Ushtar Arshad

430 total citations · 1 hit paper
21 papers, 300 citations indexed

About

Ushtar Arshad is a scholar working on Renewable Energy, Sustainability and the Environment, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ushtar Arshad has authored 21 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Renewable Energy, Sustainability and the Environment, 6 papers in Aerospace Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Ushtar Arshad's work include Risk and Safety Analysis (6 papers), Combustion and Detonation Processes (6 papers) and Fuel Cells and Related Materials (5 papers). Ushtar Arshad is often cited by papers focused on Risk and Safety Analysis (6 papers), Combustion and Detonation Processes (6 papers) and Fuel Cells and Related Materials (5 papers). Ushtar Arshad collaborates with scholars based in Malaysia, Pakistan and Saudi Arabia. Ushtar Arshad's co-authors include Azizul Buang, Syed Ali Ammar Taqvi, Sharjeel Waqas, Noorfidza Yub Harun, Nik Abdul Hadi Md Nordin, Muhammad Roil Bilad, Ali Awad, Serene Sow Mun Lock, Jiayi Tang and Anwar Ameen Hezam Saeed and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Chemosphere.

In The Last Decade

Ushtar Arshad

21 papers receiving 292 citations

Hit Papers

Undoped ruthenium oxide as a stable catalyst for the acid... 2025 2026 2025 5 10 15 20 25

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ushtar Arshad Malaysia 10 81 62 62 56 46 21 300
Kerron J. Gabriel United States 9 74 0.9× 97 1.6× 73 1.2× 24 0.4× 35 0.8× 10 380
Amirhossein Khalili‐Garakani Iran 11 77 1.0× 135 2.2× 78 1.3× 40 0.7× 66 1.4× 28 402
Dongchuan Xu China 9 69 0.9× 21 0.3× 46 0.7× 56 1.0× 8 0.2× 11 399
Javad Asadi United States 11 26 0.3× 89 1.4× 70 1.1× 43 0.8× 34 0.7× 19 353
Xiaohui Ren China 7 70 0.9× 19 0.3× 43 0.7× 42 0.8× 24 0.5× 19 315
Abderrazak M. Latifi France 8 40 0.5× 17 0.3× 36 0.6× 15 0.3× 9 0.2× 28 288
Sukanta K. Mondal United States 10 22 0.3× 28 0.5× 25 0.4× 98 1.8× 54 1.2× 29 291
Arsalan Parvareh Iran 12 94 1.2× 29 0.5× 146 2.4× 56 1.0× 22 0.5× 25 345
Arif Hussain South Korea 15 87 1.1× 28 0.5× 186 3.0× 116 2.1× 58 1.3× 36 501

Countries citing papers authored by Ushtar Arshad

Since Specialization
Citations

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

Fields of papers citing papers by Ushtar Arshad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ushtar Arshad

