Da Guo

1.5k citations
62 papers · 1.0k · h-index 18

Impact in

Papers in

Da Guo

56 papers receiving 977 citations

Peers

Da Guo
Comparison fields: 5 of 113
  • Computer Networks and Communications 445
  • Signal Processing 151
  • Artificial Intelligence 353
  • Global and Planetary Change 181
  • Atmospheric Science 92
Replace Guillermo Barrenetxea with:
Guillermo Barrenetxea Switzerland
Peichang Zhang China
Lufeng Mo China
Vladimir Crnojević Serbia
Xing Jin China
Hongyuan Gao China
A. Christy India
Zhibo Chen China
Duy H. N. Nguyen United States
Jianhui Huang China
Da Guo relative to Guillermo Barrenetxea Switzerland Guillermo Barrenetxea's profile →
Citations per field
00.5×8.6×
Guillermo Barrenetxea · 1×
Citations per year

Countries citing papers authored by Da Guo

Since Specialization
Citations

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

Fields of papers citing papers by Da Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Da 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 Da Guo Line = papers co-authored together Da Guo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019131
2 2021100
3 201983
4 202259
5 202157
6 201647
7 202042
8 200241
9 201937
10 201832
11 202130
12 202229
13 202019
14 202119
15 202118
16 202118
17 202217
18 202117
19 201914
20 201713

About Da Guo

Da Guo is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Global and Planetary Change and Building and Construction, having authored 62 papers that have together received 1.0k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (8 papers), Network Security and Intrusion Detection (8 papers), Advanced MIMO Systems Optimization (8 papers), Anomaly Detection Techniques and Applications (7 papers), Traffic Prediction and Management Techniques (7 papers), Cooperative Communication and Network Coding (6 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Advanced Wireless Communication Technologies (4 papers). The work is most often cited by research in Computer Networks and Communications (445 citations), Signal Processing (151 citations), Artificial Intelligence (353 citations), Global and Planetary Change (181 citations) and Atmospheric Science (92 citations). Da Guo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yong Zhang, Yong Zhang, Xiaojuan Wang, Xiaoning Song, Ronghai Hu, Zhao Zhang, Xinming Zhu, Lei Jin, Yinglei Teng and Yanbin Hao. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, International Journal of Machine Learning and Cybernetics, IEEE Access and Science China 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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