Dayi Li

1.4k total citations · 3 hit papers
20 papers, 956 citations indexed

About

Dayi Li is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Dayi Li has authored 20 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Astronomy and Astrophysics, 4 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Dayi Li's work include Galaxies: Formation, Evolution, Phenomena (4 papers), Stellar, planetary, and galactic studies (3 papers) and Astronomy and Astrophysical Research (3 papers). Dayi Li is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (4 papers), Stellar, planetary, and galactic studies (3 papers) and Astronomy and Astrophysical Research (3 papers). Dayi Li collaborates with scholars based in China, United States and Canada. Dayi Li's co-authors include Dan R. Littman, Lina Kroehling, Henry H. Nguyen, Jhimmy Talbot, Paul Hahn, Hernandez Moura Silva, Lin Wu, Ephraim Kenigsberg, Ashley M. Hine and David Hudesman and has published in prestigious journals such as Nature, Cell and Molecular Cell.

In The Last Decade

Dayi Li

15 papers receiving 940 citations

Hit Papers

Serum Amyloid A Proteins Induce Pathogenic Th17 Cells and... 2019 2026 2021 2023 2019 2020 2023 100 200 300
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.

  1. Serum Amyloid A Proteins Induce Pathogenic Th17 Cells and Promote Inflammatory Disease
    2019 335 citations June‐Yong Lee, Jason A. Hall et al. Cell profile →
  2. Feeding-dependent VIP neuron–ILC3 circuit regulates the intestinal barrier
    2020 243 citations Jhimmy Talbot, Paul Hahn et al. Nature profile →
  3. Lactate activates the mitochondrial electron transport chain independently of its metabolism
    2023 107 citations Xin Cai, Charles Ng et al. Molecular Cell profile →

Peers

Dayi Li
Rei Kawashima Japan
Alexandra L. Garnham Australia
Kyathanahalli S. Janardhan United States
Hideo Tsukamoto Japan
Dae Yong Kim South Korea
Giovanna Mottola France
Michele Fuortes United States
Jessica G. Moreland United States
Linda Andersson Sweden
Avijit Ray United States
Rei Kawashima Japan
Dayi Li
Citations per year, relative to Dayi Li Dayi Li (= 1×) peers Rei Kawashima

Countries citing papers authored by Dayi Li

Since Specialization
Citations

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

Fields of papers citing papers by Dayi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dayi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dayi Li. A scholar is included among the top collaborators of Dayi Li 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 Dayi Li. Dayi Li 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.
Li, Dayi, Gwendolyn M. Eadie, Patrick Brown, et al.. (2025). Discovery of Two Ultra-diffuse Galaxies with Unusually Bright Globular Cluster Luminosity Functions via a Mark-dependently Thinned Point Process (MATHPOP). The Astrophysical Journal. 984(2). 147–147. 3 indexed citations
2.
Li, Dayi, Qing Liu, Gwendolyn M. Eadie, et al.. (2025). Candidate Dark Galaxy-2: Validation and Analysis of an Almost Dark Galaxy in the Perseus Cluster. The Astrophysical Journal Letters. 986(2). L18–L18.
3.
Li, Dayi, et al.. (2025). Poisson cluster process models for detecting ultra-diffuse galaxies. The Annals of Applied Statistics. 19(1). 2 indexed citations
4.
Dokkum, Pieter van, Dayi Li, Roberto Abraham, et al.. (2024). Deep HST/UVIS Imaging of the Candidate Dark Galaxy CDG-1. Research Notes of the AAS. 8(5). 135–135. 3 indexed citations
5.
Li, Dayi, Jingchun Zhou, Shiyin Wang, et al.. (2023). Adaptive weighted multiscale retinex for underwater image enhancement. Engineering Applications of Artificial Intelligence. 123. 106457–106457. 28 indexed citations
6.
Cai, Xin, Charles Ng, Tak Shun Fung, et al.. (2023). Lactate activates the mitochondrial electron transport chain independently of its metabolism. Molecular Cell. 83(21). 3904–3920.e7. 107 indexed citations breakdown →
7.
Li, Dayi, Gwendolyn M. Eadie, Roberto Abraham, et al.. (2022). Light from the Darkness: Detecting Ultra-diffuse Galaxies in the Perseus Cluster through Over-densities of Globular Clusters with a Log-Gaussian Cox Process. The Astrophysical Journal. 935(1). 3–3. 5 indexed citations
8.
9.
Zhu, Jin, et al.. (2021). Plasmonic gap resonances of electrically excited MIS-AgNR hybrid system. Optics Communications. 506. 127601–127601. 2 indexed citations
10.
11.
Talbot, Jhimmy, Paul Hahn, Lina Kroehling, et al.. (2020). Feeding-dependent VIP neuron–ILC3 circuit regulates the intestinal barrier. Nature. 579(7800). 575–580. 243 indexed citations breakdown →
12.
Wu, Lin, Kate E.R. Hollinshead, Yuhan Hao, et al.. (2020). Niche-Selective Inhibition of Pathogenic Th17 Cells by Targeting Metabolic Redundancy. Cell. 182(3). 641–654.e20. 83 indexed citations
13.
Lee, June‐Yong, Jason A. Hall, Lina Kroehling, et al.. (2020). Serum Amyloid A Proteins Induce Pathogenic Th17 Cells and Promote Inflammatory Disease. Cell. 183(7). 2036–2039. 69 indexed citations
14.
Li, Dayi & P. Barmby. (2020). Gibbs point process model for young star clusters in M33. Monthly Notices of the Royal Astronomical Society. 501(3). 3472–3489. 3 indexed citations
15.
Li, Dayi, et al.. (2019). Full-length RNA profiling reveals pervasive bidirectional transcription terminators in bacteria. Nature Microbiology. 4(11). 1907–1918. 65 indexed citations
16.
Lee, June‐Yong, Jason A. Hall, Lina Kroehling, et al.. (2019). Serum Amyloid A Proteins Induce Pathogenic Th17 Cells and Promote Inflammatory Disease. Cell. 180(1). 79–91.e16. 335 indexed citations breakdown →
17.
Lan, Lan, et al.. (2004). Identifying contributions of individual layers constituting multilayer dielectric mirrors. Optics & Laser Technology. 37(3). 211–216. 1 indexed citations
18.
Li, Yan, et al.. (1999). Predicting shapes of hysteresis loops on the output of tunable external-cavity semiconductor lasers. IEEE Journal of Quantum Electronics. 35(10). 1521–1525.
19.
Li, Dayi, et al.. (1999). Specific gaussian beams propagating inside logarithmically saturable nonlinear media. Journal of Modern Optics. 46(8). 1177–1183. 2 indexed citations
20.
Chen, Jianguo, et al.. (1991). Experimental and theoretical studies on monitored signals from semiconductor diodes undergoing antireflection coatings. Applied Optics. 30(31). 4554–4554. 4 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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