Stanley Lo

509 total citations · 1 hit paper
7 papers, 257 citations indexed

About

Stanley Lo is a scholar working on Computational Theory and Mathematics, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Stanley Lo has authored 7 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Theory and Mathematics, 3 papers in Biomedical Engineering and 3 papers in Materials Chemistry. Recurrent topics in Stanley Lo's work include Machine Learning in Materials Science (3 papers), Computational Drug Discovery Methods (3 papers) and Organic Electronics and Photovoltaics (2 papers). Stanley Lo is often cited by papers focused on Machine Learning in Materials Science (3 papers), Computational Drug Discovery Methods (3 papers) and Organic Electronics and Photovoltaics (2 papers). Stanley Lo collaborates with scholars based in Canada, United States and Switzerland. Stanley Lo's co-authors include Alán Aspuru‐Guzik, Martin Seifrid, Sterling G. Baird, Samantha Corapi, Gary Tom, Ella Miray Rajaonson, Yang Cao, Han Hao, Gun Deniz Akkoc and Stefan P. Schmid and has published in prestigious journals such as Chemical Reviews, SHILAP Revista de lepidopterología and Journal of Materials Chemistry A.

In The Last Decade

Stanley Lo

6 papers receiving 250 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Self-Driving Laboratories for Chemistry and Materials Science

2024 198 citations Gary Tom, Stefan P. Schmid et al. Chemical Reviews profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Stanley Lo Canada	4	124	53	47	34	20	7	257
Ella Miray Rajaonson Canada	3	114 0.9×	46 0.9×	38 0.8×	39 1.1×	16 0.8×	5	241
Samantha Corapi Canada	2	96 0.8×	43 0.8×	35 0.7×	28 0.8×	14 0.7×	3	204
Gun Deniz Akkoc Germany	5	115 0.9×	47 0.9×	47 1.0×	27 0.8×	15 0.8×	6	240
Sterling G. Baird United States	10	245 2.0×	90 1.7×	63 1.3×	69 2.0×	43 2.1×	20	440
Qiaohao Liang United States	6	202 1.6×	29 0.5×	63 1.3×	50 1.5×	6 0.3×	9	292
Teresa Tamayo-Mendoza Canada	6	167 1.3×	88 1.7×	43 0.9×	64 1.9×	36 1.8×	6	281
Oliver Schilter Switzerland	6	174 1.4×	27 0.5×	24 0.5×	68 2.0×	27 1.4×	9	335
Carlo Baldassari Switzerland	3	142 1.1×	25 0.5×	17 0.4×	56 1.6×	25 1.3×	4	278
Cher Tian Ser Canada	4	288 2.3×	91 1.7×	121 2.6×	88 2.6×	31 1.6×	4	479
Sam Cox United States	3	189 1.5×	29 0.5×	22 0.5×	77 2.3×	33 1.6×	4	340

Countries citing papers authored by Stanley Lo

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Stanley Lo

This figure shows the co-authorship network connecting the top 25 collaborators of Stanley Lo. A scholar is included among the top collaborators of Stanley Lo 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 Stanley Lo. Stanley Lo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

LeCroy, Garrett, Stanley Lo, Yunfei Wang, et al.. (2025). Soft and Stretchable Thienopyrroledione‐Based Polymers via Direct Arylation. Advanced Electronic Materials. 11(17).

2.

Tom, Gary, et al.. (2025). Does this smell the same? Learning representations of olfactory mixtures using inductive biases. Machine Learning Science and Technology. 6(3). 35063–35063. 1 indexed citations

3.

Tom, Gary, Stanley Lo, Samantha Corapi, Alán Aspuru‐Guzik, & Benjamín Sánchez-Lengeling. (2025). Ranking over regression for Bayesian optimization and molecule selection. SHILAP Revista de lepidopterología. 3(3). 1 indexed citations

4.

Lo, Stanley, Sterling G. Baird, Joshua Schrier, et al.. (2024). Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept. Digital Discovery. 3(5). 842–868. 35 indexed citations

5.

Seifrid, Martin, Stanley Lo, Gary Tom, et al.. (2024). Beyond molecular structure: critically assessing machine learning for designing organic photovoltaic materials and devices. Journal of Materials Chemistry A. 12(24). 14540–14558. 9 indexed citations

6.

Tom, Gary, Stefan P. Schmid, Sterling G. Baird, et al.. (2024). Self-Driving Laboratories for Chemistry and Materials Science. Chemical Reviews. 124(16). 9633–9732. 198 indexed citations breakdown →

7.

Lo, Stanley, Martin Seifrid, Théophile Gaudin, & Alán Aspuru‐Guzik. (2023). Augmenting Polymer Datasets by Iterative Rearrangement. Journal of Chemical Information and Modeling. 63(14). 4266–4276. 13 indexed citations

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.

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