William Yang Wang

7.7k total citations · 2 hit papers
79 papers, 1.7k citations indexed

About

William Yang Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, William Yang Wang has authored 79 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in William Yang Wang's work include Topic Modeling (50 papers), Natural Language Processing Techniques (45 papers) and Multimodal Machine Learning Applications (19 papers). William Yang Wang is often cited by papers focused on Topic Modeling (50 papers), Natural Language Processing Techniques (45 papers) and Multimodal Machine Learning Applications (19 papers). William Yang Wang collaborates with scholars based in United States, China and Singapore. William Yang Wang's co-authors include Wenhu Chen, Pengda Qin, Liwei Cai, Weiran Xu, Wenhan Xiong, Yijun Xiao, Weiran Xu, Xifeng Yan, William W. Cohen and Zhiyu Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Infectious Diseases and Optics Express.

In The Last Decade

William Yang Wang

71 papers receiving 1.6k citations

Hit Papers

Associations of semaglutide with first‐time diagnosis of ... 2024 2026 2025 2024 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Yang Wang United States 22 1.1k 223 219 153 114 79 1.7k
Staal A. Vinterbo United States 19 462 0.4× 81 0.4× 71 0.3× 126 0.8× 52 0.5× 41 1.1k
Daniel Berrar Japan 19 258 0.2× 65 0.3× 29 0.1× 87 0.6× 29 0.3× 48 866
Isra Al-Turaiki Saudi Arabia 15 314 0.3× 151 0.7× 34 0.2× 103 0.7× 12 0.1× 46 852
Francesco Gargiulo Italy 16 369 0.3× 66 0.3× 187 0.9× 100 0.7× 32 0.3× 64 935
Robert A. Bridges United States 19 299 0.3× 47 0.2× 82 0.4× 274 1.8× 46 0.4× 47 1.5k
David Page United States 23 766 0.7× 70 0.3× 77 0.4× 176 1.2× 45 0.4× 90 1.8k
Xuejun Zhang China 17 386 0.3× 82 0.4× 17 0.1× 128 0.8× 27 0.2× 118 1.1k
Yingfeng Chen China 13 186 0.2× 29 0.1× 181 0.8× 51 0.3× 17 0.1× 30 1.1k
Tatsuya Mori Japan 30 475 0.4× 53 0.2× 463 2.1× 464 3.0× 9 0.1× 222 2.6k

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
1.
Wang, William Yang, Pamela B. Davis, Xin Qi, et al.. (2025). Associations of semaglutide with Alzheimer's disease-related dementias in patients with type 2 diabetes: A real-world target trial emulation study. Journal of Alzheimer s Disease. 106(4). 1509–1522. 4 indexed citations
3.
Yang, Xianjun, Liangming Pan, Haifeng Chen, et al.. (2024). A Survey on Detection of LLMs-Generated Content. 9786–9805. 7 indexed citations
4.
Pan, Liangming, et al.. (2024). Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies. Transactions of the Association for Computational Linguistics. 12. 484–506. 24 indexed citations
5.
Swaminathan, Akshay, Susan Lee, Nicholas Macedo, et al.. (2024). Extraction of Unstructured Electronic Health Records to Evaluate Glioblastoma Treatment Patterns. JCO Clinical Cancer Informatics. 8(8). e2300091–e2300091. 1 indexed citations
6.
Ma, Xiaofei, et al.. (2023). SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. 512–525. 5 indexed citations
7.
Levy, Shařon, et al.. (2023). Foveate, Attribute, and Rationalize: Towards Physically Safe and Trustworthy AI. 11021–11036. 3 indexed citations
8.
Neill, Rachel, Michael A. Peters, Segun Bello, et al.. (2023). What made primary health care resilient against COVID-19? A mixed-methods positive deviance study in Nigeria. BMJ Global Health. 8(11). e012700–e012700. 2 indexed citations
9.
Pan, Liangming, et al.. (2023). On the Risk of Misinformation Pollution with Large Language Models. 1389–1403. 28 indexed citations
10.
McClelland, Amanda, Scott F. Dowell, Margaret E. Kruk, et al.. (2023). Multisectoral resilience for the next global health emergency. BMJ Global Health. 8(Suppl 6). e013320–e013320. 3 indexed citations
11.
Pan, Liangming, et al.. (2023). Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. 3806–3824. 33 indexed citations
12.
13.
Ramachandran, Deepak, et al.. (2022). FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. 10936–10953. 1 indexed citations
14.
Chen, Wenhu, Ming‐Wei Chang, Eva Schlinger, William Yang Wang, & William W. Cohen. (2021). Open Question Answering over Tables and Text. International Conference on Learning Representations. 49 indexed citations
15.
Chen, Wenhu, Hanwen Zha, Zhiyu Chen, et al.. (2020). HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. 1026–1036. 106 indexed citations
16.
Chen, Wenhu, et al.. (2020). TabFact: A Large-scale Dataset for Table-based Fact Verification. arXiv (Cornell University). 39 indexed citations
17.
Cai, Liwei & William Yang Wang. (2018). KBGAN: Adversarial Learning for Knowledge Graph Embeddings. 1470–1480. 149 indexed citations
18.
Wang, William Yang & Peifen Zhu. (2018). Red photoluminescent Eu3+-doped Y2O3 nanospheres for LED-phosphor applications: Synthesis and characterization. Optics Express. 26(26). 34820–34820. 33 indexed citations
19.
Yin, Qingyu, Yu Zhang, Weinan Zhang, Ting Liu, & William Yang Wang. (2018). Zero Pronoun Resolution with Attention-based Neural Network. International Conference on Computational Linguistics. 13–23. 19 indexed citations
20.
Wang, William Yang & William W. Cohen. (2016). Learning first-order logic embeddings via matrix factorization. International Joint Conference on Artificial Intelligence. 2132–2138. 25 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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