Abrar U. Hassan

1.7k total citations
108 papers, 1.3k citations indexed

About

Abrar U. Hassan is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Abrar U. Hassan has authored 108 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Materials Chemistry, 43 papers in Electrical and Electronic Engineering and 37 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Abrar U. Hassan's work include Nonlinear Optical Materials Research (33 papers), Organic Electronics and Photovoltaics (24 papers) and Conducting polymers and applications (19 papers). Abrar U. Hassan is often cited by papers focused on Nonlinear Optical Materials Research (33 papers), Organic Electronics and Photovoltaics (24 papers) and Conducting polymers and applications (19 papers). Abrar U. Hassan collaborates with scholars based in Pakistan, Saudi Arabia and China. Abrar U. Hassan's co-authors include Sajjad Hussain Sumrra, Muhammad Imran, Ayesha Mohyuddin, Cihat Güleryüz, Muhammad Nadeem Zafar, Muhammad Faizan Nazar, Wardha Zafar, Sadaf Noreen, Zahid H. Chohan and Ghulam Mustafa and has published in prestigious journals such as Chemical Engineering Science, Solar Energy and RSC Advances.

In The Last Decade

Abrar U. Hassan

102 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abrar U. Hassan Pakistan	20	453	374	367	319	253	108	1.3k
Terkumbur E. Gber Nigeria	23	600 1.3×	654 1.7×	313 0.9×	373 1.2×	150 0.6×	76	1.5k
Tomsmith O. Unimuke Nigeria	25	755 1.7×	633 1.7×	423 1.2×	335 1.1×	204 0.8×	71	1.6k
Partha Sarathi Guin India	22	308 0.7×	483 1.3×	206 0.6×	277 0.9×	288 1.1×	47	1.4k
Adedapo S. Adeyinka South Africa	26	767 1.7×	920 2.5×	376 1.0×	465 1.5×	192 0.8×	110	1.9k
Zakir Ullah South Korea	26	803 1.8×	838 2.2×	362 1.0×	351 1.1×	133 0.5×	74	2.0k
Safeer Ahmed Pakistan	25	504 1.1×	470 1.3×	306 0.8×	578 1.8×	358 1.4×	100	1.7k
Sunita Salunke‐Gawali India	22	620 1.4×	429 1.1×	282 0.8×	133 0.4×	265 1.0×	103	1.5k
Ataf Ali Altaf Pakistan	23	876 1.9×	387 1.0×	176 0.5×	262 0.8×	380 1.5×	95	1.7k
Jehan Y. Al‐Humaidi Saudi Arabia	22	409 0.9×	453 1.2×	263 0.7×	475 1.5×	77 0.3×	137	1.4k
Nabil Al‐Zaqri Saudi Arabia	26	514 1.1×	765 2.0×	263 0.7×	339 1.1×	186 0.7×	95	1.7k

Countries citing papers authored by Abrar U. Hassan

Since Specialization

Citations

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

Fields of papers citing papers by Abrar U. Hassan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abrar U. Hassan. 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 Abrar U. Hassan. The network helps show where Abrar U. Hassan may publish in the future.

Co-authorship network of co-authors of Abrar U. Hassan

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

All Works

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20 of 20 papers shown

Hassan, Abrar U., Cihat Güleryüz, Islam H. El Azab, Ashraf Y. Elnaggar, & M.H.H. Mahmoud. (2025). Exploring the structural basis of crystals that affect nonlinear optical responses: An experimental and machine learning quest. Optical Materials. 160. 116783–116783. 5 indexed citations

Güleryüz, Cihat, Abrar U. Hassan, Hasan Güleryüz, Hussein Ali Kadhim Kyhoiesh, & M.H.H. Mahmoud. (2025). A machine learning assisted designing and chemical space generation of benzophenone based organic semiconductors with low lying LUMO energies. Materials Science and Engineering B. 317. 118212–118212. 5 indexed citations

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. 4 indexed citations

Güleryüz, Cihat, Sajjad Hussain Sumrra, Abrar U. Hassan, Ayesha Mohyuddin, & Mohamed Mahmoud. (2025). A machine learning and data-oriented quest to screen the degree of long-range order/disorder in polymeric materials. Materials Today Communications. 43. 111624–111624. 2 indexed citations

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). 1 indexed citations

Hassan, Abrar U., et al.. (2025). Design and DFT/TD-DFT study of cyclophosphamide adsorption on pristine and metal-doped B12N12 nanostructures for targeted drug delivery. Structural Chemistry. 37(2). 621–632.

