Muhammad Umair Ali

2.9k total citations · 3 hit papers
97 papers, 2.2k citations indexed

About

Muhammad Umair Ali is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Muhammad Umair Ali has authored 97 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 24 papers in Artificial Intelligence and 17 papers in Automotive Engineering. Recurrent topics in Muhammad Umair Ali's work include Advanced Battery Technologies Research (14 papers), Photovoltaic System Optimization Techniques (9 papers) and Advancements in Battery Materials (8 papers). Muhammad Umair Ali is often cited by papers focused on Advanced Battery Technologies Research (14 papers), Photovoltaic System Optimization Techniques (9 papers) and Advancements in Battery Materials (8 papers). Muhammad Umair Ali collaborates with scholars based in South Korea, Pakistan and Saudi Arabia. Muhammad Umair Ali's co-authors include Amad Zafar, Sarvar Hussain Nengroo, Hee‐Je Kim, Sadam Hussain, Muhammad Junaid Alvi, Karam Dad Kallu, Muhammad Adil Khan, Kamran Zeb, Manzar Masud and Shaik Javeed Hussain and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Muhammad Umair Ali

87 papers receiving 2.1k citations

Hit Papers

Towards a Smarter Battery Management System for Electric ... 2019 2026 2021 2023 2019 2022 2023 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Towards a Smarter Battery Management System for Electric Vehicle Applications: A Critical Review of Lithium-Ion Battery State of Charge Estimation
    2019 333 citations Muhammad Umair Ali, Amad Zafar et al. Energies profile →
  2. Brain Tumor/Mass Classification Framework Using Magnetic-Resonance-Imaging-Based Isolated and Developed Transfer Deep-Learning Model
    2022 165 citations Muhammad Umair Ali, Shaik Javeed Hussain et al. Sensors profile →
  3. Vision Transformers in medical computer vision—A contemplative retrospection
    2023 152 citations Muhammad Umair Ali, Muhammad Moazam Fraz et al. Engineering Applications of Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Umair Ali South Korea 22 986 695 437 436 400 97 2.2k
Amad Zafar South Korea 20 567 0.6× 468 0.7× 339 0.8× 179 0.4× 246 0.6× 78 1.9k
Mohsin Jamil Pakistan 29 1.5k 1.5× 196 0.3× 324 0.7× 810 1.9× 209 0.5× 192 3.0k
H. Metin Ertunç Türkiye 26 446 0.5× 188 0.3× 321 0.7× 703 1.6× 155 0.4× 79 2.6k
Suresh Muthusamy India 28 752 0.8× 307 0.4× 394 0.9× 343 0.8× 643 1.6× 149 2.7k
Mominul Ahsan United Kingdom 24 476 0.5× 121 0.2× 376 0.9× 128 0.3× 87 0.2× 72 1.5k
Zhiyu Huang China 28 529 0.5× 1.2k 1.7× 390 0.9× 566 1.3× 105 0.3× 77 2.4k
Shabana Urooj India 24 621 0.6× 105 0.2× 289 0.7× 122 0.3× 99 0.2× 155 1.7k
Sarat Kumar Sahoo India 17 706 0.7× 98 0.1× 215 0.5× 311 0.7× 418 1.0× 88 1.2k
Anurag Singh India 21 606 0.6× 63 0.1× 493 1.1× 187 0.4× 519 1.3× 120 2.2k
Peisong Wang China 19 544 0.6× 394 0.6× 449 1.0× 76 0.2× 51 0.1× 47 1.6k

Countries citing papers authored by Muhammad Umair Ali

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Umair Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Umair Ali. 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 Muhammad Umair Ali. The network helps show where Muhammad Umair Ali may publish in the future.

