Feibo Jiang

1.1k citations
34 papers · 742 · 1 hit paper · h-index 14

Impact in

Papers in

Feibo Jiang

32 papers receiving 728 citations

Feibo Jiang's Hit Papers

Large AI Model-Based Semantic Communications 2024 · 48 citations
480+1Years since publication10203040

Peers

Feibo Jiang
Comparison fields: 5 of 71
  • Computer Networks and Communications 313
  • Aerospace Engineering 214
  • Geophysics 82
  • Computer Vision and Pattern Recognition 118
  • Ocean Engineering 88
Replace Nitin Sharma with:
Nitin Sharma India
Liang Sun United States
Xinyong Wang China
Ajit Kumar Sahoo India
Zhengguang Xu China
Haejoon Jung South Korea
Mete Özay Türkiye
Osamu Saotome Brazil
Bilal Khan Pakistan
Feibo Jiang relative to Nitin Sharma India Nitin Sharma's profile →
Citations per field
00.5×10×17×
Nitin Sharma · 1×
Citations per year

Countries citing papers authored by Feibo Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Feibo Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019163
2 202078
3 202158
4
Large AI Model-Based Semantic Communications
Hit paper breakdown →
202448
5 201844
6 202043
7 202242
8 202441
9 202439
10 202430
11 202324
12 201621
13 202216
14 201715
15 201613
16 201413
17 20249
18 20257
19 20247
20 20256

About Feibo Jiang

Feibo Jiang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Geophysics, Ocean Engineering and Aerospace Engineering, having authored 34 papers that have together received 742 indexed citations. Recurring topics across this work include Geophysical and Geoelectrical Methods (9 papers), UAV Applications and Optimization (8 papers), Geophysical Methods and Applications (7 papers), IoT and Edge/Fog Computing (6 papers), Advanced Wireless Communication Technologies (5 papers), Wireless Signal Modulation Classification (3 papers), Seismic Imaging and Inversion Techniques (3 papers) and Age of Information Optimization (3 papers). The work is most often cited by research in Computer Networks and Communications (313 citations), Aerospace Engineering (214 citations), Geophysics (82 citations), Computer Vision and Pattern Recognition (118 citations) and Ocean Engineering (88 citations). Feibo Jiang has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Wei Xu, Yubo Peng, Qianwei Dai, Xiaohu You, Zhibin Liu and Minjie Wang. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Journal on Selected Areas in Communications, IEEE Wireless Communications, Journal of Central South University 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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