William Chan

3.8k total citations · 1 hit paper
28 papers, 1.7k citations indexed

About

William Chan is a scholar working on Geometry and Topology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, William Chan has authored 28 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Geometry and Topology, 11 papers in Artificial Intelligence and 10 papers in Signal Processing. Recurrent topics in William Chan's work include Advanced Topology and Set Theory (14 papers), Speech Recognition and Synthesis (8 papers) and Music and Audio Processing (7 papers). William Chan is often cited by papers focused on Advanced Topology and Set Theory (14 papers), Speech Recognition and Synthesis (8 papers) and Music and Audio Processing (7 papers). William Chan collaborates with scholars based in United States, Austria and Israel. William Chan's co-authors include Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Yu Zhang, Takaaki Hori, Shinji Watanabe, Ian Lane, Le T. Nguyen, Wei Peng and Pang Wu and has published in prestigious journals such as Transactions of the American Mathematical Society, Advances in Mathematics and Proceedings of the American Mathematical Society.

In The Last Decade

William Chan

24 papers receiving 1.5k citations

Hit Papers

Listen, attend and spell: A neural network for large voca... 2016 2026 2019 2022 2016 400 800 1.2k
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.

  1. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition
    2016 1.3k citations William Chan, Navdeep Jaitly et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Chan United States 8 1.5k 931 176 68 51 28 1.7k
Antonio J. Rubio Spain 18 870 0.6× 951 1.0× 343 1.9× 36 0.5× 98 1.9× 87 1.5k
Brian Mak Hong Kong 19 1.1k 0.7× 1.0k 1.1× 261 1.5× 140 2.1× 34 0.7× 115 1.6k
Kanishka Rao India 17 1.6k 1.1× 967 1.0× 278 1.6× 86 1.3× 50 1.0× 53 1.9k
Dimitri Kanevsky United States 15 757 0.5× 611 0.7× 139 0.8× 21 0.3× 58 1.1× 59 1.0k
Xiaodong Cui United States 21 1.2k 0.8× 824 0.9× 238 1.4× 125 1.8× 123 2.4× 92 1.6k
Hagen Soltau United States 23 2.2k 1.5× 1.6k 1.7× 318 1.8× 101 1.5× 67 1.3× 64 2.7k
Jui-Ting Huang United States 9 985 0.7× 650 0.7× 281 1.6× 54 0.8× 120 2.4× 18 1.4k
Anmol Gulati United States 9 1.6k 1.1× 1.1k 1.2× 272 1.5× 96 1.4× 65 1.3× 16 2.1k
Khe Chai Sim Singapore 21 1.6k 1.1× 1.2k 1.2× 157 0.9× 50 0.7× 33 0.6× 111 1.8k
D. Nahamoo United States 22 1.6k 1.1× 1.3k 1.4× 300 1.7× 52 0.8× 30 0.6× 84 1.9k

Countries citing papers authored by William Chan

Since Specialization
Citations

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

Fields of papers citing papers by William Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Chan

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

All Works

20 of 20 papers shown
1.
Chan, William, et al.. (2024). Almost Everywhere Behavior of Functions According to Partition Measures. Forum of Mathematics Sigma. 12.
2.
Chan, William, et al.. (2023). Almost disjoint families under determinacy. Advances in Mathematics. 437. 109410–109410. 1 indexed citations
3.
Chan, William, et al.. (2022). More definable combinatorics around the first and second uncountable cardinals. Journal of Mathematical Logic. 23(3). 1 indexed citations
4.
Chan, William & Menachem Magidor. (2021). When a relation with all Borel sections will be Borel somewhere?. Proceedings of the American Mathematical Society. 150(2). 833–847.
5.
Chan, William, et al.. (2021). Cardinality of wellordered disjoint unions of quotients of smooth equivalence relations. Annals of Pure and Applied Logic. 172(8). 102988–102988. 1 indexed citations
6.
Chan, William, et al.. (2021). The destruction of the axiom of determinacy by forcings on ℝ when Θ Is regular. Israel Journal of Mathematics. 241(1). 119–138. 1 indexed citations
7.
Chan, William & Ruiyuan Chen. (2020). Bounds on continuous Scott rank. Proceedings of the American Mathematical Society. 148(8). 3591–3605. 1 indexed citations
8.
Chan, William, et al.. (2020). Definable combinatorics at the first uncountable cardinal. Transactions of the American Mathematical Society. 374(3). 2035–2056. 4 indexed citations
9.
Chan, William, et al.. (2019). L(R) with determinacy satisfies the Suslin hypothesis. Advances in Mathematics. 346. 305–328. 4 indexed citations
10.
Chan, William. (2019). Ordinal definability and combinatorics of equivalence relations. Journal of Mathematical Logic. 19(2). 1950009–1950009. 6 indexed citations
11.
Hori, Takaaki, Shinji Watanabe, Yu Zhang, & William Chan. (2017). Advances in Joint CTC-Attention Based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM. 949–953. 177 indexed citations
12.
Chan, William, Navdeep Jaitly, Quoc V. Le, & Oriol Vinyals. (2016). Listen, attend and spell: A neural network for large vocabulary conversational speech recognition. 4960–4964. 1327 indexed citations breakdown →
13.
Chan, William. (2016). The countable admissible ordinal equivalence relation. Annals of Pure and Applied Logic. 168(6). 1224–1246. 1 indexed citations
14.
Chan, William, et al.. (2016). Speaker-Targeted Audio-Visual Models for Speech Recognition in Cocktail-Party Environments. 2120–2124. 5 indexed citations
15.
Chan, William, Yu Zhang, Quoc V. Le, & Navdeep Jaitly. (2016). Latent Sequence Decompositions. arXiv (Cornell University). 16 indexed citations
16.
Chan, William & Ian Lane. (2016). On Online Attention-Based Speech Recognition and Joint Mandarin Character-Pinyin Training. 3404–3408. 35 indexed citations
17.
Chan, William, Nan Rosemary Ke, & Ian Lane. (2015). Transferring knowledge from a RNN to a DNN. 3264–3268. 18 indexed citations
18.
Chan, William & Ian Lane. (2015). Deep convolutional neural networks for acoustic modeling in low resource languages. 2056–2060. 24 indexed citations
19.
Chan, William & Ian Lane. (2014). Distributed asynchronous optimization of convolutional neural networks. 7 indexed citations
20.
Chan, William. (2000). Temporal-Locig Queries. 450–463. 16 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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