Leonard Tang

408 total citations
5 papers, 151 citations indexed

About

Leonard Tang is a scholar working on Artificial Intelligence, Political Science and International Relations and Strategy and Management. According to data from OpenAlex, Leonard Tang has authored 5 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Political Science and International Relations and 1 paper in Strategy and Management. Recurrent topics in Leonard Tang's work include Explainable Artificial Intelligence (XAI) (2 papers), Topic Modeling (2 papers) and Law, AI, and Intellectual Property (1 paper). Leonard Tang is often cited by papers focused on Explainable Artificial Intelligence (XAI) (2 papers), Topic Modeling (2 papers) and Law, AI, and Intellectual Property (1 paper). Leonard Tang collaborates with scholars based in United States, Switzerland and Canada. Leonard Tang's co-authors include Dan Hendrycks, Bo Li, Dawn Song, Mantas Mazeika, Andy Zou, Jacob Steinhardt, Nakul Verma, Taylor L. Patti, Kevin Liu and Nikhil Singh and has published in prestigious journals such as Proceedings of the National Academy of Sciences and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Leonard Tang

5 papers receiving 143 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leonard Tang United States	5	106	36	19	15	9	5	151
Daniel Hesslow France	2	139 1.3×	24 0.7×	5 0.3×	13 0.9×	23 2.6×	4	194
Christopher Akiki Germany	4	133 1.3×	21 0.6×	6 0.3×	14 0.9×	25 2.8×	10	201
Amirsina Torfi United States	4	98 0.9×	57 1.6×	6 0.3×	10 0.7×	13 1.4×	8	169
Jayson Lynch United States	4	62 0.6×	9 0.3×	15 0.8×	12 0.8×	5 0.6×	27	114
Prashan Madumal Australia	4	155 1.5×	16 0.4×	5 0.3×	7 0.5×	14 1.6×	7	186
Roberta Răileanu Israel	4	76 0.7×	20 0.6×	3 0.2×	6 0.4×	8 0.9×	11	114
Prachi Jain India	7	156 1.5×	34 0.9×	3 0.2×	17 1.1×	7 0.8×	28	220
Xueliang Zhao China	7	176 1.7×	35 1.0×	7 0.4×	9 0.6×	4 0.4×	11	201
Tameem Adel United Kingdom	8	146 1.4×	76 2.1×	3 0.2×	4 0.3×	9 1.0×	16	192
A Prathik India	5	73 0.7×	21 0.6×	7 0.4×	28 1.9×	3 0.3×	7	172

Countries citing papers authored by Leonard Tang

Since Specialization

Citations

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

Fields of papers citing papers by Leonard Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard Tang

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Drori, Iddo, et al.. (2023). From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams. 3947–3955. 5 indexed citations

2.

Wang, Steven, et al.. (2023). MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding. 16369–16382. 5 indexed citations

3.

Mishra, Swaroop, Matthew Finlayson, Pan Lu, et al.. (2022). LILA: A Unified Benchmark for Mathematical Reasoning. 5807–5832. 25 indexed citations

4.

Drori, Iddo, Sarah Zhang, Leonard Tang, et al.. (2022). A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level. Proceedings of the National Academy of Sciences. 119(32). e2123433119–e2123433119. 68 indexed citations

5.

Hendrycks, Dan, Andy Zou, Mantas Mazeika, et al.. (2022). PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16762–16771. 48 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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