Lixia Sun

2.9k total citations · 2 hit papers
16 papers, 1.9k citations indexed

About

Lixia Sun is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, Lixia Sun has authored 16 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 7 papers in Molecular Biology and 5 papers in Spectroscopy. Recurrent topics in Lixia Sun's work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (6 papers) and Machine Learning in Bioinformatics (5 papers). Lixia Sun is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (6 papers) and Machine Learning in Bioinformatics (5 papers). Lixia Sun collaborates with scholars based in China and United States. Lixia Sun's co-authors include Weihua Li, Hongbin Yang, Guixia Liu, Yingchun Cai, Yun Tang, Zhuang Wang, Yun Tang, Jie Li, Chaofeng Lou and Peiwen Di and has published in prestigious journals such as Bioinformatics, Toxicological Sciences and Frontiers in Pharmacology.

In The Last Decade

Lixia Sun

15 papers receiving 1.8k citations

Hit Papers

admetSAR 2.0: web-service... 2018 2026 2020 2023 2018 2018 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. admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties
    2018 955 citations Hongbin Yang, Chaofeng Lou et al. Bioinformatics profile →
  2. ADMET-score – a comprehensive scoring function for evaluation of chemical drug-likeness
    2018 446 citations Longfei Guan, Hongbin Yang et al. MedChemComm profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lixia Sun China 11 935 728 452 242 198 16 1.9k
Guo‐Li Xiong China 9 796 0.9× 926 1.3× 474 1.0× 219 0.9× 205 1.0× 15 2.0k
Ningning Wang China 15 1.0k 1.1× 988 1.4× 369 0.8× 263 1.1× 236 1.2× 35 2.2k
Zhijiang Yang China 11 950 1.0× 975 1.3× 496 1.1× 238 1.0× 204 1.0× 24 2.2k
Martin Smieško Switzerland 27 560 0.6× 1.0k 1.4× 445 1.0× 261 1.1× 127 0.6× 102 2.1k
Jiacai Yi China 10 945 1.0× 1.1k 1.5× 552 1.2× 246 1.0× 229 1.2× 15 2.4k
Luca Pinzi Italy 17 802 0.9× 1.2k 1.6× 411 0.9× 285 1.2× 281 1.4× 42 2.2k
Anna K. Schrey Germany 14 873 0.9× 1.0k 1.4× 718 1.6× 257 1.1× 289 1.5× 24 2.5k
Modest von Korff Switzerland 11 829 0.9× 867 1.2× 510 1.1× 124 0.5× 238 1.2× 18 1.9k
Andreas Eckert Germany 9 1.0k 1.1× 1.0k 1.4× 599 1.3× 286 1.2× 322 1.6× 21 2.5k
Pavel V. Pogodin Russia 17 651 0.7× 749 1.0× 603 1.3× 245 1.0× 278 1.4× 38 1.8k

Countries citing papers authored by Lixia Sun

Since Specialization
Citations

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

Fields of papers citing papers by Lixia Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixia Sun

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

All Works

16 of 16 papers shown
1.
Jiang, Xiaoqin, et al.. (2022). Application of artificial intelligence and big data technology in synthesis planning. Scientia Sinica Chimica. 53(1). 66–78. 2 indexed citations
2.
Sun, Lixia, Hongbin Yang, Yingchun Cai, et al.. (2019). In Silico Prediction of Endocrine Disrupting Chemicals Using Single-Label and Multilabel Models. Journal of Chemical Information and Modeling. 59(3). 973–982. 26 indexed citations
3.
Liu, Lin, Hongbin Yang, Yingchun Cai, et al.. (2019). In silico prediction of chemical aquatic toxicity for marine crustaceans via machine learning. Toxicology Research. 8(3). 341–352. 27 indexed citations
4.
5.
Guan, Longfei, Hongbin Yang, Yingchun Cai, et al.. (2018). ADMET-score – a comprehensive scoring function for evaluation of chemical drug-likeness. MedChemComm. 10(1). 148–157. 446 indexed citations breakdown →
6.
Yang, Hongbin, Lixia Sun, Weihua Li, Guixia Liu, & Yun Tang. (2018). In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts. Frontiers in Chemistry. 6. 129–129. 172 indexed citations
7.
Yang, Hongbin, Chaofeng Lou, Lixia Sun, et al.. (2018). admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties. Bioinformatics. 35(6). 1067–1069. 955 indexed citations breakdown →
8.
Yang, Hongbin, Lixia Sun, Weihua Li, Guixia Liu, & Yun Tang. (2018). Identification of Nontoxic Substructures: A New Strategy to Avoid Potential Toxicity Risk. Toxicological Sciences. 165(2). 396–407. 13 indexed citations
9.
Yang, Hongbin, Lixia Sun, Zhuang Wang, et al.. (2018). ADMETopt: A Web Server for ADMET Optimization in Drug Design via Scaffold Hopping. Journal of Chemical Information and Modeling. 58(10). 2051–2056. 66 indexed citations
10.
Sun, Lixia, Hongbin Yang, Jie Li, et al.. (2017). In Silico Prediction of Compounds Binding to Human Plasma Proteins by QSAR Models. ChemMedChem. 13(6). 572–581. 74 indexed citations
11.
Yang, Hongbin, Lixia Sun, Peiwen Di, et al.. (2017). In silico prediction of chemical genotoxicity using machine learning methods and structural alerts. Toxicology Research. 7(2). 211–220. 42 indexed citations
12.
Sun, Lixia, et al.. (2015). Prediction of complex super-secondary structure βαβ motifs based on combined features. Saudi Journal of Biological Sciences. 23(1). 66–71. 7 indexed citations
13.
Hu, Xiuzhen, et al.. (2014). Predicting Enzyme Subclasses by Using Random Forest with Multicharacteristic Parameters. Protein and Peptide Letters. 21(3). 275–284. 3 indexed citations
14.
Sun, Lixia & Xiuzhen Hu. (2013). Recognition of beta-alpha-beta motifs in proteins by using Random Forest algorithm. 1. 546–551. 2 indexed citations
15.
Hu, Xiuzhen, et al.. (2013). The Comparison between Random Forest and Support Vector Machine Algorithm for Predicting β-Hairpin Motifs in Proteins. Engineering. 5(10). 391–395. 11 indexed citations
16.
Sun, Lixia, Xiuzhen Hu, & Shaobo Li. (2012). Predicting βαβ motifs based on SVM by using the ID and MS values. 910–914. 1 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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