Upma Singh

522 total citations
13 papers, 328 citations indexed

About

Upma Singh is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Upma Singh has authored 13 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Upma Singh's work include Energy Load and Power Forecasting (9 papers), Solar Radiation and Photovoltaics (5 papers) and Electric Power System Optimization (4 papers). Upma Singh is often cited by papers focused on Energy Load and Power Forecasting (9 papers), Solar Radiation and Photovoltaics (5 papers) and Electric Power System Optimization (4 papers). Upma Singh collaborates with scholars based in India, Malaysia and Saudi Arabia. Upma Singh's co-authors include M. Rizwan, M. Rizwan, Muhannad Alaraj, Ibrahim Alsaidan, Hasmat Malik, Fausto Pedro Garcı́a Márquez, Saket Gupta, Majed A. Alotaibi and Sandeep Singh and has published in prestigious journals such as Energies, Energy Reports and IET Renewable Power Generation.

In The Last Decade

Upma Singh

10 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Upma Singh India	8	183	75	55	50	34	13	328
Lina Alhmoud Jordan	10	222 1.2×	48 0.6×	82 1.5×	29 0.6×	37 1.1×	22	342
Rafael Peña Gallardo Mexico	10	244 1.3×	72 1.0×	121 2.2×	47 0.9×	39 1.1×	54	348
Lijie Wang China	11	298 1.6×	109 1.5×	35 0.6×	61 1.2×	23 0.7×	29	401
Emrah Dokur Türkiye	12	287 1.6×	94 1.3×	47 0.9×	60 1.2×	51 1.5×	43	374
Yanhui Qiao China	7	278 1.5×	158 2.1×	80 1.5×	106 2.1×	74 2.2×	15	406
Haiqing Shi China	9	214 1.2×	22 0.3×	86 1.6×	58 1.2×	37 1.1×	15	434
Yang Cui China	14	338 1.8×	104 1.4×	69 1.3×	54 1.1×	63 1.9×	38	559
Abhishek Rajan India	11	327 1.8×	79 1.1×	126 2.3×	19 0.4×	23 0.7×	23	543
Emily Fertig United States	6	286 1.6×	89 1.2×	65 1.2×	100 2.0×	40 1.2×	8	465
Noha H. El-Amary Egypt	14	245 1.3×	36 0.5×	146 2.7×	23 0.5×	33 1.0×	49	370

Countries citing papers authored by Upma Singh

Since Specialization

Citations

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

Fields of papers citing papers by Upma Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Upma Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Upma Singh. A scholar is included among the top collaborators of Upma Singh 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 Upma Singh. Upma Singh 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:

13 of 13 papers shown

Singh, Upma, et al.. (2026). Photovoltaic Power Forecasting: A Review on Models and Future Research Directions. IET Renewable Power Generation. 20(1).

Singh, Upma, et al.. (2025). Forecasting rooftop photovoltaic solar power using machine learning techniques. Energy Reports. 13. 3616–3630. 9 indexed citations

Singh, Upma, et al.. (2024). Customer Retention Modeling over the OTT Platform using Machine Learning. Indian Journal of Science and Technology. 17(42). 4365–4371. 1 indexed citations

Singh, Upma, et al.. (2024). Improving solar power forecast from meteorological parameters with regression models. Energy Sources Part A Recovery Utilization and Environmental Effects. 46(1). 2405–2420.

Singh, Upma, M. Rizwan, Hasmat Malik, & Fausto Pedro Garcı́a Márquez. (2022). Wind Energy Scenario, Success and Initiatives towards Renewable Energy in India—A Review. Energies. 15(6). 2291–2291. 58 indexed citations

Singh, Upma & M. Rizwan. (2022). Analysis of wind turbine dataset and machine learning based forecasting in SCADA-system. Journal of Ambient Intelligence and Humanized Computing. 14(6). 8035–8044. 31 indexed citations

Singh, Upma & M. Rizwan. (2022). Enhancing wind power forecasting from meteorological parameters using machine learning models. Journal of Renewable and Sustainable Energy. 14(6). 6 indexed citations

Singh, Upma & M. Rizwan. (2022). SCADA system dataset exploration and machine learning based forecast for wind turbines. Results in Engineering. 16. 100640–100640. 49 indexed citations

Singh, Upma & M. Rizwan. (2022). A feasibility study and cost benefit analysis of an off-grid hybrid system for a rural area electrification. 3-4. 100031–100031. 14 indexed citations

10.

Singh, Upma, M. Rizwan, Muhannad Alaraj, & Ibrahim Alsaidan. (2021). A Machine Learning-Based Gradient Boosting Regression Approach for Wind Power Production Forecasting: A Step towards Smart Grid Environments. Energies. 14(16). 5196–5196. 144 indexed citations

11.

Singh, Upma & M. Rizwan. (2021). A Systematic Review on Selected Applications and Approaches of Wind Energy Forecasting and Integration. Journal of The Institution of Engineers (India) Series B. 102(5). 1061–1078. 9 indexed citations

12.

Singh, Upma & M. Rizwan. (2018). Analysis of Fuzzy Logic, ANN and ANFIS based Models for the Forecasting of Wind Power. 1–7. 7 indexed citations

13.

Rizwan, M., et al.. (2012). Prediction of wind energy using intelligent approach. 2. 1–5.

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.

Explore authors with similar magnitude of impact