Kensen Shi

2.4k total citations
7 papers, 171 citations indexed

About

Kensen Shi is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kensen Shi has authored 7 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kensen Shi's work include Software Engineering Research (2 papers), Robotics and Sensor-Based Localization (2 papers) and Natural Language Processing Techniques (2 papers). Kensen Shi is often cited by papers focused on Software Engineering Research (2 papers), Robotics and Sensor-Based Localization (2 papers) and Natural Language Processing Techniques (2 papers). Kensen Shi collaborates with scholars based in United States. Kensen Shi's co-authors include Aditya Kanade, Gogul Balakrishnan, Petros Maniatis, Nancy M. Amato, Jory Denny, Michele Catasta, Pengcheng Yin, Yeming Wen, Henryk Michalewski and Kefan Xiao and has published in prestigious journals such as King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology), arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Kensen Shi

7 papers receiving 166 citations

Peers

Kensen Shi
Ryan W. Gardner United States
Noury Bouraqadi France
Richard Shin United States
Allan Tomlinson United Kingdom
Yangruibo Ding United States
Yong Ho Hwang South Korea
Nashwa Abdelbaki Egypt
Michael Le United States
Victor Heorhiadi United States
Naipeng Dong Australia
Ryan W. Gardner United States
Kensen Shi
Citations per year, relative to Kensen Shi Kensen Shi (= 1×) peers Ryan W. Gardner

Countries citing papers authored by Kensen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Kensen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kensen Shi

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

All Works

7 of 7 papers shown
1.
Shi, Kensen, Saswat Anand, Mihai Christodorescu, et al.. (2025). Natural Language Outlines for Code: Literate Programming in the LLM Era. 150–161. 1 indexed citations
2.
Yin, Pengcheng, Kefan Xiao, Abhishek S. Rao, et al.. (2023). Natural Language to Code Generation in Interactive Data Science Notebooks. 126–173. 7 indexed citations
3.
Shi, Kensen, et al.. (2020). Incremental Sampling Without Replacement for Sequence Models. International Conference on Machine Learning. 1. 8785–8795. 2 indexed citations
4.
Kanade, Aditya, Petros Maniatis, Gogul Balakrishnan, & Kensen Shi. (2019). Pre-trained Contextual Embedding of Source Code. arXiv (Cornell University). 24 indexed citations
5.
Kanade, Aditya, Petros Maniatis, Gogul Balakrishnan, & Kensen Shi. (2019). Learning and Evaluating Contextual Embedding of Source Code. arXiv (Cornell University). 1. 5110–5121. 92 indexed citations
6.
Shi, Kensen, Jory Denny, & Nancy M. Amato. (2014). Spark PRM: Using RRTs within PRMs to efficiently explore narrow passages. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 4659–4666. 24 indexed citations
7.
Denny, Jory, Kensen Shi, & Nancy M. Amato. (2013). Lazy Toggle PRM: A single-query approach to motion planning. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 2407–2414. 21 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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2026