Aaron Lou
Impact in
Papers in
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- Generative Adversarial Networks and Image Synthesis 2
- Image Processing and 3D Reconstruction 1
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- 3D Shape Modeling and Analysis 2
- Co-authors
- Matthew G. Durrant (1 shared paper)Tina Hernandez‐Boussard (1 shared paper)Dhruva Katrekar (1 shared paper)Christopher Ré (1 shared paper)Patrick D. Hsu (1 shared paper)Brian Hie (1 shared paper)Armin W. Thomas (1 shared paper)Madelena Y. Ng (1 shared paper)
- Journals
- Science (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Aaron Lou
4 papers receiving 143 citations
Aaron Lou's Hit Papers
Peers
Comparison fields: 5 of 60
- Health Informatics 6
- Business and International Management 3
- Molecular Biology 79
- Aging 2
- Tourism, Leisure and Hospitality Management 1
Countries citing papers authored by Aaron Lou
This map shows the geographic impact of Aaron Lou'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 Aaron Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Lou more than expected).
Fields of papers citing papers by Aaron Lou
This network shows the impact of papers produced by Aaron Lou. 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 Aaron Lou. The network helps show where Aaron Lou may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron Lou, 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 | Sequence modeling and design from molecular to genome scale with Evo Hit paper breakdown → | 2024 | 127 |
| 2 | 2024 | 19 | |
| 3 | Neural Manifold Ordinary Differential Equations | 2020 | 1 |
| 4 | Learning Complex Geometric Structures from Data with Deep Riemannian Manifolds | 2021 | 1 |
About Aaron Lou
Aaron Lou is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Molecular Biology, Geometry and Topology and Statistical and Nonlinear Physics, having authored 4 papers that have together received 148 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Reinforcement Learning in Robotics (1 paper), Image Processing and 3D Reconstruction (1 paper), CRISPR and Genetic Engineering (1 paper), Genomics and Phylogenetic Studies (1 paper), Model Reduction and Neural Networks (1 paper) and Advanced Multi-Objective Optimization Algorithms (1 paper). The work is most often cited by research in Health Informatics (6 citations), Business and International Management (3 citations), Molecular Biology (79 citations), Aging (2 citations) and Tourism, Leisure and Hospitality Management (1 citation). Aaron Lou has collaborated with scholars based in United States and Israel. Frequent co-authors include Matthew G. Durrant, Tina Hernandez‐Boussard, Dhruva Katrekar, Christopher Ré, Patrick D. Hsu, Brian Hie, Armin W. Thomas, Madelena Y. Ng, Ashley Lewis and Brian Kang. Their work appears in journals such as Science and arXiv (Cornell University).
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.