Laith Farhan

8.6k total citations · 2 hit papers
20 papers, 5.3k citations indexed

About

Laith Farhan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Laith Farhan has authored 20 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 9 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in Laith Farhan's work include IoT and Edge/Fog Computing (7 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Energy Harvesting in Wireless Networks (4 papers). Laith Farhan is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Energy Harvesting in Wireless Networks (4 papers). Laith Farhan collaborates with scholars based in United Kingdom, Iraq and Australia. Laith Farhan's co-authors include Laith Alzubaidi, Mohammed A. Fadhel, Ye Duan, Jinglan Zhang, José Santamaría, Omran Al-Shamma, Muthana Al‐Amidie, Ayad Q. Al-Dujaili, Amjad J. Humaidi and Rupak Kharel and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sustainable Cities and Society.

In The Last Decade

Laith Farhan

18 papers receiving 5.1k 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.

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

2021 4.4k citations Laith Alzubaidi, Jinglan Zhang et al. Journal Of Big Data profile →
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications

2023 420 citations Laith Alzubaidi, Jinshuai Bai et al. Journal Of Big Data profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laith Farhan United Kingdom	12	1.4k	991	720	597	469	20	5.3k
Muthana Al‐Amidie United States	7	1.2k 0.9×	892 0.9×	701 1.0×	458 0.8×	498 1.1×	12	4.8k
Ayad Q. Al-Dujaili Iraq	11	1.2k 0.9×	876 0.9×	621 0.9×	487 0.8×	468 1.0×	43	4.8k
Mohammed A. Fadhel Iraq	20	2.0k 1.4×	1.3k 1.3×	1.1k 1.5×	516 0.9×	607 1.3×	41	6.6k
Omran Al-Shamma Iraq	12	1.5k 1.1×	1.1k 1.1×	946 1.3×	435 0.7×	507 1.1×	28	5.4k
José Santamaría Spain	24	1.9k 1.4×	1.6k 1.6×	970 1.3×	488 0.8×	639 1.4×	61	6.7k
Ye Duan United States	24	1.7k 1.2×	1.6k 1.6×	1.1k 1.5×	499 0.8×	591 1.3×	120	7.2k
Laith Alzubaidi Australia	27	2.2k 1.6×	1.4k 1.4×	1.2k 1.6×	582 1.0×	672 1.4×	83	7.4k
Amjad J. Humaidi Iraq	31	1.6k 1.1×	1.4k 1.5×	748 1.0×	879 1.5×	909 1.9×	177	7.4k
Adnan Mohsin Abdulazeez Iraq	24	1.5k 1.1×	769 0.8×	495 0.7×	371 0.6×	275 0.6×	115	4.5k
Jinglan Zhang Australia	26	1.9k 1.4×	1.5k 1.5×	1.0k 1.4×	528 0.9×	614 1.3×	133	7.5k

Countries citing papers authored by Laith Farhan

Since Specialization

Citations

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

Fields of papers citing papers by Laith Farhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laith Farhan

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

Farhan, Laith, et al.. (2025). The Evolution of Computational Linguistics: A Bibliometric Analysis of Research Trends from 1966 to 2023. 2025. 83–93. 1 indexed citations

Farhan, Laith, et al.. (2025). Data Mining Driven Segmentation of Health Insurance Policyholders Using K-Means Clustering. 2025. 187–196.

Farhan, Laith, et al.. (2024). Hybrid Model for Forecasting Temperature in Khartoum Based on CRU data. 2024. 164–174.

Alzubaidi, Laith, Jinshuai Bai, Aiman Al-Sabaawi, et al.. (2023). A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications. Journal Of Big Data. 10(1). 420 indexed citations breakdown →

Gu, Fengshou, et al.. (2022). Enhancing Virtual Real-Time Monitoring of Photovoltaic Power Systems Based on the Internet of Things. Electronics. 11(15). 2469–2469. 12 indexed citations

Farhan, Laith, et al.. (2022). Multiple-Intelligent Reflective Surfaces (Multi-IRSs)-Based NOMA System. Electronics. 11(23). 4045–4045. 4 indexed citations

Farhan, Laith, et al.. (2021). Energy Efficiency for Green Internet of Things (IoT) Networks: A Survey. SHILAP Revista de lepidopterología. 1(3). 279–314. 27 indexed citations

Al‐Amidie, Muthana, Amjad J. Humaidi, Ayad Q. Al-Dujaili, et al.. (2021). Robust Spectrum Sensing Detector Based on MIMO Cognitive Radios with Non-Perfect Channel Gain. Electronics. 10(5). 529–529. 8 indexed citations

Alzubaidi, Laith, Jinglan Zhang, Amjad J. Humaidi, et al.. (2021). Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. Journal Of Big Data. 8(1). 53–53. 4449 indexed citations breakdown →

10.

Alzubaidi, Laith, Omran Al-Shamma, Mohammed A. Fadhel, et al.. (2020). Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model. Electronics. 9(3). 445–445. 104 indexed citations

11.

Al-Shamma, Omran, et al.. (2019). Employment of Multi-classifier and Multi-domain Features for PCG Recognition. 321–325. 11 indexed citations

12.

Adebisi, Bamidele, et al.. (2019). Hybrid Visible-Light/RF Communication System for Mission-Critical IoT Applications. University of Salford Institutional Repository (University of Salford). 1–4. 4 indexed citations

13.

Farhan, Laith, et al.. (2019). Toward Interference Aware IoT Framework: Energy and Geo-Location-Based-Modeling. IEEE Access. 7. 56617–56630. 25 indexed citations

14.

Farhan, Laith, et al.. (2018). An efficient data packet scheduling scheme for Internet of Things networks. 3. 1–6. 17 indexed citations

15.

Farhan, Laith, et al.. (2018). LQOR: Link Quality-Oriented Route Selection on Internet of Things Networks for Green Computing. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 9 indexed citations

16.

Farhan, Laith, et al.. (2018). A Concise Review on Internet of Things (IoT) -Problems, Challenges and Opportunities. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1–6. 63 indexed citations

17.

Farhan, Laith, Rupak Kharel, Omprakash Kaiwartya, Mohammad Hammoudeh, & Bamidele Adebisi. (2017). Towards green computing for Internet of things: Energy oriented path and message scheduling approach. Sustainable Cities and Society. 38. 195–204. 62 indexed citations

18.

Farhan, Laith, et al.. (2017). An energy efficient long hop (LH) first scheduling algorithm for scalable Internet of Things (IoT) networks. 1–6. 13 indexed citations

19.

Farhan, Laith, et al.. (2017). A survey on the challenges and opportunities of the Internet of Things (IoT). 1–5. 62 indexed citations

20.

Farhan, Laith. (2014). Web Design and Implementation for Online Registration at University of Diyala. International journal of innovation and applied studies. 8(1). 261–270. 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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