Kun Yao
Impact in
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- Computational Drug Discovery Methods
- Materials Chemistry top 5%
- Machine Learning in Materials Science
- Carbon Nanotubes in Composites
- Graphene research and applications
Papers in
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- Machine Learning in Materials Science 9
- Graphene research and applications 4
-
- Polymer Nanocomposites and Properties 9
- Flame retardant materials and properties 6
- Polymer Science and PVC 5
- Polymer crystallization and properties 5
- Polymer Foaming and Composites 5
- Co-authors
- John Parkhill (8 shared papers)John E. Herr (5 shared papers)Tao Tang (15 shared papers)Jiang Gong (12 shared papers)Karl Leswing (2 shared papers)Steven V. Jerome (2 shared papers)Matthew P. Repasky (2 shared papers)Xin Wen (7 shared papers)
- Journals
- RSC Advances (5 papers)Journal of Chemical Theory and Computation (4 papers)Polymer (3 papers)The Journal of Physical Chemistry C (3 papers)The Journal of Chemical Physics (2 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Kun Yao
66 papers receiving 2.9k citations
Kun Yao's Hit Papers
Peers
Comparison fields: 5 of 144
- Computational Theory and Mathematics 523
- Materials Chemistry 1.4k
- Polymers and Plastics 328
- Renewable Energy, Sustainability and the Environment 189
- Catalysis 81
Countries citing papers authored by Kun Yao
This map shows the geographic impact of Kun Yao'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 Kun Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Yao more than expected).
Fields of papers citing papers by Kun Yao
This network shows the impact of papers produced by Kun Yao. 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 Kun Yao. The network helps show where Kun Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Yao, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The TensorMol-0.1 model chemistry: a neural network augmented with long-range physics Hit paper breakdown → | 2018 | 369 |
| 2 | 2007 | 300 | |
| 3 | Efficient Exploration of Chemical Space with Docking and Deep Learning Hit paper breakdown → | 2021 | 254 |
| 4 | Epik: p K a and Protonation State Prediction through Machine Learning Hit paper breakdown → | 2023 | 165 |
| 5 | Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment Hit paper breakdown → | 2023 | 115 |
| 6 | 2013 | 112 | |
| 7 | 2017 | 104 | |
| 8 | 2016 | 103 | |
| 9 | 2015 | 98 | |
| 10 | 2021 | 90 | |
| 11 | 2022 | 84 | |
| 12 | 2013 | 73 | |
| 13 | 2016 | 71 | |
| 14 | 2012 | 66 | |
| 15 | 2014 | 57 | |
| 16 | 2019 | 55 | |
| 17 | 2012 | 54 | |
| 18 | 2018 | 54 | |
| 19 | 2015 | 45 | |
| 20 | 2013 | 44 |
About Kun Yao
Kun Yao is a scholar working on Materials Chemistry, Polymers and Plastics, Electrical and Electronic Engineering, Computational Theory and Mathematics and Biomedical Engineering, having authored 69 papers that have together received 2.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Polymer Nanocomposites and Properties (9 papers), Machine Learning in Materials Science (9 papers), Flame retardant materials and properties (6 papers), Polymer Science and PVC (5 papers), Polymer crystallization and properties (5 papers), Polymer Foaming and Composites (5 papers) and Graphene research and applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (523 citations), Materials Chemistry (1.4k citations), Polymers and Plastics (328 citations), Renewable Energy, Sustainability and the Environment (189 citations) and Catalysis (81 citations). Kun Yao has collaborated with scholars based in China, United States and Poland. Frequent co-authors include John Parkhill, John E. Herr, Tao Tang, Jiang Gong, Karl Leswing, Steven V. Jerome, Matthew P. Repasky, Xin Wen, Zhiwei Jiang and Nana Tian. Their work appears in journals such as RSC Advances, Journal of Chemical Theory and Computation, Polymer, The Journal of Physical Chemistry C 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.