Yan Hui

404 total citations
10 papers, 334 citations indexed

About

Yan Hui is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Yan Hui has authored 10 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 3 papers in Computational Theory and Mathematics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Yan Hui's work include Machine Learning in Materials Science (3 papers), Computational Drug Discovery Methods (3 papers) and Protein Structure and Dynamics (2 papers). Yan Hui is often cited by papers focused on Machine Learning in Materials Science (3 papers), Computational Drug Discovery Methods (3 papers) and Protein Structure and Dynamics (2 papers). Yan Hui collaborates with scholars based in China, Australia and Hong Kong. Yan Hui's co-authors include Pin Chen, Jie‐Peng Zhang, Ning‐Yu Huang, Chao Wang, Zong‐Wen Mo, Zi‐Ming Ye, Chun‐Ting He, Rui‐Kang Huang, Nan Jiang and Dong‐Dong Zhou and has published in prestigious journals such as Nature Materials, Bioinformatics and The Journal of Physical Chemistry C.

In The Last Decade

Yan Hui

10 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Hui China 7 217 156 77 73 57 10 334
Felipe Lopes Oliveira Brazil 9 266 1.2× 195 1.3× 65 0.8× 38 0.5× 53 0.9× 17 341
Christos Papadopoulos Greece 14 223 1.0× 95 0.6× 26 0.3× 27 0.4× 37 0.6× 33 427
Nagihan Çaylak Delibaş Türkiye 11 121 0.6× 90 0.6× 156 2.0× 41 0.6× 15 0.3× 58 352
Hong He China 11 328 1.5× 41 0.3× 43 0.6× 110 1.5× 89 1.6× 21 375
Carmen Chen United States 5 136 0.6× 155 1.0× 28 0.4× 17 0.2× 45 0.8× 5 220
Jaslyn Ru Ting Chen Singapore 9 124 0.6× 41 0.3× 73 0.9× 164 2.2× 8 0.1× 16 360
D. Hoppe Germany 7 227 1.0× 113 0.7× 92 1.2× 61 0.8× 11 0.2× 12 362
Ya‐Qiong Wen China 10 218 1.0× 107 0.7× 133 1.7× 109 1.5× 18 0.3× 22 370
Jesús Baldenebro-López Mexico 14 219 1.0× 41 0.3× 70 0.9× 194 2.7× 78 1.4× 38 454
Gabriella Barozzino‐Consiglio France 12 103 0.5× 126 0.8× 81 1.1× 59 0.8× 12 0.2× 28 365

Countries citing papers authored by Yan Hui

Since Specialization
Citations

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

Fields of papers citing papers by Yan Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Hui

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

All Works

10 of 10 papers shown
1.
Chen, Pin, Jianwen Chen, Yan Hui, et al.. (2022). Improving Material Property Prediction by Leveraging the Large-Scale Computational Database and Deep Learning. The Journal of Physical Chemistry C. 126(38). 16297–16305. 7 indexed citations
2.
Hui, Yan, et al.. (2022). Advances in the Catalytic Asymmetric Synthesis of Chiral Spiroketals. Chinese Journal of Organic Chemistry. 42(11). 3640–3640. 3 indexed citations
3.
Hui, Yan, et al.. (2022). VSTH: a user-friendly web server for structure-based virtual screening on Tianhe-2. Bioinformatics. 39(1). 6 indexed citations
4.
Chen, Pin, Yan Hui, Yangzhong Li, et al.. (2020). 3DStructGen: an interactive web-based 3D structure generation for non-periodic molecule and crystal. Journal of Cheminformatics. 12(1). 7–7. 5 indexed citations
5.
Chen, Pin, Yutong Lu, Yunfei Du, et al.. (2019). DLIGAND2: an improved knowledge-based energy function for protein–ligand interactions using the distance-scaled, finite, ideal-gas reference state. Journal of Cheminformatics. 11(1). 52–52. 36 indexed citations
6.
Lu, Na, Ning Liu, Yan Hui, et al.. (2019). Characterization of highly effective plasma-treated g-C3N4 and application to the photocatalytic H2O2 production. Chemosphere. 241. 124927–124927. 65 indexed citations
7.
Zhou, Dong‐Dong, Pin Chen, Chao Wang, et al.. (2019). Intermediate-sized molecular sieving of styrene from larger and smaller analogues. Nature Materials. 18(9). 994–998. 174 indexed citations
8.
Lu, Na, Yan Hui, Kefeng Shang, et al.. (2018). Diagnostics of Plasma Behavior and TiO2 Properties Based on DBD/TiO2 Hybrid System. Plasma Chemistry and Plasma Processing. 38(6). 1239–1258. 21 indexed citations
9.
Hui, Yan, Na Lu, Kefeng Shang, et al.. (2018). Classification and uniformity optimization of mesh-plate DBD and its application in polypropylene modification. Plasma Science and Technology. 21(5). 54006–54006. 13 indexed citations
10.
Deng, Yangfan, et al.. (2011). Pressure induced band-gap changes in (Ba0.5Sr0.5)TiO3 (BST) from first-principles calculations. Acta Physica Sinica. 60(11). 117309–117309. 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.

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