Shiwei Wang

2.9k total citations · 2 hit papers
32 papers, 2.0k citations indexed

About

Shiwei Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Shiwei Wang has authored 32 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 8 papers in Artificial Intelligence. Recurrent topics in Shiwei Wang's work include Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (7 papers) and Machine Learning in Materials Science (3 papers). Shiwei Wang is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (7 papers) and Machine Learning in Materials Science (3 papers). Shiwei Wang collaborates with scholars based in China, Australia and United States. Shiwei Wang's co-authors include Luhua Lai, Jianfeng Pei, Weilin Zhang, Yihang Shen, Xiaofeng Liu, Xia Wang, Shiliang Li, Honglin Li, Youjun Xu and Ke Tang and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of Molecular Biology.

In The Last Decade

Shiwei Wang

31 papers receiving 1.9k citations

Hit Papers

PharmMapper 2017 update: a web server for potential drug ... 2017 2026 2020 2023 2017 2018 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiwei Wang China 14 1.0k 659 255 240 236 32 2.0k
Weilin Zhang China 14 972 1.0× 602 0.9× 260 1.0× 159 0.7× 233 1.0× 23 2.1k
Ningning Wang China 15 988 1.0× 1.0k 1.5× 263 1.0× 227 0.9× 236 1.0× 35 2.2k
Tuğba Önal-Süzek Türkiye 10 1.4k 1.3× 1.1k 1.7× 213 0.8× 184 0.8× 267 1.1× 21 2.1k
Li Fu China 13 827 0.8× 772 1.2× 209 0.8× 153 0.6× 203 0.9× 23 2.1k
Shiliang Li China 27 1.3k 1.3× 415 0.6× 286 1.1× 92 0.4× 245 1.0× 126 2.8k
Chengkun Wu China 18 1.3k 1.3× 1.0k 1.6× 255 1.0× 338 1.4× 234 1.0× 74 3.0k
Andrean Goede Germany 25 1.3k 1.3× 467 0.7× 143 0.6× 277 1.2× 170 0.7× 52 1.9k
J. Xiao United States 3 1.0k 1.0× 864 1.3× 163 0.6× 152 0.6× 187 0.8× 6 1.5k
Habibah A. Wahab Malaysia 28 913 0.9× 410 0.6× 265 1.0× 177 0.7× 342 1.4× 177 2.8k

Countries citing papers authored by Shiwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shiwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiwei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shiwei Wang. A scholar is included among the top collaborators of Shiwei Wang 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 Shiwei Wang. Shiwei Wang 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.
Wang, Shiwei, et al.. (2025). MMFuncPhos: A Multi‐Modal Learning Framework for Identifying Functional Phosphorylation Sites and Their Regulatory Types. Advanced Science. 12(9). e2410981–e2410981. 3 indexed citations
2.
Fu, Rongrong, et al.. (2023). Transformer-BLS: An efficient learning algorithm based on multi-head attention mechanism and incremental learning algorithms. Expert Systems with Applications. 238. 121734–121734. 22 indexed citations
3.
Wang, Shiwei, et al.. (2023). Fault Probability Correlation Analysis Based on Secondary Filtering. IEEE Access. 11. 113402–113409.
4.
Wang, Shiwei, et al.. (2023). CavityPlus 2022 Update: An Integrated Platform for Comprehensive Protein Cavity Detection and Property Analyses with User-friendly Tools and Cavity Databases. Journal of Molecular Biology. 435(14). 168141–168141. 60 indexed citations
5.
Zhai, Juan, et al.. (2023). CILIATE: Towards Fairer Class-Based Incremental Learning by Dataset and Training Refinement. 16. 475–487. 1 indexed citations
6.
Wang, Shiwei, et al.. (2022). Discovery of novel SARS-CoV-2 3CL protease covalent inhibitors using deep learning-based screen. European Journal of Medicinal Chemistry. 244. 114803–114803. 13 indexed citations
7.
Wang, Shiwei. (2022). Sarcastic Meaning of the Slightly Smiling Face Emoji from Chinese Twitter Users: When A Smiling Face Does Not Show Friendliness. International Journal of Languages Literature and Linguistics. 8(2). 65–73. 2 indexed citations
8.
Wang, Shiwei, Qi Sun, Youjun Xu, Jianfeng Pei, & Luhua Lai. (2021). A transferable deep learning approach to fast screen potential antiviral drugs against SARS-CoV-2. Briefings in Bioinformatics. 22(6). 37 indexed citations
9.
Wang, Shiwei, et al.. (2021). Multiple Target Drug Design Using LigBuilder 3. Methods in molecular biology. 2266. 279–298. 1 indexed citations
10.
Wang, Shiwei, et al.. (2020). A Distributed Anomaly Filtering Algorithm for Heterogeneous Data Based on City Computing. 79–83. 1 indexed citations
11.
Wang, Shiwei, Youjun Xu, Weilin Zhang, et al.. (2020). Transfer Learning for Drug Discovery. Journal of Medicinal Chemistry. 63(16). 8683–8694. 237 indexed citations
12.
Xu, Youjun, et al.. (2019). Efficient molecular encoders for virtual screening. Drug Discovery Today Technologies. 32-33. 19–27. 4 indexed citations
13.
Xu, Youjun, Shiwei Wang, Shuaishi Gao, et al.. (2018). CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction. Nucleic Acids Research. 46(W1). W374–W379. 281 indexed citations breakdown →
14.
Ouyang, Wei, Hui Zhou, Chao Liu, et al.. (2018). 25‐Hydroxycholesterol protects against acute lung injury via targeting MD‐2. Journal of Cellular and Molecular Medicine. 22(11). 5494–5503. 19 indexed citations
15.
Wang, Xia, Yihang Shen, Shiwei Wang, et al.. (2017). PharmMapper 2017 update: a web server for potential drug target identification with a comprehensive target pharmacophore database. Nucleic Acids Research. 45(W1). W356–W360. 1036 indexed citations breakdown →
16.
Wang, Yuqin, et al.. (2017). An improved algorithm for personalized recommendation on MOOCs. SHILAP Revista de lepidopterología. 1(3). 186–196. 14 indexed citations
17.
Guo, Liping, et al.. (2016). Emerging spotted fever group rickettsiae in ticks, northwestern China. Ticks and Tick-borne Diseases. 7(6). 1146–1150. 29 indexed citations
18.
Wang, Shiwei & Lijiang Zeng. (2015). Analysis and minimization of spacing error of holographic gratings recorded with spherical collimation lenses. Optics Express. 23(5). 5532–5532. 10 indexed citations
19.
Chen, Hainan, et al.. (2014). Optimal Fusion Set based Clustering in WSN for continuous objects monitoring. 26–31. 1 indexed citations
20.
Wang, Shiwei & Aiguo Li. (2004). Fraud detection in tax declaration using SGNN. Journal of Xi'an University of Science and Technology. 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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