Lesong Wei

710 total citations
13 papers, 383 citations indexed

About

Lesong Wei is a scholar working on Molecular Biology, Computational Theory and Mathematics and Microbiology. According to data from OpenAlex, Lesong Wei has authored 13 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Microbiology. Recurrent topics in Lesong Wei's work include vaccines and immunoinformatics approaches (6 papers), Machine Learning in Bioinformatics (6 papers) and Computational Drug Discovery Methods (6 papers). Lesong Wei is often cited by papers focused on vaccines and immunoinformatics approaches (6 papers), Machine Learning in Bioinformatics (6 papers) and Computational Drug Discovery Methods (6 papers). Lesong Wei collaborates with scholars based in China, Japan and Saudi Arabia. Lesong Wei's co-authors include Leyi Wei, Xiucai Ye, Tetsuya Sakurai, Zengchao Mu, Jie Chen, Yi Jiang, Dong‐Qing Wei, Yitian Fang, Lizhen Cui and Junru Jin and has published in prestigious journals such as Bioinformatics, Current Medicinal Chemistry and Methods.

In The Last Decade

Lesong Wei

13 papers receiving 380 citations

Peers

Lesong Wei
Weiliang Zhu China
Ya-Wei Zhao China
Dmitrii Nechaev Germany
Lezheng Yu China
Viktor Bojović Croatia
Zengchao Mu China
En-Ze Deng China
Lantian Yao China
Weiliang Zhu China
Lesong Wei
Citations per year, relative to Lesong Wei Lesong Wei (= 1×) peers Weiliang Zhu

Countries citing papers authored by Lesong Wei

Since Specialization
Citations

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

Fields of papers citing papers by Lesong Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lesong Wei

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

All Works

13 of 13 papers shown
1.
Xia, Ying, Quan Zou, Leyi Wei, et al.. (2025). An interpretable geometric graph neural network for enhancing the generalizability of drug–target interaction prediction. BMC Biology. 23(1). 350–350. 1 indexed citations
2.
Xu, Xiaopeng, Wenjia He, Lesong Wei, et al.. (2024). HELM-GPT: de novo macrocyclic peptide design using generative pre-trained transformer. Bioinformatics. 40(6). 5 indexed citations
3.
Fang, Yitian, Lesong Wei, Yi Jiang, et al.. (2023). AFP-MFL: accurate identification of antifungal peptides using multi-view feature learning. Briefings in Bioinformatics. 24(1). 47 indexed citations
4.
Wei, Lesong, Xiucai Ye, Kai Zhang, et al.. (2022). SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings in Bioinformatics. 24(1). 37 indexed citations
5.
Wei, Lesong, Xiucai Ye, Tetsuya Sakurai, Zengchao Mu, & Leyi Wei. (2022). ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning. Bioinformatics. 38(6). 1514–1524. 111 indexed citations
6.
Wei, Lesong, et al.. (2022). MDL-CPI: Multi-view deep learning model for compound-protein interaction prediction. Methods. 204. 418–427. 20 indexed citations
7.
8.
Wei, Lesong, et al.. (2022). GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information. Computers in Biology and Medicine. 150. 106145–106145. 36 indexed citations
9.
Wei, Lesong, Xiucai Ye, & Tetsuya Sakurai. (2022). ToxinMI. 77–82. 2 indexed citations
10.
11.
Ye, Xiucai, et al.. (2021). Better Performance with Transformer: CPPFormer in the PrecisePrediction of Cell-penetrating Peptides. Current Medicinal Chemistry. 29(5). 881–893. 3 indexed citations
12.
Yang, Xiao, et al.. (2021). iDNA-MT: Identification DNA Modification Sites in Multiple Species by Using Multi-Task Learning Based a Neural Network Tool. Frontiers in Genetics. 12. 663572–663572. 13 indexed citations
13.
Xiao, Cao, Wenjia He, Yifan Li, et al.. (2021). PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture. Briefings in Bioinformatics. 22(6). 18 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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