Yanjie Wei

3.4k total citations
130 papers, 2.0k citations indexed

About

Yanjie Wei is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Yanjie Wei has authored 130 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 27 papers in Computational Theory and Mathematics and 20 papers in Cancer Research. Recurrent topics in Yanjie Wei's work include Protein Structure and Dynamics (26 papers), Computational Drug Discovery Methods (26 papers) and MicroRNA in disease regulation (16 papers). Yanjie Wei is often cited by papers focused on Protein Structure and Dynamics (26 papers), Computational Drug Discovery Methods (26 papers) and MicroRNA in disease regulation (16 papers). Yanjie Wei collaborates with scholars based in China, United States and Germany. Yanjie Wei's co-authors include Haiping Zhang, Konda Mani Saravanan, Shengzhong Feng, Yi Pan, Md. Tofazzal Hossain, Huiling Zhang, Yang Yang, Yin Peng, Jintao Meng and Wenhui Xi and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Yanjie Wei

118 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanjie Wei China 25 1.1k 397 262 189 142 130 2.0k
Liang Yu China 30 1.5k 1.3× 433 1.1× 266 1.0× 170 0.9× 153 1.1× 103 2.3k
Hilal Tayara South Korea 31 1.9k 1.7× 468 1.2× 242 0.9× 105 0.6× 187 1.3× 133 2.8k
Dan Zhao China 30 1.8k 1.6× 417 1.1× 231 0.9× 74 0.4× 194 1.4× 134 2.9k
Qiao Liu China 23 1.1k 1.0× 219 0.6× 195 0.7× 89 0.5× 75 0.5× 117 1.9k
Yunjie Zhao China 34 2.3k 2.0× 182 0.5× 450 1.7× 174 0.9× 176 1.2× 150 4.3k
Jing Tang China 23 1.7k 1.5× 474 1.2× 258 1.0× 78 0.4× 49 0.3× 79 2.6k
Yuansheng Liu China 28 1.1k 1.0× 525 1.3× 255 1.0× 164 0.9× 262 1.8× 136 2.9k
Yi Xiong China 32 2.2k 2.0× 807 2.0× 233 0.9× 125 0.7× 249 1.8× 126 3.1k
Tae Hwan Shin South Korea 29 2.5k 2.2× 280 0.7× 191 0.7× 31 0.2× 127 0.9× 58 3.3k

Countries citing papers authored by Yanjie Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yanjie Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanjie Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Yanjie Wei. A scholar is included among the top collaborators of Yanjie 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 Yanjie Wei. Yanjie Wei 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.
2.
Huang, Qingsheng, Yin Peng, Yuefeng Peng, et al.. (2024). Design, in silico evaluation, and in vitro verification of new bivalent Smac mimetics with pro-apoptotic activity. Methods. 224. 35–46. 1 indexed citations
3.
Wei, Yanjie, Yao Xiao, Shaohua Li, et al.. (2024). Depth prediction of GFRP composite using long pulse thermography. Measurement. 237. 115259–115259.
4.
Wang, Xinge, Yingnan Han, Weixiao Qi, et al.. (2024). Spatio-temporal characteristics of genotoxicity in the Yangtze River under the background of COVID-19 pandemic. Frontiers of Environmental Science & Engineering. 18(11). 1 indexed citations
5.
Xu, Lei, Pan Tong, & Yanjie Wei. (2024). Target Tracking with Variational Multi-Detection Mode under Unknown Parameters for HFHSSWR. Radioengineering. 33(3). 406–416.
6.
Wang, Zechen, Sheng Wang, Yangyang Li, et al.. (2024). A new paradigm for applying deep learning to protein–ligand interaction prediction. Briefings in Bioinformatics. 25(3). 15 indexed citations
7.
Zhou, Fan, Zechen Wang, Qiuyue Hu, et al.. (2024). Fully Flexible Molecular Alignment Enables Accurate Ligand Structure Modeling. Journal of Chemical Information and Modeling. 64(15). 6205–6215. 3 indexed citations
8.
Wu, Hao, Keliang Zhao, Jintao Meng, et al.. (2023). A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial Annotations. International Journal of Molecular Sciences. 24(22). 16028–16028. 3 indexed citations
9.
Wang, Zechen, Jamie Hinks, Yanjie Wei, et al.. (2023). Application of variational graph encoders as an effective generalist algorithm in computer-aided drug design. Nature Machine Intelligence. 5(7). 754–764. 15 indexed citations
10.
Islam, Md. Ariful, Md. Tofazzal Hossain, Shengzhong Feng, et al.. (2022). Bioinformatics Screening of Potential Biomarkers from mRNA Expression Profiles to Discover Drug Targets and Agents for Cervical Cancer. International Journal of Molecular Sciences. 23(7). 3968–3968. 29 indexed citations
11.
Wei, Yanjie, Yue Geng, Kui Wang, et al.. (2022). Organic ultrathin nanostructure arrays: materials, methods and applications. Nanoscale Advances. 4(11). 2399–2411. 5 indexed citations
12.
Meng, Jintao, Peng Chen, Mohamed Wahib, et al.. (2022). Boosting the predictive performance with aqueous solubility dataset curation. Scientific Data. 9(1). 17 indexed citations
13.
Zhang, Huiling, Zhendong Bei, Wenhui Xi, et al.. (2021). Evaluation of residue-residue contact prediction methods: From retrospective to prospective. PLoS Computational Biology. 17(5). e1009027–e1009027. 19 indexed citations
14.
Zhang, Haiping, Yang Yang, Junxin Li, et al.. (2020). A novel virtual screening procedure identifies Pralatrexate as inhibitor of SARS-CoV-2 RdRp and it reduces viral replication in vitro. PLoS Computational Biology. 16(12). e1008489–e1008489. 44 indexed citations
15.
Saravanan, Konda Mani, et al.. (2020). Structural basis for the inhibition of SARS-CoV2 main protease by Indian medicinal plant-derived antiviral compounds. Journal of Biomolecular Structure and Dynamics. 40(5). 1970–1978. 30 indexed citations
16.
Zhang, Haiping, et al.. (2020). DeepBindPoc: a deep learning method to rank ligand binding pockets using molecular vector representation. PeerJ. 8. e8864–e8864. 15 indexed citations
17.
Hossain, Md. Tofazzal, Yin Peng, Shengzhong Feng, & Yanjie Wei. (2020). FcircSEC: An R Package for Full Length circRNA Sequence Extraction and Classification. International Journal of Genomics. 2020. 1–11. 11 indexed citations
18.
Saravanan, Konda Mani, Haiping Zhang, & Yanjie Wei. (2020). Identifying Native and Non-native Membrane Protein Loops by Using Stabilizing Energetic Terms of Three Popular Force Fields. 1(1). 14–21. 3 indexed citations
19.
Zhu, Juncheng, Zhile Yang, Monjur Mourshed, et al.. (2019). Electric Vehicle Charging Load Forecasting: A Comparative Study of Deep Learning Approaches. Energies. 12(14). 2692–2692. 162 indexed citations
20.
Zhang, Haishan, Ximing Shao, Yin Peng, et al.. (2019). A novel machine learning based approach for iPS progenitor cell identification. PLoS Computational Biology. 15(12). e1007351–e1007351. 23 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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