Peter J. Liu

14.2k total citations · 1 hit paper
4 papers, 2.1k citations indexed

About

Peter J. Liu is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Peter J. Liu has authored 4 papers receiving a total of 2.1k 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 Peter J. Liu's work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Advanced Text Analysis Techniques (2 papers). Peter J. Liu is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Advanced Text Analysis Techniques (2 papers). Peter J. Liu collaborates with scholars based in United States. Peter J. Liu's co-authors include Abigail See, Christopher D. Manning, Eric Chu, William J. Murdoch and Bin Yu and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Peter J. Liu

4 papers receiving 2.0k citations

Hit Papers

Get To The Point: Summarization with Pointer-Generator Ne... 2017 2026 2020 2023 2017 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter J. Liu United States 4 2.0k 366 268 82 45 4 2.1k
Abigail See United States 4 2.1k 1.0× 380 1.0× 274 1.0× 79 1.0× 51 1.1× 5 2.2k
Zhiguo Wang United States 20 1.5k 0.7× 375 1.0× 260 1.0× 78 1.0× 52 1.2× 43 1.6k
Radu Florian United States 21 1.6k 0.8× 179 0.5× 245 0.9× 88 1.1× 100 2.2× 72 1.7k
Nicholas Kolkin United States 4 630 0.3× 139 0.4× 183 0.7× 45 0.5× 29 0.6× 4 822
Patrick Lewis United Kingdom 8 1.2k 0.6× 356 1.0× 122 0.5× 100 1.2× 60 1.3× 17 1.3k
Ulf Hermjakob United States 19 1.8k 0.9× 192 0.5× 262 1.0× 146 1.8× 28 0.6× 34 1.8k
Chenyan Xiong United States 20 1.5k 0.8× 358 1.0× 528 2.0× 60 0.7× 170 3.8× 66 1.7k
Illia Polosukhin United States 5 1.1k 0.5× 408 1.1× 172 0.6× 26 0.3× 35 0.8× 7 1.1k
Lev Ratinov United States 8 1.3k 0.6× 131 0.4× 182 0.7× 133 1.6× 152 3.4× 11 1.4k
Anthony Fader United States 8 1.4k 0.7× 184 0.5× 351 1.3× 150 1.8× 154 3.4× 12 1.6k

Countries citing papers authored by Peter J. Liu

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Liu. 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 Peter J. Liu. The network helps show where Peter J. Liu may publish in the future.

Co-authorship network of co-authors of Peter J. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Liu. A scholar is included among the top collaborators of Peter J. Liu 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 Peter J. Liu. Peter J. Liu 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.
Chu, Eric & Peter J. Liu. (2019). MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization. 1223–1232. 35 indexed citations
2.
Murdoch, William J., Peter J. Liu, & Bin Yu. (2018). Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs. arXiv (Cornell University). 32 indexed citations
3.
Chu, Eric & Peter J. Liu. (2018). Unsupervised Neural Multi-document Abstractive Summarization. arXiv (Cornell University). 5 indexed citations
4.
See, Abigail, Peter J. Liu, & Christopher D. Manning. (2017). Get To The Point: Summarization with Pointer-Generator Networks. 1073–1083. 2056 indexed citations breakdown →

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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