Zhengwei Peng

1.3k total citations
40 papers, 954 citations indexed

About

Zhengwei Peng is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Zhengwei Peng has authored 40 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Computational Theory and Mathematics and 13 papers in Materials Chemistry. Recurrent topics in Zhengwei Peng's work include Computational Drug Discovery Methods (15 papers), Chemical Synthesis and Analysis (9 papers) and Machine Learning in Materials Science (5 papers). Zhengwei Peng is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Chemical Synthesis and Analysis (9 papers) and Machine Learning in Materials Science (5 papers). Zhengwei Peng collaborates with scholars based in United States, China and Germany. Zhengwei Peng's co-authors include A. T. Hagler, Ming‐Jing Hwang, Carl S. Ewig, Marvin Waldman, Yu‐hong Lam, Edward C. Sherer, Spencer D. Dreher, Ian W. Davies, Qiyue Hu and Atsuo Kuki and has published in prestigious journals such as Science, Angewandte Chemie International Edition and Journal of Medicinal Chemistry.

In The Last Decade

Zhengwei Peng

36 papers receiving 913 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhengwei Peng United States 15 325 308 294 231 153 40 954
Jonah Z. Vilseck United States 16 543 1.7× 311 1.0× 186 0.6× 192 0.8× 188 1.2× 37 1.3k
Yanfei Guan United States 16 259 0.8× 546 1.8× 333 1.1× 497 2.2× 159 1.0× 24 1.4k
Rubén Laplaza Switzerland 15 171 0.5× 410 1.3× 188 0.6× 305 1.3× 83 0.5× 46 890
Andrew F. Zahrt United States 13 208 0.6× 598 1.9× 342 1.2× 481 2.1× 210 1.4× 18 1.3k
Jonny Proppe Germany 15 192 0.6× 585 1.9× 223 0.8× 182 0.8× 85 0.6× 33 1.0k
Gregor N. C. Simm Switzerland 10 204 0.6× 522 1.7× 302 1.0× 61 0.3× 74 0.5× 10 801
Marcel Stahn Germany 9 132 0.4× 189 0.6× 63 0.2× 247 1.1× 58 0.4× 12 662
Yi‐Pei Li Taiwan 20 158 0.5× 743 2.4× 330 1.1× 269 1.2× 407 2.7× 53 1.4k
Lagnajit Pattanaik United States 10 139 0.4× 496 1.6× 357 1.2× 55 0.2× 104 0.7× 12 640

Countries citing papers authored by Zhengwei Peng

Since Specialization
Citations

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

Fields of papers citing papers by Zhengwei Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengwei Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengwei Peng. A scholar is included among the top collaborators of Zhengwei Peng 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 Zhengwei Peng. Zhengwei Peng 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
2.
Peng, Zhengwei, et al.. (2025). Enhanced Control for Diffusion Bridge in Image Restoration. 1–5. 1 indexed citations
3.
Peng, Zhengwei, et al.. (2023). Study on Dynamic Line Rating of Overhead Transmission Line Based on Large-Scale New Energy Power Grid Connection. Journal of Physics Conference Series. 2488(1). 12004–12004.
4.
Peng, Zhengwei, et al.. (2022). Organic Contaminants Sensor Based on Microfiber Grating. IEEE Photonics Technology Letters. 34(13). 703–706. 3 indexed citations
5.
Sherer, Edward C., Ansuman Bagchi, Birgit Kosjek, et al.. (2022). Driving Aspirational Process Mass Intensity Using Simple Structure-Based Prediction. Organic Process Research & Development. 26(5). 1405–1410. 15 indexed citations
6.
Qin, Yan, et al.. (2021). Influence of composite structure design on the ablation performance of ethylene propylene diene monomer composites. e-Polymers. 21(1). 151–159. 8 indexed citations
7.
Peng, Zhengwei, et al.. (2021). Structuring of hydroxy-terminated polydimethylsiloxane filled by fumed silica. e-Polymers. 21(1). 131–139. 6 indexed citations
8.
Li, Zhuangzhuang, et al.. (2020). The effect of fibre content on properties of ceramifiable composites. Plastics Rubber and Composites Macromolecular Engineering. 49(5). 230–236. 8 indexed citations
9.
Lin, Shishi, Sergei Dikler, R. D. Ferguson, et al.. (2018). Mapping the dark space of chemical reactions with extended nanomole synthesis and MALDI-TOF MS. Science. 361(6402). 145 indexed citations
10.
Engkvist, Ola, Per‐Ola Norrby, Nidhal Selmi, et al.. (2018). Computational prediction of chemical reactions: current status and outlook. Drug Discovery Today. 23(6). 1203–1218. 121 indexed citations
11.
Hu, Yuan, Deping Wang, Hongwu Wang, et al.. (2017). Performance of multiple docking and refinement methods in the pose prediction D3R prospective Grand Challenge 2016. Journal of Computer-Aided Molecular Design. 32(1). 113–127. 6 indexed citations
12.
Gao, Ying‐Duo, Yuan Hu, Alejandro Crespo, et al.. (2017). Workflows and performances in the ranking prediction of 2016 D3R Grand Challenge 2: lessons learned from a collaborative effort. Journal of Computer-Aided Molecular Design. 32(1). 129–142. 7 indexed citations
13.
Wang, Xiaohong, et al.. (2017). Effect of SiC Particles on the Corrosion Behaviour of 6.5% SiCp/Al-Cu-Mg-Zn Composites. International Journal of Electrochemical Science. 12(11). 11006–11016. 9 indexed citations
14.
Greshock, Thomas J., Keith P. Moore, Ray T. McClain, et al.. (2016). Synthesis of Complex Druglike Molecules by the Use of Highly Functionalized Bench‐Stable Organozinc Reagents. Angewandte Chemie. 128(44). 13918–13922. 23 indexed citations
15.
Wei, Xin, Lin Gao, Xiaolei Zhang, et al.. (2013). Introducing Bayesian Thinking to High-Throughput Screening for False-Negative Rate Estimation. SLAS DISCOVERY. 18(9). 1121–1131. 3 indexed citations
16.
Tari, Luis, Jan Küntzer, Jagruti Patel, et al.. (2011). Mining Gene-centric Relationships from Literature to Support Drug Discovery. 2. 639–644. 1 indexed citations
17.
Peng, Zhengwei, Qiyue Hu, Joe Z. Zhou, et al.. (2010). PGVL Hub: An Integrated Desktop Tool for Medicinal Chemists to Streamline Design and Synthesis of Chemical Libraries and Singleton Compounds. Methods in molecular biology. 685. 295–320. 10 indexed citations
18.
Hu, Qiyue, et al.. (2010). LEAP into the Pfizer Global Virtual Library (PGVL) Space: Creation of Readily Synthesizable Design Ideas Automatically. Methods in molecular biology. 685. 253–276. 28 indexed citations
19.
Peng, Zhengwei & Qiyue Hu. (2010). Design of Targeted Libraries Against the Human Chk1 Kinase Using PGVL Hub. Methods in molecular biology. 685. 321–336. 3 indexed citations
20.
Zhou, Joe Z., et al.. (2009). Combinatorial library-based design with Basis Products. Journal of Computer-Aided Molecular Design. 23(10). 725–736. 10 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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