Wencong Lu

414 total citations
10 papers, 333 citations indexed

About

Wencong Lu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Wencong Lu has authored 10 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Wencong Lu's work include Computational Drug Discovery Methods (4 papers), Machine Learning in Bioinformatics (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). Wencong Lu is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Machine Learning in Bioinformatics (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). Wencong Lu collaborates with scholars based in China and United Kingdom. Wencong Lu's co-authors include Guozheng Li, Jie Yang, Nianyi Chen, P. Villars, Ye Sheng, Jiong Yang, Yasong Wu, Wenqing Zhang, Hongbin Zhao and Muhammad Arif Khan and has published in prestigious journals such as IEEE Access, Biosensors and Bioelectronics and Journal of Computational Chemistry.

In The Last Decade

Wencong Lu

9 papers receiving 322 citations

Peers

Wencong Lu

MC

MB

EEE

CTM

BE

Yuhui Wang China

Fang Lü China

Abdo Mohammed Al‐Fakih Malaysia

Xiao Yu Li China

Marlen Neubert Germany

Clint van Hoesel Netherlands

Henrik Schopmans Germany

Chengkun Li China

Haochen Qi China

Yuhui Wang China

Wencong Lu

165 ×1.1

MC

89 ×0.8

MB

167 ×2.1

EEE

18 ×0.4

CTM

58 ×1.3

BE

Citations per year, relative to Wencong Lu Wencong Lu (= 1×) peers Yuhui Wang

Countries citing papers authored by Wencong Lu

Since Specialization

Citations

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

Fields of papers citing papers by Wencong Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wencong Lu

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Zhong, Junjie, Sheng Lu, Shihao Cui, et al.. (2023). Discovery of ANO1 Inhibitors based on Machine learning and molecule docking simulation approaches. European Journal of Pharmaceutical Sciences. 184. 106408–106408. 5 indexed citations

2.

Shen, Lihua, Muhammad Arif Khan, Xianyong Wu, et al.. (2022). Fe–N–C single-atom nanozymes based sensor array for dual signal selective determination of antioxidants. Biosensors and Bioelectronics. 205. 114097–114097. 84 indexed citations

3.

Sheng, Ye, Yasong Wu, Jiong Yang, et al.. (2020). Active learning for the power factor prediction in diamond-like thermoelectric materials. npj Computational Materials. 6(1). 65 indexed citations

4.

Li, Ruifan, et al.. (2018). Multiple Features With Extreme Learning Machines For Clothing Image Recognition. IEEE Access. 6. 36283–36294. 14 indexed citations

5.

Cai, Yu‐Dong, Jianfeng He, Xinlei Li, et al.. (2010). Prediction of Protein Subcellular Locations with Feature Selection and Analysis. Protein and Peptide Letters. 17(4). 464–472. 26 indexed citations

6.

Niu, Bing, Lin Lü, Liang Liu, et al.. (2008). HIV‐1 protease cleavage site prediction based on amino acid property. Journal of Computational Chemistry. 30(1). 33–39. 17 indexed citations

7.

Lu, Wencong, et al.. (2008). QSPR Study of n‐Octanol/Water Partition Coefficient of Some Aromatic Compounds Using Support Vector Regression. QSAR & Combinatorial Science. 28(2). 175–182. 22 indexed citations

8.

Lu, Wencong. (2005). Prediction of Properties of(Zr_(0.7)Sn_(0.3))TiO_4 Dielectric Ceramics Using Support Vector Regression.

9.

Chen, Nianyi, Wencong Lu, Jie Yang, & Guozheng Li. (2004). Support Vector Machine in Chemistry. WORLD SCIENTIFIC eBooks. 96 indexed citations

10.

Lu, Wencong. (2002). Support vector machine applied to chemistry and chemical technology. 4 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.

Explore authors with similar magnitude of impact