Faisal Althobiani

1.3k total citations · 1 hit paper
35 papers, 988 citations indexed

About

Faisal Althobiani is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Ocean Engineering. According to data from OpenAlex, Faisal Althobiani has authored 35 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 10 papers in Control and Systems Engineering and 8 papers in Ocean Engineering. Recurrent topics in Faisal Althobiani's work include Machine Fault Diagnosis Techniques (9 papers), Oil and Gas Production Techniques (5 papers) and Energy Load and Power Forecasting (4 papers). Faisal Althobiani is often cited by papers focused on Machine Fault Diagnosis Techniques (9 papers), Oil and Gas Production Techniques (5 papers) and Energy Load and Power Forecasting (4 papers). Faisal Althobiani collaborates with scholars based in Saudi Arabia, Pakistan and Poland. Faisal Althobiani's co-authors include Andrew Ball, Van Tung Tran, Muhammad Irfan, Adam Głowacz, Saifur Rahman, Omar AlShorman, Mahmoud Masadeh, W. Głowacz, J. Kozik and Byeong-Keun Choi and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Faisal Althobiani

34 papers receiving 946 citations

Hit Papers

An approach to fault diagnosis of reciprocating compresso... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faisal Althobiani Saudi Arabia 14 497 303 221 160 136 35 988
Xueyi Li China 20 712 1.4× 460 1.5× 288 1.3× 196 1.2× 182 1.3× 50 1.5k
M. Salman Leong Malaysia 19 833 1.7× 721 2.4× 388 1.8× 324 2.0× 169 1.2× 92 1.7k
Cheng Shao China 17 661 1.3× 257 0.8× 60 0.3× 130 0.8× 146 1.1× 170 1.2k
Haibo Liang China 12 185 0.4× 224 0.7× 128 0.6× 171 1.1× 148 1.1× 45 893
Wang‐Ji Yan China 19 391 0.8× 467 1.5× 473 2.1× 167 1.0× 135 1.0× 67 1.8k
Junyu Guo China 19 265 0.5× 304 1.0× 189 0.9× 94 0.6× 75 0.6× 58 878
Yanrui Jin China 19 307 0.6× 306 1.0× 166 0.8× 58 0.4× 150 1.1× 44 1.2k
Zhongbin Wang China 19 230 0.5× 517 1.7× 164 0.7× 120 0.8× 93 0.7× 102 1.1k
Jianwei Yang China 21 723 1.5× 794 2.6× 339 1.5× 152 0.9× 103 0.8× 125 1.5k

Countries citing papers authored by Faisal Althobiani

Since Specialization
Citations

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

Fields of papers citing papers by Faisal Althobiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faisal Althobiani

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

All Works

20 of 20 papers shown
1.
Rahman, Saifur, et al.. (2024). An Optimal Delay Tolerant and Improved Data Collection Schema Using AUVs for Underwater Wireless Sensor Networks. IEEE Access. 12. 30146–30163. 1 indexed citations
2.
Irfan, Muhammad, Ahmad Shaf, Tariq Ali, et al.. (2024). Global horizontal irradiance prediction for renewable energy system in Najran and Riyadh. AIP Advances. 14(3). 1 indexed citations
4.
Irfan, Muhammad, Ahmad Shaf, Tariq Ali, et al.. (2023). Multi-region electricity demand prediction with ensemble deep neural networks. PLoS ONE. 18(5). e0285456–e0285456. 6 indexed citations
5.
Irfan, Muhammad, Zohaib Mushtaq, Salim Nasar Faraj Mursal, et al.. (2023). A Scalo Gram-Based CNN Ensemble Method With Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis. IEEE Access. 11. 127783–127799. 40 indexed citations
6.
Abdussamie, Nagi, et al.. (2023). Prediction of Wind Loadings on Offshore Wind Turbines Using CFD. 5(1). 1–19. 1 indexed citations
7.
Irfan, Muhammad, Ch Anwar Ul Hassan, Faisal Althobiani, et al.. (2023). Power Scheduling with Max User Comfort in Smart Home: Performance Analysis and Tradeoffs. Computer Systems Science and Engineering. 46(2). 1723–1740. 4 indexed citations
8.
Soomro, Toufique Ahmed, et al.. (2023). Enhancing fine retinal vessel segmentation: Morphological reconstruction and double thresholds filtering strategy. PLoS ONE. 18(7). e0288792–e0288792. 12 indexed citations
9.
Irfan, Muhammad, et al.. (2023). Ensemble learning approach for advanced metering infrastructure in future smart grids. PLoS ONE. 18(10). e0289672–e0289672. 5 indexed citations
10.
Irfan, Muhammad, Muhammad Yasin Naz, Shazia Shukrullah, et al.. (2023). Numerical sensitivity analysis of temperature‐dependent reaction rate constants for optimized thermal conversion of high‐density plastic waste into combustible fuels. The Canadian Journal of Chemical Engineering. 101(10). 5611–5620. 3 indexed citations
11.
Althobiani, Faisal, et al.. (2023). Interference mitigation in intentional jammers aided non-uniform heterogeneous cellular networks. PLoS ONE. 18(6). e0287709–e0287709. 1 indexed citations
12.
Ramzan, Muhammad, et al.. (2022). Unusual Driver Behavior Detection in Videos Using Deep Learning Models. Sensors. 23(1). 311–311. 14 indexed citations
13.
Irfan, Muhammad, Faisal Althobiani, Abdullah Alwadie, et al.. (2022). Condition monitoring of water pump bearings using ensemble classifier. Advances in Mechanical Engineering. 14(3). 8 indexed citations
14.
Alqarni, Ali O., Faisal Althobiani, Muhammad Yasin Naz, et al.. (2022). Statistical Optimization of Pyrolysis Process for Thermal Destruction of Plastic Waste Based on Temperature-Dependent Activation Energies and Pre-Exponential Factors. Processes. 10(8). 1559–1559. 14 indexed citations
15.
Ali, Farman, Muhammad Irfan, Fazal Muhammad, et al.. (2021). Mitigation of Phase Noise and Nonlinearities for High Capacity Radio-over-Fiber Links. Electronics. 10(3). 345–345. 9 indexed citations
16.
Irfan, Muhammad, Muhammad Aksam Iftikhar, Sana Yasin, et al.. (2021). Role of Hybrid Deep Neural Networks (HDNNs), Computed Tomography, and Chest X-rays for the Detection of COVID-19. International Journal of Environmental Research and Public Health. 18(6). 3056–3056. 76 indexed citations
17.
Hussain, Aamir, Tariq Ali, Faisal Althobiani, et al.. (2021). Security Framework for IoT Based Real-Time Health Applications. Electronics. 10(6). 719–719. 29 indexed citations
18.
Althobiani, Faisal, et al.. (2020). Design and Experimental Analysis of Multiband Frequency Reconfigurable Antenna for 5G and Sub-6 GHz Wireless Communication. Micromachines. 12(1). 32–32. 38 indexed citations
19.
Tran, Van Tung, Faisal Althobiani, Tiedo Tinga, Andrew Ball, & Gang Niu. (2017). Single and combined fault diagnosis of reciprocating compressor valves using a hybrid deep belief network. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 232(20). 3767–3780. 35 indexed citations
20.
Tran, Van Tung, Faisal Althobiani, & Andrew Ball. (2014). An approach to fault diagnosis of reciprocating compressor valves using Teager–Kaiser energy operator and deep belief networks. Expert Systems with Applications. 41(9). 4113–4122. 329 indexed citations breakdown →

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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