Zheng Cheng

478 total citations
20 papers, 348 citations indexed

About

Zheng Cheng is a scholar working on Materials Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Zheng Cheng has authored 20 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 5 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Zheng Cheng's work include Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (4 papers) and Protein Structure and Dynamics (3 papers). Zheng Cheng is often cited by papers focused on Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (4 papers) and Protein Structure and Dynamics (3 papers). Zheng Cheng collaborates with scholars based in China, United Kingdom and Canada. Zheng Cheng's co-authors include Jing Ma, Shuhua Li, Wei Li, Yanwen Guo, Ziteng Liu, Yanyan Jiang, Liqiang Lin, Qingqing Jia, Dongbo Zhao and Xuezhi Feng and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Physical Chemistry Chemical Physics.

In The Last Decade

Zheng Cheng

18 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zheng Cheng China 11 186 83 73 59 49 20 348
Yosuke Sumiya Japan 11 161 0.9× 72 0.9× 71 1.0× 45 0.8× 156 3.2× 13 416
Eric Dybeck United States 11 223 1.2× 40 0.5× 66 0.9× 22 0.4× 32 0.7× 12 363
Ali Hashemi Netherlands 5 170 0.9× 38 0.5× 34 0.5× 26 0.4× 117 2.4× 7 392
Ludwig Schwiedrzik Austria 6 323 1.7× 95 1.1× 55 0.8× 44 0.7× 15 0.3× 6 380
Andrew Behn United States 5 103 0.6× 40 0.5× 47 0.6× 19 0.3× 68 1.4× 6 233
Anupam Anand Ojha United States 10 127 0.7× 56 0.7× 112 1.5× 34 0.6× 27 0.6× 17 362
Justin K. Kirkland United States 6 203 1.1× 42 0.5× 35 0.5× 33 0.6× 130 2.7× 19 419
Guido Falk von Rudorff Germany 14 417 2.2× 195 2.3× 133 1.8× 85 1.4× 41 0.8× 37 704
Pierpaolo Morgante United States 10 145 0.8× 25 0.3× 26 0.4× 37 0.6× 153 3.1× 20 334
Abdulrahman Aldossary United States 8 226 1.2× 26 0.3× 26 0.4× 35 0.6× 47 1.0× 16 413

