Sida Huang
Impact in
- Catalysis top 5%
- Catalysis and Oxidation Reactions
- Catalysts for Methane Reforming
- Materials Chemistry top 10%
- Machine Learning in Materials Science
- Catalytic Processes in Materials Science
- Nanocluster Synthesis and Applications
- Advanced Nanomaterials in Catalysis
Papers in
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- Machine Learning in Materials Science 6
- Catalytic Processes in Materials Science 4
- X-ray Diffraction in Crystallography 2
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- Blockchain Technology Applications and Security 3
- Spam and Phishing Detection 2
- Co-authors
- Zhi‐Pan Liu (10 shared papers)Cheng Shang (7 shared papers)Pei‐Lin Kang (2 shared papers)Sicong Ma (3 shared papers)Qiaofeng Yao (1 shared paper)Jianping Xie (1 shared paper)De‐en Jiang (1 shared paper)Tiankai Chen (1 shared paper)
In The Last Decade
Sida Huang
19 papers receiving 932 citations
Peers
Comparison fields: 5 of 85
- Catalysis 213
- Materials Chemistry 687
- Renewable Energy, Sustainability and the Environment 196
- Process Chemistry and Technology 29
- Inorganic Chemistry 68
Countries citing papers authored by Sida Huang
This map shows the geographic impact of Sida Huang'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 Sida Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sida Huang more than expected).
Fields of papers citing papers by Sida Huang
This network shows the impact of papers produced by Sida Huang. 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 Sida Huang. The network helps show where Sida Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sida Huang, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 183 | |
| 2 | 2019 | 180 | |
| 3 | 2019 | 133 | |
| 4 | 2018 | 115 | |
| 5 | 2018 | 108 | |
| 6 | 2021 | 46 | |
| 7 | 2018 | 40 | |
| 8 | 2024 | 30 | |
| 9 | 2022 | 18 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 15 | |
| 12 | 2022 | 13 | |
| 13 | 2019 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2017 | 11 | |
| 16 | 2021 | 9 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 1 | |
| 20 | 2021 | 0 |
About Sida Huang
Sida Huang is a scholar working on Materials Chemistry, Information Systems, Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 24 papers that have together received 949 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Catalytic Processes in Materials Science (4 papers), Blockchain Technology Applications and Security (3 papers), Cryptography and Data Security (2 papers), X-ray Diffraction in Crystallography (2 papers), Advanced Neural Network Applications (2 papers), Spam and Phishing Detection (2 papers) and Catalysis and Oxidation Reactions (2 papers). The work is most often cited by research in Catalysis (213 citations), Materials Chemistry (687 citations), Renewable Energy, Sustainability and the Environment (196 citations), Process Chemistry and Technology (29 citations) and Inorganic Chemistry (68 citations). Sida Huang has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Zhi‐Pan Liu, Cheng Shang, Pei‐Lin Kang, Sicong Ma, Qiaofeng Yao, Jianping Xie, De‐en Jiang, Tiankai Chen, Victor Fung and Jim Yang Lee. Their work appears in journals such as Chemical Science, ACS Catalysis, Nature Communications, IEEE Transactions on Intelligent Transportation Systems and Journal of Computational Chemistry.
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.