Aixia Yan

2.1k total citations
110 papers, 1.6k citations indexed

About

Aixia Yan is a scholar working on Computational Theory and Mathematics, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Aixia Yan has authored 110 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computational Theory and Mathematics, 44 papers in Molecular Biology and 16 papers in Organic Chemistry. Recurrent topics in Aixia Yan's work include Computational Drug Discovery Methods (63 papers), Analytical Chemistry and Chromatography (14 papers) and Machine Learning in Bioinformatics (12 papers). Aixia Yan is often cited by papers focused on Computational Drug Discovery Methods (63 papers), Analytical Chemistry and Chromatography (14 papers) and Machine Learning in Bioinformatics (12 papers). Aixia Yan collaborates with scholars based in China, Germany and United Kingdom. Aixia Yan's co-authors include Johann Gasteiger, Zhi Wang, Zhide Hu, Xiaoying Hu, Maolin Wang, Chong Yang, Andreas Bender, Yujia Tian, Liang Hu and Robert C. Glen and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Aixia Yan

106 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aixia Yan China 23 818 619 254 248 235 110 1.6k
Alexander Sedykh United States 28 1.3k 1.6× 782 1.3× 412 1.6× 145 0.6× 141 0.6× 51 2.3k
Eric Gifford United States 14 1.2k 1.5× 898 1.5× 214 0.8× 345 1.4× 412 1.8× 22 2.3k
Nigel Greene United States 26 1.3k 1.6× 945 1.5× 120 0.5× 312 1.3× 343 1.5× 56 2.7k
Chartchalerm Isarankura‐Na‐Ayudhya Thailand 27 683 0.8× 889 1.4× 162 0.6× 262 1.1× 624 2.7× 113 2.6k
Hongmao Sun United States 26 974 1.2× 1.3k 2.0× 319 1.3× 159 0.6× 337 1.4× 48 2.2k
Yufeng Jane Tseng Taiwan 29 588 0.7× 1.2k 1.9× 217 0.9× 317 1.3× 112 0.5× 106 2.3k
Massimo Baroni Italy 25 869 1.1× 1.1k 1.7× 146 0.6× 239 1.0× 374 1.6× 63 2.1k
Káthia M. Honório Brazil 26 969 1.2× 1.0k 1.7× 250 1.0× 141 0.6× 549 2.3× 149 2.6k
В. В. Прокопенко Germany 4 490 0.6× 525 0.8× 138 0.5× 258 1.0× 374 1.6× 4 1.4k
Lothar Terfloth Germany 14 1.2k 1.5× 1.1k 1.8× 369 1.5× 195 0.8× 306 1.3× 21 2.3k

Countries citing papers authored by Aixia Yan

Since Specialization
Citations

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

Fields of papers citing papers by Aixia Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aixia Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Aixia Yan. A scholar is included among the top collaborators of Aixia Yan 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 Aixia Yan. Aixia Yan 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.
Zhang, Shengyu, et al.. (2025). Sequence-based virtual screening using transformers. Nature Communications. 16(1). 6925–6925. 1 indexed citations
2.
3.
Zhou, Zhe, Minglu Zhu, Mo Chen, et al.. (2025). STN1 facilitates metastasis by promoting transcription of EMT-activator ZEB1 in pancreatic cancer. Nature Communications. 16(1). 7815–7815.
4.
Guo, Li, et al.. (2023). A SAR and QSAR study on cyclin dependent kinase 4 inhibitors using machine learning methods. Digital Discovery. 2(4). 1026–1041. 3 indexed citations
5.
6.
Tian, Yujia, et al.. (2023). Classification of FLT3 inhibitors and SAR analysis by machine learning methods. Molecular Diversity. 28(4). 1995–2011. 4 indexed citations
7.
Yan, Aixia, et al.. (2017). Computational models for the classification of mPGES-1 inhibitors with fingerprint descriptors. Molecular Diversity. 21(3). 661–675. 8 indexed citations
8.
Wang, Maolin, et al.. (2017). QSAR studies of the bioactivity of hepatitis C virus (HCV) NS3/4A protease inhibitors by multiple linear regression (MLR) and support vector machine (SVM). Bioorganic & Medicinal Chemistry Letters. 27(13). 2931–2938. 20 indexed citations
9.
Wu, Yanbin, et al.. (2013). Prediction of bioactivity of HIV-1 integrase ST inhibitors by multilinear regression analysis and support vector machine. Bioorganic & Medicinal Chemistry Letters. 23(6). 1648–1655. 15 indexed citations
10.
Hou, Xiaoli & Aixia Yan. (2013). Classification of Plasmodium falciparum glucose-6-phosphate dehydrogenase inhibitors by support vector machine. Molecular Diversity. 17(3). 489–497. 3 indexed citations
11.
Yan, Aixia, et al.. (2012). Classification of Active and Weakly Active ST Inhibitors of HIV-1 Integrase Using a Support Vector Machine. Combinatorial Chemistry & High Throughput Screening. 15(10). 792–805. 10 indexed citations
12.
Yan, Aixia & Kai Wang. (2012). Quantitative structure and bioactivity relationship study on human acetylcholinesterase inhibitors. Bioorganic & Medicinal Chemistry Letters. 22(9). 3336–3342. 26 indexed citations
13.
Wang, Ling, Maolin Wang, Aixia Yan, & Bin Dai. (2012). Using self-organizing map (SOM) and support vector machine (SVM) for classification of selectivity of ACAT inhibitors. Molecular Diversity. 17(1). 85–96. 18 indexed citations
14.
Yan, Aixia, Xiaoying Hu, Kai Wang, & Jing Sun. (2012). Discriminating of ATP competitive Src kinase inhibitors and decoys using self-organizing map and support vector machine. Molecular Diversity. 17(1). 75–83. 3 indexed citations
15.
Wang, Zhi, Hamse Y. Mussa, Robert Lowe, Robert C. Glen, & Aixia Yan. (2012). Probability Based hERG Blocker Classifiers. Molecular Informatics. 31(9). 679–685. 5 indexed citations
16.
Yang, Chong, et al.. (2011). An Optimum Fermentation Model Established by Genetic Algorithm for Biotransformation from Crude Polydatin to Resveratrol. Applied Biochemistry and Biotechnology. 166(2). 446–457. 19 indexed citations
17.
Hu, Xiaoying & Aixia Yan. (2011). In Silico Models to Discriminate Compounds Inducing and Noninducing Toxic Myopathy. Molecular Informatics. 31(1). 27–39. 7 indexed citations
18.
Lin, Ying, Yu Chen, Miao Feng, Aixia Yan, & Xiaodong Zhuang. (2007). One-pot Synthesis of Soluble Nanoscale CIGS Photoactive Functional Materials. Nanoscale Research Letters. 3(1). 21–4. 12 indexed citations
19.
Yan, Aixia, et al.. (2000). Predicting the Standard Enthalpy (ΔHof) and Entropy (So) of Alkanes by Artificial Neural Networks. SAR and QSAR in environmental research. 11(3-4). 235–244. 5 indexed citations
20.
Yan, Aixia, et al.. (2000). Use of artificial neural networks to predict the gas chromatographic retention index data of alkylbenzenes on carbowax-20M. Computers & Chemistry. 24(2). 171–179. 29 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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