Tu C. Le

5.0k total citations · 2 hit papers
83 papers, 3.8k citations indexed

About

Tu C. Le is a scholar working on Materials Chemistry, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Tu C. Le has authored 83 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Materials Chemistry, 27 papers in Molecular Biology and 14 papers in Organic Chemistry. Recurrent topics in Tu C. Le's work include Machine Learning in Materials Science (13 papers), Lipid Membrane Structure and Behavior (9 papers) and Computational Drug Discovery Methods (7 papers). Tu C. Le is often cited by papers focused on Machine Learning in Materials Science (13 papers), Lipid Membrane Structure and Behavior (9 papers) and Computational Drug Discovery Methods (7 papers). Tu C. Le collaborates with scholars based in Australia, United States and United Kingdom. Tu C. Le's co-authors include David A. Winkler, Calum J. Drummond, Frank R. Burden, V. Chandana Epa, Celesta Fong, Haoxin Mai, Rachel A. Caruso, Dehong Chen, Martin R. Pollak and Raghu Kalluri and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Tu C. Le

80 papers receiving 3.7k 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.

Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery

2022 358 citations Haoxin Mai, Tu C. Le et al. profile →
Systematic Comparison of the Structural and Dynamic Properties of Commonly Used Water Models for Molecular Dynamics Simulations

2021 189 citations Nastaran Meftahi, Aaron Elbourne et al. Journal of Chemical Information and Modeling profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tu C. Le Australia	27	1.3k	934	658	473	423	83	3.8k
Qiuhua Zhang China	33	978 0.8×	905 1.0×	98 0.1×	141 0.3×	267 0.6×	140	3.7k
Junbo Gong China	44	6.6k 5.2×	1.3k 1.3×	88 0.1×	1.5k 3.2×	1.8k 4.3×	571	10.4k
Yuhe Wang China	37	1.1k 0.8×	435 0.5×	23 0.0×	383 0.8×	412 1.0×	226	4.1k
Shu‐Hua Zhang China	38	1.1k 0.9×	707 0.8×	32 0.0×	905 1.9×	232 0.5×	308	5.1k
Zhenghua Wang China	46	3.0k 2.3×	812 0.9×	45 0.1×	707 1.5×	691 1.6×	237	8.3k
Chang Gao China	29	518 0.4×	717 0.8×	108 0.2×	132 0.3×	206 0.5×	149	2.5k
Effendi Widjaja Singapore	34	944 0.7×	434 0.5×	15 0.0×	399 0.8×	713 1.7×	94	3.4k
Qin Dai China	27	1.5k 1.2×	2.3k 2.5×	91 0.1×	270 0.6×	3.5k 8.3×	61	7.1k
Xinyang Wang China	45	726 0.6×	1.8k 1.9×	32 0.0×	178 0.4×	645 1.5×	307	6.6k
Jun Zhang China	46	1.8k 1.4×	1.2k 1.3×	29 0.0×	334 0.7×	1.6k 3.8×	283	7.4k

Countries citing papers authored by Tu C. Le

Since Specialization

Citations

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

Fields of papers citing papers by Tu C. Le

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tu C. Le

This figure shows the co-authorship network connecting the top 25 collaborators of Tu C. Le. A scholar is included among the top collaborators of Tu C. 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 Tu C. Le. Tu C. Le 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.

Qiu, Dong, et al.. (2024). Optimising the manufacturing of a β-Ti alloy produced via direct energy deposition using small dataset machine learning. Scientific Reports. 14(1). 6975–6975. 13 indexed citations

2.

Mai, Haoxin, Xiaoming Wen, Xuying Li, et al.. (2024). Data driven high quantum yield halide perovskite phosphors design and fabrication. Materials Today. 74. 12–21. 18 indexed citations

3.

Mulder, Roger J., et al.. (2024). Advancing antimicrobial polymer development: a novel database and accelerated design via machine learning. Polymer Chemistry. 15(40). 4063–4076. 3 indexed citations

4.

Le, Tu C., Imtisal Zahid, Karma Zuraiqi, et al.. (2024). Liquid Metal Electrocatalyst with Ultralow Pt Loading for Ethanol Oxidation. SHILAP Revista de lepidopterología. 5(1). 2400370–2400370. 6 indexed citations

5.

