Sadaf Noreen
About
Sadaf Noreen is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics.
According to data from OpenAlex, Sadaf Noreen has authored 26 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 16 papers in Materials Chemistry and 6 papers in Polymers and Plastics. Recurrent topics in Sadaf Noreen's work include Organic Electronics and Photovoltaics (9 papers), Perovskite Materials and Applications (6 papers) and Conducting polymers and applications (6 papers). Sadaf Noreen is often cited by papers focused on Organic Electronics and Photovoltaics (9 papers), Perovskite Materials and Applications (6 papers) and Conducting polymers and applications (6 papers). Sadaf Noreen collaborates with scholars based in Pakistan, Saudi Arabia and Türkiye. Sadaf Noreen's co-authors include Sajjad Hussain Sumrra, Abrar U. Hassan, Muhammad Imran, Ghulam Mustafa, Ayesha Mohyuddin, Zahid H. Chohan, Cihat Güleryüz, Wardha Zafar, M. Irfan and Hussein Ali Kadhim Kyhoiesh and has published in prestigious journals such as Solar Energy, Molecular Physics and Journal of Photochemistry and Photobiology A Chemistry.
In The Last Decade
Sadaf Noreen
21 papers receiving 349 citations
Peers
Sadaf Noreen
Wajda Smirani Tunisia
Perumal Venkatesan India
Talat Özpozan Türkiye
R. Fouad Egypt
Rachida Rahmani Algeria
Kehkashan Alam India
Stanislav I. Bezzubov Russia
Youcef Megrouss Algeria
Mariya A. Kryukova Russia
Citations per year, relative to Sadaf Noreen Sadaf Noreen (= 1×)
peers
Wajda Smirani
Countries citing papers authored by Sadaf Noreen
Since
Specialization
Citations
This map shows the geographic impact of Sadaf Noreen'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 Sadaf Noreen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sadaf Noreen more than expected).
Fields of papers citing papers by Sadaf Noreen
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Sadaf Noreen. 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 Sadaf Noreen. The network helps show where Sadaf Noreen may publish in the future.
Co-authorship network of co-authors of Sadaf Noreen
This figure shows the co-authorship network connecting the top 25 collaborators of Sadaf Noreen. A scholar is included among the top collaborators of Sadaf Noreen 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 Sadaf Noreen. Sadaf Noreen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Güleryüz, Cihat, Sajjad Hussain Sumrra, Abrar U. Hassan, et al.. (2025). A machine learning analysis to predict the stability driven structural correlations of selenium-based compounds as surface enhanced materials. Materials Chemistry and Physics. 339. 130786–130786.
2.
Sumrra, Sajjad Hussain, Mamduh J. Aljaafreh, Sadaf Noreen, & Abrar U. Hassan. (2025). Machine Learning–Assisted Design of Ytterbium-Based Materials with Tunable Bandgaps and Enhanced Stability. Brazilian Journal of Physics. 55(3).
3.
Aljaafreh, Mamduh J., Sajjad Hussain Sumrra, & Sadaf Noreen. (2025). A reverse engineering descriptor tokenization machine learning analysis to design new triphenylamine chromophores with tunable absorption/emission. Materials Today Communications. 46. 112632–112632.
4.
Aljaafreh, Mamduh J., Sajjad Hussain Sumrra, & Sadaf Noreen. (2025). Predicting Stokes Shifts of Fluorescent Chromophores Using Ensemble Learning and H2OAutoML. Journal of Fluorescence. 35(12). 12397–12409.
5.
Waheeb, Azal S., Sajjad Hussain Sumrra, Sadaf Noreen, et al.. (2025). Exploring New Azobenzene Type Photoswitches by Machine Learning with Lowest Possible Fluorescence Excitons with Ease of Synthesis. Journal of Fluorescence. 35(11). 10701–10712.
6.
Noreen, Sadaf, Sajjad Hussain Sumrra, Hussein Ali Kadhim Kyhoiesh, et al.. (2025). Deciphering structural and electronic basis of silicon carbide quantum dots for photovoltaic performance: A DFT and molecular correlational analysis. Journal of Molecular Graphics and Modelling. 138. 109040–109040.
