Aja Huang

28.6k citations
4 papers · 14.1k indexed · 3 hit papers · h-index 4

Impact in

    • Reinforcement Learning in Robotics
    • Artificial Intelligence in Games
    • Adversarial Robustness in Machine Learning
    • Evolutionary Algorithms and Applications

Papers in

Aja Huang

4 papers receiving 13.5k citations

Hit Papers

Discovering faster matrix multiplication algorithms with reinforcement learning 2022 · 244 citations
24420162026201920222.5k5.0k7.5k

Peers

Aja Huang
Comparison fields: 5 of 206
  • Artificial Intelligence 7.3k
  • Health Informatics 180
  • Computer Vision and Pattern Recognition 2.1k
  • Automotive Engineering 895
  • Control and Systems Engineering 1.7k
Replace Julian Schrittwieser with:
Julian Schrittwieser United Kingdom
George van den Driessche United Kingdom
Marc Lanctot United Kingdom
Laurent Sifre United Kingdom
Arthur Guez United Kingdom
Thore Graepel United Kingdom
Nal Kalchbrenner United Kingdom
Sander Dieleman Belgium
Dominik Grewe United Kingdom
Stig Petersen United Kingdom
Aja Huang relative to Julian Schrittwieser United Kingdom Julian Schrittwieser's profile →
Citations per field
00.5×1.5×
Julian Schrittwieser · 1×
Citations per year

Countries citing papers authored by Aja Huang

Since Specialization
Citations

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

Fields of papers citing papers by Aja Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aja Huang, 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 Aja Huang Line = papers co-authored together Aja Huang links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Aja Huang

Aja Huang is a scholar working on Computational Mathematics, Developmental and Educational Psychology, Artificial Intelligence, Economics and Econometrics and Computational Theory and Mathematics, having authored 4 papers that have together received 14.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (3 papers), Educational Games and Gamification (3 papers), Sports Analytics and Performance (2 papers), Evolutionary Algorithms and Applications (1 paper), Cellular Automata and Applications (1 paper), Tensor decomposition and applications (1 paper) and Reinforcement Learning in Robotics (1 paper). The work is most often cited by research in Artificial Intelligence (7.3k citations), Health Informatics (180 citations), Computer Vision and Pattern Recognition (2.1k citations), Automotive Engineering (895 citations) and Control and Systems Engineering (1.7k citations). Aja Huang has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include David Silver, Julian Schrittwieser, Demis Hassabis, Arthur Guez, Ioannis Antonoglou, George van den Driessche, Timothy Lillicrap, Laurent Sifre, Thore Graepel and Ilya Sutskever. Their work appears in journals such as Nature 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026