Short Packet Communications. University of Oulu Repository (University of Oulu). 518–523. 7 indexed citations

11.

Manosha, K. B. Shashika, et al.. (2021). Deep contextual bandits for fast initial access in mmWave based user-centric ultra-dense networks. University of Oulu Repository (University of Oulu). 5 indexed citations

12.

Ali, Samad, et al.. (2021). Deep reinforcement based optimization of function splitting in virtualized radio access networks. University of Oulu Repository (University of Oulu). 17 indexed citations

13.

Ali, Samad, et al.. (2020). Event-driven source traffic prediction in machine-type communications using LSTM networks. University of Oulu Repository (University of Oulu). 7 indexed citations

14.

Ali, Samad, Aidin Ferdowsi, Walid Saad, Nandana Rajatheva, & Jussi Haapola. (2020). Sleeping multi-armed bandit learning for fast uplink grant allocation in machine type communications. University of Oulu Repository (University of Oulu). 26 indexed citations

15.

Ali, Samad, et al.. (2019). Contextual bandit learning for machine type communications in the null space of multi-antenna systems. University of Oulu Repository (University of Oulu). 4 indexed citations

16.

Ali, Samad, Nandana Rajatheva, & Walid Saad. (2019). Fast uplink grant for machine type communications:challenges and opportunities. University of Oulu Repository (University of Oulu). 61 indexed citations

17.

Ferdowsi, Aidin, Samad Ali, Walid Saad, & Narayan B. Mandayam. (2019). Cyber-physical security and safety of autonomous connected vehicles:optimal control meets multi-armed bandit learning. University of Oulu Repository (University of Oulu). 46 indexed citations

18.

Ali, Samad, Aidin Ferdowsi, Walid Saad, & Nandana Rajatheva. (2018). Sleeping Multi-Armed Bandits for Fast Uplink Grant Allocation in Machine Type Communications. University of Oulu Repository (University of Oulu). 22 indexed citations

19.

Ali, Samad, Walid Saad, & Nandana Rajatheva. (2018). A Directed Information Learning Framework for Event-Driven M2M Traffic Prediction. IEEE Communications Letters. 22(11). 2378–2381. 16 indexed citations

20.

Ali, Samad & Nandana Rajatheva. (2017). Opportunistic scheduling of machine type communications as underlay to cellular networks. University of Oulu Repository (University of Oulu). 2 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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