Aaron Lou

808 citations
6 papers · 287 · 1 hit paper · h-index 2

Impact in

Papers in

Aaron Lou

4 papers receiving 279 citations

Aaron Lou's Hit Papers

Sequence modeling and design from molecular to genome scale with Evo 2024 · 235 citations
2350+1Years since publication50100150200

Peers

Aaron Lou
Comparison fields: 5 of 66
  • Health Informatics 7
  • Aging 4
  • Molecular Biology 117
  • Business and International Management 3
  • Computer Graphics and Computer-Aided Design 4
Replace Michael B. Mayhew with:
Michael B. Mayhew United States
Anusri Pampari United States
Serena Yeung-Levy United States
Qinhu Zhang China
CJ Barberan United States
Farida Zehraoui France
Chunwei Ma China
Remo Monti Germany
Wenjia He China
Aaron Lou relative to Michael B. Mayhew United States Michael B. Mayhew's profile →
Citations per field
00.5×5×11.1×
Michael B. Mayhew · 1×
Citations per year

Countries citing papers authored by Aaron Lou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Aaron Lou Line = papers co-authored together Aaron Lou links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Sequence modeling and design from molecular to genome scale with Evo
Hit paper breakdown →
2024235
2 202450
3
Learning Complex Geometric Structures from Data with Deep Riemannian Manifolds
20211
4 20231
5 20230
6 20240

About Aaron Lou

Aaron Lou is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology, Computational Theory and Mathematics, Computational Mechanics and Artificial Intelligence, having authored 6 papers that have together received 287 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (1 paper), Genomics and Phylogenetic Studies (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), Image Processing and 3D Reconstruction (1 paper), Morphological variations and asymmetry (1 paper), 3D Shape Modeling and Analysis (1 paper), RNA and protein synthesis mechanisms (1 paper) and Advanced Multi-Objective Optimization Algorithms (1 paper). The work is most often cited by research in Health Informatics (7 citations), Aging (4 citations), Molecular Biology (117 citations), Business and International Management (3 citations) and Computer Graphics and Computer-Aided Design (4 citations). Aaron Lou has collaborated with scholars based in United States. Frequent co-authors include Stefano Ermon, Matthew G. Durrant, S. B. King, Dhruva Katrekar, Armin W. Thomas, Madelena Y. Ng, Chris Ré, Stephen A. Baccus, Ashley Adanna Lewis and Michael Poli. Their work appears in journals such as Science.

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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