Stanley Lo
Impact in
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- Scientific Computing and Data Management
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- Machine Learning in Materials Science
Papers in
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- Computational Drug Discovery Methods 3
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- Advanced Chemical Sensor Technologies 1
- Co-authors
- Alán Aspuru‐Guzik (4 shared papers)Martin Seifrid (3 shared papers)Sterling G. Baird (2 shared papers)Ella Miray Rajaonson (2 shared papers)Samantha Corapi (2 shared papers)Gary Tom (4 shared papers)Gun Deniz Akkoc (1 shared paper)Sergio Pablo‐García (1 shared paper)
- Journals
- Machine Learning Science and Technology (1 paper)Journal of Materials Chemistry A (1 paper)Advanced Electronic Materials (1 paper)Chemical Reviews (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Stanley Lo
6 papers receiving 250 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Information Systems and Management 20
- Materials Chemistry 124
- Computational Theory and Mathematics 34
- Inorganic Chemistry 20
- Biophysics 7
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 | 198 |
| 2 | 2024 | 35 | |
| 3 | 2023 | 13 | |
| 4 | 2024 | 9 | |
| 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 257 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Machine Learning in Materials Science (3 papers), Data Stream Mining Techniques (2 papers), Organic Electronics and Photovoltaics (2 papers), Advanced Chemical Sensor Technologies (1 paper), Innovation and Socioeconomic Development (1 paper), Conducting polymers and applications (1 paper) and Open Source Software Innovations (1 paper). The work is most often cited by research in Information Systems and Management (20 citations), Materials Chemistry (124 citations), Computational Theory and Mathematics (34 citations), Inorganic Chemistry (20 citations) and Biophysics (7 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, Ella Miray Rajaonson, Samantha Corapi, Gary Tom, Gun Deniz Akkoc, Sergio Pablo‐García, Kourosh Darvish and Stefan P. Schmid. Their work appears in journals such as Machine Learning Science and Technology, Journal of Materials Chemistry A, Advanced Electronic Materials, Chemical Reviews and Journal of Chemical Information and Modeling.
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.