Haoyuan Chen
- Inorganic Chemistry top 1%
- Metal-Organic Frameworks: Synthesis and Applications 28
- Materials Chemistry top 5%
- Covalent Organic Framework Applications 8
- Enzyme Structure and Function 5
- Machine Learning in Materials Science 5
- Process Chemistry and Technology top 10%
- Biochemistry top 5%
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- RNA and protein synthesis mechanisms 7
- DNA and Nucleic Acid Chemistry 6
- Protein Structure and Dynamics 5
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- Spectroscopy and Quantum Chemical Studies 6
- Co-authors
- Randall Q. SnurrOmar K. FarhaTimur İslamoğluDarrin M. YorkTimothy J. GieseDonald B. McCormickZhijie ChenLan Xiang
- Journals
- Journal of the American Chemical Society (7 papers)Journal of Biological Chemistry (1 paper)The Journal of Chemical Physics (2 papers)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Haoyuan Chen
88 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 128
- Inorganic Chemistry 1.0k
- Materials Chemistry 1.3k
- Process Chemistry and Technology 54
- Biochemistry 98
- Renewable Energy, Sustainability and the Environment 214
Countries citing papers authored by Haoyuan Chen
This map shows the geographic impact of Haoyuan Chen'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 Haoyuan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoyuan Chen more than expected).
Fields of papers citing papers by Haoyuan Chen
This network shows the impact of papers produced by Haoyuan Chen. 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 Haoyuan Chen. The network helps show where Haoyuan Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haoyuan Chen, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 20 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2021 | 62 | |
| 14 | 2021 | 134 | |
| 15 | 2020 | 78 | |
| 16 | 2019 | 28 | |
| 17 | 2019 | 28 | |
| 18 | 2015 | 17 | |
| 19 | New characteristics of scientific journals published by Chinese universities | 2009 | 1 |
| 20 | 1997 | 15 |
About Haoyuan Chen
Haoyuan Chen is a scholar working on Inorganic Chemistry, Process Chemistry and Technology and Filtration and Separation, having authored 100 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (28 papers), Covalent Organic Framework Applications (8 papers), RNA and protein synthesis mechanisms (7 papers), DNA and Nucleic Acid Chemistry (6 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (5 papers) and Machine Learning in Materials Science (5 papers). The work is most often cited by research in Inorganic Chemistry (1.0k citations), Materials Chemistry (1.3k citations) and Process Chemistry and Technology (54 citations). Haoyuan Chen has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Randall Q. Snurr, Omar K. Farha, Timur İslamoğlu, Darrin M. York, Timothy J. Giese, Donald B. McCormick, Zhijie Chen, Lan Xiang, Robert S. Phillips and Satoshi Kato. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and The Journal of Chemical Physics.
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.