Huaxian Jia
Impact in
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- Electrocatalysts for Energy Conversion
- Advanced Photocatalysis Techniques
- Catalysis top 10%
- Ammonia Synthesis and Nitrogen Reduction
Papers in
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- Machine Learning in Materials Science 4
- 2D Materials and Applications 3
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- Advanced battery technologies research 3
- Chalcogenide Semiconductor Thin Films 3
- Co-authors
- Miao Liu (12 shared papers)Renbing Wu (7 shared papers)Yuan Ha (5 shared papers)Ziliang Chen (4 shared papers)Hongbin Xu (4 shared papers)Mao Chen (3 shared papers)Xiaoxiao Yan (3 shared papers)Ben Fei (3 shared papers)
- Journals
- Advanced Energy Materials (3 papers)Applied Catalysis B: Environmental (2 papers)ACS Nano (2 papers)Advanced Science (1 paper)The Journal of Physical Chemistry C (1 paper)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Huaxian Jia
16 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 48
- Renewable Energy, Sustainability and the Environment 948
- Catalysis 151
- Electrochemistry 117
- Electrical and Electronic Engineering 872
- Electronic, Optical and Magnetic Materials 204
Countries citing papers authored by Huaxian Jia
This map shows the geographic impact of Huaxian Jia'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 Huaxian Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huaxian Jia more than expected).
Fields of papers citing papers by Huaxian Jia
This network shows the impact of papers produced by Huaxian Jia. 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 Huaxian Jia. The network helps show where Huaxian Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Huaxian Jia, 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 | 2019 | 324 | |
| 2 | 2019 | 300 | |
| 3 | 2020 | 127 | |
| 4 | 2019 | 124 | |
| 5 | 2023 | 106 | |
| 6 | 2019 | 90 | |
| 7 | 2021 | 73 | |
| 8 | 2019 | 55 | |
| 9 | 2022 | 49 | |
| 10 | 2022 | 44 | |
| 11 | 2023 | 28 | |
| 12 | 2022 | 25 | |
| 13 | 2022 | 16 | |
| 14 | 2024 | 15 | |
| 15 | 2023 | 13 | |
| 16 | 2024 | 1 |
About Huaxian Jia
Huaxian Jia is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Atomic and Molecular Physics, and Optics and Organic Chemistry, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (6 papers), Electrocatalysts for Energy Conversion (5 papers), Machine Learning in Materials Science (4 papers), 2D Materials and Applications (3 papers), Advanced battery technologies research (3 papers), Chalcogenide Semiconductor Thin Films (3 papers), Topological Materials and Phenomena (3 papers) and Nanomaterials for catalytic reactions (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (948 citations), Catalysis (151 citations), Electrochemistry (117 citations), Electrical and Electronic Engineering (872 citations) and Electronic, Optical and Magnetic Materials (204 citations). Huaxian Jia has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Miao Liu, Renbing Wu, Yuan Ha, Ziliang Chen, Hongbin Xu, Mao Chen, Xiaoxiao Yan, Ben Fei, Jichao Zhang and Guanghui Cai. Their work appears in journals such as Advanced Energy Materials, Applied Catalysis B: Environmental, ACS Nano, Advanced Science and The Journal of Physical Chemistry C.
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.