Countries citing papers authored by Zheng Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Zheng Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheng Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Cheng. A scholar is included among the top collaborators of Zheng Cheng 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 Zheng Cheng. Zheng Cheng 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.
Hu, Taiping, Haichao Huang, Guobing Zhou, et al.. (2025). Observation of dendrite formation at Li metal-electrolyte interface by a machine-learning enhanced constant potential framework. Nature Communications. 16(1). 7379–7379.
2.
Cheng, Zheng, Hangrui Bi, Siyuan Liu, et al.. (2024). Developing a Differentiable Long-Range Force Field for Proteins with E(3) Neural Network-Predicted Asymptotic Parameters. Journal of Chemical Theory and Computation. 20(13). 5598–5608. 5 indexed citations
3.
4.
Cheng, Zheng, Jiapeng Liu, Tong Jiang, et al.. (2023). Automatic Screen‐out of Ir(III) Complex Emitters by Combined Machine Learning and Computational Analysis. Advanced Optical Materials. 11(18). 8 indexed citations
5.
Xiao, Weihua, Shanshan Han, Zheng Cheng, et al.. (2023). MiniTNtk: An Exact Synthesis-based Method for Minimizing Transistor Network. 1–9. 1 indexed citations
6.
Liao, Kang, et al.. (2022). Combined fragment-based machine learning force field with classical force field and its application in the NMR calculations of macromolecules in solutions. Physical Chemistry Chemical Physics. 24(31). 18559–18567. 10 indexed citations
7.
Zhang, Lei, Zheng Cheng, Wei Li, & Shuhua Li. (2022). Generalized energy-based fragmentation approach for accurate binding energies and Raman spectra of methane hydrate clusters. Chinese Journal of Chemical Physics. 35(1). 167–176. 5 indexed citations
8.
Liu, Bingqian, Qin Zhu, Lingyu Tang, et al.. (2022). Single-Atom Tailoring of Two-Dimensional Atomic Crystals Enables Highly Efficient Detection and Pattern Recognition of Chemical Vapors. ACS Sensors. 7(5). 1533–1543. 28 indexed citations
9.
Cheng, Zheng, Jiahui Du, Lei Zhang, et al.. (2021). Building quantum mechanics quality force fields of proteins with the generalized energy-based fragmentation approach and machine learning. Physical Chemistry Chemical Physics. 24(3). 1326–1337. 31 indexed citations
10.
Liu, Ziteng, Liqiang Lin, Qingqing Jia, et al.. (2021). Transferable Multilevel Attention Neural Network for Accurate Prediction of Quantum Chemistry Properties via Multitask Learning. Journal of Chemical Information and Modeling. 61(3). 1066–1082. 83 indexed citations
11.
Chen, Yuxuan, Bailin Tian, Zheng Cheng, et al.. (2020). Electro‐Descriptors for the Performance Prediction of Electro‐Organic Synthesis. Angewandte Chemie. 133(8). 4245–4253. 12 indexed citations
12.
Cheng, Zheng, Dongbo Zhao, Jing Ma, Wei Li, & Shuhua Li. (2020). An On-the-Fly Approach to Construct Generalized Energy-Based Fragmentation Machine Learning Force Fields of Complex Systems. The Journal of Physical Chemistry A. 124(24). 5007–5014. 25 indexed citations
13.
Chen, Yuxuan, Bailin Tian, Zheng Cheng, et al.. (2020). Electro‐Descriptors for the Performance Prediction of Electro‐Organic Synthesis. Angewandte Chemie International Edition. 60(8). 4199–4207. 44 indexed citations
14.
Zhao, Dongbo, et al.. (2020). Accurate and Efficient Prediction of NMR Parameters of Condensed-Phase Systems with the Generalized Energy-Based Fragmentation Method. Journal of Chemical Theory and Computation. 16(5). 2995–3005. 21 indexed citations
15.
Fu, Fangjia, Kang Liao, Jing Ma, et al.. (2019). How intermolecular interactions influence electronic absorption spectra: insights from the molecular packing of uracil in condensed phases. Physical Chemistry Chemical Physics. 21(7). 4072–4081. 21 indexed citations
16.
Li, Junxia, et al.. (2019). Synthesis, structure and DFT calculations of 1,2-N-substituted o-carboranes. Dalton Transactions. 48(21). 7242–7248. 12 indexed citations
17.
Li, Wei, Kang Liao, Yunzhi Li, et al.. (2018). Fast quantum chemistry calculations for large molecules and condensed-phase systems: The developments and applications of generalized energy-based fragmentation approach. Chinese Science Bulletin (Chinese Version). 63(33). 3427–3441. 7 indexed citations
18.
Wei, Yu-Zhen, Zheng Cheng, Wei Li, & Hai‐Bin Zhu. (2017). Syntheses, crystal structures and photophysical properties of d10 transition-metal (Ag+, Cu+, Cd2+ and Zn2+) coordination complexes based on a thiophene-containing heterocyclic thioamide. Journal of Coordination Chemistry. 70(16). 2900–2915. 9 indexed citations
19.
Cheng, Zheng & Zhi Geng. (2008). Reverse engineering of asynchronous Boolean networks via minimum explanatory set and maximum likelihood. 237–248. 2 indexed citations
20.
Ramadan, Elnazir, Xuezhi Feng, & Zheng Cheng. (2004). Satellite remote sensing for urban growth assessment in Shaoxing City, Zhejiang Province. Journal of Zhejiang University. Science A. 5(9). 1095–1101. 24 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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