Steve Yuan

3.3k total citations · 1 hit paper
4 papers, 1.1k citations indexed

About

Steve Yuan is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Steve Yuan has authored 4 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Steve Yuan's work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Sentiment Analysis and Opinion Mining (1 paper). Steve Yuan is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Sentiment Analysis and Opinion Mining (1 paper). Steve Yuan collaborates with scholars based in United States and Switzerland. Steve Yuan's co-authors include Yinfei Yang, Ray Kurzweil, Daniel Cer, Brian Strope, Noah Constant, Chris Tar, Sheng-yi Kong, Nan Hua, Yun-Hsuan Sung and Mandy Guo and has published in prestigious journals such as .

In The Last Decade

Steve Yuan

4 papers receiving 992 citations

Hit Papers

Universal Sentence Encoder for English 2018 2026 2020 2023 2018 200 400 600

Peers

Steve Yuan
Chris Tar United States
Swabha Swayamdipta United States
Udo Kruschwitz United Kingdom
Roy Ka-Wei Lee Singapore
Ayu Purwarianti Indonesia
Chris Tar United States
Steve Yuan
Citations per year, relative to Steve Yuan Steve Yuan (= 1×) peers Chris Tar

Countries citing papers authored by Steve Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Steve Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Yuan

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

All Works

4 of 4 papers shown
1.
Yang, Yinfei, Daniel Cer, Amin Ahmad, et al.. (2020). Multilingual Universal Sentence Encoder for Semantic Retrieval. 87–94. 228 indexed citations
2.
Yang, Yinfei, Gustavo Hernández Ábrego, Steve Yuan, et al.. (2019). Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax. 5370–5378. 49 indexed citations
3.
Cer, Daniel, Yinfei Yang, Sheng-yi Kong, et al.. (2018). Universal Sentence Encoder for English. 169–174. 705 indexed citations breakdown →
4.
Yang, Yinfei, Steve Yuan, Daniel Cer, et al.. (2018). Learning Semantic Textual Similarity from Conversations. 164–174. 86 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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