William Fedus

6.5k total citations · 1 hit paper
10 papers, 747 citations indexed

About

William Fedus is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, William Fedus has authored 10 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in William Fedus's work include Natural Language Processing Techniques (3 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). William Fedus is often cited by papers focused on Natural Language Processing Techniques (3 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). William Fedus collaborates with scholars based in United States, Canada and United Kingdom. William Fedus's co-authors include Andrew M. Dai, Ian Goodfellow, Yoshua Bengio, Scott Lipnick, Kevan Shah, Lee L. Rubin, Marc Berndl, Ashkan Javaherian, D. Michael Ando and Steven Finkbeiner and has published in prestigious journals such as Cell, Apollo (University of Cambridge) and arXiv (Cornell University).

In The Last Decade

William Fedus

10 papers receiving 724 citations

Hit Papers

align trajectories

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.

In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images

2018 394 citations Eric Christiansen, Samuel Yang et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Fedus United States	8	353	255	179	147	99	10	747
Eric Christiansen United States	8	276 0.8×	298 1.2×	218 1.2×	151 1.0×	148 1.5×	11	910
Júnior Barrera Brazil	16	280 0.8×	74 0.3×	315 1.8×	329 2.2×	58 0.6×	105	989
Hua Mao China	17	340 1.0×	53 0.2×	357 2.0×	102 0.7×	114 1.2×	51	922
Alden Dima United States	10	98 0.3×	124 0.5×	68 0.4×	72 0.5×	52 0.5×	33	527
Tanel Pärnamaa Estonia	5	228 0.6×	173 0.7×	78 0.4×	599 4.1×	51 0.5×	8	1.2k
Bei Liu China	15	183 0.5×	98 0.4×	279 1.6×	68 0.5×	20 0.2×	53	794
Alexey Koloydenko United Kingdom	10	138 0.4×	404 1.6×	104 0.6×	178 1.2×	14 0.1×	27	857
Yingchun Guo China	16	167 0.5×	37 0.1×	384 2.1×	94 0.6×	105 1.1×	111	1.2k
Ce Wang China	15	134 0.4×	39 0.2×	209 1.2×	144 1.0×	24 0.2×	39	803
Jingyuan Zhang China	16	523 1.5×	37 0.1×	141 0.8×	77 0.5×	15 0.2×	81	928

Countries citing papers authored by William Fedus

Since Specialization

Citations

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

Fields of papers citing papers by William Fedus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Fedus

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Tay, Yi, Mostafa Dehghani, Samira Abnar, et al.. (2023). Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?. 12342–12364. 18 indexed citations

2.

Fedus, William, Jeff Dean, & Barret Zoph. (2022). A Review of Sparse Expert Models in Deep Learning. arXiv (Cornell University). 25 indexed citations

3.

Bello, Irwan, William Fedus, Xianzhi Du, et al.. (2021). Revisiting ResNets: Improved Training and Scaling Strategies. Neural Information Processing Systems. 34. 2 indexed citations

4.

Fedus, William, et al.. (2021). On Bonus-Based Exploration Methods in the Arcade Learning Environment. arXiv (Cornell University). 3 indexed citations

5.

Caccia, M., Lucas Caccia, William Fedus, et al.. (2020). Language GANs Falling Short. International Conference on Learning Representations. 34 indexed citations

6.

Fedus, William, Prajit Ramachandran, Rishabh Agarwal, et al.. (2020). Revisiting Fundamentals of Experience Replay. arXiv (Cornell University). 1. 3061–3071. 32 indexed citations

7.

Fedus, William, Ian Goodfellow, & Andrew M. Dai. (2018). MaskGAN: Better Text Generation via Filling in the ____. arXiv (Cornell University). 95 indexed citations

8.

Fedus, William, Mihaela Rosca, Balaji Lakshminarayanan, et al.. (2018). Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step. International Conference on Learning Representations. 26 indexed citations

9.

Christiansen, Eric, Samuel Yang, D. Michael Ando, et al.. (2018). In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images. Cell. 173(3). 792–803.e19. 394 indexed citations breakdown →

10.

Veličković, Petar, William Fedus, William L. Hamilton, et al.. (2018). Deep Graph Infomax. Apollo (University of Cambridge). 118 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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