Haoyan Huo
- Materials Chemistry top 5%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Gerbrand CederTanjin HeOlga KononovaMatthias RuppWenhao SunZiqin RongVahe TshitoyanTiago Botari
- Topics
- Machine Learning in Materials Science (14 papers)X-ray Diffraction in Crystallography (6 papers)Topic Modeling (5 papers)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Haoyan Huo
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Materials Chemistry 880
- Artificial Intelligence 232
- Computational Theory and Mathematics 212
- Electrical and Electronic Engineering 206
- Biomedical Engineering 83
Countries citing papers authored by Haoyan Huo
This map shows the geographic impact of Haoyan Huo'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 Haoyan Huo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoyan Huo more than expected).
Fields of papers citing papers by Haoyan Huo
This network shows the impact of papers produced by Haoyan Huo. 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 Haoyan Huo. The network helps show where Haoyan Huo may publish in the future.
Co-authorship network of co-authors of Haoyan Huo
This figure shows the co-authorship network connecting the top 25 collaborators of Haoyan Huo. A scholar is included among the top collaborators of Haoyan Huo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haoyan Huo. Haoyan Huo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 6 | |
| 3 | 35 | |
| 4 | 31 | |
| 5 | 108 | |
| 6 | 51 | |
| 7 | 42 | |
| 8 | 51 | |
| 9 | 111 | |
| 10 | 20 | |
| 11 | 120 | |
| 12 | 118 | |
| 13 | 18 | |
| 14 | 63 | |
| 15 | 179 | |
| 16 | 118 | |
| 17 | Unified Representation for Machine Learning of Molecules and Crystals | 20 |
| 18 | 9 |
About Haoyan Huo
Haoyan Huo is a scholar working on Materials Chemistry, Catalysis and Computational Theory and Mathematics, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (14 papers), X-ray Diffraction in Crystallography (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Materials Chemistry (880 citations), Computational Theory and Mathematics (212 citations) and Catalysis (73 citations). Haoyan Huo has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Gerbrand Ceder, Tanjin He, Olga Kononova, Matthias Rupp, Wenhao Sun, Ziqin Rong, Vahe Tshitoyan, Tiago Botari, Amalie Trewartha and Christopher J. Bartel. Their work appears in journals such as Nature Communications, PLoS ONE and Chemistry of Materials.
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.