Lufeng Yuan

675 total citations
14 papers, 593 citations indexed

About

Lufeng Yuan is a scholar working on Molecular Biology, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Lufeng Yuan has authored 14 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Media Technology and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Lufeng Yuan's work include Machine Learning in Bioinformatics (6 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Phylogenetic Studies (3 papers). Lufeng Yuan is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Phylogenetic Studies (3 papers). Lufeng Yuan collaborates with scholars based in China, United States and Saudi Arabia. Lufeng Yuan's co-authors include Wei Chen, Hao Lin, Hui Ding, En-Ze Deng, Chen Ding, Li Liu, Kuo‐Chen Chou, Ziqiang Li, Feng‐Biao Guo and Nini Rao and has published in prestigious journals such as Nanotechnology, Electrochemistry Communications and BioMed Research International.

In The Last Decade

Lufeng Yuan

12 papers receiving 583 citations

Peers

Lufeng Yuan

MB

CTM

MICRO

EOMM

MC

Guo-Liang Fan China

Mengting Niu China

Subu Subramanian United States

Yixiao Zhai China

Fang Ge China

Shaozhou Wang China

Zixu Wang China

Shen Niu China

Zheng-Xing Guan China

Guo-Liang Fan China

Lufeng Yuan

518 ×1.0

MB

71 ×0.9

CTM

22 ×0.6

MICRO

8 ×0.5

EOMM

53 ×3.8

MC

Citations per year, relative to Lufeng Yuan Lufeng Yuan (= 1×) peers Guo-Liang Fan

Countries citing papers authored by Lufeng Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Lufeng Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lufeng Yuan

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

All Works

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14 of 14 papers shown

1.

Yuan, Lufeng, et al.. (2022). Research and Application of Digital Twins Library of Power Facilities Based on Data-Driven. 1. 2400–2404. 1 indexed citations

2.

Yuan, Lufeng, et al.. (2022). Behavior characterization of hydrogen species on ZnO electrode during electrolytic reduction of water. Chinese Journal of Chemical Physics. 36(3). 313–318.

3.

Wu, Xuewei, Wangyang Li, Si‐Zhe Sheng, et al.. (2021). Enhanced H2 evolution reaction due to H spillover during electrolytic reduction of water on a Au/TiO2 electrode. Electrochemistry Communications. 129. 107085–107085. 9 indexed citations

4.

Chen, Xiangnan, Yan Zhang, Lei Tao, et al.. (2020). Carbonized polyaniline bridging nanodiamond-graphene hybrids for enhanced microwave absorptions with ultrathin thickness. Nanotechnology. 31(41). 415701–415701. 19 indexed citations

5.

Yuan, Lufeng, et al.. (2020). Research on Multi-source Heterogeneous Big Data in Extra-large Enterprises. 1–5. 1 indexed citations

6.

Yuan, Lufeng, et al.. (2019). Automatic Legal Judgment Prediction via Large Amounts of Criminal Cases. 2087–2091. 8 indexed citations

7.

Yuan, Lufeng, et al.. (2019). Intelligent Work Order Recognition System Based on End-to-End Deep Neural Network. 387–391. 1 indexed citations

8.

Yuan, Lufeng, Erlin Yao, & Guangming Tan. (2018). Automated and Precise Event Detection Method for Big Data in Biomedical Imaging with Support Vector Machine. Computer Systems Science and Engineering. 33(2). 105–113. 5 indexed citations

9.

Ding, Hui, En-Ze Deng, Lufeng Yuan, et al.. (2014). iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels. BioMed Research International. 2014. 1–10. 209 indexed citations

10.

Lin, Hao, Wei Chen, Lufeng Yuan, Ziqiang Li, & Hui Ding. (2013). Using Over-Represented Tetrapeptides to Predict Protein Submitochondria Locations. Acta Biotheoretica. 61(2). 259–268. 68 indexed citations

11.

Lin, Hao, Chen Ding, Lufeng Yuan, et al.. (2013). PREDICTING SUBCHLOROPLAST LOCATIONS OF PROTEINS BASED ON THE GENERAL FORM OF CHOU'S PSEUDO AMINO ACID COMPOSITION: APPROACHED FROM OPTIMAL TRIPEPTIDE COMPOSITION. International Journal of Biomathematics. 6(2). 1350003–1350003. 50 indexed citations

12.

Ding, Hui, En-Ze Deng, Lufeng Yuan, et al.. (2013). Prediction of Golgi-resident protein types by using feature selection technique. Chemometrics and Intelligent Laboratory Systems. 124. 9–13. 83 indexed citations

13.

Yuan, Lufeng, et al.. (2012). Prediction of the types of ion channel-targeted conotoxins based on radial basis function network. Toxicology in Vitro. 27(2). 852–856. 57 indexed citations

14.

Ding, Chen, et al.. (2012). Identification of mycobacterial membrane proteins and their types using over-represented tripeptide compositions. Journal of Proteomics. 77. 321–328. 82 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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