Kyle Lo

6.6k total citations · 1 hit paper
45 papers, 2.5k citations indexed

About

Kyle Lo is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kyle Lo has authored 45 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 11 papers in Molecular Biology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kyle Lo's work include Topic Modeling (30 papers), Natural Language Processing Techniques (19 papers) and Biomedical Text Mining and Ontologies (11 papers). Kyle Lo is often cited by papers focused on Topic Modeling (30 papers), Natural Language Processing Techniques (19 papers) and Biomedical Text Mining and Ontologies (11 papers). Kyle Lo collaborates with scholars based in United States, Canada and Denmark. Kyle Lo's co-authors include Arman Cohan, Iz Beltagy, Lucy Lu Wang, Daniel S. Weld, Mark E Neumann, Rodney Kinney, Sergey Feldman, Madeleine van Zuylen, Oren Etzioni and Elly Trepman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Medical Informatics Association and Briefings in Bioinformatics.

In The Last Decade

Kyle Lo

37 papers receiving 2.4k 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.

SciBERT: A Pretrained Language Model for Scientific Text

2019 1.6k citations Iz Beltagy, Kyle Lo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle Lo United States	16	1.9k	624	314	174	138	45	2.5k
Arman Cohan United States	17	1.8k 1.0×	580 0.9×	279 0.9×	131 0.8×	105 0.8×	78	2.4k
Iz Beltagy United States	10	1.6k 0.8×	514 0.8×	233 0.7×	123 0.7×	89 0.6×	17	1.9k
Wonjin Yoon South Korea	6	2.9k 1.5×	1.6k 2.5×	225 0.7×	195 1.1×	149 1.1×	13	3.8k
Donghyeon Kim South Korea	8	3.0k 1.6×	1.7k 2.8×	248 0.8×	196 1.1×	139 1.0×	24	4.0k
Makoto Miwa Japan	31	3.1k 1.6×	1.6k 2.6×	328 1.0×	141 0.8×	93 0.7×	105	4.3k
Tapio Salakoski Finland	30	2.0k 1.0×	2.0k 3.2×	248 0.8×	138 0.8×	54 0.4×	166	3.8k
Buzhou Tang China	30	2.0k 1.0×	1.2k 2.0×	150 0.5×	124 0.7×	39 0.3×	127	2.7k
Hong Yu United States	32	3.2k 1.7×	1.9k 3.1×	360 1.1×	222 1.3×	105 0.8×	173	4.5k
Lawrence Cavedon Australia	23	1.3k 0.7×	282 0.5×	236 0.8×	183 1.1×	87 0.6×	103	2.0k

Countries citing papers authored by Kyle Lo

Since Specialization

Citations

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

Fields of papers citing papers by Kyle Lo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Lo

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

20 of 20 papers shown

1.

Wadden, David, Alan Li, Aakanksha Naik, et al.. (2025). SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. 6083–6120.

2.

Lucy, Li, et al.. (2024). MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula. 5644–5673. 1 indexed citations

3.

Lo, Kyle, et al.. (2024). One Thousand and One Pairs: A “novel” challenge for long-context language models. 17048–17085. 2 indexed citations

4.

Naik, Aakanksha, Pao Siangliulue, Juho Kim, et al.. (2024). ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models. 9612–9631. 1 indexed citations

5.

Soldaini, Luca, Jonathan Bragg, Kyle Lo, et al.. (2024). Accelerating Scientific Paper Skimming with Augmented Intelligence Through Customizable Faceted Highlights. ACM Transactions on Interactive Intelligent Systems. 14(4). 1–30.

6.

Trienes, Jan, Jörg Schlötterer, Christin Seifert, et al.. (2024). InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. Universitätsbibliographie, Universität Duisburg-Essen. 4263–4294.

7.

Lo, Kyle, Zejiang Shen, Benjamin J. Newman, et al.. (2023). PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents. 495–507. 2 indexed citations

8.

Shen, Zejiang, et al.. (2023). Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. 13345–13360. 2 indexed citations

9.

Soldaini, Luca, et al.. (2023). A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents. 3194–3212. 5 indexed citations

10.

Lin, Kevin, Kyle Lo, Joseph E. Gonzalez, & Dan Klein. (2023). Decomposing Complex Queries for Tip-of-the-tongue Retrieval. 5521–5533. 3 indexed citations

11.

Lo, Kyle, Chandra Bhagavatula, Bailey Kuehl, et al.. (2022). ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. 200–213. 3 indexed citations

12.

Wadden, David, Kyle Lo, Bailey Kuehl, et al.. (2022). Generating Scientific Claims for Zero-Shot Scientific Fact Checking. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2448–2460. 22 indexed citations

13.

Goodwin, Travis R., Dina Demner‐Fushman, Kyle Lo, et al.. (2022). Automatic question answering for multiple stakeholders, the epidemic question answering dataset. Scientific Data. 9(1). 432–432. 2 indexed citations

14.

Wadden, David, Kyle Lo, Lucy Lu Wang, et al.. (2022). MultiVerS: Improving scientific claim verification with weak supervision and full-document context. 61–76. 19 indexed citations

15.

Wadden, David, Kyle Lo, Bailey Kuehl, et al.. (2022). SciFact-Open: Towards open-domain scientific claim verification. 4719–4734. 14 indexed citations

16.

Dasigi, Pradeep, Kyle Lo, Iz Beltagy, et al.. (2021). A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. 4599–4610. 48 indexed citations

17.

Kang, Dongyeop, et al.. (2020). Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions. 196–206. 8 indexed citations

18.

Lo, Kyle, Lucy Lu Wang, Mark E Neumann, Rodney Kinney, & Daniel S. Weld. (2020). S2ORC: The Semantic Scholar Open Research Corpus. 4969–4983. 228 indexed citations

19.

Lo, Kyle, Lucy Lu Wang, Mark E Neumann, Rodney Kinney, & Daniel S. Weld. (2019). GORC: A large contextual citation graph of academic papers. arXiv (Cornell University). 3 indexed citations

20.

Beltagy, Iz, Kyle Lo, & Waleed Ammar. (2018). Improving Distant Supervision with Maxpooled Attention and Sentence-Level Supervision.. arXiv (Cornell University). 1 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.

Explore authors with similar magnitude of impact