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
- Madelena Y. Ng (1 shared paper)Stephen A. Baccus (1 shared paper)Stefano Ermon (1 shared paper)Armin W. Thomas (1 shared paper)S. B. King (1 shared paper)Tina Hernandez‐Boussard (1 shared paper)David Li (1 shared paper)Brian Kang (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 206 citations
Aaron Lou's Hit Papers
Peers
Comparison fields: 5 of 62
- Health Informatics 6
- Aging 3
- Business and International Management 3
- Molecular Biology 93
- Computer Graphics and Computer-Aided Design 4
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 | 179 |
| 2 | 2024 | 31 | |
| 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 212 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), 3D Shape Modeling and Analysis (2 papers), Genomics and Phylogenetic Studies (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper), Image Processing and 3D Reconstruction (1 paper), Morphological variations and asymmetry (1 paper), Model Reduction and Neural Networks (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Health Informatics (6 citations), Aging (3 citations), Business and International Management (3 citations), Molecular Biology (93 citations) and Computer Graphics and Computer-Aided Design (4 citations). Aaron Lou has collaborated with scholars based in United States and Israel. Frequent co-authors include Madelena Y. Ng, Stephen A. Baccus, Stefano Ermon, Armin W. Thomas, S. B. King, Tina Hernandez‐Boussard, David Li, Brian Kang, Brian Hie and Matthew G. Durrant. 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.