Janice Lan

1.1k total citations · 1 hit paper
4 papers, 236 citations indexed

About

Janice Lan is a scholar working on Materials Chemistry, Artificial Intelligence and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Janice Lan has authored 4 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Materials Chemistry, 2 papers in Artificial Intelligence and 2 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Janice Lan's work include Machine Learning in Materials Science (3 papers), Neural Networks and Applications (2 papers) and Electrocatalysts for Energy Conversion (2 papers). Janice Lan is often cited by papers focused on Machine Learning in Materials Science (3 papers), Neural Networks and Applications (2 papers) and Electrocatalysts for Energy Conversion (2 papers). Janice Lan collaborates with scholars based in United States, Canada and Israel. Janice Lan's co-authors include C. Lawrence Zitnick, Zachary W. Ulissi, Muhammed Shuaibi, Brandon M. Wood, Abhishek Das, Javier Heras‐Domingo, Anuroop Sriram, Adeesh Kolluru, Siddharth Goyal and Oleksandr Voznyy and has published in prestigious journals such as ACS Catalysis, The Journal of Physical Chemistry C and npj Computational Materials.

In The Last Decade

Janice Lan

4 papers receiving 225 citations

Hit Papers

The Open Catalyst 2022 (OC22) Dataset and Challenges for ... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janice Lan United States 4 190 62 49 40 33 4 236
Adeesh Kolluru United States 4 209 1.1× 67 1.1× 59 1.2× 44 1.1× 34 1.0× 6 252
Felix Brockherde Germany 2 322 1.7× 32 0.5× 111 2.3× 25 0.6× 64 1.9× 2 350
Edward J. Beard United Kingdom 7 184 1.0× 35 0.6× 74 1.5× 11 0.3× 43 1.3× 8 295
Sina Stocker Germany 5 222 1.2× 27 0.4× 103 2.1× 37 0.9× 30 0.9× 5 266
Esben L. Kolsbjerg Denmark 8 241 1.3× 42 0.7× 63 1.3× 44 1.1× 63 1.9× 10 310
Tairan Wang China 7 172 0.9× 86 1.4× 25 0.5× 70 1.8× 95 2.9× 20 353
Jessica Freeze United States 5 139 0.7× 40 0.6× 50 1.0× 27 0.7× 34 1.0× 7 302
Stefan Heinen Canada 6 263 1.4× 53 0.9× 152 3.1× 62 1.6× 24 0.7× 12 303
Callum J. Court United Kingdom 5 305 1.6× 14 0.2× 107 2.2× 18 0.5× 43 1.3× 5 387
Todd A. Marquart United States 7 326 1.7× 19 0.3× 65 1.3× 12 0.3× 110 3.3× 9 641

Countries citing papers authored by Janice Lan

Since Specialization
Citations

This map shows the geographic impact of Janice Lan'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 Janice Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janice Lan more than expected).

Fields of papers citing papers by Janice Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janice Lan. 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 Janice Lan. The network helps show where Janice Lan may publish in the future.

Co-authorship network of co-authors of Janice Lan

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

All Works

4 of 4 papers shown
1.
Lan, Janice, et al.. (2024). Improved Uncertainty Estimation of Graph Neural Network Potentials Using Engineered Latent Space Distances. The Journal of Physical Chemistry C. 128(49). 20799–20810. 3 indexed citations
2.
Lan, Janice, Aini Palizhati, Muhammed Shuaibi, et al.. (2023). AdsorbML: a leap in efficiency for adsorption energy calculations using generalizable machine learning potentials. npj Computational Materials. 9(1). 54 indexed citations
3.
Tran, Richard, Janice Lan, Muhammed Shuaibi, et al.. (2023). The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts. ACS Catalysis. 13(5). 3066–3084. 174 indexed citations breakdown →
4.
Lan, Janice, et al.. (2019). LCA: Loss Change Allocation for Neural Network Training. arXiv (Cornell University). 32. 3614–3624. 5 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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