Guohao Peng

803 citations
32 papers · 464 indexed · h-index 11
Topics
Robotics and Sensor-Based Localization (21 papers)Advanced Image and Video Retrieval Techniques (9 papers)Indoor and Outdoor Localization Technologies (7 papers)
Partner nations
SingaporeChina

In The Last Decade

Guohao Peng

28 papers receiving 456 citations

Peers

Guohao Peng
Comparison fields: 5 of 51
  • Aerospace Engineering 244
  • Computer Vision and Pattern Recognition 217
  • Artificial Intelligence 158
  • Electrical and Electronic Engineering 78
  • Control and Systems Engineering 44
Replace Vladimír Kubelka with:
Vladimír Kubelka Czechia
Piotr Rudol Sweden
Weichao Qiu United States
Pedro Porto Buarque de Gusmão United Kingdom
Fangwei Zhong China
Tisheng Zhang China
Eduard Trulls Switzerland
Xuesong Shi China
Jonas Callmer Sweden
Michael Barjenbruch Germany
Guohao Peng relative to Vladimír Kubelka Czechia Vladimír Kubelka's profile →
Citations per field
00.5×3.1×
Vladimír Kubelka · 1×
Citations per year

Countries citing papers authored by Guohao Peng

Since Specialization
Citations

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

Fields of papers citing papers by Guohao Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohao Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Guohao Peng. A scholar is included among the top collaborators of Guohao 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 Guohao Peng. Guohao 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
#WorkIndexed citations
1 1
2 1
3 0
4 8
5 0
6 1
7 3
8 1
9 2
10 1
11 52
12 19
13 14
14 9
15 39
16 11
17 11
18 15
19 4
20 6

About Guohao Peng

Guohao Peng is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Instrumentation, having authored 32 papers that have together received 464 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (21 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Indoor and Outdoor Localization Technologies (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (217 citations), Aerospace Engineering (244 citations) and Geology (33 citations). Guohao Peng has collaborated with scholars based in Singapore and China. Frequent co-authors include Keck Voon Ling, Xin Sun, Zhenning Yang, Chi Zhang, Zhenyu Wu, Danwei Wang, Danwei Wang, Jun Zhang, Mingxing Wen and Yiyao Liu. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics and Briefings in Bioinformatics.

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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