Nuzhat Khan

634 total citations · 1 hit paper
24 papers, 403 citations indexed

About

Nuzhat Khan is a scholar working on Electrical and Electronic Engineering, Ecology and Control and Systems Engineering. According to data from OpenAlex, Nuzhat Khan has authored 24 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 7 papers in Ecology and 6 papers in Control and Systems Engineering. Recurrent topics in Nuzhat Khan's work include Hybrid Renewable Energy Systems (6 papers), Microgrid Control and Optimization (6 papers) and Coconut Research and Applications (4 papers). Nuzhat Khan is often cited by papers focused on Hybrid Renewable Energy Systems (6 papers), Microgrid Control and Optimization (6 papers) and Coconut Research and Applications (4 papers). Nuzhat Khan collaborates with scholars based in Malaysia, Pakistan and Nigeria. Nuzhat Khan's co-authors include Mohamad Anuar Kamaruddin, Yusri Yusup, Mamunur Rashid, Bifta Sama Bari, Usman Ullah Sheikh, Zainal Salam, Abdul Rauf Bhatti, Mohd Norzali Haji Mohd, Yohei Sato and S.N. Khalid and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Nuzhat Khan

20 papers receiving 369 citations

Hit Papers

A Comprehensive Review of Crop Yield Prediction Using Mac... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nuzhat Khan Malaysia 10 177 93 55 53 42 24 403
Feifei Yang China 11 104 0.6× 58 0.6× 92 1.7× 27 0.5× 32 0.8× 30 358
Junfeng Hu China 10 134 0.8× 24 0.3× 48 0.9× 52 1.0× 25 0.6× 22 376
Jiayu Yang China 9 157 0.9× 246 2.6× 73 1.3× 82 1.5× 16 0.4× 19 497
Seema India 10 36 0.2× 21 0.2× 106 1.9× 36 0.7× 83 2.0× 54 340
Camilo Franco Denmark 10 61 0.3× 19 0.2× 28 0.5× 57 1.1× 10 0.2× 30 298
Abdennabi Morchid Morocco 12 231 1.3× 24 0.3× 87 1.6× 10 0.2× 19 0.5× 18 501
Tomohiro Takigawa Japan 9 106 0.6× 49 0.5× 22 0.4× 58 1.1× 41 1.0× 47 312
Abbas Asakereh Iran 11 142 0.8× 114 1.2× 40 0.7× 37 0.7× 8 0.2× 27 623
Mahady Hasan Bangladesh 11 85 0.5× 41 0.4× 59 1.1× 26 0.5× 27 0.6× 104 597
Farshad Soheilifard Iran 11 112 0.6× 244 2.6× 31 0.6× 9 0.2× 10 0.2× 18 533

Countries citing papers authored by Nuzhat Khan

Since Specialization
Citations

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

Fields of papers citing papers by Nuzhat Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nuzhat Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Nuzhat Khan. A scholar is included among the top collaborators of Nuzhat Khan 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 Nuzhat Khan. Nuzhat Khan 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.
Khan, Nuzhat, et al.. (2025). Systematic Literature Review of Machine Learning Models and Applications for Text Recognition. IEEE Access. 13. 177647–177670.
2.
Rahman, Ab Al-Hadi Ab, et al.. (2025). Lightweight and high-precision spectral convolutional neural network model for custom 94-class ASCII character recognition. Neural Computing and Applications. 37(21). 16883–16904.
3.
Mohd, Mohd Norzali Haji, et al.. (2025). Advanced automated machine learning framework for photovoltaic power output prediction using environmental parameters and SHAP interpretability. Results in Engineering. 25. 103838–103838. 15 indexed citations
4.
Mohd, Mohd Norzali Haji, et al.. (2024). Optimal Design and Performance Analysis of Hybrid Renewable Energy System for Ensuring Uninterrupted Power Supply During Load Shedding. IEEE Access. 12. 5792–5813. 11 indexed citations
5.
Khan, Nuzhat, et al.. (2024). Climate-Smart Agriculture: A Path to Sustainable Food Production. 2(Special.Issue). 130–147. 1 indexed citations
6.
Mohd, Mohd Norzali Haji, et al.. (2024). Impact of electric vehicles and photovoltaic systems on power grids: A comprehensive survey. AIP conference proceedings. 3245. 20002–20002. 1 indexed citations
7.
Mohd, Mohd Norzali Haji, et al.. (2024). Application of Machine Learning to Forecast Solar Photovoltaic Output Power. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences. 120(1). 1–12.
8.
Mohd, Mohd Norzali Haji, et al.. (2023). A community scale hybrid renewable energy system for sustainable power supply during load shedding. Indonesian Journal of Electrical Engineering and Computer Science. 31(1). 33–33. 4 indexed citations
9.
Khan, Nuzhat, Mohamad Anuar Kamaruddin, Usman Ullah Sheikh, et al.. (2022). Prediction of Oil Palm Yield Using Machine Learning in the Perspective of Fluctuating Weather and Soil Moisture Conditions: Evaluation of a Generic Workflow. Plants. 11(13). 1697–1697. 22 indexed citations
10.
11.
Salam, Zainal, et al.. (2022). Techno-economic modelling of hybrid energy system to overcome the load shedding problem: A case study of Pakistan. PLoS ONE. 17(4). e0266660–e0266660. 18 indexed citations
12.
Salam, Zainal, et al.. (2022). A Solution to Mitigate Load Shedding Problem using Hybrid Energy System: Case Study of Pakistan. 7. 134–138. 1 indexed citations
13.
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
14.
Rashid, Mamunur, Bifta Sama Bari, Yusri Yusup, Mohamad Anuar Kamaruddin, & Nuzhat Khan. (2021). A Comprehensive Review of Crop Yield Prediction Using Machine Learning Approaches With Special Emphasis on Palm Oil Yield Prediction. IEEE Access. 9. 63406–63439. 193 indexed citations breakdown →
15.
Khan, Nuzhat, et al.. (2021). Oil Palm and Machine Learning: Reviewing One Decade of Ideas, Innovations, Applications, and Gaps. Agriculture. 11(9). 832–832. 39 indexed citations
16.
Amjad, Shahid, et al.. (2020). Coral Community: Preliminary Biodiversity Survey of Churna Island, Northern Arabian Sea. SHILAP Revista de lepidopterología. 39(2). 390–397. 1 indexed citations
17.
Khan, Nuzhat, et al.. (2014). An Integrated Life-Time Artificial Lift Selection Approach for Tight/Shale Oil Production. SPE Hydrocarbon Economics and Evaluation Symposium. 9 indexed citations
18.
Kutay, Huban, Bo Wang, Shu‐Hao Hsu, et al.. (2012). Reduced Susceptibility of DNA Methyltransferase 1 Hypomorphic (Dnmt1N/+) Mice to Hepatic Steatosis upon Feeding Liquid Alcohol Diet. PLoS ONE. 7(8). e41949–e41949. 20 indexed citations
19.
Khan, Nuzhat, et al.. (2010). Organochlorine pesticides (OCPs) contaminants in sediments from Karachi harbour, Pakistan. Journal of the chemical society of pakistan. 32(4). 542–549. 10 indexed citations
20.
Khan, Nuzhat & Yohei Sato. (2002). Environmental land degradation assessment in semi-arid Indus basin area using IRS-1B LISS-II data. 5. 2100–2102. 7 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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