Co-authorship network of co-authors of Muhammad Umair Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Umair Ali. A scholar is included among the top collaborators of Muhammad Umair Ali 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 Muhammad Umair Ali. Muhammad Umair Ali 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.
Kallu, Karam Dad, et al.. (2024). Urban traffic signal control optimization through Deep Q Learning and double Deep Q Learning: a novel approach for efficient traffic management. Multimedia Tools and Applications. 84(22). 24933–24956. 1 indexed citations
2.
3.
Ali, Muhammad Umair, Kwang Su Kim, Karam Dad Kallu, Amad Zafar, & Seung Won Lee. (2023). OptEF-BCI: An Optimization-Based Hybrid EEG and fNIRS–Brain Computer Interface. Bioengineering. 10(5). 608–608. 8 indexed citations
4.
Ahmed, Waqas, Muhammad Umair Ali, M. A. Parvez Mahmud, et al.. (2023). A Comparison and Introduction of Novel Solar Panel’s Fault Diagnosis Technique Using Deep-Features Shallow-Classifier through Infrared Thermography. Energies. 16(3). 1043–1043. 11 indexed citations
5.
Zafar, Amad, et al.. (2023). A Hybrid GCN and Filter‐Based Framework for Channel and Feature Selection: An fNIRS‐BCI Study. International Journal of Intelligent Systems. 2023(1). 17 indexed citations
6.
7.
Ali, Muhammad Umair, Amad Zafar, Karam Dad Kallu, et al.. (2023). Correlation-Filter-Based Channel and Feature Selection Framework for Hybrid EEG-fNIRS BCI Applications. IEEE Journal of Biomedical and Health Informatics. 28(6). 3361–3370. 18 indexed citations
8.
Ali, Muhammad Umair, et al.. (2023). Vision Transformers in medical computer vision—A contemplative retrospection. Engineering Applications of Artificial Intelligence. 122. 106126–106126. 152 indexed citations breakdown →
9.
Faheem, Muhammad, Arshad Hussain, Muhammad Umair Ali, & Md. Abdul Aziz. (2023). Recent Theoretical and Experimental Advancements of Aluminum‐Sulfur Batteries. The Chemical Record. 24(1). e202300268–e202300268. 8 indexed citations
10.
Ali, Muhammad Umair, Shaik Javeed Hussain, Amad Zafar, M. Raheel Bhutta, & Seung Won Lee. (2023). WBM-DLNets: Wrapper-Based Metaheuristic Deep Learning Networks Feature Optimization for Enhancing Brain Tumor Detection. Bioengineering. 10(4). 475–475. 27 indexed citations
11.
Ali, Muhammad Umair, et al.. (2022). An Asymmetric Bargaining Model for Natural-Gas Distribution. Applied Sciences. 12(11). 5677–5677. 1 indexed citations
12.
Kamran, Muhammad Ahmad, et al.. (2022). Synchronization Analysis of Multiple FitzHugh-Nagumo Noisy and Nonnoisy Neurobiological Networks. Mathematical Problems in Engineering. 2022. 1–23.
13.
Azeem, Muhammad, Muhammad Irfan, Manzar Masud, et al.. (2022). Experimental and Numerical Investigation of Effect of Static and Fatigue Loading on Behavior of Different Double Strap Adhesive Joint Configurations in Fiber Metal Laminates. Materials. 15(5). 1840–1840. 7 indexed citations
14.
15.
Ali, Muhammad Umair, Shaik Javeed Hussain, Amad Zafar, et al.. (2022). Brain Tumor/Mass Classification Framework Using Magnetic-Resonance-Imaging-Based Isolated and Developed Transfer Deep-Learning Model. Sensors. 22(1). 372–372. 165 indexed citations breakdown →
16.
Kamran, Muhammad Ahmad, et al.. (2021). Quintessential strategy to operate photovoltaic system coupled with dual battery storage and grid connection. International Journal of Energy Research. 45(15). 21140–21157. 9 indexed citations
17.
Hussain, Shaik Javeed, Saddam Hussain Khan, Tauseef Jamal, et al.. (2021). Detection of Exceptional Malware Variants Using Deep Boosted Feature Spaces and Machine Learning. Applied Sciences. 11(21). 10464–10464. 21 indexed citations
18.
Ali, Muhammad Umair, et al.. (2020). A machine learning framework to identify the hotspot in photovoltaic module using infrared thermography. Solar Energy. 208. 643–651. 152 indexed citations
19.
Ali, Muhammad Umair, Sadam Hussain, Sarvar Hussain Nengroo, & Hee‐Je Kim. (2019). A Smarter Energy Management System for Lithium-ion Battery and Super Capacitor Based Hybrid Energy Storage System. 3. 35–40. 1 indexed citations
20.
., himanshu, Harsimran Singh, Muhammad Umair Ali, et al.. (2018). High Frequency Transformer’s Parasitic Capacitance Minimization for Photovoltaic (PV) High-Frequency Link-Based Medium Voltage (MV) Inverter. Electronics. 7(8). 142–142. 14 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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