Zuraiqi, Karma, Chung Kim Nguyen, Tu C. Le, et al.. (2023). Liquid metal-based catalysts for the electroreduction of carbon dioxide into solid carbon. Journal of Materials Chemistry A. 11(27). 14990–14996. 17 indexed citations

6.

Li, Xuying, Haoxin Mai, Junlin Lu, et al.. (2023). Rational Atom Substitution to Obtain Efficient, Lead‐Free Photocatalytic Perovskites Assisted by Machine Learning and DFT Calculations. Angewandte Chemie International Edition. 62(52). e202315002–e202315002. 21 indexed citations

7.

Ameen, Mariam, Dan Yang, Vaishnavi Krishnamurthi, et al.. (2023). Liquid Metal Alloy Catalysis – Challenges and Prospects. ChemCatChem. 15(22). 11 indexed citations

8.

Mai, Haoxin, Xuying Li, Junlin Lu, et al.. (2023). Synthesis of Layered Lead-Free Perovskite Nanocrystals with Precise Size and Shape Control and Their Photocatalytic Activity. Journal of the American Chemical Society. 145(31). 17337–17350. 48 indexed citations

9.

Mulder, Roger J., et al.. (2023). A review on the application of molecular descriptors and machine learning in polymer design. Polymer Chemistry. 14(29). 3325–3346. 44 indexed citations

10.

Li, Xuying, Haoxin Mai, Junlin Lu, et al.. (2023). Rational Atom Substitution to Obtain Efficient, Lead‐Free Photocatalytic Perovskites Assisted by Machine Learning and DFT Calculations. Angewandte Chemie. 135(52). 3 indexed citations

11.

Kelly, Thomas J., et al.. (2023). Quantum Chemistry–Machine Learning Approach for Predicting Properties of Lewis Acid–Lewis Base Adducts. ACS Omega. 8(21). 19119–19127. 3 indexed citations

12.

Williams‐Noonan, Billy J., Tu C. Le, Philip E. Thompson, et al.. (2022). Membrane Permeating Macrocycles: Design Guidelines from Machine Learning. Journal of Chemical Information and Modeling. 62(19). 4605–4619. 14 indexed citations

13.

Daglar, Hilal, et al.. (2021). Prediction of O₂/N₂ Selectivity in Metal–Organic Frameworks via High-Throughput Computational Screening and Machine Learning. ACS Applied Materials & Interfaces. 14(1). 736–749. 53 indexed citations

14.

Meftahi, Nastaran, Aaron Elbourne, Alessia C. G. Weiss, et al.. (2021). Systematic Comparison of the Structural and Dynamic Properties of Commonly Used Water Models for Molecular Dynamics Simulations. Journal of Chemical Information and Modeling. 61(9). 4521–4536. 189 indexed citations breakdown →

15.

Nele, Valeria, Margaret N. Holme, Hanna M. G. Barriga, et al.. (2021). Design of Lipid-Based Nanocarriers via Cation Modulation of Ethanol-Interdigitated Lipid Membranes. Langmuir. 37(40). 11909–11921. 5 indexed citations

16.

Mai, Haoxin, Tu C. Le, Takashi Hisatomi, et al.. (2021). Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts. iScience. 24(9). 103068–103068. 26 indexed citations

17.

Leutou, Alain Simplice, Inho Yang, Tu C. Le, et al.. (2018). Fluvirucin B6, a new macrolactam isolated from a marine-derived actinomycete of the genus Nocardiopsis. The Journal of Antibiotics. 71(6). 609–612. 13 indexed citations

18.

Le, Tu C., et al.. (2014). Illuminating Flash Point: Comprehensive Prediction Models. Molecular Informatics. 34(1). 18–27. 11 indexed citations

19.

Fong, Celesta, Tu C. Le, & Calum J. Drummond. (2011). Lyotropic liquid crystal engineering–ordered nanostructured small molecule amphiphileself-assembly materials by design. Chemical Society Reviews. 41(3). 1297–1322. 290 indexed citations

20.

Tsukaguchi, Hiroyasu, Akulapalli Sudhakar, Tu C. Le, et al.. (2002). NPHS2 mutations in late-onset focal segmental glomerulosclerosis: R229Q is a common disease-associated allele. Journal of Clinical Investigation. 110(11). 1659–1666. 143 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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