William Yang Wang

18.1k total citations · 1 hit paper
352 papers, 8.7k citations indexed

About

William Yang Wang is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, William Yang Wang has authored 352 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Artificial Intelligence, 48 papers in Cognitive Neuroscience and 46 papers in Experimental and Cognitive Psychology. Recurrent topics in William Yang Wang's work include Natural Language Processing Techniques (54 papers), Topic Modeling (49 papers) and Multimodal Machine Learning Applications (34 papers). William Yang Wang is often cited by papers focused on Natural Language Processing Techniques (54 papers), Topic Modeling (49 papers) and Multimodal Machine Learning Applications (34 papers). William Yang Wang collaborates with scholars based in United States, Hong Kong and China. William Yang Wang's co-authors include James W. Minett, Ovid J. L. Tzeng, Gang Peng, Liang‐Shih Fan, Liang Zeng, Diyi Yang, Siwei Luo, Elizabeth Belding, Xin Wang and Matthew Y. Chen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

William Yang Wang

324 papers receiving 7.9k citations

Hit Papers

Reinforced Cross-Modal Matching and Self-Supervised Imita... 2019 2026 2021 2023 2019 100 200 300

Peers

William Yang Wang
Comparison fields: 5 of 215
  • Artificial Intelligence 3.1k
  • Experimental and Cognitive Psychology 1.9k
  • Cognitive Neuroscience 1.4k
  • Computer Vision and Pattern Recognition 1.3k
  • Linguistics and Language 870
Replace Julia Hirschberg with:
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Ping Li China
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Citations per field, relative to William Yang Wang
William Yang Wang · 1×
Citations per year, relative to William Yang Wang
William Yang Wang · 1×

Countries citing papers authored by William Yang Wang

Since Specialization
Citations

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

Fields of papers citing papers by William Yang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Yang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of William Yang Wang. A scholar is included among the top collaborators of William Yang Wang 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 Yang Wang. William Yang Wang 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
# Work Indexed citations
1 0
2 0
3 2
4 4
5 2
6
The Truth is Out There: Investigating Conspiracy Theories in Text Generation.
2
7 15
8 15
9 1
10 3
11 3
12 270
13 25
14 6
15 4
16 2
17 4
18 30
19 10
20 143

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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