Tianlu Zhao

1.4k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Tianlu Zhao is a scholar working on Materials Chemistry, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Tianlu Zhao has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 3 papers in Molecular Biology and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Tianlu Zhao's work include Advanced Nanomaterials in Catalysis (4 papers), Carbon and Quantum Dots Applications (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Tianlu Zhao is often cited by papers focused on Advanced Nanomaterials in Catalysis (4 papers), Carbon and Quantum Dots Applications (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Tianlu Zhao collaborates with scholars based in China. Tianlu Zhao's co-authors include Siqi Shi, Yue Liu, Guang Yang, Xuecheng Zhang, Zenghong Xie, Dongzhi Wu, Qiao‐Nan Guo, Xiangrong Chen, Yingying Guo and Yingying Guo and has published in prestigious journals such as Analytica Chimica Acta, Talanta and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.

In The Last Decade

Tianlu Zhao

8 papers receiving 1.0k citations

Hit Papers

Materials discovery and design using machine learning 2017 2026 2020 2023 2017 250 500 750
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. Materials discovery and design using machine learning
    2017 938 citations Yue Liu, Tianlu Zhao et al. Journal of Materiomics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianlu Zhao China 6 683 258 250 124 119 8 1.1k
Deqing Xue China 8 972 1.4× 343 1.3× 287 1.1× 163 1.3× 194 1.6× 11 1.3k
Xiangyu Sun China 14 670 1.0× 149 0.6× 417 1.7× 68 0.5× 195 1.6× 40 1.2k
Xiaobo Ji China 13 397 0.6× 143 0.6× 240 1.0× 61 0.5× 105 0.9× 33 806
Steven K. Kauwe United States 11 743 1.1× 153 0.6× 156 0.6× 185 1.5× 107 0.9× 15 970
Dipendra Jha United States 9 645 0.9× 171 0.7× 104 0.4× 171 1.4× 83 0.7× 12 888
Weidong Wu China 20 372 0.5× 122 0.5× 300 1.2× 50 0.4× 133 1.1× 72 1.2k
G. Lambard Japan 9 395 0.6× 119 0.5× 129 0.5× 143 1.2× 75 0.6× 16 624
Zhilei Wang Japan 18 645 0.9× 269 1.0× 272 1.1× 26 0.2× 82 0.7× 60 986
Yunjian Wu China 17 360 0.5× 261 1.0× 164 0.7× 82 0.7× 108 0.9× 55 807
Ruihao Yuan China 21 1.4k 2.1× 693 2.7× 393 1.6× 180 1.5× 310 2.6× 58 2.0k

Countries citing papers authored by Tianlu Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Tianlu Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianlu Zhao

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

All Works

8 of 8 papers shown
1.
2.
Zhao, Tianlu, et al.. (2024). A fluorescent sensor based on single band bright red luminescent core-shell UCNPs for the high-sensitivity detection of glucose and glutathione. Analytica Chimica Acta. 1295. 342323–342323. 11 indexed citations
3.
Guo, Yingying, et al.. (2023). Highly sensitive detection for xanthine by combining single-band red up-conversion nanoparticles and cycle signal amplification strategy based on internal filtration effect. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 306. 123566–123566. 3 indexed citations
4.
Guo, Yingying, et al.. (2023). A ligand-free up-conversion nanoplatform based on enzyme cascade amplification strategy for highly sensitive detection of alkaline phosphatase. Microchemical Journal. 193. 109170–109170. 7 indexed citations
5.
Zhao, Tianlu, et al.. (2022). A strategy for the accurate detection of glucose in human serum based on the IFE effect of up-transformed nanoparticles. Microchemical Journal. 186. 108363–108363. 13 indexed citations
6.
7.
Zhao, Tianlu, et al.. (2017). The onset temperature (Tg) of As Se1 glasses transition prediction: A comparison of topological and regression analysis methods. Computational Materials Science. 140. 315–321. 53 indexed citations
8.
Liu, Yue, et al.. (2017). Materials discovery and design using machine learning. Journal of Materiomics. 3(3). 159–177. 938 indexed citations breakdown →

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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