Peng Qi

59 total papers · 1.4k total citations
31 papers, 675 citations indexed

About

Peng Qi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Peng Qi has authored 31 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Peng Qi's work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Text Readability and Simplification (3 papers). Peng Qi is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Text Readability and Simplification (3 papers). Peng Qi collaborates with scholars based in China, United States and Australia. Peng Qi's co-authors include Christopher D. Manning, Timothy Dozat, Bowen Zhou, Yuhao Zhang, Bo Liu, Jinfeng Yi, Shuai Di, Jingen Liu, Bo Li and Yuhui Zhang and has published in prestigious journals such as ACM Computing Surveys, Separation and Purification Technology and Neural Computation.

In The Last Decade

Peng Qi

26 papers receiving 622 citations

Hit Papers

Trustworthy AI: From Prin... 2022 2026 2023 2024 2022 50 100 150 200
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Trustworthy AI: From Principles to Practices
    2022 229 citations Bo Li, Peng Qi et al. ACM Computing Surveys profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peng Qi 479 90 62 55 51 31 675
Emily Reif 446 0.9× 108 1.2× 69 1.1× 36 0.7× 87 1.7× 16 775
Tarek R. Besold 447 0.9× 61 0.7× 56 0.9× 30 0.5× 54 1.1× 42 656
Richard Tomsett 262 0.5× 36 0.4× 73 1.2× 68 1.2× 49 1.0× 17 608
Weixin Liang 347 0.7× 88 1.0× 60 1.0× 31 0.6× 187 3.7× 20 745
Nenad Tomašev 378 0.8× 128 1.4× 18 0.3× 37 0.7× 24 0.5× 31 641
Francesco Locatello 414 0.9× 164 1.8× 23 0.4× 40 0.7× 18 0.4× 24 681
Eduardo Mosqueira-Rey 233 0.5× 57 0.6× 31 0.5× 15 0.3× 58 1.1× 31 638
Ning Xie 266 0.6× 102 1.1× 13 0.2× 29 0.5× 19 0.4× 20 580
Stefano Bromuri 251 0.5× 122 1.4× 21 0.3× 45 0.8× 11 0.2× 54 555
Heyam H. Al-Baity 256 0.5× 141 1.6× 16 0.3× 44 0.8× 21 0.4× 30 692

Countries citing papers authored by Peng Qi

Since Specialization
Citations

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

Fields of papers citing papers by Peng Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Qi

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

All Works

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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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2026