Haodong Lu

598 total citations
27 papers, 446 citations indexed

About

Haodong Lu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Haodong Lu has authored 27 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 11 papers in Electrical and Electronic Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Haodong Lu's work include IoT and Edge/Fog Computing (9 papers), Advanced Memory and Neural Computing (7 papers) and Age of Information Optimization (6 papers). Haodong Lu is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Advanced Memory and Neural Computing (7 papers) and Age of Information Optimization (6 papers). Haodong Lu collaborates with scholars based in China, United States and Hong Kong. Haodong Lu's co-authors include Kun Wang, Xiaoming He, Miao Du, Yanfei Sun, Yingchi Mao, Xiukai Ruan, Song Guo, Minyi Guo, Li Li and Huawei Huang and has published in prestigious journals such as Applied Physics Letters, Computer and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Haodong Lu

23 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haodong Lu China 8 280 141 117 101 91 27 446
Peiyuan Guan China 12 300 1.1× 95 0.7× 117 1.0× 80 0.8× 68 0.7× 27 481
Yinzhi Lu China 12 322 1.1× 88 0.6× 198 1.7× 73 0.7× 60 0.7× 13 515
Hongchang Ke China 10 305 1.1× 83 0.6× 160 1.4× 87 0.9× 116 1.3× 26 452
Peng Lin China 13 410 1.5× 68 0.5× 206 1.8× 113 1.1× 77 0.8× 42 541
Kaige Qu Canada 10 397 1.4× 164 1.2× 256 2.2× 65 0.6× 52 0.6× 28 632
Fei Luo China 11 353 1.3× 88 0.6× 92 0.8× 209 2.1× 75 0.8× 53 500
Rong Du China 11 215 0.8× 103 0.7× 142 1.2× 134 1.3× 68 0.7× 31 441
Shihong Hu China 10 474 1.7× 85 0.6× 145 1.2× 213 2.1× 66 0.7× 17 594
Weichao Ding China 11 337 1.2× 77 0.5× 86 0.7× 186 1.8× 113 1.2× 36 474

Countries citing papers authored by Haodong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Haodong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haodong Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Haodong Lu. A scholar is included among the top collaborators of Haodong Lu 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 Haodong Lu. Haodong Lu 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.
2.
Zhou, Xilang, et al.. (2025). TaiChi: Efficient Execution for Multi-DNNs Using Graph-Based Scheduling. 1–7. 1 indexed citations
3.
4.
5.
Li, S. X., Xilang Zhou, Haodong Lu, & Kun Wang. (2024). DNNMapper: An Elastic Framework for Mapping DNNs to Multi-die FPGAs. 1–5. 2 indexed citations
6.
Lu, Haodong, et al.. (2024). TrafficHD: Efficient Hyperdimensional Computing for Real-Time Network Traffic Analytics. 1–6. 2 indexed citations
7.
Shi, Minjia, Haodong Lu, Jon-Lark Kim, & Patrick Solé. (2024). Triorthogonal codes and self-dual codes. Quantum Information Processing. 23(7). 2 indexed citations
8.
Zhou, Xilang, et al.. (2024). PipeFuser: Building Flexible Pipeline Architecture for DNN Accelerators via Layer Fusion. 921–926. 4 indexed citations
9.
Lu, Haodong, Xiaoming He, & Dengyin Zhang. (2024). Security-Aware Task Offloading Using Deep Reinforcement Learning in Mobile Edge Computing Systems. Electronics. 13(15). 2933–2933. 5 indexed citations
10.
Lu, Haodong, Qichang Mei, & Kun Wang. (2023). Auto-LUT: Auto Approximation of Non-Linear Operations for Neural Networks on FPGA. 1–5. 4 indexed citations
11.
Lu, Haodong, Qichang Mei, & Kun Wang. (2023). An Efficient Piecewise Linear Approximation of Non-linear Operations for Transformer Inference. 206–206. 3 indexed citations
12.
Lu, Haodong, Miao Du, Xiaoming He, et al.. (2021). An Adaptive Neural Architecture Search Design for Collaborative Edge-Cloud Computing. IEEE Network. 35(5). 83–89. 9 indexed citations
13.
Guo, Song, Haodong Lu, Li Li, et al.. (2021). A Comprehensive Inspection of the Straggler Problem. Computer. 54(10). 4–5. 3 indexed citations
14.
Lu, Haodong & Kun Wang. (2021). Distributed Machine Learning based Mitigating Straggler in Big Data Environment. 1–6. 2 indexed citations
15.
Guo, Song, Haodong Lu, Li Li, et al.. (2020). Falcon: Addressing Stragglers in Heterogeneous Parameter Server Via Multiple Parallelism. IEEE Transactions on Computers. 70(1). 139–155. 27 indexed citations
16.
Wang, Kun, et al.. (2020). Canary: Decentralized Distributed Deep Learning Via Gradient Sketch and Partition in Multi-Interface Networks. IEEE Transactions on Parallel and Distributed Systems. 32(4). 900–917. 6 indexed citations
17.
He, Xiaoming, Haodong Lu, Yingchi Mao, & Kun Wang. (2020). QoE-driven Task Offloading with Deep Reinforcement Learning in Edge intelligent IoV. 1–6. 5 indexed citations
18.
Lu, Haodong, Xiaoming He, Miao Du, et al.. (2020). Edge QoE: Computation Offloading With Deep Reinforcement Learning for Internet of Things. IEEE Internet of Things Journal. 7(10). 9255–9265. 138 indexed citations
19.
He, Xiaoming, Haodong Lu, Miao Du, Yingchi Mao, & Kun Wang. (2020). QoE-Based Task Offloading With Deep Reinforcement Learning in Edge-Enabled Internet of Vehicles. IEEE Transactions on Intelligent Transportation Systems. 22(4). 2252–2261. 97 indexed citations
20.
He, Xiaoming, Kun Wang, Haodong Lu, Wenyao Xu, & Song Guo. (2020). Edge QoE: Intelligent Big Data Caching via Deep Reinforcement Learning. IEEE Network. 34(4). 8–13. 12 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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