Ping Guo

631 citations
67 papers · 357 · h-index 11

Impact in

Papers in

Ping Guo

54 papers receiving 345 citations

Peers

Ping Guo
Comparison fields: 5 of 70
  • Industrial and Manufacturing Engineering 37
  • Computational Theory and Mathematics 50
  • Mechanical Engineering 109
  • Artificial Intelligence 81
  • Molecular Biology 142
Replace Hans Georg Schaathun with:
Hans Georg Schaathun Norway
Binping Zhao China
Pradnya Vikhar India
Xueming Ding China
Dheeb Albashish Jordan
Pravir Chawdhry United Kingdom
Arturo Hernández Aguirre Mexico
Ezgi Zorarpacı Türkiye
Ping Guo relative to Hans Georg Schaathun Norway Hans Georg Schaathun's profile →
Citations per field
00.5×6.8×
Hans Georg Schaathun · 1×
Citations per year

Countries citing papers authored by Ping Guo

Since Specialization
Citations

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

Fields of papers citing papers by Ping Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ping Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ping Guo Line = papers co-authored together Ping Guo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201241
2 201937
3 201922
4 201919
5 202016
6 201913
7 200813
8 202112
9 200810
10 202210
11 202010
12 20199
13 20088
14 20188
15 20167
16 20067
17 20207
18 20066
19 20096
20 20216

About Ping Guo

Ping Guo is a scholar working on Molecular Biology, Mechanical Engineering, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 67 papers that have together received 357 indexed citations. Recurring topics across this work include DNA and Biological Computing (30 papers), Advanced biosensing and bioanalysis techniques (22 papers), Modular Robots and Swarm Intelligence (18 papers), Vehicle Routing Optimization Methods (5 papers), Data Management and Algorithms (4 papers), Educational Technology and Assessment (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Cellular Automata and Applications (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (37 citations), Computational Theory and Mathematics (50 citations), Mechanical Engineering (109 citations), Artificial Intelligence (81 citations) and Molecular Biology (142 citations). Ping Guo has collaborated with scholars based in China, Vietnam and Tunisia. Frequent co-authors include Lin Zhu, Wenkai Liu, Yanxia Wang, Haiyan Zhang, Haifeng Yu, Jing Chen, Ran Liu, Jingyi Wang, Haiyan Zhang and Jiaqi Gu. Their work appears in journals such as IEEE Access, Computational Intelligence and Neuroscience, Applied Sciences, Optik and Information Sciences.

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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