7.
Aljaafreh, Mamduh J., Sajjad Hussain Sumrra, Abrar U. Hassan, & Sadaf Noreen. (2025). Simpler to better: A machine learning-multioutput Gaussian process analysis to design small molecule motors for visible range photo switching attributes. Dyes and Pigments. 243. 113074–113074.
8.
Hassan, Abrar U., Cihat Güleryüz, Sajjad Hussain Sumrra, Sadaf Noreen, & M.H.H. Mahmoud. (2025). A rapid UV/Vis assisted designing of benzodithiophene based polymers by machine learning to predict their light absorption for photovoltaics. Organic Electronics. 141. 107227–107227.
9.
Güleryüz, Cihat, Sajjad Hussain Sumrra, Abrar U. Hassan, et al.. (2025). A fast and efficient machine learning assisted prediction of urea and its derivatives to screen crystal propensity with experimental validation. Materials Today Communications. 43. 111692–111692.
10.
Güleryüz, Cihat, Sajjad Hussain Sumrra, Abrar U. Hassan, et al.. (2025). Benzothiophene semiconductor polymer design by machine learning with low exciton binding energy: A vast chemical space generation for new structures. Materials Science in Semiconductor Processing. 190. 109331–109331.
11.
Noreen, Sadaf, Sajjad Hussain Sumrra, Abrar U. Hassan, et al.. (2025). Machine Learning Assisted Bithiophene Based Donor Acceptor Selection to Design New Fluoresent Dyes for Photovoltaic Applications. Journal of Fluorescence. 35(9). 7785–7795.
12.
Hassan, Abrar U., Sajjad Hussain Sumrra, Ayesha Mohyuddin, et al.. (2024). Design strategy of microbially produced semiconductor maquettes of Cu2Se4SnZn8+ crystal alloy for enhanced harmonic generations. Computational and Theoretical Chemistry. 1234. 114533–114533.
13.
Güleryüz, Cihat, Sajjad Hussain Sumrra, Abrar U. Hassan, et al.. (2024). A machine learning and DFT assisted analysis of benzodithiophene based organic dyes for possible photovoltaic applications. Journal of Photochemistry and Photobiology A Chemistry. 460. 116157–116157.
14.
Waheeb, Azal S., Abrar U. Hassan, Sajjad Hussain Sumrra, et al.. (2024). Evaluating the electronic and structural basis of carbon selenide-based quantum dots as photovoltaic design materials: A DFT and ML analysis. Solar Energy. 284. 113068–113068.
15.
Hassan, Abrar U., Sajjad Hussain Sumrra, Yuchuan Li, et al.. (2023). DFT exploration: Optical and conduction band switching in indaceno donor moiety and its TiO2 adsorbed complexes for an efficient ON-OFF ratio. Materials Science and Engineering B. 298. 116855–116855.
16.
Hassan, Abrar U., et al.. (2023). Enhancing NLO performance by utilizing tyrian purple dye as donor moiety in organic DSSCs with end capped acceptors: A theoretical study. Journal of Molecular Graphics and Modelling. 124. 108538–108538.
17.
Hassan, Abrar U., Sajjad Hussain Sumrra, Muhammad Zubair, et al.. (2023). Correlating the charge density and structural fabrication of new organic dyes to create visible light harvesting materials with tunable NLO refining: insights from DFT. Chemical Papers. 77(10). 6183–6202.
18.
Hassan, Abrar U., et al.. (2023). DFT-guided structural modeling of end-group acceptors at Y123 core for sensitizers as high-performance organic solar dyes and NLO responses. Journal of Molecular Modeling. 29(8). 262–262.
19.
Hassan, Abrar U., Sajjad Hussain Sumrra, Ghulam Mustafa, et al.. (2023). Creating intense and refined NLO responses by utilizing dual donor structural designs in A-π-D-π-D-π-A type organic switches: computed device parameters. Structural Chemistry. 34(6). 2021–2038.
20.
Noreen, Sadaf & Sajjad Hussain Sumrra. (2022). Correlating the charge transfer efficiency of metallic sulfa-isatins to design efficient NLO materials with better drug designs. BioMetals. 35(3). 519–548.
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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