Jun Haruyama
Impact in
- Automotive Engineering top 2%
- Advanced Battery Technologies Research
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- Perovskite Materials and Applications
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Chalcogenide Semiconductor Thin Films
Papers in
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- Advanced Battery Technologies Research 7
- Co-authors
- Yoshitaka TateyamaKeitaro SodeyamaLiyuan HanKazunori TakadaMinoru OtaniTamio IkeshojiBo GaoRandy Jalem
In The Last Decade
Jun Haruyama
34 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Automotive Engineering 401
- Electrical and Electronic Engineering 1.9k
- Materials Chemistry 1.1k
- Polymers and Plastics 323
- Electrochemistry 48
Countries citing papers authored by Jun Haruyama
This map shows the geographic impact of Jun Haruyama'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 Jun Haruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Haruyama more than expected).
Fields of papers citing papers by Jun Haruyama
This network shows the impact of papers produced by Jun Haruyama. 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 Jun Haruyama. The network helps show where Jun Haruyama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Haruyama, 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 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 5 | |
| 11 | 2020 | 24 | |
| 12 | 2020 | 15 | |
| 13 | 2019 | 23 | |
| 14 | Simulations by density functional + implicit classical solvation theories for electrode/solution interfaces under an applied voltage | 2018 | 1 |
| 15 | 2018 | 43 | |
| 16 | 2018 | 79 | |
| 17 | 2016 | 127 | |
| 18 | First-Principles Study of Ion Diffusion in Perovskite Solar Cell Sensitizers Hit paper breakdown → | 2015 | 614 |
| 19 | 2012 | 5 | |
| 20 | 2011 | 3 |
About Jun Haruyama
Jun Haruyama is a scholar working on Filtration and Separation, Automotive Engineering, Electrochemistry, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (9 papers), Advancements in Battery Materials (9 papers), Spectroscopy and Quantum Chemical Studies (8 papers), Advanced Battery Technologies Research (7 papers), Advanced Chemical Physics Studies (6 papers), Quantum Dots Synthesis And Properties (5 papers), Graphene research and applications (4 papers) and Machine Learning in Materials Science (4 papers). The work is most often cited by research in Automotive Engineering (401 citations), Electrical and Electronic Engineering (1.9k citations), Materials Chemistry (1.1k citations), Polymers and Plastics (323 citations) and Electrochemistry (48 citations). Jun Haruyama has collaborated with scholars based in Japan, Hungary and Taiwan. Frequent co-authors include Yoshitaka Tateyama, Keitaro Sodeyama, Liyuan Han, Kazunori Takada, Minoru Otani, Tamio Ikeshoji, Bo Gao, Randy Jalem, Kazuyuki Watanabe and Osamu Sugino. Their work appears in journals such as The Journal of Physical Chemistry C, Physical review. B., Physical Review Materials, ACS Applied Materials & Interfaces and The Journal of Physical Chemistry Letters.
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.