Li Dong

1.4k total citations · 1 hit paper
57 papers, 933 citations indexed

About

Li Dong is a scholar working on Computer Networks and Communications, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Li Dong has authored 57 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 12 papers in Aerospace Engineering and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Li Dong's work include Geophysical and Geoelectrical Methods (10 papers), Geophysical Methods and Applications (8 papers) and UAV Applications and Optimization (7 papers). Li Dong is often cited by papers focused on Geophysical and Geoelectrical Methods (10 papers), Geophysical Methods and Applications (8 papers) and UAV Applications and Optimization (7 papers). Li Dong collaborates with scholars based in China, United Kingdom and Singapore. Li Dong's co-authors include Feibo Jiang, Kezhi Wang, Kun Yang, Cunhua Pan, Wei Xu, Qianwei Dai, Yubo Peng, Jiming Liu, Zhibin Liu and Say Wei Foo and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Trends in Cell Biology and Expert Systems with Applications.

In The Last Decade

Li Dong

54 papers receiving 915 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. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Dong China 17 350 232 218 196 167 57 933
Feibo Jiang China 14 313 0.9× 214 0.9× 184 0.8× 169 0.9× 118 0.7× 34 742
Vittorio Rampa Italy 16 383 1.1× 148 0.6× 711 3.3× 410 2.1× 148 0.9× 74 1.2k
Yuan Yang China 18 345 1.0× 195 0.8× 446 2.0× 375 1.9× 202 1.2× 114 1.3k
Grigorios Koulouras Greece 12 455 1.3× 30 0.1× 337 1.5× 227 1.2× 62 0.4× 26 1.1k
Yongquan Liang China 14 221 0.6× 51 0.2× 187 0.9× 447 2.3× 98 0.6× 96 925
Xiaohui Wei China 14 353 1.0× 43 0.2× 251 1.2× 116 0.6× 246 1.5× 82 914
M.R. Ito Canada 14 195 0.6× 306 1.3× 89 0.4× 150 0.8× 80 0.5× 99 904
Tareq M. Shami United Kingdom 10 157 0.4× 107 0.5× 307 1.4× 281 1.4× 105 0.6× 20 952
Chunping Wang China 16 106 0.3× 303 1.3× 215 1.0× 218 1.1× 225 1.3× 77 890
Valentin Polishchuk United States 16 178 0.5× 424 1.8× 119 0.5× 69 0.4× 160 1.0× 102 864

Countries citing papers authored by Li Dong

Since Specialization
Citations

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

Fields of papers citing papers by Li Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Li Dong. A scholar is included among the top collaborators of Li Dong 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 Li Dong. Li Dong 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.
Wu, Jie, et al.. (2025). Deep reinforcement learning-based influence maximization for heterogeneous hypergraphs. Physica A Statistical Mechanics and its Applications. 660. 130361–130361. 1 indexed citations
2.
Li, Xiaolong, Haidong Wang, Li Dong, et al.. (2025). Toward Intelligent Transportation With Pedestrians and Vehicles In-the-Loop: A Surveillance Video-Assisted Federated Digital Twin Framework. IEEE Network. 39(6). 305–315. 2 indexed citations
3.
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
4.
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
5.
Dong, Li, et al.. (2025). Current and future perspectives of lysine lactylation in cancer. Trends in Cell Biology. 35(3). 190–193. 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.
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
8.
Dong, Li, et al.. (2022). The impact of artificial intelligence industry agglomeration on economic complexity. Economic Research-Ekonomska Istraživanja. 36(1). 1420–1448. 18 indexed citations
9.
Feng, Bing, et al.. (2020). Resistivity-depth Imaging with the Airborne Transient Electromagnetic Method Based on an Artificial Neural Network. Journal of Environmental and Engineering Geophysics. 25(3). 355–368. 15 indexed citations
10.
Li, Lijuan, Li Dong, Jinbo Xie, et al.. (2019). The introduction of FGOALS-g model and the experiment design in CMIP6. Advances in Climate Change Research. 15(5). 551. 5 indexed citations
11.
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
12.
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
13.
Dong, Li, et al.. (2018). Coded Light Based Extensible Optical Tracking System. 61. 439–445. 1 indexed citations
14.
Shao, Kun, et al.. (2016). Review of deep reinforcement learning and discussions on the development of computer Go. 33(6). 701–717. 37 indexed citations
15.
Li, Bing & Li Dong. (2015). Studies on fire-induced vibration of full-scale continuous panels using Hilbert transform. Engineering review. 35(1). 1–8. 2 indexed citations
16.
Cheng, Wei, et al.. (2015). An improved routing scheme for wireless sensor networks with Hybrid Energy Storage System. 151–154. 3 indexed citations
17.
Ding, Xiaoli, Chang Liu, Jun Zhu, & Li Dong. (2014). Lagrangian relaxation algorithms for hybrid flow-shop with earliness/tardiness scheduling problems. 1257–1260.
18.
Dong, Li. (2012). A Speed-based Routing Protocol Improvement on Vehicular Ad Hoc Networks in City Scenarios. 1 indexed citations
19.
Sun, Kai, et al.. (2011). A Novel Multicell Cooperative Scheduling Scheme. 1–4. 1 indexed citations
20.
Xie, Wuxiang, et al.. (2006). Reliable automated QT interval measurement for clinical evaluation. Computing in Cardiology Conference. 373–376. 5 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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