Da Guo

1.5k citations
68 papers · 1.1k · h-index 18

Impact in

Papers in

Da Guo

61 papers receiving 1.1k citations

Peers

Da Guo
Comparison fields: 5 of 116
  • Computer Networks and Communications 494
  • Signal Processing 173
  • Artificial Intelligence 396
  • Global and Planetary Change 187
  • Atmospheric Science 96
Replace Vladimir Crnojević with:
Vladimir Crnojević Serbia
Guillermo Barrenetxea Switzerland
Lufeng Mo China
Peichang Zhang China
Jonathan Hill United States
A. Christy India
Xing Jin China
Arta Dilo Netherlands
Hongyuan Gao China
Zhibo Chen China
Da Guo relative to Vladimir Crnojević Serbia Vladimir Crnojević's profile →
Citations per field
00.5×4.6×
Vladimir Crnojević · 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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019150
2 2021106
3 201994
4 202266
5 202158
6 201648
7 201946
8 202042
9 200242
10 201835
11 202131
12 202230
13 202022
14 202121
15 202120
16 202120
17 202218
18 202117
19 201917
20 201914

About Da Guo

Da Guo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Global and Planetary Change and Building and Construction, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (11 papers), Remote Sensing in Agriculture (9 papers), Anomaly Detection Techniques and Applications (8 papers), Cooperative Communication and Network Coding (8 papers), Network Security and Intrusion Detection (8 papers), Traffic Prediction and Management Techniques (7 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Advanced Wireless Communication Technologies (5 papers). The work is most often cited by research in Computer Networks and Communications (494 citations), Signal Processing (173 citations), Artificial Intelligence (396 citations), Global and Planetary Change (187 citations) and Atmospheric Science (96 citations). Da Guo has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yong Zhang, Yong Zhang, Xiaojuan Wang, Xiaoning Song, Ronghai Hu, Shuohao Cai, Zhao Zhang, Lei Jin, Yinglei Teng and Xinming Zhu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, International Journal of Machine Learning and Cybernetics, China Communications and IEEE Access.

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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