Stanley Lo
Impact in
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- Machine Learning in Materials Science
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- Scientific Computing and Data Management
Papers in
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- Computational Drug Discovery Methods 3
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- Advanced Sensor and Energy Harvesting Materials 1
- Co-authors
- Alán Aspuru‐Guzik (5 shared papers)Martin Seifrid (3 shared papers)Sterling G. Baird (2 shared papers)Gary Tom (4 shared papers)Marta Skreta (1 shared paper)Ella Miray Rajaonson (2 shared papers)Felix Strieth‐Kalthoff (1 shared paper)Yang Cao (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (1 paper)Journal of Materials Chemistry A (1 paper)Machine Learning Science and Technology (1 paper)Chemical Reviews (1 paper)Advanced Electronic Materials (1 paper)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Stanley Lo
6 papers receiving 333 citations
Stanley Lo's Hit Papers
Peers
Comparison fields: 5 of 62
- Materials Chemistry 148
- Information Systems and Management 21
- Computational Theory and Mathematics 35
- Inorganic Chemistry 22
- Biomedical Engineering 60
Countries citing papers authored by Stanley Lo
This map shows the geographic impact of Stanley Lo'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 Stanley Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanley Lo more than expected).
Fields of papers citing papers by Stanley Lo
This network shows the impact of papers produced by Stanley Lo. 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 Stanley Lo. The network helps show where Stanley Lo may publish in the future.
Co-authors
The 25 scholars most cited alongside Stanley Lo, 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 | Self-Driving Laboratories for Chemistry and Materials Science Hit paper breakdown → | 2024 | 269 |
| 2 | 2024 | 43 | |
| 3 | 2023 | 15 | |
| 4 | 2024 | 10 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 0 |
About Stanley Lo
Stanley Lo is a scholar working on Computational Theory and Mathematics, Biomedical Engineering, Materials Chemistry, Artificial Intelligence and Electrical and Electronic Engineering, having authored 7 papers that have together received 339 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Machine Learning in Materials Science (3 papers), Organic Electronics and Photovoltaics (2 papers), Data Stream Mining Techniques (2 papers), Conducting polymers and applications (1 paper), Olfactory and Sensory Function Studies (1 paper), Advanced Sensor and Energy Harvesting Materials (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Materials Chemistry (148 citations), Information Systems and Management (21 citations), Computational Theory and Mathematics (35 citations), Inorganic Chemistry (22 citations) and Biomedical Engineering (60 citations). Stanley Lo has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Alán Aspuru‐Guzik, Martin Seifrid, Sterling G. Baird, Gary Tom, Marta Skreta, Ella Miray Rajaonson, Felix Strieth‐Kalthoff, Yang Cao, Kourosh Darvish and Stefan P. Schmid. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Materials Chemistry A, Machine Learning Science and Technology, Chemical Reviews and Advanced Electronic 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.