Aneela Zameer

4.1k total citations · 3 hit papers
67 papers, 3.2k citations indexed

About

Aneela Zameer is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Aneela Zameer has authored 67 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 20 papers in Electrical and Electronic Engineering and 11 papers in Aerospace Engineering. Recurrent topics in Aneela Zameer's work include Energy Load and Power Forecasting (13 papers), Network Security and Intrusion Detection (8 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Aneela Zameer is often cited by papers focused on Energy Load and Power Forecasting (13 papers), Network Security and Intrusion Detection (8 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Aneela Zameer collaborates with scholars based in Pakistan, Taiwan and Australia. Aneela Zameer's co-authors include Farah Shahid, Muhammad Asif Zahoor Raja, Muhammad Muneeb, Ammara Mehmood, Asifullah Khan, Anila Usman, Aqsa Saeed Qureshi, Naveed Ishtiaq Chaudhary, Junaid Arshad and Sikander M. Mirza and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and Scientific Reports.

In The Last Decade

Aneela Zameer

64 papers receiving 3.1k citations

Hit Papers

Predictions for COVID-19 with deep learning models of LST... 2017 2026 2020 2023 2020 2021 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aneela Zameer Pakistan 29 1.1k 1.1k 486 405 326 67 3.2k
Mohammad Heidarinejad United States 25 1.0k 0.9× 1.9k 1.7× 61 0.1× 627 1.5× 360 1.1× 74 6.2k
Annamária R. Várkonyi-Kóczy Hungary 20 396 0.3× 492 0.4× 160 0.3× 322 0.8× 101 0.3× 156 1.9k
Ayman A. Aly Saudi Arabia 29 357 0.3× 369 0.3× 447 0.9× 503 1.2× 341 1.0× 165 2.7k
Yigang He China 40 2.5k 2.2× 600 0.5× 265 0.5× 2.1k 5.1× 510 1.6× 314 6.2k
Muhammad Sulaiman Pakistan 27 267 0.2× 560 0.5× 324 0.7× 207 0.5× 714 2.2× 158 2.6k
Salman A. AlQahtani Saudi Arabia 24 604 0.5× 333 0.3× 195 0.4× 104 0.3× 227 0.7× 237 2.4k
Yongmin Zhong Australia 32 647 0.6× 1.8k 1.6× 76 0.2× 953 2.4× 508 1.6× 181 3.8k
Dingyü Xue China 32 994 0.9× 408 0.4× 2.0k 4.2× 4.7k 11.6× 275 0.8× 176 6.6k
Xuefeng Zhang China 27 436 0.4× 386 0.3× 211 0.4× 1.1k 2.8× 232 0.7× 324 3.2k
Afshin Faramarzi United States 8 831 0.7× 1.9k 1.7× 37 0.1× 604 1.5× 219 0.7× 9 3.6k

Countries citing papers authored by Aneela Zameer

Since Specialization
Citations

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

Fields of papers citing papers by Aneela Zameer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aneela Zameer

This figure shows the co-authorship network connecting the top 25 collaborators of Aneela Zameer. A scholar is included among the top collaborators of Aneela Zameer 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 Aneela Zameer. Aneela Zameer 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
2.
Zameer, Aneela, et al.. (2024). Parallel differential evolution paradigm for multilayer electromechanical device optimization. Modern Physics Letters B. 38(31). 5 indexed citations
4.
Zameer, Aneela, et al.. (2024). MCCGAN: An All-In-One Image Restoration Under Adverse Conditions Using Multidomain Contextual Conditional GAN. International Journal of Image and Graphics. 25(2). 1 indexed citations
5.
Chang, Chuan‐Yu, et al.. (2024). Novel design of recurrent neural network for the dynamical of nonlinear piezoelectric cantilever mass–beam model. The European Physical Journal Plus. 139(1). 11 indexed citations
6.
Rafique, Saima, et al.. (2023). PCGA: Polynomial collocation genetic algorithm for singular Poisson-Boltzmann equation arising in thermal explosions. Heliyon. 9(4). e15076–e15076. 2 indexed citations
7.
Zameer, Aneela, et al.. (2023). Neuro-Evolutionary Framework for Design Optimization of Two-Phase Transducer with Genetic Algorithms. Micromachines. 14(9). 1677–1677. 9 indexed citations
8.
Belhaouari, Samir Brahim, et al.. (2023). MACGAN: An All-in-One Image Restoration Under Adverse Conditions Using Multidomain Attention-Based Conditional GAN. IEEE Access. 11. 70482–70502. 9 indexed citations
9.
Raja, Muhammad Asif Zahoor, et al.. (2022). Dynamics of nonlinear cantilever piezoelectric–mechanical system: An intelligent computational approach. Mathematics and Computers in Simulation. 196. 88–113. 25 indexed citations
10.
Zameer, Aneela, et al.. (2022). Computational heuristics for solving nonlinear singular Thomas–Fermi equation with genetic exponential collocation algorithm. The European Physical Journal Plus. 137(7). 4 indexed citations
11.
Zameer, Aneela, et al.. (2021). Weighted differential evolution heuristics for improved multilayer piezoelectric transducer design. Applied Soft Computing. 113. 107835–107835. 21 indexed citations
12.
Burattini, Laura, et al.. (2019). Solution of Linear and Non-Linear Boundary Value Problems Using Population-Distributed Parallel Differential Evolution. Journal of Artificial Intelligence and Soft Computing Research. 9(3). 205–218. 3 indexed citations
13.
Raja, Muhammad Asif Zahoor, et al.. (2019). Integrated intelligent computing for heat transfer and thermal radiation-based two-phase MHD nanofluid flow model. Neural Computing and Applications. 32(7). 2845–2877. 36 indexed citations
14.
Mehmood, Ammara, et al.. (2019). Integrated intelligent computing paradigm for the dynamics of micropolar fluid flow with heat transfer in a permeable walled channel. Applied Soft Computing. 79. 139–162. 66 indexed citations
15.
Mehmood, Ammara, Naveed Ishtiaq Chaudhary, Aneela Zameer, & Muhammad Asif Zahoor Raja. (2019). Backtracking search optimization heuristics for nonlinear Hammerstein controlled auto regressive auto regressive systems. ISA Transactions. 91. 99–113. 29 indexed citations
16.
Mehmood, Ammara, Naveed Ishtiaq Chaudhary, Aneela Zameer, & Muhammad Asif Zahoor Raja. (2019). Novel computing paradigms for parameter estimation in Hammerstein controlled auto regressive auto regressive moving average systems. Applied Soft Computing. 80. 263–284. 23 indexed citations
17.
Raja, Muhammad Asif Zahoor, et al.. (2018). Bio-inspired computational heuristics for Sisko fluid flow and heat transfer models. Applied Soft Computing. 71. 622–648. 30 indexed citations
18.
Zameer, Aneela, et al.. (2017). ニューラルネットワークの遺伝的プログラミングに基づくアンサンブルを用いた短期風力発電の知的とロバスト予測【Powered by NICT】. Energy Conversion and Management. 134. 372. 1 indexed citations
19.
Raja, Muhammad Asif Zahoor, et al.. (2016). Nature-inspired computational intelligence integration with Nelder–Mead method to solve nonlinear benchmark models. Neural Computing and Applications. 29(4). 1169–1193. 30 indexed citations
20.
Raja, Muhammad Asif Zahoor, Aneela Zameer, Aziz Khan, & Abdul–Majid Wazwaz. (2016). A new numerical approach to solve Thomas–Fermi model of an atom using bio-inspired heuristics integrated with sequential quadratic programming. SpringerPlus. 5(1). 1400–1400. 54 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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