Qingyi Yang

3.3k total citations
33 papers, 871 citations indexed

About

Qingyi Yang is a scholar working on Molecular Biology, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Qingyi Yang has authored 33 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Materials Chemistry and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Qingyi Yang's work include Computational Drug Discovery Methods (7 papers), Organic Electronics and Photovoltaics (6 papers) and Machine Learning in Materials Science (5 papers). Qingyi Yang is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Organic Electronics and Photovoltaics (6 papers) and Machine Learning in Materials Science (5 papers). Qingyi Yang collaborates with scholars based in United States, China and Hong Kong. Qingyi Yang's co-authors include Furong Zhu, Kim A. Sharp, Xinjun Hou, Vishnu Sresht, Alpha A. Lee, Bo Wu, Christopher R. Butler, Jacquelyn Klug‐McLeod, Jun Lin and Peter Bolgar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Applied Physics Letters.

In The Last Decade

Qingyi Yang

29 papers receiving 859 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingyi Yang United States 20 317 289 262 193 160 33 871
Li Rao China 25 680 2.1× 377 1.3× 599 2.3× 142 0.7× 337 2.1× 75 2.0k
Hiroko Satoh Japan 18 267 0.8× 482 1.7× 46 0.2× 180 0.9× 69 0.4× 64 1.1k
Fulvio Ciriaco Italy 16 135 0.4× 216 0.7× 121 0.5× 195 1.0× 50 0.3× 46 654
José M. Granadino‐Roldán Spain 18 162 0.5× 212 0.7× 306 1.2× 45 0.2× 179 1.1× 59 773
James L. McDonagh United Kingdom 14 415 1.3× 147 0.5× 74 0.3× 214 1.1× 16 0.1× 24 886
Rubén Laplaza Switzerland 15 410 1.3× 171 0.6× 63 0.2× 188 1.0× 20 0.1× 46 890
Volker Settels Germany 15 1000 3.2× 565 2.0× 400 1.5× 894 4.6× 136 0.8× 22 1.8k
Shuhua Ma United States 15 218 0.7× 669 2.3× 84 0.3× 76 0.4× 11 0.1× 26 1.1k
Ranjana Mehrotra India 16 113 0.4× 286 1.0× 89 0.3× 19 0.1× 93 0.6× 36 782
Francisco Carlos Lavarda Brazil 17 130 0.4× 76 0.3× 370 1.4× 29 0.2× 298 1.9× 49 716

Countries citing papers authored by Qingyi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qingyi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Qingyi Yang. A scholar is included among the top collaborators of Qingyi Yang 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 Qingyi Yang. Qingyi Yang 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.
Yang, Haitao, et al.. (2025). Study on movement characteristics of landslide considering earthquake magnitude and duration time. Bulletin of Engineering Geology and the Environment. 84(3).
3.
4.
King‐Smith, Emma, Felix A. Faber, Louise Bernier, et al.. (2025). Predictive design of crystallographic chiral separation. Nature Communications. 16(1). 7977–7977.
5.
King‐Smith, Emma, Felix A. Faber, Usa Reilly, et al.. (2024). Predictive Minisci late stage functionalization with transfer learning. Nature Communications. 15(1). 426–426. 18 indexed citations
6.
King‐Smith, Emma, Simon Berritt, Louise Bernier, et al.. (2024). Probing the chemical ‘reactome’ with high-throughput experimentation data. Nature Chemistry. 16(4). 633–643. 26 indexed citations
7.
Eng, Heather, Qingyi Yang, Laura J. Byrnes, et al.. (2023). Species differences in plasma protein binding of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease inhibitor nirmatrelvir. Xenobiotica. 53(1). 12–24. 3 indexed citations
8.
Brajesh, K., Vishnu Sresht, Qingyi Yang, et al.. (2022). TorsionNet: A Deep Neural Network to Rapidly Predict Small-Molecule Torsional Energy Profiles with the Accuracy of Quantum Mechanics. Journal of Chemical Information and Modeling. 62(4). 785–800. 32 indexed citations
9.
Lee, Alpha A., Qingyi Yang, Christopher R. Butler, et al.. (2019). Ligand biological activity predicted by cleaning positive and negative chemical correlations. Proceedings of the National Academy of Sciences. 116(9). 3373–3378. 22 indexed citations
10.
Xu, Yuan, Qingyi Yang, Tongyan Liu, et al.. (2019). Design, synthesis and in vitro evaluation of 6-amide-2-aryl benzoxazole/benzimidazole derivatives against tumor cells by inhibiting VEGFR-2 kinase. European Journal of Medicinal Chemistry. 179. 147–165. 66 indexed citations
11.
Brajesh, K., Vishnu Sresht, Qingyi Yang, et al.. (2019). Comprehensive Assessment of Torsional Strain in Crystal Structures of Small Molecules and Protein–Ligand Complexes using ab Initio Calculations. Journal of Chemical Information and Modeling. 59(10). 4195–4208. 23 indexed citations
12.
Yang, Qingyi, et al.. (2019). Optimal designs for pairwise calculation: An application to free energy perturbation in minimizing prediction variability. Journal of Computational Chemistry. 41(3). 247–257. 22 indexed citations
13.
Ji, Wenyu, Ting Wang, Han Zhang, et al.. (2017). Highly efficient flexible quantum-dot light emitting diodes with an ITO/Ag/ITO cathode. Journal of Materials Chemistry C. 5(18). 4543–4548. 43 indexed citations
14.
Mesleh, Michael F., Jason B. Cross, Jing Zhang, et al.. (2016). Fragment-based discovery of DNA gyrase inhibitors targeting the ATPase subunit of GyrB. Bioorganic & Medicinal Chemistry Letters. 26(4). 1314–1318. 52 indexed citations
15.
Li, Ke, Rong Huang, Jianqiang Zhang, et al.. (2013). Investigation of inclusion complex of Epothilone A with cyclodextrins. Carbohydrate Polymers. 102. 297–305. 44 indexed citations
16.
Liu, Hanxiao, Zhenghui Wu, Jianqiao Hu, et al.. (2013). Efficient and ultraviolet durable inverted organic solar cells based on an aluminum-doped zinc oxide transparent cathode. Applied Physics Letters. 103(4). 54 indexed citations
17.
Spink, Charles H., Liang Ding, Qingyi Yang, Richard D. Sheardy, & Nadrian C. Seeman. (2009). Thermodynamics of Forming a Parallel DNA Crossover. Biophysical Journal. 97(2). 528–538. 11 indexed citations
18.
Yang, Qingyi & Kim A. Sharp. (2008). Building alternate protein structures using the elastic network model. Proteins Structure Function and Bioinformatics. 74(3). 682–700. 20 indexed citations
19.
Prabhu, Ninad V., Manoranjan Panda, Qingyi Yang, & Kim A. Sharp. (2007). Explicit ion, implicit water solvation for molecular dynamics of nucleic acids and highly charged molecules. Journal of Computational Chemistry. 29(7). 1113–1130. 42 indexed citations
20.
Tong, Aijun, et al.. (2003). Study on the binding mode of zinc(II) protoporphyrin and ctDNA in water. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 59(13). 2967–2970. 2 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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