Horace He
Impact in
- Health Informatics top 10%
Papers in
-
- Advanced Graph Neural Networks 1
- Adversarial Robustness in Machine Learning 1
- Topic Modeling 1
- Co-authors
- Ser-Nam Lim (2 shared papers)Qian Huang (2 shared papers)Serge Belongie (1 shared paper)Michael Pieler (1 shared paper)Laria Reynolds (1 shared paper)Ben Wang (1 shared paper)Kyle McDonell (1 shared paper)Quentin Anthony (1 shared paper)
- Journals
- Proceedings of the ACM on Programming Languages (1 paper)Research at the University of Copenhagen (University of Copenhagen) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Horace He
5 papers receiving 371 citations
Horace He's Hit Papers
Peers
Comparison fields: 5 of 59
- Health Informatics 15
- Computational Mathematics 6
- Artificial Intelligence 307
- Software 20
- Hardware and Architecture 32
Countries citing papers authored by Horace He
This map shows the geographic impact of Horace He'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 Horace He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Horace He more than expected).
Fields of papers citing papers by Horace He
This network shows the impact of papers produced by Horace He. 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 Horace He. The network helps show where Horace He may publish in the future.
Co-authors
The 18 scholars most cited alongside Horace He, 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 | GPT-NeoX-20B: An Open-Source Autoregressive Language Model Hit paper breakdown → | 2022 | 240 |
| 2 | 2019 | 128 | |
| 3 | Value Learning for Throughput Optimization of Deep Learning Workloads | 2021 | 17 |
| 4 | Combining Label Propagation and Simple Models out-performs Graph Neural Networks | 2021 | 2 |
| 5 | 2020 | 2 |
About Horace He
Horace He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computational Mechanics and Emergency Medicine, having authored 5 papers that have together received 389 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (1 paper), Complex Network Analysis Techniques (1 paper), Adversarial Robustness in Machine Learning (1 paper), Cardiac Arrest and Resuscitation (1 paper), Machine Learning in Materials Science (1 paper), Computer Graphics and Visualization Techniques (1 paper), Advanced Numerical Analysis Techniques (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Health Informatics (15 citations), Computational Mathematics (6 citations), Artificial Intelligence (307 citations), Software (20 citations) and Hardware and Architecture (32 citations). Horace He has collaborated with scholars based in United States and Israel. Frequent co-authors include Ser-Nam Lim, Qian Huang, Serge Belongie, Michael Pieler, Laria Reynolds, Ben Wang, Kyle McDonell, Quentin Anthony, Leo Gao and Sidney Black. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Research at the University of Copenhagen (University of Copenhagen) 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.