Erhai Hu
Impact in
- Catalysis top 10%
- Ammonia Synthesis and Nitrogen Reduction
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- Advanced Photocatalysis Techniques
- Electrocatalysts for Energy Conversion
- CO2 Reduction Techniques and Catalysts
Papers in
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- Advancements in Battery Materials 10
- Advanced Battery Materials and Technologies 9
- Advanced battery technologies research 5
- Advanced Memory and Neural Computing 2
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- Ammonia Synthesis and Nitrogen Reduction 4
- Co-authors
- Qingyu Yan (16 shared papers)Ian P. Seetoh (1 shared paper)Chang Quan Lai (1 shared paper)Qiang Zhu (5 shared papers)Bei‐Er Jia (7 shared papers)Wei Zhang (1 shared paper)Jianwei Xu (3 shared papers)Chuntai Liu (1 shared paper)
In The Last Decade
Erhai Hu
18 papers receiving 306 citations
Peers
Comparison fields: 5 of 45
- Catalysis 66
- Renewable Energy, Sustainability and the Environment 82
- Automotive Engineering 35
- Process Chemistry and Technology 6
- Electrical and Electronic Engineering 118
Countries citing papers authored by Erhai Hu
This map shows the geographic impact of Erhai Hu'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 Erhai Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erhai Hu more than expected).
Fields of papers citing papers by Erhai Hu
This network shows the impact of papers produced by Erhai Hu. 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 Erhai Hu. The network helps show where Erhai Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Erhai Hu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 48 | |
| 2 | 2023 | 38 | |
| 3 | 2024 | 35 | |
| 4 | 2023 | 34 | |
| 5 | 2023 | 28 | |
| 6 | 2024 | 25 | |
| 7 | 2024 | 16 | |
| 8 | 2024 | 16 | |
| 9 | 2025 | 15 | |
| 10 | 2023 | 12 | |
| 11 | 2024 | 8 | |
| 12 | 2025 | 7 | |
| 13 | 2025 | 7 | |
| 14 | 2025 | 7 | |
| 15 | 2025 | 6 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Erhai Hu
Erhai Hu is a scholar working on Electrical and Electronic Engineering, Catalysis, Materials Chemistry, Renewable Energy, Sustainability and the Environment and Computer Networks and Communications, having authored 21 papers that have together received 307 indexed citations. Recurring topics across this work include Advancements in Battery Materials (10 papers), Advanced Battery Materials and Technologies (9 papers), Advanced battery technologies research (5 papers), Ammonia Synthesis and Nitrogen Reduction (4 papers), CO2 Reduction Techniques and Catalysts (2 papers), Advanced Photocatalysis Techniques (2 papers), Advanced Memory and Neural Computing (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Catalysis (66 citations), Renewable Energy, Sustainability and the Environment (82 citations), Automotive Engineering (35 citations), Process Chemistry and Technology (6 citations) and Electrical and Electronic Engineering (118 citations). Erhai Hu has collaborated with scholars based in Singapore, China and Indonesia. Frequent co-authors include Qingyu Yan, Ian P. Seetoh, Chang Quan Lai, Qiang Zhu, Bei‐Er Jia, Wei Zhang, Jianwei Xu, Chuntai Liu, Hongge Pan and Afriyanti Sumboja. Their work appears in journals such as ACS Nano, Advanced Functional Materials, Rare Metals, Advanced Energy Materials and Science Bulletin.
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.