Jun Song
Impact in
- Metals and Alloys top 0.2%
- Hydrogen embrittlement and corrosion behaviors in metals
- Catalysis top 2%
- Ammonia Synthesis and Nitrogen Reduction
Papers in
-
- Hydrogen embrittlement and corrosion behaviors in metals 24
-
- Nuclear Materials and Properties 23
- 2D Materials and Applications 20
- Graphene research and applications 18
- Microstructure and mechanical properties 13
- Co-authors
- W.A. CurtinPengfei OuFanchao MengBin OuyangXiao ZhouZetian MiDavid J. SrolovitzDianyin Hu
- Journals
- Acta Materialia (16 papers)Journal of Applied Physics (7 papers)Surface and Coatings Technology (7 papers)Journal of Thermal Spray Technology (5 papers)Computational Materials Science (4 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Jun Song
188 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Metals and Alloys 1.2k
- Catalysis 671
- Renewable Energy, Sustainability and the Environment 1.5k
- Materials Chemistry 3.8k
- Mechanical Engineering 1.3k
Countries citing papers authored by Jun Song
This map shows the geographic impact of Jun Song'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 Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Song more than expected).
Fields of papers citing papers by Jun Song
This network shows the impact of papers produced by Jun Song. 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 Song. The network helps show where Jun Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Song, 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 | 1 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 32 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 40 | |
| 13 | 2021 | 33 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 28 | |
| 17 | 2020 | 41 | |
| 18 | 2019 | 4 | |
| 19 | 2019 | 6 | |
| 20 | 2019 | 30 |
About Jun Song
Jun Song is a scholar working on Metals and Alloys, Materials Chemistry, Catalysis, Renewable Energy, Sustainability and the Environment and Ceramics and Composites, having authored 195 papers that have together received 6.0k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (24 papers), Hydrogen embrittlement and corrosion behaviors in metals (24 papers), Nuclear Materials and Properties (23 papers), 2D Materials and Applications (20 papers), Graphene research and applications (18 papers), High-Temperature Coating Behaviors (17 papers), Electrocatalysts for Energy Conversion (15 papers) and Microstructure and mechanical properties (13 papers). The work is most often cited by research in Metals and Alloys (1.2k citations), Catalysis (671 citations), Renewable Energy, Sustainability and the Environment (1.5k citations), Materials Chemistry (3.8k citations) and Mechanical Engineering (1.3k citations). Jun Song has collaborated with scholars based in Canada, China and United States. Frequent co-authors include W.A. Curtin, Pengfei Ou, Fanchao Meng, Bin Ouyang, Xiao Zhou, Zetian Mi, David J. Srolovitz, Dianyin Hu, Stephen Yue and Baowen Zhou. Their work appears in journals such as Acta Materialia, Journal of Applied Physics, Surface and Coatings Technology, Journal of Thermal Spray Technology and Computational Materials Science.
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.