Norman Jin
- Automotive Engineering top 0.1%
- Advanced Battery Technologies Research 5
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- Advancements in Battery Materials 7
- Advanced Battery Materials and Technologies 5
- Fuel Cells and Related Materials 2
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications 3
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- Electron and X-Ray Spectroscopy Techniques 3
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- Machine Learning in Materials Science 2
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- Force Microscopy Techniques and Applications 1
- Co-authors
- William C. ChuehPeter M. AttiaMartin Z. BazantPatrick K. HerringMichael H. ChenStephen J. HarrisKristen SeversonMuratahan Aykol
- Cited by
- Automotive EngineeringElectrical and Electronic EngineeringSafety, Risk, Reliability and Quality
- Partner nations
- United StatesSouth KoreaSlovenia
In The Last Decade
Norman Jin
11 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Automotive Engineering 2.7k
- Electrical and Electronic Engineering 2.9k
- Safety, Risk, Reliability and Quality 415
- Structural Biology 61
- Control and Systems Engineering 384
Countries citing papers authored by Norman Jin
This map shows the geographic impact of Norman Jin'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 Norman Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norman Jin more than expected).
Fields of papers citing papers by Norman Jin
This network shows the impact of papers produced by Norman Jin. 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 Norman Jin. The network helps show where Norman Jin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Norman Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2024 | 12 | |
| 3 | 2022 | 43 | |
| 4 | 2021 | 11 | |
| 5 | Closed-loop optimization of fast-charging protocols for batteries with machine learningbreakdown → | 2020 | 748 |
| 6 | 2019 | 166 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 1 | |
| 9 | Data-driven prediction of battery cycle life before capacity degradationbreakdown → | 2019 | 1956 |
| 10 | 2018 | 130 | |
| 11 | Origin and hysteresis of lithium compositional spatiodynamics within battery primary particlesbreakdown → | 2016 | 390 |
About Norman Jin
Norman Jin is a scholar working on Structural Biology, Surfaces, Coatings and Films and Automotive Engineering, having authored 11 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advancements in Battery Materials (7 papers), Advanced Battery Technologies Research (5 papers), Advanced Battery Materials and Technologies (5 papers), Electron and X-Ray Spectroscopy Techniques (3 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), Fuel Cells and Related Materials (2 papers), Machine Learning in Materials Science (2 papers) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Automotive Engineering (2.7k citations), Electrical and Electronic Engineering (2.9k citations) and Safety, Risk, Reliability and Quality (415 citations). Norman Jin has collaborated with scholars based in United States, South Korea and Slovenia. Frequent co-authors include William C. Chueh, Peter M. Attia, Martin Z. Bazant, Patrick K. Herring, Michael H. Chen, Stephen J. Harris, Kristen Severson, Muratahan Aykol, Richard D. Braatz and Zi Yang. Their work appears in journals such as Microscopy and Microanalysis, ACS Nano, Nature Materials, Science and Materials Today.
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.