Yingze Wang

628 total citations
9 papers, 44 citations indexed

About

Yingze Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Yingze Wang has authored 9 papers receiving a total of 44 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in Yingze Wang's work include Protein Structure and Dynamics (3 papers), Machine Learning in Materials Science (3 papers) and Computational Drug Discovery Methods (3 papers). Yingze Wang is often cited by papers focused on Protein Structure and Dynamics (3 papers), Machine Learning in Materials Science (3 papers) and Computational Drug Discovery Methods (3 papers). Yingze Wang collaborates with scholars based in United States, China and Hong Kong. Yingze Wang's co-authors include Junhan Chang, Linfeng Zhang, Junmin Chen, Xinyan Wang, Wei Feng, Kuang Yu, Shi‐Kuo Chang, Teresa Head‐Gordon, Jie Li and Oufan Zhang and has published in prestigious journals such as Journal of Chemical Theory and Computation, Journal of Chemical Information and Modeling and ACS Central Science.

In The Last Decade

Yingze Wang

9 papers receiving 44 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yingze Wang United States	3	26	16	9	8	4	9	44
J. Harry Moore United Kingdom	4	51 2.0×	16 1.0×	20 2.2×	6 0.8×	2 0.5×	4	74
J. B. Thayer United States	5	23 0.9×	8 0.5×	2 0.2×	7 0.9×	5 1.3×	9	62
Maksim Kuznetsov Canada	4	24 0.9×	24 1.5×	29 3.2×	5 0.6×	9 2.3×	8	61
Chun Cai China	2	16 0.6×	26 1.6×	24 2.7×	4 0.5×	3 0.8×	3	52
Leighton Wilson United States	6	11 0.4×	17 1.1×	3 0.3×	11 1.4×	3 0.8×	9	59
Xavier R. Advincula United Kingdom	5	35 1.3×	8 0.5×	9 1.0×	6 0.8×	5 1.3×	6	60
H. Zhou China	3	13 0.5×	18 1.1×	2 0.2×	12 1.5×	3 0.8×	6	42
Ryan Brand United States	3	9 0.3×	39 2.4×	14 1.6×	2 0.3×	5 1.3×	4	60
Sergii Kashubin Switzerland	3	58 2.2×	29 1.8×	33 3.7×	5 0.6×	20 5.0×	3	98
J. Buckley United States	3	18 0.7×	5 0.3×	8 0.9×	4 0.5×	3 0.8×	7	41

Countries citing papers authored by Yingze Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yingze Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingze Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yingze Wang. A scholar is included among the top collaborators of Yingze 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 Yingze Wang. Yingze Wang 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:

9 of 9 papers shown

Wang, Yingze, et al.. (2025). SynLlama: Generating Synthesizable Molecules and Their Analogs with Large Language Models. ACS Central Science. 11(11). 2108–2120. 1 indexed citations

Wang, Yingze, Jie Li, Xingyi Guan, et al.. (2025). A workflow to create a high-quality protein–ligand binding dataset for training, validation, and prediction tasks. Digital Discovery. 4(5). 1209–1220. 4 indexed citations

Wang, Yanjing, et al.. (2024). SRSF3 Knockdown Inhibits Lipopolysaccharide-Induced Inflammatory Response in Macrophages. Current Issues in Molecular Biology. 46(6). 6237–6247. 2 indexed citations

Li, Jie, Oufan Zhang, Yingze Wang, et al.. (2024). Mining for Potent Inhibitors through Artificial Intelligence and Physics: A Unified Methodology for Ligand Based and Structure Based Drug Design. Journal of Chemical Information and Modeling. 64(24). 9082–9097. 2 indexed citations

Xu, Yao, et al.. (2024). Serine/Arginine-Rich Splicing Factor 7 Knockdown Inhibits Aerobic Glycolysis and Growth in HepG2 Cells by Regulating PKM2 Expression. Current Issues in Molecular Biology. 46(5). 5023–5036. 1 indexed citations

Wang, Xinyan, Yingze Wang, Junhan Chang, et al.. (2023). DMFF: An Open-Source Automatic Differentiable Platform for Molecular Force Field Development and Molecular Dynamics Simulation. Journal of Chemical Theory and Computation. 19(17). 5897–5909. 29 indexed citations

Wang, Yingze & Shi‐Kuo Chang. (2014). User Profile Visualization to Facilitate MSLIM-Model-Based Social Influence Analysis Based on Slow Intelligence Approach. International Journal of Software Engineering and Knowledge Engineering. 24(10). 1573–1587. 1 indexed citations

Wang, Yingze, Guang Xiang, & Shi‐Kuo Chang. (2013). Sparse Multi-Task Learning for Detecting Influential Nodes in an Implicit Diffusion Network. Proceedings of the AAAI Conference on Artificial Intelligence. 27(1). 926–932. 1 indexed citations

Wang, Yingze & Shi‐Kuo Chang. (2011). High Dimensional Feature Selection via a Slow Intelligence Approach.. 10–15. 3 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