This figure shows the co-authorship network connecting the top 25 collaborators of Ushtar Arshad. A scholar is included among the top collaborators of Ushtar Arshad 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 Ushtar Arshad. Ushtar Arshad 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.
Lock, Serene Sow Mun, et al.. (2025). Molecular simulation and ANN modelling for Cadmium (Cd) and Lead (Pb) adsorption from water using zeolites. Results in Engineering. 25. 104517–104517. 7 indexed citations
3.
Tang, Jiayi, Daqin Guan, Hengyue Xu, et al.. (2025). Undoped ruthenium oxide as a stable catalyst for the acidic oxygen evolution reaction. Nature Communications. 16(1). 801–801. 29 indexed citations breakdown →
4.
Nawaz, Rab, Ushtar Arshad, ‪Marlia M. Hanafiah‬, et al.. (2025). Visible-driven industrial wastewater remediation using black titania: optimization, energy consumption, treatment, and material preparation costs estimation. Chemical Engineering Science. 306. 121257–121257. 2 indexed citations
5.
Hanafiah‬, ‪Marlia M., Rab Nawaz, Aamer Ikram, et al.. (2025). TiO 2 -mediated visible-driven photocatalytic degradation of phenolic compounds: predictive modeling and optimization via machine learning techniques. Chemical Engineering Communications. 212(9). 1362–1381. 3 indexed citations
6.
Arshad, Ushtar, Jiayi Tang, & Zongping Shao. (2025). Replace Platinum for Hydrogen Evolution Reaction in the Cathode of Proton Exchange Membrane Water Electrolyzers. SusMat. 5(2). 5 indexed citations
7.
Arshad, Ushtar, Jiayi Tang, & Zongping Shao. (2025). Replace Platinum for Hydrogen Evolution Reaction in the Cathode of Proton Exchange Membrane Water Electrolyzers. SusMat. 5(2). 4 indexed citations
9.
Abioye, Kunmi Joshua, Noorfidza Yub Harun, Ushtar Arshad, et al.. (2024). Response surface methodology and artificial neural network modelling of palm oil decanter cake and alum sludge co-gasification for syngas (CO+H2) production. International Journal of Hydrogen Energy. 84. 200–214. 15 indexed citations
10.
Nawaz, Rab, ‪Marlia M. Hanafiah‬, Mujahid Ali, et al.. (2024). Review of the performance and energy requirements of metals modified TiO2 materials based photocatalysis for phenolic compounds degradation: A case of agro-industrial effluent. Journal of environmental chemical engineering. 12(3). 112766–112766. 9 indexed citations
11.
Yeong, Yin Fong, et al.. (2024). Selective acid gas separation from diatomic nonmetal gas via ZIF-8 membrane: Taguchi analysis and neural network modeling. Results in Engineering. 24. 103102–103102. 4 indexed citations
12.
Rusli, Risza, et al.. (2024). Grid‐based assessment of hydrogen leakages for an offshore process to improve the design and human performance. Process Safety Progress. 43(S1). 3 indexed citations
14.
Lock, Serene Sow Mun, et al.. (2023). Screening of Metal Oxides and Hydroxides for Arsenic Removal from Water Using Molecular Dynamics Simulations. ACS Omega. 8(50). 48130–48144. 6 indexed citations
15.
Waqas, Sharjeel, Noorfidza Yub Harun, Ushtar Arshad, et al.. (2023). Optimization of operational parameters using RSM, ANN, and SVM in membrane integrated with rotating biological contactor. Chemosphere. 349. 140830–140830. 40 indexed citations
16.
Irfan, Muhammad, Sharjeel Waqas, Ushtar Arshad, et al.. (2022). Response Surface Methodology and Artificial Neural Network Modelling of Membrane Rotating Biological Contactors for Wastewater Treatment. Materials. 15(5). 1932–1932. 29 indexed citations
17.
Arshad, Ushtar, Syed Ali Ammar Taqvi, & Azizul Buang. (2022). Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust. Fuel. 324. 124569–124569. 21 indexed citations
18.
Waqas, Sharjeel, Noorfidza Yub Harun, Ushtar Arshad, et al.. (2022). SVM and ANN Modelling Approach for the Optimization of Membrane Permeability of a Membrane Rotating Biological Contactor for Wastewater Treatment. Membranes. 12(9). 821–821. 36 indexed citations
19.
Arshad, Ushtar, Syed Ali Ammar Taqvi, & Azizul Buang. (2021). Modelling of the minimum ignition temperature (MIT) of corn dust using statistical analysis and artificial neural networks based on the synergistic effect of concentration and dispersion pressure. Process Safety and Environmental Protection. 147. 742–755. 27 indexed citations
20.
Arshad, Ushtar, Syed Ali Ammar Taqvi, Azizul Buang, & Ali Awad. (2021). SVM, ANN, and PSF modelling approaches for prediction of iron dust minimum ignition temperature (MIT) based on the synergistic effect of dispersion pressure and concentration. Process Safety and Environmental Protection. 152. 375–390. 32 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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