Güleryüz, Cihat, Ayesha Mohyuddin, & Abrar U. Hassan. (2024). Exploration of deep UV-NLO responses of non-conjugated crystal systems by harnessing aprotic solvents: DFT vs experimental. Optical Materials. 156. 116023–116023. 3 indexed citations

Khan, Muhammad Usman, Junaid Yaqoob, Riaz Hussain, et al.. (2024). Systematic study of the structure-property relationship of C24N24 nanoclusters for the detection and electrochemical sensing of chemical warfare agents: Molecular modelling at DFT level. Journal of Molecular Structure. 1307. 137905–137905. 11 indexed citations

Hassan, Abrar U., Syed Shoaib Ahmad Shah, Hala M. Abo‐Dief, et al.. (2024). Polymer design using machine learning: A quest for high glass transition temperature. Synthetic Metals. 307. 117659–117659. 7 indexed citations

10.

Khan, Muhammad Usman, et al.. (2024). Synergistic charge-transfer dynamics of novel benzothiadiazole-based donor materials for higher power conversion efficiency: From structural engineering to efficiency assessment in non-fullerene organic solar cells. Journal of the Indian Chemical Society. 101(11). 101418–101418. 2 indexed citations

11.

Yaqoob, Junaid, et al.. (2024). Deciphering the impact of superalkali metals [M3O (M = Li, Na, K)] doping on sulflower for enhanced NLO responses with efficient energetic offsets: A density functional theory perspective. Computational and Theoretical Chemistry. 1238. 114742–114742. 5 indexed citations

12.

Güleryüz, Cihat, Azal S. Waheeb, Abrar U. Hassan, et al.. (2024). Molecular engineering on tyrian puprle natural dye as TiO2 based fined tuned photovoltaic dye material: DFT molecular analysis. Journal of Molecular Graphics and Modelling. 134. 108894–108894. 15 indexed citations

13.

Khan, Muhammad Usman, et al.. (2024). Molecular modeling of B₂₄O₂₄ scaffolds for the electrochemical sensing and detection of nitrosourea and hydroxyurea drugs: Insight from DFT calculations. Modern Physics Letters B. 39(12). 3 indexed citations

14.

Khan, Muhammad Usman, et al.. (2024). Synergistic charge-transfer dynamics of novel pyridoquinazolindone-containing triphenylamine-based push–pull chromophores: from structural optimization to performance metrics in photovoltaic solar cells and static, dynamic, solvent-dependent nonlinear optical response applications. RSC Advances. 14(44). 32482–32500. 6 indexed citations

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. 7 indexed citations

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. 19 indexed citations

17.

Mustafa, Ghulam, Sajjad Hussain Sumrra, Wardha Zafar, et al.. (2023). Synthesis, structure elucidation, SC-XRD/DFT, molecular modelling simulations and DNA binding studies of 3,5-diphenyl-4,5-dihydro-1 H -pyrazole chalcones. Journal of Biomolecular Structure and Dynamics. 43(4). 1831–1846. 20 indexed citations

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. 18 indexed citations

19.

Amjad, Muhammad Asif, Ayesha Mohyuddin, Mohsin Javed, et al.. (2023). Biosynthesis of Silver Nanoparticles Using Kitchen Vegetable Waste Extract for Application against Poultry Pathogens, Antimicrobial Activity, and Photocatalytic Dye Degradation. Journal of Chemistry. 2023. 1–10. 8 indexed citations

20.

Fatima, Batool, Ayesha Mohyuddin, Abrar U. Hassan, et al.. (2023). Removal of Cd(II) and Pb(II) from synthetic wastewater using Rosa damascena waste as a biosorbent: An insight into adsorption mechanisms, kinetics, and thermodynamic studies. Chemical Engineering Science. 280. 119072–119072. 63 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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