Jun Fujima
Impact in
- Catalysis top 5%
- Catalysis and Oxidation Reactions
- Catalysts for Methane Reforming
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- Machine Learning in Materials Science
- Catalytic Processes in Materials Science
Papers in
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- Peer-to-Peer Network Technologies 6
- Advanced Database Systems and Queries 4
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- Multimedia Communication and Technology 5
- Co-authors
- Keisuke Takahashi (10 shared papers)Yuzuru Tanaka (9 shared papers)Lauren Takahashi (8 shared papers)Itsuki Miyazato (6 shared papers)Shun Nishimura (5 shared papers)Junya Ohyama (5 shared papers)Toshiaki Taniike (5 shared papers)Thanh Nhat Nguyen (3 shared papers)
In The Last Decade
Jun Fujima
27 papers receiving 485 citations
Peers
Comparison fields: 5 of 61
- Catalysis 198
- Materials Chemistry 299
- Human-Computer Interaction 30
- Information Systems and Management 32
- Renewable Energy, Sustainability and the Environment 68
Countries citing papers authored by Jun Fujima
This map shows the geographic impact of Jun Fujima'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 Fujima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Fujima more than expected).
Fields of papers citing papers by Jun Fujima
This network shows the impact of papers produced by Jun Fujima. 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 Fujima. The network helps show where Jun Fujima may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Fujima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 143 | |
| 2 | 2018 | 87 | |
| 3 | 2004 | 60 | |
| 4 | 2023 | 41 | |
| 5 | 2020 | 35 | |
| 6 | 2020 | 24 | |
| 7 | 2013 | 13 | |
| 8 | 2022 | 13 | |
| 9 | 2004 | 13 | |
| 10 | 2013 | 11 | |
| 11 | 2021 | 7 | |
| 12 | 2013 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2012 | 6 | |
| 15 | 2007 | 5 | |
| 16 | 2010 | 5 | |
| 17 | 2010 | 4 | |
| 18 | 2013 | 4 | |
| 19 | On-demand Help Systems based on Webble Technology. | 2011 | 3 |
| 20 | 2005 | 3 |
About Jun Fujima
Jun Fujima is a scholar working on Computer Networks and Communications, Sociology and Political Science, Information Systems, Materials Chemistry and Catalysis, having authored 30 papers that have together received 502 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (9 papers), Catalysis and Oxidation Reactions (8 papers), Peer-to-Peer Network Technologies (6 papers), Catalytic Processes in Materials Science (6 papers), Multimedia Communication and Technology (5 papers), Web Data Mining and Analysis (5 papers), Advanced Database Systems and Queries (4 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Catalysis (198 citations), Materials Chemistry (299 citations), Human-Computer Interaction (30 citations), Information Systems and Management (32 citations) and Renewable Energy, Sustainability and the Environment (68 citations). Jun Fujima has collaborated with scholars based in Japan, Germany and Denmark. Frequent co-authors include Keisuke Takahashi, Yuzuru Tanaka, Lauren Takahashi, Itsuki Miyazato, Shun Nishimura, Junya Ohyama, Toshiaki Taniike, Thanh Nhat Nguyen, Kasper Hornbæk and Aran Lunzer. Their work appears in journals such as Catalysis Science & Technology, Chemical Communications, ChemCatChem, The Journal of Physical Chemistry Letters and ACS Catalysis.
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.