Daniel Le

845 total citations
49 papers, 467 citations indexed

About

Daniel Le is a scholar working on Artificial Intelligence, Molecular Biology and Mathematical Physics. According to data from OpenAlex, Daniel Le has authored 49 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Molecular Biology and 12 papers in Mathematical Physics. Recurrent topics in Daniel Le's work include Algebraic Geometry and Number Theory (12 papers), Advanced Algebra and Geometry (11 papers) and Topic Modeling (11 papers). Daniel Le is often cited by papers focused on Algebraic Geometry and Number Theory (12 papers), Advanced Algebra and Geometry (11 papers) and Topic Modeling (11 papers). Daniel Le collaborates with scholars based in United States, France and Canada. Daniel Le's co-authors include George R. Thoma, Jie Zou, Jong Woo Kim, Yanfang Ye, Hieu Tran, Harry Wechsler, Laurence S. Baskin, Ursula E. Lang, Spyros Darmanis and Brian K. Lohman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Le

45 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Le United States 11 152 138 103 72 52 49 467
Shin-ichi Nakano Japan 13 53 0.3× 106 0.8× 17 0.2× 76 1.1× 2 0.0× 66 595
Grace S. Shieh Taiwan 14 103 0.7× 251 1.8× 19 0.2× 9 0.1× 7 0.1× 40 495
Yue-Li Wang Taiwan 14 43 0.3× 113 0.8× 9 0.1× 48 0.7× 4 0.1× 99 928
Akira Tanaka Japan 9 172 1.1× 93 0.7× 51 0.5× 61 0.8× 1 0.0× 48 650
Hsueh-I Lu Taiwan 13 107 0.7× 37 0.3× 12 0.1× 44 0.6× 6 0.1× 31 390
Chunyan Liu China 12 77 0.5× 143 1.0× 134 1.3× 31 0.4× 2 0.0× 64 549
Khalid Al-Kofahi United States 11 153 1.0× 84 0.6× 51 0.5× 112 1.6× 19 548
Klaus Voß Germany 9 54 0.4× 149 1.1× 30 0.3× 97 1.3× 4 0.1× 28 410
Sean A. Irvine United Kingdom 7 105 0.7× 268 1.9× 44 0.4× 70 1.0× 4 0.1× 13 539

Countries citing papers authored by Daniel Le

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Le

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

All Works

20 of 20 papers shown
1.
Le, Daniel, et al.. (2024). Extremal weights and a tameness criterion for mod $p$ Galois representations. Journal of the European Mathematical Society. 28(6). 2473–2548.
2.
Byrne, Ashley, Daniel Le, Spyros Darmanis, et al.. (2024). Coordinated wound responses in a regenerative animal-algal holobiont. Nature Communications. 15(1). 4032–4032. 2 indexed citations
3.
Romei, Matthew G., Brandon Leonard, Zachary Katz, et al.. (2024). i-shaped antibody engineering enables conformational tuning of biotherapeutic receptor agonists. Nature Communications. 15(1). 642–642. 11 indexed citations
4.
Kabza, Michał, et al.. (2024). Accurate long-read transcript discovery and quantification at single-cell, pseudo-bulk and bulk resolution with Isosceles. Nature Communications. 15(1). 7316–7316. 7 indexed citations
5.
Byrne, Ashley, Daniel Le, Hari Menon, et al.. (2024). Single-cell long-read targeted sequencing reveals transcriptional variation in ovarian cancer. Nature Communications. 15(1). 6916–6916. 10 indexed citations
6.
Le, Daniel, et al.. (2024). Serre weights for three-dimensional wildly ramified Galois representations. Algebra & Number Theory. 18(7). 1221–1274.
7.
Ghate, Eknath, et al.. (2023). Non-admissible irreducible representations of 𝑝-adic 𝐺𝐿_{𝑛} in characteristic 𝑝. Representation Theory of the American Mathematical Society. 27(29). 1088–1101.
8.
Le, Daniel, et al.. (2021). Diagrams in the mod p cohomology of Shimura curves. Compositio Mathematica. 157(8). 1653–1723. 7 indexed citations
9.
Belote, R.L., Daniel Le, Ashley Maynard, et al.. (2021). Human melanocyte development and melanoma dedifferentiation at single-cell resolution. Nature Cell Biology. 23(9). 1035–1047. 69 indexed citations
10.
Le, Daniel. (2019). On some nonadmissible smooth irreducible representations for $\mathrm{GL}_2$. Mathematical Research Letters. 26(6). 1747–1758. 7 indexed citations
11.
Le, Daniel, et al.. (2017). On mod local-global compatibility for in the ordinary case. Compositio Mathematica. 153(11). 2215–2286. 8 indexed citations
12.
Zhang, Xiaoli, Jie Zou, Daniel Le, & George R. Thoma. (2011). A structural SVM approach for reference parsing. BMC Bioinformatics. 12(S3). S7–S7. 14 indexed citations
14.
Zhang, Xiaoli, Jie Zou, Daniel Le, & George R. Thoma. (2010). A Structural SVM Approach for Reference Parsing. 479–484. 5 indexed citations
15.
Zou, Jie, Daniel Le, & George R. Thoma. (2010). Locating and parsing bibliographic references in HTML medical articles. International Journal on Document Analysis and Recognition (IJDAR). 13(2). 107–119. 20 indexed citations
16.
Zhang, Xiaoli, Jie Zou, Daniel Le, & George R. Thoma. (2010). Investigator name recognition from medical journal articles. 121–128. 1 indexed citations
17.
Kim, Jong Woo, Daniel Le, & George R. Thoma. (2008). Naive Bayes Classifier for Extracting Bibliographic Information from Biomedical Online Articles.. 373–378. 8 indexed citations
18.
Zhang, Xiaoli, et al.. (2008). A semi-supervised learning method to classify grant support zone in web-based medical articles. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7247. 72470W–72470W. 4 indexed citations
19.
Kim, Jong Woo, Daniel Le, & George R. Thoma. (2000). <title>Automated labeling in document images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4307. 111–122. 26 indexed citations
20.
Le, Daniel & George R. Thoma. (1993). <title>Automated portrait/landscape mode detection on a binary image</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1961. 202–212. 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.

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