Heewoo Jun

3.3k total citations · 1 hit paper
4 papers, 366 citations indexed

About

Heewoo Jun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Heewoo Jun has authored 4 papers receiving a total of 366 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 Signal Processing. Recurrent topics in Heewoo Jun's work include Speech Recognition and Synthesis (3 papers), Natural Language Processing Techniques (2 papers) and Topic Modeling (2 papers). Heewoo Jun is often cited by papers focused on Speech Recognition and Synthesis (3 papers), Natural Language Processing Techniques (2 papers) and Topic Modeling (2 papers). Heewoo Jun collaborates with scholars based in United States. Heewoo Jun's co-authors include Alec Radford, Ilya Sutskever, Rewon Child, Mark Chen, Jeffrey Wu, Gregory Diamos, Sercan Ö. Arık, Mostofa Patwary, Jiaji Huang and John Schulman and has published in prestigious journals such as IEEE Signal Processing Letters and International Conference on Machine Learning.

In The Last Decade

Heewoo Jun

4 papers receiving 348 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Generative Pretraining From Pixels

2020 288 citations Mark Chen, Alec Radford et al. International Conference on Machine Learning profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Heewoo Jun	250	160	63	20	19	4	366
Rewon Child	241 1.0×	218 1.4×	103 1.6×	21 1.1×	16 0.8×	4	403
Jeffrey Wu	231 0.9×	125 0.8×	23 0.4×	20 1.0×	20 1.1×	5	317
Hyun-Soo Kim	317 1.3×	106 0.7×	31 0.5×	31 1.6×	15 0.8×	3	395
Quan Wang	220 0.9×	90 0.6×	101 1.6×	15 0.8×	37 1.9×	31	315
Sara Sabour	269 1.1×	220 1.4×	30 0.5×	27 1.4×	24 1.3×	5	462
Yu-Ding Lu	319 1.3×	86 0.5×	133 2.1×	32 1.6×	12 0.6×	6	408
Chongxuan Li	174 0.7×	135 0.8×	21 0.3×	20 1.0×	13 0.7×	20	341

Countries citing papers authored by Heewoo Jun

Since Specialization

Citations

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

Fields of papers citing papers by Heewoo Jun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heewoo Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Heewoo Jun. A scholar is included among the top collaborators of Heewoo Jun 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 Heewoo Jun. Heewoo Jun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

1.

Chen, Mark, Alec Radford, Rewon Child, et al.. (2020). Generative Pretraining From Pixels. International Conference on Machine Learning. 1. 1691–1703. 288 indexed citations breakdown →

2.

Jun, Heewoo, Rewon Child, Mark Chen, et al.. (2020). Distribution Augmentation for Generative Modeling. International Conference on Machine Learning. 5006–5019. 8 indexed citations

3.

Patwary, Mostofa, Milind Chabbi, Heewoo Jun, et al.. (2019). Language Modeling at Scale. abs 1802 8021. 590–599. 3 indexed citations

4.

Arık, Sercan Ö., Heewoo Jun, & Gregory Diamos. (2018). Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks. IEEE Signal Processing Letters. 26(1). 94–98. 67 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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