Ephrem Chemali

2.2k total citations · 2 hit papers
12 papers, 1.7k citations indexed

About

Ephrem Chemali is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Ephrem Chemali has authored 12 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Automotive Engineering, 10 papers in Electrical and Electronic Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Ephrem Chemali's work include Advanced Battery Technologies Research (12 papers), Electric and Hybrid Vehicle Technologies (6 papers) and Advancements in Battery Materials (4 papers). Ephrem Chemali is often cited by papers focused on Advanced Battery Technologies Research (12 papers), Electric and Hybrid Vehicle Technologies (6 papers) and Advancements in Battery Materials (4 papers). Ephrem Chemali collaborates with scholars based in Canada and United States. Ephrem Chemali's co-authors include Ali Emadi, Matthias Preindl, Phillip J. Kollmeyer, Ryan Ahmed, Pawel Malysz, Carlos Vidal, Lea Dorn-Gomba, John Reimers, Atriya Biswas and Brock Howey and has published in prestigious journals such as Journal of Power Sources, IEEE Transactions on Industrial Electronics and IEEE Transactions on Industry Applications.

In The Last Decade

Ephrem Chemali

12 papers receiving 1.6k citations

Hit Papers

Long Short-Term Memory Networks for Accurate State-of-Cha... 2017 2026 2020 2023 2017 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ephrem Chemali Canada 12 1.5k 1.4k 449 97 62 12 1.7k
Chunmei Yu China 23 1.5k 1.0× 1.3k 1.0× 436 1.0× 152 1.6× 39 0.6× 78 1.7k
Aihua Tang China 21 1.4k 0.9× 1.1k 0.8× 375 0.8× 133 1.4× 44 0.7× 64 1.6k
Zechang Sun China 22 1.8k 1.2× 1.7k 1.3× 441 1.0× 71 0.7× 67 1.1× 85 2.1k
Yongcun Fan China 17 1.3k 0.8× 1.1k 0.8× 449 1.0× 176 1.8× 36 0.6× 60 1.5k
Mince Li China 13 1.5k 1.0× 1.4k 1.0× 386 0.9× 119 1.2× 65 1.0× 23 1.7k
Hector E. Perez United States 18 2.1k 1.4× 1.9k 1.4× 385 0.9× 89 0.9× 31 0.5× 27 2.3k
Siyu Jin China 13 1.1k 0.8× 1.1k 0.8× 377 0.8× 188 1.9× 39 0.6× 25 1.4k
Fei Feng China 22 2.2k 1.4× 1.9k 1.4× 491 1.1× 189 1.9× 31 0.5× 41 2.3k
Xiaosong Hu China 21 1.3k 0.9× 1.2k 0.9× 406 0.9× 155 1.6× 18 0.3× 48 1.6k

Countries citing papers authored by Ephrem Chemali

Since Specialization
Citations

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

Fields of papers citing papers by Ephrem Chemali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ephrem Chemali

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

All Works

12 of 12 papers shown
1.
Chemali, Ephrem, et al.. (2022). A Convolutional Neural Network Approach for Estimation of Li-Ion Battery State of Health from Charge Profiles. Energies. 15(3). 1185–1185. 54 indexed citations
2.
Kollmeyer, Phillip J., John Reimers, Daniel F. Opila, et al.. (2019). Real-Time Control of a Full Scale Li-ion Battery and Li-ion Capacitor Hybrid Energy Storage System for a Plug-in Hybrid Vehicle. IEEE Transactions on Industry Applications. 55(4). 4204–4214. 19 indexed citations
3.
Vidal, Carlos, Phillip J. Kollmeyer, Ephrem Chemali, & Ali Emadi. (2019). Li-ion Battery State of Charge Estimation Using Long Short-Term Memory Recurrent Neural Network with Transfer Learning. 1–6. 56 indexed citations
4.
Chemali, Ephrem, Phillip J. Kollmeyer, Matthias Preindl, & Ali Emadi. (2018). State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach. Journal of Power Sources. 400. 242–255. 591 indexed citations breakdown →
5.
Dorn-Gomba, Lea, Ephrem Chemali, & Ali Emadi. (2018). A novel hybrid energy storage system using the multi-source inverter. 684–691. 24 indexed citations
8.
Chemali, Ephrem, Phillip J. Kollmeyer, Matthias Preindl, Ryan Ahmed, & Ali Emadi. (2017). Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries. IEEE Transactions on Industrial Electronics. 65(8). 6730–6739. 632 indexed citations breakdown →
10.
Chemali, Ephrem & Ali Emadi. (2017). On the concept of a novel Reconfigurable Multi-Source Inverter. 707–713. 16 indexed citations
11.
Chemali, Ephrem, Matthias Preindl, Pawel Malysz, & Ali Emadi. (2016). Electrochemical and Electrostatic Energy Storage and Management Systems for Electric Drive Vehicles: State-of-the-Art Review and Future Trends. IEEE Journal of Emerging and Selected Topics in Power Electronics. 4(3). 1117–1134. 224 indexed citations
12.
Chemali, Ephrem, et al.. (2015). Minimizing battery wear in a hybrid energy storage system using a linear quadratic regulator. 4. 3265–3270. 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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