Badar ul Islam

416 total citations
23 papers, 295 citations indexed

About

Badar ul Islam is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Badar ul Islam has authored 23 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 10 papers in Artificial Intelligence and 7 papers in Management Science and Operations Research. Recurrent topics in Badar ul Islam's work include Energy Load and Power Forecasting (10 papers), Neural Networks and Applications (5 papers) and Hydrological Forecasting Using AI (4 papers). Badar ul Islam is often cited by papers focused on Energy Load and Power Forecasting (10 papers), Neural Networks and Applications (5 papers) and Hydrological Forecasting Using AI (4 papers). Badar ul Islam collaborates with scholars based in Malaysia, Pakistan and India. Badar ul Islam's co-authors include Zuhairi Baharudin, Perumal Nallagownden, Muhammad Bilal, Tazien Rashid, Syed Ali Ammar Taqvi, T. Murugesan, Shams Forruque Ahmed, Farooq Sher, Saddaf Rubab and Muhammad Qamar Raza and has published in prestigious journals such as SHILAP Revista de lepidopterología, Fuel and Current Medicinal Chemistry.

In The Last Decade

Badar ul Islam

21 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Badar ul Islam Malaysia 7 88 66 54 40 34 23 295
Luis Alfonso Villa‐Vargas Mexico 9 67 0.8× 32 0.5× 75 1.4× 17 0.4× 37 1.1× 30 371
Arpita Arpita India 15 185 2.1× 22 0.3× 62 1.1× 25 0.6× 17 0.5× 63 540
Yuhong Chen China 12 40 0.5× 52 0.8× 14 0.3× 42 1.1× 17 0.5× 26 326
S. Anbazhagan India 9 257 2.9× 20 0.3× 46 0.9× 13 0.3× 73 2.1× 29 389
Ding Zhou China 12 40 0.5× 60 0.9× 35 0.6× 58 1.4× 11 0.3× 28 492
Mengshan Li China 14 36 0.4× 151 2.3× 65 1.2× 22 0.6× 10 0.3× 38 475
Qianqian Zhao China 12 24 0.3× 48 0.7× 102 1.9× 31 0.8× 32 0.9× 36 424
Zhiming Yang China 9 64 0.7× 52 0.8× 48 0.9× 14 0.3× 7 0.2× 27 455

Countries citing papers authored by Badar ul Islam

Since Specialization
Citations

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

Fields of papers citing papers by Badar ul Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Badar ul Islam. 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 Badar ul Islam. The network helps show where Badar ul Islam may publish in the future.

Co-authorship network of co-authors of Badar ul Islam

This figure shows the co-authorship network connecting the top 25 collaborators of Badar ul Islam. A scholar is included among the top collaborators of Badar ul Islam 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 Badar ul Islam. Badar ul Islam 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.
Islam, Badar ul, et al.. (2025). Smooth gradient loss: a loss function for gradient regularization in deep learning optimization. The Journal of Supercomputing. 81(15).
2.
Islam, Badar ul, et al.. (2024). Generative Adversarial Networks Based Framework for Music Genre Classification. SN Computer Science. 5(8). 3 indexed citations
3.
Islam, Badar ul, et al.. (2024). Design and Fabrication of the Automatic Multipurpose Agriculture Robot (AMAR). 1. 340–356. 2 indexed citations
4.
Islam, Badar ul, Mohd Suhail, Mohd Shahnawaz Khan, et al.. (2021). Flavonoids and PI3K/Akt/mTOR Signaling Cascade: A Potential Crosstalk in Anticancer Treatment. Current Medicinal Chemistry. 28(39). 8083–8097. 42 indexed citations
5.
Islam, Badar ul, Zuhairi Baharudin, & Parameshwari Kattel. (2021). Inertia Theory Frequency Dynamic Analysis and Control of Power System with High Proportion of Renewable Source. Mathematical Problems in Engineering. 2021. 1–16. 3 indexed citations
6.
Rashid, Tazien, Syed Ali Ammar Taqvi, Farooq Sher, et al.. (2021). Enhanced lignin extraction and optimisation from oil palm biomass using neural network modelling. Fuel. 293. 120485–120485. 99 indexed citations
7.
Islam, Badar ul. (2021). Flavonoids and PI3K/Akt/mTOR Signaling Cascade: A Potential Crosstalk in Anticancer Treatment. Current Medicinal Chemistry. 28(39). 8083–8097. 1 indexed citations
8.
Islam, Badar ul, Ahmad Mukhtar, Sidra Saqib, et al.. (2020). Thermal Conductivity of Multiwalled Carbon Nanotubes‐Kapok Seed Oil‐Based Nanofluid. Chemical Engineering & Technology. 43(8). 1638–1647. 4 indexed citations
9.
Kausar, Nasreen, et al.. (2020). Direct product of finite anti fuzzy normal sub-rings over non-associative rings. Journal of Mathematics and Computer Science. 22(4). 399–411. 1 indexed citations
10.
Kausar, Nasreen, et al.. (2019). Intuitionistic Fuzzy Ideals with Thresholds (α, β] in LA-rings. European Journal of Pure and Applied Mathematics. 12(3). 906–943. 2 indexed citations
11.
Kausar, Nasreen, et al.. (2019). Characterizations of non-associative rings by the properties of their fuzzy ideals. SHILAP Revista de lepidopterología. 13(1). 820–833. 10 indexed citations
12.
Baharudin, Zuhairi, et al.. (2018). Design and Analysis of Resonant Wireless Power Transfer System. SHILAP Revista de lepidopterología. 225. 2020–2020.
13.
Islam, Badar ul, et al.. (2018). An Emotional Neural Network for Electrical Load Demand Forecast. 6. 155–159. 1 indexed citations
14.
Islam, Badar ul, Zuhairi Baharudin, & Perumal Nallagownden. (2017). Modified meta heuristics and improved backpropagation neural network‐based electrical load demand prediction technique for smart grid. IEEJ Transactions on Electrical and Electronic Engineering. 12(S1). 1 indexed citations
15.
Islam, Badar ul, Zuhairi Baharudin, & Perumal Nallagownden. (2016). Development of chaotically improved meta-heuristics and modified BP neural network-based model for electrical energy demand prediction in smart grid. Neural Computing and Applications. 28(S1). 877–891. 35 indexed citations
16.
Islam, Badar ul, et al.. (2016). Hybrid Input Data Selection Technique for Neural Network Based Load Forecast Model. 4(1). 74–80. 1 indexed citations
17.
Islam, Badar ul, Zuhairi Baharudin, & Perumal Nallagownden. (2015). Short Term Electric Load Forecasting with Back Propagation Neural Network and Simulated Annealing Genetic Algorithm. Applied Mechanics and Materials. 785. 14–18. 3 indexed citations
18.
Islam, Badar ul, et al.. (2014). A Hybrid Neural Network and Genetic Algorithm Based Model for Short Term Load Forecast. Research Journal of Applied Sciences Engineering and Technology. 7(13). 2667–2673. 12 indexed citations
19.
Islam, Badar ul, Zuhairi Baharudin, Muhammad Qamar Raza, & Perumal Nallagownden. (2014). Optimization of neural network architecture using genetic algorithm for load forecasting. 4669. 1–6. 33 indexed citations
20.
Islam, Badar ul, et al.. (2013). Hybrid and integrated intelligent system for load demand prediction. 2. 178–183. 5 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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