Peng Guo

1.9k total citations · 1 hit paper
44 papers, 1.5k citations indexed

About

Peng Guo is a scholar working on Organic Chemistry, Pharmaceutical Science and Mechanical Engineering. According to data from OpenAlex, Peng Guo has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Organic Chemistry, 7 papers in Pharmaceutical Science and 6 papers in Mechanical Engineering. Recurrent topics in Peng Guo's work include Catalytic C–H Functionalization Methods (21 papers), Radical Photochemical Reactions (11 papers) and Catalytic Cross-Coupling Reactions (10 papers). Peng Guo is often cited by papers focused on Catalytic C–H Functionalization Methods (21 papers), Radical Photochemical Reactions (11 papers) and Catalytic Cross-Coupling Reactions (10 papers). Peng Guo collaborates with scholars based in China, United States and Singapore. Peng Guo's co-authors include Xing‐Zhong Shu, Hao Xie, Chunling Li, Pei‐Feng Su, Ke Wang, Jingui Duan, Xue‐Yuan Liu, Ke‐Yin Ye, Yuquan Wang and Yi Wang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and ACS Catalysis.

In The Last Decade

Peng Guo

42 papers receiving 1.4k citations

Hit Papers

A multi-action deep reinforcement learning framework for ... 2022 2026 2023 2024 2022 50 100 150

Peers

Peng Guo
Comparison fields: 5 of 70
  • Organic Chemistry 1.1k
  • Inorganic Chemistry 255
  • Industrial and Manufacturing Engineering 229
  • Pharmaceutical Science 172
  • Molecular Biology 71
Replace Xiaoqing Tang with:
Xiaoqing Tang China
Weibing Liu China
Hongbo Li China
Wenliang Wu China
Scott A. May United States
Zhenghui Wen Netherlands
Jun Qiu China
Markus Damm Austria
Naoto Inoue Japan
Mohsen Behnam United States
Xiaoqing Tang China View profile →
Citations per field, relative to Peng Guo
Peng Guo · 1×
Citations per year, relative to Peng Guo
Peng Guo · 1×

Countries citing papers authored by Peng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Peng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Guo. A scholar is included among the top collaborators of Peng Guo 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 Peng Guo. Peng Guo 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
# Work Indexed citations
1 2
2 0
3 7
4 4
5 1
6 2
7 30
8 55
9
A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem breakdown →
188
10 2
11 16
12 20
13 2
14 58
15 4
16 2
17 119
18 5
19 10
20 5

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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