Daniel Li

1.3k total citations
62 papers, 645 citations indexed

About

Daniel Li is a scholar working on Applied Mathematics, Mathematical Physics and Statistics and Probability. According to data from OpenAlex, Daniel Li has authored 62 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Applied Mathematics, 21 papers in Mathematical Physics and 17 papers in Statistics and Probability. Recurrent topics in Daniel Li's work include Holomorphic and Operator Theory (27 papers), Advanced Banach Space Theory (19 papers) and Advanced Harmonic Analysis Research (12 papers). Daniel Li is often cited by papers focused on Holomorphic and Operator Theory (27 papers), Advanced Banach Space Theory (19 papers) and Advanced Harmonic Analysis Research (12 papers). Daniel Li collaborates with scholars based in France, Spain and United States. Daniel Li's co-authors include Luis Rodríguez–Piazza, Ying Yuan, Ruitao Lin, Pascal Lefèvre, Yanhong Zhou, Lei Nie, Katherine E. Warren, Fangrong Yan, Mohamed Elhoseny and Xiaohui Yuan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Cancer Research and Statistics in Medicine.

In The Last Decade

Daniel Li

59 papers receiving 612 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 Li France 13 262 256 137 116 70 62 645
Richard Aló United States 11 51 0.2× 51 0.2× 113 0.8× 54 0.5× 57 0.8× 71 809
Lev B. Klebanov Czechia 16 49 0.2× 291 1.1× 61 0.4× 136 1.2× 45 0.6× 84 1.2k
Pierre Vallois France 13 100 0.4× 109 0.4× 202 1.5× 60 0.5× 108 1.5× 58 643
Anyue Chen United Kingdom 18 41 0.2× 281 1.1× 339 2.5× 325 2.8× 15 0.2× 65 902
A. Araujo Brazil 10 76 0.3× 131 0.5× 153 1.1× 140 1.2× 288 4.1× 17 694
Wai Kiu Chan United States 7 50 0.2× 169 0.7× 61 0.4× 109 0.9× 38 0.5× 21 451
Edward Omey Belgium 16 92 0.4× 302 1.2× 259 1.9× 441 3.8× 29 0.4× 84 852
V. R. R. Uppuluri United States 12 30 0.1× 152 0.6× 39 0.3× 87 0.8× 15 0.2× 51 422
Ji Li China 19 772 2.9× 11 0.0× 493 3.6× 14 0.1× 38 0.5× 129 1.2k
Young‐Heon Kim Canada 14 290 1.1× 33 0.1× 43 0.3× 23 0.2× 26 0.4× 32 457

Countries citing papers authored by Daniel Li

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Li

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Li. A scholar is included among the top collaborators of Daniel 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 Daniel Li. Daniel 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, Daniel, et al.. (2023). Bayesian optimal phase II designs with dual‐criterion decision making. Pharmaceutical Statistics. 22(4). 605–618. 5 indexed citations
2.
Zhou, Yanhong, Ruitao Lin, J. Jack Lee, et al.. (2022). TITE‐BOIN12: A Bayesian phase I/II trial design to find the optimal biological dose with late‐onset toxicity and efficacy. Statistics in Medicine. 41(11). 1918–1931. 31 indexed citations
3.
Ananthakrishnan, Revathi, Stephanie Green, Alessandro Previtali, et al.. (2021). Critical review of oncology clinical trial design under non-proportional hazards. Critical Reviews in Oncology/Hematology. 162. 103350–103350. 17 indexed citations
4.
Lin, Ruitao, Yanhong Zhou, Fangrong Yan, Daniel Li, & Ying Yuan. (2020). BOIN12: Bayesian Optimal Interval Phase I/II Trial Design for Utility-Based Dose Finding in Immunotherapy and Targeted Therapies. JCO Precision Oncology. 4(4). 1393–1402. 80 indexed citations
5.
Yuan, Ying, Ruitao Lin, Daniel Li, Lei Nie, & Katherine E. Warren. (2018). Time-to-Event Bayesian Optimal Interval Design to Accelerate Phase I Trials. Clinical Cancer Research. 24(20). 4921–4930. 84 indexed citations
6.
Lechner, Gandalf, et al.. (2018). Approximation numbers of weighted composition operators. Journal of Functional Analysis. 274(7). 1928–1958. 5 indexed citations
7.
Ananthakrishnan, Revathi, Stephanie Green, Daniel Li, & Michael P. LaValley. (2018). Extensions of the mTPI and TEQR designs to include non-monotone efficacy in addition to toxicity for optimal dose determination for early phase immunotherapy oncology trials. Contemporary Clinical Trials Communications. 10. 62–76. 4 indexed citations
8.
Li, Daniel & Hervé Queffélec. (2017). Introduction to Banach Spaces: Analysis and Probability. Cambridge University Press eBooks. 7 indexed citations
9.
Bayart, Frédéric, et al.. (2017). Approximation numbers of composition operators on the Hardy and Bergman spaces of the ball and of the polydisk. Mathematical Proceedings of the Cambridge Philosophical Society. 165(1). 69–91. 3 indexed citations
10.
Li, Daniel, et al.. (2015). Two results on composition operators on the Dirichlet space. Journal of Mathematical Analysis and Applications. 426(2). 734–746. 3 indexed citations
11.
Lefèvre, Pascal, et al.. (2013). Compact composition operators on Bergman-Orlicz spaces. Transactions of the American Mathematical Society. 365(8). 3943–3970. 9 indexed citations
12.
Lefèvre, Pascal, et al.. (2012). Compact composition operators on the Dirichlet space and capacity of sets of contact points. Journal of Functional Analysis. 264(4). 895–919. 11 indexed citations
13.
Lefèvre, Pascal, et al.. (2011). The canonical injection of the Hardy–Orlicz space HΨinto the Bergman–Orlicz space BΨ. Studia Mathematica. 202(2). 123–144. 1 indexed citations
14.
Lefèvre, Pascal, et al.. (2008). Some examples of compact composition operators on H2. Journal of Functional Analysis. 255(11). 3098–3124. 22 indexed citations
15.
Lefèvre, Pascal, et al.. (2008). Weak compactness and Orlicz spaces. Colloquium Mathematicum. 112(1). 23–32. 2 indexed citations
16.
Li, Daniel, et al.. (2007). On some random thin sets of integers. Proceedings of the American Mathematical Society. 136(1). 141–150. 2 indexed citations
17.
Lefèvre, Pascal, et al.. (2006). Opérateurs de composition sur les espaces de Hardy–Orlicz. Comptes Rendus Mathématique. 344(1). 5–10. 3 indexed citations
18.
Li, Daniel, et al.. (2004). Introduction à l'étude des espaces de banach : analyse et probabilités. 34(4). 583–607. 13 indexed citations
19.
Lefèvre, Pascal, et al.. (2002). Lacunary Sets and Function Spaces with Finite Cotype. Journal of Functional Analysis. 188(1). 272–291. 5 indexed citations
20.
Godefroy, Gilles, N. J. Kalton, & Daniel Li. (2000). Operators between subspaces and quotients of L^1. Indiana University Mathematics Journal. 49(1). 0–0. 10 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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