Haotong Cao

3.5k total citations · 2 hit papers
156 papers, 2.5k citations indexed

About

Haotong Cao is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Haotong Cao has authored 156 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Electrical and Electronic Engineering, 100 papers in Computer Networks and Communications and 46 papers in Aerospace Engineering. Recurrent topics in Haotong Cao's work include Software-Defined Networks and 5G (61 papers), UAV Applications and Optimization (32 papers) and Advanced Optical Network Technologies (30 papers). Haotong Cao is often cited by papers focused on Software-Defined Networks and 5G (61 papers), UAV Applications and Optimization (32 papers) and Advanced Optical Network Technologies (30 papers). Haotong Cao collaborates with scholars based in China, Hong Kong and Canada. Haotong Cao's co-authors include Longxiang Yang, Zhicheng Qu, Gengxin Zhang, Jidong Xie, Hongbo Zhu, Yao Zhang, Meng Zhou, Shengchen Wu, Jianbo Du and Yue Hu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

Haotong Cao

146 papers receiving 2.4k citations

Hit Papers

LEO Satellite Constellation for Internet of Things 2017 2026 2020 2023 2017 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haotong Cao China 27 1.5k 1.4k 802 283 191 156 2.5k
Daniele Tarchi Italy 23 1.4k 0.9× 1.1k 0.8× 492 0.6× 221 0.8× 195 1.0× 152 1.9k
Qiang Fan United States 24 1.2k 0.8× 881 0.6× 278 0.3× 349 1.2× 259 1.4× 58 1.7k
Lav Gupta United States 13 1.8k 1.2× 1.0k 0.7× 1.5k 1.8× 281 1.0× 335 1.8× 31 2.7k
Haitao Xu China 18 919 0.6× 709 0.5× 534 0.7× 288 1.0× 205 1.1× 114 1.6k
Junhui Zhao China 26 1.4k 0.9× 1.6k 1.1× 388 0.5× 371 1.3× 430 2.3× 117 2.4k
Nguyen Cong Luong Singapore 10 1.1k 0.7× 906 0.6× 279 0.3× 315 1.1× 398 2.1× 13 1.8k
Qingyang Song China 25 1.5k 1.0× 1.4k 1.0× 259 0.3× 126 0.4× 99 0.5× 112 2.0k
Chengchao Liang China 19 2.2k 1.4× 1.3k 0.9× 195 0.2× 353 1.2× 246 1.3× 66 2.5k
Junjuan Xia China 34 1.5k 1.0× 1.7k 1.2× 538 0.7× 285 1.0× 530 2.8× 66 2.6k
Yaohua Sun China 18 1.2k 0.8× 1.2k 0.8× 353 0.4× 157 0.6× 263 1.4× 65 1.9k

Countries citing papers authored by Haotong Cao

Since Specialization
Citations

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

Fields of papers citing papers by Haotong Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haotong Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Haotong Cao. A scholar is included among the top collaborators of Haotong Cao 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 Haotong Cao. Haotong Cao 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.
Cao, Haotong, et al.. (2024). GCN-Based Multi-Agent Deep Reinforcement Learning for Dynamic Service Function Chain Deployment in IoT. IEEE Transactions on Consumer Electronics. 70(3). 6105–6118. 6 indexed citations
2.
Zhao, Haitao, et al.. (2024). Long-Term Energy Management Empowered Hierarchical Federated Learning for Smart Consumer Electronics. IEEE Transactions on Consumer Electronics. 70(1). 1155–1166. 6 indexed citations
4.
Tang, Xiao, Daosen Zhai, Ruonan Zhang, et al.. (2024). Energy-Efficient Deployment and Resource Allocation for O-RAN-Enabled UAV-Assisted Communication. IEEE Transactions on Green Communications and Networking. 8(3). 1128–1140. 3 indexed citations
5.
Du, Pengfei, et al.. (2024). AI-Based UAVs 3-D Coverage Deployment in 6G-Enabled IoV Networks for Industry 5.0. IEEE Transactions on Consumer Electronics. 71(2). 4221–4234. 1 indexed citations
6.
Du, Pengfei, et al.. (2024). AI-Enabled Trajectory Optimization of Logistics UAVs With Wind Impacts in Smart Cities. IEEE Transactions on Consumer Electronics. 70(1). 3885–3897. 37 indexed citations
7.
Cao, Haotong, Sahil Garg, Shahid Mumtaz, et al.. (2024). Softwarized Resource Allocation in Digital Twins-Empowered Networks for Future Quantum-Enabled Consumer Applications. IEEE Transactions on Consumer Electronics. 70(1). 800–810. 13 indexed citations
8.
Zhao, Haitao, et al.. (2023). Edge aggregation placement for semi-decentralized federated learning in Industrial Internet of Things. Future Generation Computer Systems. 150. 160–170. 7 indexed citations
10.
Du, Pengfei, et al.. (2023). 3-D Trajectory Optimization and Communication Resources Allocation in UAV-Assisted IoT Networks for Sustainable Industry 5.0. IEEE Transactions on Consumer Electronics. 70(1). 1423–1433. 16 indexed citations
12.
Du, Pengfei, et al.. (2023). AI-based energy-efficient path planning of multiple logistics UAVs in intelligent transportation systems. Computer Communications. 207. 46–55. 36 indexed citations
13.
Cao, Haotong, et al.. (2023). DGL-Routing: One Routing Optimization Model Based on Deep Graph Learning. 891–896. 2 indexed citations
14.
Cao, Haotong, Sahil Garg, Georges Kaddoum, Mubarak Alrashoud, & Longxiang Yang. (2023). Efficient Resource Allocation of Slicing Services in Softwarized Space-Aerial-Ground Integrated Networks for Seamless and Open Access Services. IEEE Transactions on Vehicular Technology. 73(7). 9284–9295. 17 indexed citations
15.
Cao, Haotong, et al.. (2023). Community Detection-Empowered Self-Adaptive Network Slicing in Multi-Tier Edge-Cloud System. IEEE Transactions on Network and Service Management. 21(3). 2624–2636. 2 indexed citations
16.
Cao, Haotong, et al.. (2023). MADDPG-empowered slice reconfiguration approach for 5G multi-tier system. Journal of Network and Computer Applications. 219. 103725–103725. 2 indexed citations
17.
Cao, Haotong, Sahil Garg, Georges Kaddoum, Mohammad Mehedi Hassan, & Salman A. AlQahtani. (2022). Intelligent Virtual Resource Allocation of QoS-Guaranteed Slices in B5G-Enabled VANETs for Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 23(10). 19704–19713. 16 indexed citations
18.
Zhai, Daosen, et al.. (2022). Energy-Saving Deployment Optimization and Resource Management for UAV-Assisted Wireless Sensor Networks With NOMA. IEEE Transactions on Vehicular Technology. 71(6). 6609–6623. 48 indexed citations
19.
Wang, Qin, Qin Wang, Haitao Zhao, et al.. (2019). Enabling secure wireless multimedia resource pricing using consortium blockchains. Future Generation Computer Systems. 110. 696–707. 6 indexed citations
20.
Cao, Haotong, Shengchen Wu, Yue Hu, et al.. (2019). An Efficient Energy Cost and Mapping Revenue Strategy for Interdomain NFV-Enabled Networks. IEEE Internet of Things Journal. 7(7). 5723–5736. 23 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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