Hunter Lang

517 total citations · 1 hit paper
6 papers, 150 citations indexed

About

Hunter Lang is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Hunter Lang has authored 6 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Management Science and Operations Research. Recurrent topics in Hunter Lang's work include Natural Language Processing Techniques (2 papers), Stochastic Gradient Optimization Techniques (1 paper) and Neural Networks and Applications (1 paper). Hunter Lang is often cited by papers focused on Natural Language Processing Techniques (2 papers), Stochastic Gradient Optimization Techniques (1 paper) and Neural Networks and Applications (1 paper). Hunter Lang collaborates with scholars based in United States, United Kingdom and Germany. Hunter Lang's co-authors include Yoon Kim, David Sontag, Stefan Hegselmann, Monica Agrawal, Hoifung Poon, Zejiang Shen, Pengchuan Zhang, Lin Xiao, Bailin Wang and Aravindan Vijayaraghavan and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Hunter Lang

4 papers receiving 141 citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Large language models are few-shot clinical information extractors

2022 142 citations Monica Agrawal, Stefan Hegselmann et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hunter Lang United States	3	113	35	18	16	14	6	150
Stefan Hegselmann Germany	6	132 1.2×	53 1.5×	29 1.6×	43 2.7×	29 2.1×	18	233
Guangzhi Xiong United States	4	108 1.0×	34 1.0×	6 0.3×	41 2.6×	13 0.9×	7	161
Valentin Liévin Denmark	4	93 0.8×	55 1.6×	24 1.3×	12 0.8×	6 0.4×	6	162
Jennifer J. Liang United States	9	190 1.7×	39 1.1×	17 0.9×	96 6.0×	41 2.9×	14	250
Shahid Munir Shah Pakistan	6	157 1.4×	19 0.5×	84 4.7×	24 1.5×	32 2.3×	14	224
Nassim Oufattole United States	1	139 1.2×	88 2.5×	31 1.7×	35 2.2×	12 0.9×	2	205
Eileen Pan United States	3	140 1.2×	90 2.6×	32 1.8×	35 2.2×	12 0.9×	3	210
Raul Puri United States	4	117 1.0×	15 0.4×	7 0.4×	30 1.9×	4 0.3×	4	151
Natalie Dullerud United States	4	69 0.6×	15 0.4×	13 0.7×	4 0.3×	3 0.2×	7	90
Kathi Canese United States	3	71 0.6×	11 0.3×	5 0.3×	87 5.4×	5 0.4×	3	155

Countries citing papers authored by Hunter Lang

Since Specialization

Citations

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

Fields of papers citing papers by Hunter Lang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hunter Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Hunter Lang. A scholar is included among the top collaborators of Hunter Lang 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 Hunter Lang. Hunter Lang 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:

6 of 6 papers shown

1.

Shen, Zejiang, Hunter Lang, Bailin Wang, Yoon Kim, & David Sontag. (2024). Learning to Decode Collaboratively with Multiple Language Models. 12974–12990. 3 indexed citations

2.

Lang, Hunter, David Sontag, & Aravindan Vijayaraghavan. (2024). Theoretical Analysis of Weak-to-Strong Generalization. 46837–46880.

3.

Agrawal, Monica, Stefan Hegselmann, Hunter Lang, Yoon Kim, & David Sontag. (2022). Large language models are few-shot clinical information extractors. 1998–2022. 142 indexed citations breakdown →

4.

Lang, Hunter & Hoifung Poon. (2021). Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic. Proceedings of the AAAI Conference on Artificial Intelligence. 35(6). 4978–4986. 3 indexed citations

5.

Lang, Hunter, Pengchuan Zhang, & Lin Xiao. (2019). Using Statistics to Automate Stochastic Optimization. arXiv (Cornell University). 32. 9536–9546. 2 indexed citations

6.

Lang, Hunter, David Sontag, & Aravindan Vijayaraghavan. (2018). Block Stability for MAP Inference. arXiv (Cornell University). 216–225.

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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