Suhak Lee

994 total citations · 1 hit paper
16 papers, 734 citations indexed

About

Suhak Lee is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Suhak Lee has authored 16 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Automotive Engineering, 16 papers in Electrical and Electronic Engineering and 2 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Suhak Lee's work include Advanced Battery Technologies Research (16 papers), Advancements in Battery Materials (15 papers) and Advanced Battery Materials and Technologies (8 papers). Suhak Lee is often cited by papers focused on Advanced Battery Technologies Research (16 papers), Advancements in Battery Materials (15 papers) and Advanced Battery Materials and Technologies (8 papers). Suhak Lee collaborates with scholars based in United States, South Korea and Australia. Suhak Lee's co-authors include Anna G. Stefanopoulou, Peyman Mohtat, Jason B. Siegel, Valentin Sulzer, David A. Howey, Muhammad Umer Arif Khan, Antti Aitio, Frank Steinbacher, Jang Woo Lee and Jangwoo Lee and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Power Sources and Joule.

In The Last Decade

Suhak Lee

15 papers receiving 696 citations

Hit Papers

The challenge and opportunity of battery lifetime predict... 2021 2026 2022 2024 2021 50 100 150 200 250
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. The challenge and opportunity of battery lifetime prediction from field data
    2021 268 citations Valentin Sulzer, Peyman Mohtat et al. Joule profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suhak Lee United States 10 703 646 84 61 46 16 734
Peyman Mohtat United States 10 716 1.0× 656 1.0× 87 1.0× 62 1.0× 47 1.0× 19 751
Carlos Pastor-Fernández United Kingdom 7 920 1.3× 910 1.4× 82 1.0× 73 1.2× 64 1.4× 7 981
Mohamed Abdel-Monem Belgium 10 787 1.1× 768 1.2× 72 0.9× 81 1.3× 45 1.0× 18 833
Weiping Diao United States 13 699 1.0× 656 1.0× 118 1.4× 119 2.0× 32 0.7× 18 763
Yu Merla United Kingdom 8 707 1.0× 703 1.1× 82 1.0× 70 1.1× 41 0.9× 11 761
Susanne Rothgang Germany 8 656 0.9× 646 1.0× 43 0.5× 44 0.7× 48 1.0× 9 729
Qiaohua Fang China 7 483 0.7× 465 0.7× 72 0.9× 45 0.7× 26 0.6× 11 516
Leo Wildfeuer Germany 14 733 1.0× 716 1.1× 38 0.5× 30 0.5× 60 1.3× 18 813
Chinh D. Ho United States 12 846 1.2× 883 1.4× 67 0.8× 41 0.7× 57 1.2× 16 945

Countries citing papers authored by Suhak Lee

Since Specialization
Citations

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

Fields of papers citing papers by Suhak Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhak Lee

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

All Works

16 of 16 papers shown
1.
Zheng, Ruixin, et al.. (2024). Machine Learning-Based Electrode-Level State-of-Health Estimation for NMC/Graphite Battery Cells. IEEE Transactions on Transportation Electrification. 10(4). 8829–8844. 4 indexed citations
2.
Mohtat, Peyman, Suhak Lee, Jason B. Siegel, & Anna G. Stefanopoulou. (2021). Reversible and Irreversible Expansion of Lithium-Ion Batteries Under a Wide Range of Stress Factors. Journal of The Electrochemical Society. 168(10). 100520–100520. 76 indexed citations
3.
Weng, Andrew, Peyman Mohtat, Peter M. Attia, et al.. (2021). Predicting the impact of formation protocols on battery lifetime immediately after manufacturing. Joule. 5(11). 2971–2992. 103 indexed citations
4.
Sulzer, Valentin, Peyman Mohtat, Antti Aitio, et al.. (2021). The challenge and opportunity of battery lifetime prediction from field data. Joule. 5(8). 1934–1955. 268 indexed citations breakdown →
5.
Weng, Andrew, Peyman Mohtat, Peter M. Attia, et al.. (2021). Predicting the Impact of Formation Protocols on Battery Lifetime Immediately After Manufacturing. SSRN Electronic Journal. 1 indexed citations
6.
Lee, Suhak, Youngki Kim, Jason B. Siegel, & Anna G. Stefanopoulou. (2021). Optimal control for fast acquisition of equilibrium voltage for Li-ion batteries. Journal of Energy Storage. 40. 102814–102814. 5 indexed citations
7.
Mohtat, Peyman, Suhak Lee, Jason B. Siegel, & Anna G. Stefanopoulou. (2021). Comparison of expansion and voltage differential indicators for battery capacity fade. Journal of Power Sources. 518. 230714–230714. 44 indexed citations
8.
Mohtat, Peyman, Suhak Lee, Valentin Sulzer, Jason B. Siegel, & Anna G. Stefanopoulou. (2020). Differential Expansion and Voltage Model for Li-ion Batteries at Practical Charging Rates. Journal of The Electrochemical Society. 167(11). 110561–110561. 53 indexed citations
9.
Lee, Suhak, et al.. (2020). Electrode State of Health Estimation for Lithium Ion Batteries Considering Half-cell Potential Change Due to Aging. Journal of The Electrochemical Society. 167(9). 90531–90531. 52 indexed citations
10.
Lee, Suhak & Youngki Kim. (2020). Li-ion Battery Electrode Health Diagnostics using Machine Learning. 1137–1142. 14 indexed citations
11.
Lee, Suhak, et al.. (2019). Estimation Error Bound of Battery Electrode Parameters With Limited Data Window. IEEE Transactions on Industrial Informatics. 16(5). 3376–3386. 25 indexed citations
12.
Lee, Suhak, Peyman Mohtat, Jason B. Siegel, & Anna G. Stefanopoulou. (2019). Electrode-Specific State of Health Diagnostics for Lithium Ion Batteries Using Cell Voltage and Expansion. ECS Meeting Abstracts. MA2019-02(5). 265–265. 1 indexed citations
13.
Lee, Suhak, Youngki Kim, Jason B. Siegel, & Anna G. Stefanopoulou. (2019). Minimum-Time Measurement of Open Circuit Voltage of Battery Systems. 884–889. 3 indexed citations
14.
Mohtat, Peyman, Suhak Lee, Jason B. Siegel, & Anna G. Stefanopoulou. (2019). Towards better estimability of electrode-specific state of health: Decoding the cell expansion. Journal of Power Sources. 427. 101–111. 68 indexed citations
15.
Lee, Suhak, Peyman Mohtat, Jason B. Siegel, & Anna G. Stefanopoulou. (2018). Beyond Estimating Battery State of Health: Identifiability of Individual Electrode Capacity and Utilization. 2288–2293. 8 indexed citations
16.

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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