S.N. Khalid

1.0k total citations
60 papers, 799 citations indexed

About

S.N. Khalid is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, S.N. Khalid has authored 60 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Electrical and Electronic Engineering, 16 papers in Control and Systems Engineering and 9 papers in Artificial Intelligence. Recurrent topics in S.N. Khalid's work include Power System Optimization and Stability (23 papers), Optimal Power Flow Distribution (22 papers) and Microgrid Control and Optimization (13 papers). S.N. Khalid is often cited by papers focused on Power System Optimization and Stability (23 papers), Optimal Power Flow Distribution (22 papers) and Microgrid Control and Optimization (13 papers). S.N. Khalid collaborates with scholars based in Malaysia, United Arab Emirates and Australia. S.N. Khalid's co-authors include Hussain Shareef, Mohd Wazir Mustafa, M. Mustapha, M.W. Mustafa, Mohd Herwan Sulaiman, Mahdiyeh Eslami, Usman Ullah Sheikh, Mehdi Neshat, Azhar Khairuddin and Aliyu Garba and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and IEEE Access.

In The Last Decade

S.N. Khalid

59 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.N. Khalid Malaysia 17 599 197 136 121 89 60 799
Abdulaziz Almalaq Saudi Arabia 18 657 1.1× 258 1.3× 219 1.6× 152 1.3× 112 1.3× 37 939
Noman Shabbir Estonia 15 541 0.9× 134 0.7× 141 1.0× 74 0.6× 56 0.6× 65 688
Vishnu Suresh Poland 15 510 0.9× 215 1.1× 168 1.2× 94 0.8× 32 0.4× 58 727
Federico Piglione Italy 10 725 1.2× 136 0.7× 182 1.3× 69 0.6× 123 1.4× 28 910
Da Huo China 17 767 1.3× 269 1.4× 57 0.4× 84 0.7× 61 0.7× 59 990
Oveis Abedinia Iran 15 909 1.5× 272 1.4× 228 1.7× 114 0.9× 72 0.8× 29 1.2k
Nikolai Voropai Russia 12 715 1.2× 329 1.7× 211 1.6× 155 1.3× 28 0.3× 33 886
Qun Zhou United States 14 540 0.9× 281 1.4× 90 0.7× 81 0.7× 95 1.1× 44 747
Evgeny Barakhtenko Russia 11 492 0.8× 164 0.8× 201 1.5× 168 1.4× 43 0.5× 39 632

Countries citing papers authored by S.N. Khalid

Since Specialization
Citations

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

Fields of papers citing papers by S.N. Khalid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.N. Khalid. 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 S.N. Khalid. The network helps show where S.N. Khalid may publish in the future.

Co-authorship network of co-authors of S.N. Khalid

This figure shows the co-authorship network connecting the top 25 collaborators of S.N. Khalid. A scholar is included among the top collaborators of S.N. Khalid 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 S.N. Khalid. S.N. Khalid 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.
Khalid, S.N., et al.. (2025). Correlation between input and output parameters of microbial fuel cell. Indonesian Journal of Electrical Engineering and Computer Science. 37(3). 1452–1452. 1 indexed citations
2.
Shareef, Hussain, et al.. (2025). Optimized forgetting factor recursive least square method for equivalent circuit model parameter extraction of battery and ultracapacitor. Journal of Energy Storage. 119. 116298–116298. 2 indexed citations
3.
Mokhtar, Ahmad Safawi, et al.. (2023). Optimal Control of a Single-Stage Modular PV-Grid-Driven System Using a Gradient Optimization Algorithm. Energies. 16(3). 1492–1492. 16 indexed citations
4.
Khalid, S.N., et al.. (2023). Improve power quality of charging station unit using African vulture optimization algorithm. Bulletin of Electrical Engineering and Informatics. 12(5). 2605–2614. 10 indexed citations
5.
Khalid, S.N., et al.. (2023). An Improved Gradient-Based Optimization Algorithm for Solving Complex Optimization Problems. Processes. 11(2). 498–498. 20 indexed citations
6.
Arandian, Behdad, Mahdiyeh Eslami, S.N. Khalid, et al.. (2022). An Effective Optimization Algorithm for Parameters Identification of Photovoltaic Models. IEEE Access. 10. 34069–34084. 38 indexed citations
8.
Salam, Zainal, et al.. (2021). Stateflow-Based Energy Management Strategy for Hybrid Energy System to Mitigate Load Shedding. Applied Sciences. 11(10). 4601–4601. 22 indexed citations
9.
Shareef, Hussain, et al.. (2018). Novel dynamic semiempirical proton exchange membrane fuel cell model incorporating component voltages. International Journal of Energy Research. 42(8). 2615–2630. 24 indexed citations
10.
Khalid, S.N., et al.. (2018). Residential Energy Consumption Management Using Arduino Microcontroller. Advanced Science Letters. 24(6). 3887–3893. 8 indexed citations
11.
Khalid, S.N., et al.. (2017). Calibration of ZMPT101B voltage sensor module using polynomial regression for accurate load monitoring. ARPN Journal of Engineering and Applied Sciences. 12(4). 1076–1084. 31 indexed citations
12.
Mustafa, Mohd Wazir, et al.. (2016). Wavelet-based short-term load forecasting using optimized anfis. ARPN Journal of Engineering and Applied Sciences. 11(11). 6920–6927. 1 indexed citations
13.
Khalid, S.N., et al.. (2016). Recent approaches and applications of non-intrusive load monitoring. ARPN Journal of Engineering and Applied Sciences. 11(7). 4609–4618. 7 indexed citations
14.
Zadehbagheri, Mahmoud, et al.. (2013). Optimal placement of D-STATCOM using hybrid genetic and ant colony algorithm to losses reduction. International Journal of Applied Power Engineering (IJAPE). 2(2). 53–60. 13 indexed citations
15.
Sulaiman, Mohd Herwan, Mohd Wazir Mustafa, Omar Aliman, S.N. Khalid, & Hussain Shareef. (2010). Real and reactive power flow allocation in deregulated power system utilizing genetic-support vector machine technique. International Review of Electrical Engineering (IREE). 5(5). 2199–2208. 8 indexed citations
16.
Mustafa, Mohd Wazir, Hussain Shareef, Akhtar Kalam, et al.. (2009). Real power loss allocation using modified nodal equations for deregulated power system. Victoria University Research Repository (Victoria University). 1–6. 3 indexed citations
17.
Khalid, S.N., Mohd Wazir Mustafa, Hussain Shareef, et al.. (2008). A novel reactive power transfer allocation method with the application of artificial neural network. Deakin Research Online (Deakin University). 1 indexed citations
18.
Khalid, S.N., et al.. (2008). Implementation of artificial neural network to allocate transmission usage in bilateral trade power market. Acquire (CQUniversity). 2 indexed citations
19.
Shareef, Hussain, Mohd Wazir Mustafa, S.N. Khalid, et al.. (2008). Real and Reactive Power Transfer Allocation Utilizing Modified Nodal Equations. International Journal of Emerging Electric Power Systems. 9(6). 10 indexed citations
20.
Mustafa, Mohd Wazir, Azhar Khairuddin, Hussain Shareef, & S.N. Khalid. (2007). Identification of source to sink relationship in deregulated power systems using artificial neural network. International Power Engineering Conference. 6–11. 6 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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