Horace He

1.9k total citations · 1 hit paper
5 papers, 382 citations indexed

About

Horace He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Horace He has authored 5 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Horace He's work include Complex Network Analysis Techniques (1 paper), Cardiac Arrest and Resuscitation (1 paper) and Machine Learning in Materials Science (1 paper). Horace He is often cited by papers focused on Complex Network Analysis Techniques (1 paper), Cardiac Arrest and Resuscitation (1 paper) and Machine Learning in Materials Science (1 paper). Horace He collaborates with scholars based in United States and Israel. Horace He's co-authors include Serge Belongie, Ser-Nam Lim, Qian Huang, Quentin Anthony, Michael Pieler, Laria Reynolds, Jason Phang, Ben Wang, Samuel Weinbach and Leo Gao and has published in prestigious journals such as Proceedings of the ACM on Programming Languages, Research at the University of Copenhagen (University of Copenhagen) and arXiv (Cornell University).

In The Last Decade

Horace He

5 papers receiving 364 citations

Hit Papers

GPT-NeoX-20B: An Open-Source Autoregressive Language Model 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Horace He United States 3 305 87 45 32 30 5 382
Quentin Anthony United States 7 234 0.8× 71 0.8× 52 1.2× 34 1.1× 9 0.3× 22 364
Michał Podstawski Switzerland 5 172 0.6× 107 1.2× 117 2.6× 49 1.5× 16 0.5× 6 357
Lukas Gianinazzi Switzerland 6 139 0.5× 51 0.6× 28 0.6× 11 0.3× 9 0.3× 14 225
Christopher A. Choquette-Choo United States 6 302 1.0× 84 1.0× 67 1.5× 5 0.2× 33 1.1× 10 406
Ahoud Alhazmi Australia 4 248 0.8× 42 0.5× 48 1.1× 6 0.2× 68 2.3× 8 293
Qingxiu Dong China 7 199 0.7× 50 0.6× 39 0.9× 5 0.2× 10 0.3× 11 297
Lingfan Yu China 4 188 0.6× 114 1.3× 40 0.9× 29 0.9× 13 0.4× 6 316
Wangchunshu Zhou China 14 382 1.3× 174 2.0× 29 0.6× 6 0.2× 16 0.5× 37 476
Fanchao Qi China 12 482 1.6× 61 0.7× 68 1.5× 12 0.4× 136 4.5× 24 546
Shreya Shankar United States 8 104 0.3× 61 0.7× 23 0.5× 5 0.2× 13 0.4× 16 212

Countries citing papers authored by Horace He

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Horace He

This figure shows the co-authorship network connecting the top 25 collaborators of Horace He. A scholar is included among the top collaborators of Horace He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Horace He. Horace He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Biderman, Stella, Quentin Anthony, Leo Gao, et al.. (2022). GPT-NeoX-20B: An Open-Source Autoregressive Language Model. 95–136. 235 indexed citations breakdown →
2.
Huang, Qian, et al.. (2021). Combining Label Propagation and Simple Models out-performs Graph Neural Networks. arXiv (Cornell University). 2 indexed citations
3.
Steiner, Benoit, Chris Cummins, Horace He, & Hugh Leather. (2021). Value Learning for Throughput Optimization of Deep Learning Workloads. 3. 323–334. 17 indexed citations
4.
He, Horace, et al.. (2020). Geometry types for graphics programming. Proceedings of the ACM on Programming Languages. 4(OOPSLA). 1–25. 2 indexed citations
5.
Huang, Qian, et al.. (2019). Enhancing Adversarial Example Transferability With an Intermediate Level Attack. Research at the University of Copenhagen (University of Copenhagen). 4732–4741. 126 indexed citations

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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