Xinliang Yu

1.3k total citations
86 papers, 1.1k citations indexed

About

Xinliang Yu is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Xinliang Yu has authored 86 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computational Theory and Mathematics, 36 papers in Organic Chemistry and 29 papers in Materials Chemistry. Recurrent topics in Xinliang Yu's work include Computational Drug Discovery Methods (48 papers), Free Radicals and Antioxidants (25 papers) and Machine Learning in Materials Science (14 papers). Xinliang Yu is often cited by papers focused on Computational Drug Discovery Methods (48 papers), Free Radicals and Antioxidants (25 papers) and Machine Learning in Materials Science (14 papers). Xinliang Yu collaborates with scholars based in China, United States and Singapore. Xinliang Yu's co-authors include Xueye Wang, Xianwei Huang, Hanlu Wang, Qun Zeng, Bing Yi, Jinwei Gao, Bing Yi, Ru‐Qin Yu, Fang Liu and Jianfang Chen and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Journal of Physical Chemistry C.

In The Last Decade

Xinliang Yu

81 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinliang Yu China 20 465 341 246 162 139 86 1.1k
Shahin Ahmadi Iran 19 494 1.1× 201 0.6× 280 1.1× 134 0.8× 91 0.7× 75 1.0k
Qingzhu Jia China 22 299 0.6× 270 0.8× 278 1.1× 57 0.4× 110 0.8× 82 1.0k
Fangyou Yan China 22 322 0.7× 200 0.6× 221 0.9× 55 0.3× 77 0.6× 71 1.1k
Florence H. Vermeire Belgium 17 434 0.9× 574 1.7× 108 0.4× 188 1.2× 153 1.1× 49 1.3k
Théophile Gaudin France 14 350 0.8× 466 1.4× 281 1.1× 226 1.4× 98 0.7× 37 978
Guillaume Fayet France 21 315 0.7× 551 1.6× 494 2.0× 70 0.4× 97 0.7× 56 1.1k
Andrzej Bąk Poland 20 399 0.9× 244 0.7× 387 1.6× 331 2.0× 137 1.0× 95 1.3k
Paul D. T. Huibers United States 15 104 0.2× 208 0.6× 644 2.6× 101 0.6× 249 1.8× 17 1.1k
J. Bermejo Spain 24 99 0.2× 331 1.0× 190 0.8× 160 1.0× 277 2.0× 101 1.7k

Countries citing papers authored by Xinliang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xinliang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinliang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinliang Yu. A scholar is included among the top collaborators of Xinliang Yu 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 Xinliang Yu. Xinliang Yu 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.
Yu, Xinliang. (2025). Predicting chemical toxicity towards Raphidocelis subcapitata with quantum chemical descriptors. Algal Research. 89. 104055–104055. 1 indexed citations
2.
Yu, Xinliang. (2025). Predicting glass transition temperatures for structurally diverse polymers. Colloid & Polymer Science. 303(7). 1287–1297. 1 indexed citations
3.
Yu, Xinliang, Ze Zhang, & Hanlu Wang. (2024). Global classification model for acute toxicity of organic compounds towards Tetrahymena pyriformis. Process Safety and Environmental Protection. 192. 1221–1227. 2 indexed citations
4.
Yu, Xinliang. (2024). Predicting glass transition temperatures for OLED organics with random forest algorithm. Chemical Physics. 591. 112579–112579. 1 indexed citations
5.
Yu, Xinliang & Ze Zhang. (2024). Calculation of Solute Partition Coefficient Using the A-P Scheme. Journal of Solution Chemistry. 54(2). 246–261.
6.
Zhang, Xinhua, et al.. (2023). Support Vector Machine-Based Global Classification Model of the Toxicity of Organic Compounds to Vibrio fischeri. Molecules. 28(6). 2703–2703. 4 indexed citations
7.
Yu, Xinliang, et al.. (2023). Large Dataset-Based Regression Model of Chemical Toxicity to Vibrio fischeri. Archives of Environmental Contamination and Toxicology. 85(1). 46–54. 3 indexed citations
8.
Fang, Zhengjun, Xinliang Yu, & Qun Zeng. (2022). Random forest algorithm-based accurate prediction of chemical toxicity to Tetrahymena pyriformis. Toxicology. 480. 153325–153325. 27 indexed citations
9.
Yu, Xinliang. (2020). Prediction of chemical toxicity to Tetrahymena pyriformis with four-descriptor models. Ecotoxicology and Environmental Safety. 190. 110146–110146. 41 indexed citations
10.
Yu, Xinliang, Huiqiong Yang, & Xianwei Huang. (2018). Novel Method for Structure–Activity Relationship of Aptamer Sequences for Human Prostate Cancer. ACS Omega. 3(8). 10002–10007. 11 indexed citations
11.
Yu, Xinliang, et al.. (2018). Correlation between 13C NMR chemical shifts and complete sets of descriptors of natural coumarin derivatives. Chemometrics and Intelligent Laboratory Systems. 184. 167–174. 10 indexed citations
12.
Yu, Xinliang, Jiyong Deng, & Qiuping Guo. (2017). Computer-aided design of aptamers for SMMC-7721 liver carcinoma cells. Turkish Journal of Biochemistry. 42(5). 565–570. 1 indexed citations
13.
Li, Li, Xinliang Yu, Fangqin Li, & Baojia Chen. (2015). Parameter Optimization of Linear Phased Array Transducer for Defect Detection. The Open Automation and Control Systems Journal. 6(1). 488–492.
14.
Yu, Xinliang, et al.. (2014). Support Vector Machine Classification of Streptavidin-Binding Aptamers. PLoS ONE. 9(6). e99964–e99964. 7 indexed citations
15.
Yu, Xinliang, et al.. (2014). PREDICTION OF RATE CONSTANTS FOR NITRATE RADICAL REACTIONS USING A SVM MODEL BASED ON DENSITY FUNCTIONAL THEORY. Environmental Engineering and Management Journal. 13(2). 315–322. 6 indexed citations
16.
Yu, Xinliang, Ru‐Qin Yu, Li‐Juan Tang, et al.. (2014). Recognition of candidate aptamer sequences for human hepatocellular carcinoma in SELEX screening using structure–activity relationships. Chemometrics and Intelligent Laboratory Systems. 136. 10–14. 13 indexed citations
17.
Yu, Xinliang, et al.. (2009). Prediction of the polarity parameter π for the radical derived from monomer. e-Polymers. 9(1). 1 indexed citations
18.
Yu, Xinliang, Wenhao Yu, Bing Yi, & Xueye Wang. (2009). Artificial neural network prediction of steric hindrance parameter of polymers. Chemical Papers. 63(4). 6 indexed citations
19.
Yu, Xinliang, et al.. (2009). DFT-based quantum theoretic QSPR studies of the glass transition temperatures of polyacrylates. Journal of Structural Chemistry. 50(5). 821–826. 8 indexed citations
20.
Yu, Xinliang, Xueye Wang, Hanlu Wang, Aihong Liu, & Cuili Zhang. (2006). Prediction of the glass transition temperatures of styrenic copolymers using a QSPR based on the DFT method. Journal of Molecular Structure THEOCHEM. 766(2-3). 113–117. 27 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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