Feibo Jiang

1.1k total citations · 1 hit paper
34 papers, 742 citations indexed

About

Feibo Jiang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Geophysics. According to data from OpenAlex, Feibo Jiang has authored 34 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 9 papers in Geophysics. Recurrent topics in Feibo Jiang's work include Geophysical and Geoelectrical Methods (9 papers), UAV Applications and Optimization (8 papers) and Geophysical Methods and Applications (7 papers). Feibo Jiang is often cited by papers focused on Geophysical and Geoelectrical Methods (9 papers), UAV Applications and Optimization (8 papers) and Geophysical Methods and Applications (7 papers). Feibo Jiang collaborates with scholars based in China, United Kingdom and Canada. Feibo Jiang's co-authors include Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Wei Xu, Qianwei Dai, Yubo Peng, Xiaohu You, Zhibin Liu and Minjie Wang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Communications Surveys & Tutorials and Expert Systems with Applications.

In The Last Decade

Feibo Jiang

32 papers receiving 728 citations

Hit Papers

Large AI Model-Based Semantic Communications 2024 2026 2025 2024 10 20 30 40
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Large AI Model-Based Semantic Communications
    2024 48 citations Feibo Jiang, Yubo Peng et al. IEEE Wireless Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Feibo Jiang China 14 313 214 184 169 118 34 742
Jayant Sharma India 18 222 0.7× 206 1.0× 246 1.3× 100 0.6× 70 0.6× 38 835
Nitin Sharma India 13 187 0.6× 165 0.8× 215 1.2× 61 0.4× 211 1.8× 54 603
G. Werner-Allen United States 5 1.2k 3.9× 39 0.2× 660 3.6× 128 0.8× 184 1.6× 7 1.4k
Liang Sun United States 15 258 0.8× 378 1.8× 150 0.8× 68 0.4× 241 2.0× 87 729
Lin Zhou China 14 219 0.7× 68 0.3× 349 1.9× 134 0.8× 83 0.7× 70 716
Raimondo Giuliani Italy 14 74 0.2× 101 0.5× 132 0.7× 215 1.3× 93 0.8× 30 469
Osamu Saotome Brazil 12 175 0.6× 79 0.4× 90 0.5× 174 1.0× 65 0.6× 83 485
Haejoon Jung South Korea 19 588 1.9× 469 2.2× 980 5.3× 92 0.5× 43 0.4× 162 1.4k
Bilal Khan Pakistan 14 472 1.5× 208 1.0× 323 1.8× 66 0.4× 42 0.4× 109 732

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-authorship network of co-authors of Feibo Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Feibo Jiang. A scholar is included among the top collaborators of Feibo Jiang 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 Feibo Jiang. Feibo Jiang 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
1.
Jiang, Feibo, et al.. (2026). From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications. IEEE Journal on Selected Areas in Communications. 44. 3507–3540. 1 indexed citations
2.
Jiang, Feibo, et al.. (2026). A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications, and Challenges. IEEE Communications Surveys & Tutorials. 28. 4731–4764.
3.
Jiang, Feibo, et al.. (2026). CommGPT: A Graph and Retrieval-Augmented Multimodal Communication Foundation Model. IEEE Communications Magazine. 64(3). 46–52. 1 indexed citations
4.
Jiang, Feibo, et al.. (2025). Large Generative Model-Assisted Talking-Face Semantic Communication System. IEEE Journal on Selected Areas in Communications. 43(12). 4152–4165. 1 indexed citations
5.
Jiang, Feibo, et al.. (2025). Visual Language Model-Based Cross-Modal Semantic Communication Systems. IEEE Transactions on Wireless Communications. 24(5). 3937–3948. 6 indexed citations
6.
Peng, Yubo, Feibo Jiang, Li Dong, Kezhi Wang, & Kun Yang. (2025). Personalized Federated Learning for GAI-Assisted Semantic Communications. IEEE Transactions on Cognitive Communications and Networking. 12. 2513–2525. 1 indexed citations
7.
Peng, Yubo, Luping Xiang, Kun Yang, et al.. (2025). SIMAC: A Semantic-Driven Integrated Multimodal Sensing and Communication Framework. IEEE Journal on Selected Areas in Communications. 44. 673–688. 1 indexed citations
8.
9.
Jiang, Feibo, Jin Zhang, Li Dong, et al.. (2025). M4SC: An MLLM-Based Multi-Modal, Multi-Task and Multi-User Semantic Communication System. IEEE Wireless Communications. 32(5). 40–47. 1 indexed citations
10.
Dong, Li, Feibo Jiang, & Yubo Peng. (2025). Attention-Based UAV Trajectory Optimization for Wireless Power Transfer-Assisted IoT Systems. IEEE Transactions on Industrial Electronics. 72(8). 8463–8471. 7 indexed citations
11.
Jiang, Feibo, Dong Li, Yubo Peng, et al.. (2024). Large AI Model Empowered Multimodal Semantic Communications. IEEE Communications Magazine. 63(1). 76–82. 39 indexed citations
12.
Dong, Li, Yubo Peng, Feibo Jiang, Kezhi Wang, & Kun Yang. (2024). Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillance. IEEE Transactions on Industrial Informatics. 20(12). 14053–14061. 4 indexed citations
13.
Wu, Mingzhu, Feibo Jiang, Junyan Liu, & Yubo Peng. (2022). Application of C1DAE-ANIL in End-to-End Communication of IRS-Assisted UAV System. IEEE Access. 10. 80703–80713. 1 indexed citations
14.
Dong, Li, Feibo Jiang, Xiaolong Li, & Mingzhu Wu. (2022). IRI: An intelligent resistivity inversion framework based on fuzzy wavelet neural network. Expert Systems with Applications. 202. 117066–117066. 4 indexed citations
15.
Dong, Li, Feibo Jiang, Minjie Wang, & Xiaolong Li. (2022). Fuzzy deep wavelet neural network with hybrid learning algorithm: Application to electrical resistivity imaging inversion. Knowledge-Based Systems. 242. 108164–108164. 16 indexed citations
16.
Jiang, Feibo, Li Dong, Kezhi Wang, Kun Yang, & Cunhua Pan. (2021). Distributed Resource Scheduling for Large-Scale MEC Systems: A Multiagent Ensemble Deep Reinforcement Learning With Imitation Acceleration. IEEE Internet of Things Journal. 9(9). 6597–6610. 58 indexed citations
17.
Jiang, Feibo, Li Dong, & Qianwei Dai. (2020). Electrical Resistivity Inversion Based on a Hybrid CCSFLA-MSVR Method. Neural Processing Letters. 51(3). 2871–2890. 4 indexed citations
18.
Jiang, Feibo, Kezhi Wang, Li Dong, et al.. (2020). AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment: Challenges and Solutions. IEEE Network. 35(1). 400–408. 78 indexed citations
19.
Jiang, Feibo, Kezhi Wang, Li Dong, et al.. (2019). Deep-Learning-Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks. IEEE Internet of Things Journal. 7(7). 6252–6265. 163 indexed citations
20.
Jiang, Feibo, Li Dong, & Qianwei Dai. (2018). Electrical resistivity imaging inversion: An ISFLA trained kernel principal component wavelet neural network approach. Neural Networks. 104. 114–123. 44 indexed citations

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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