Zipeng Dai

500 total citations
13 papers, 368 citations indexed

About

Zipeng Dai is a scholar working on Computer Science Applications, Transportation and Artificial Intelligence. According to data from OpenAlex, Zipeng Dai has authored 13 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Science Applications, 5 papers in Transportation and 4 papers in Artificial Intelligence. Recurrent topics in Zipeng Dai's work include Mobile Crowdsensing and Crowdsourcing (7 papers), Human Mobility and Location-Based Analysis (5 papers) and UAV Applications and Optimization (3 papers). Zipeng Dai is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (7 papers), Human Mobility and Location-Based Analysis (5 papers) and UAV Applications and Optimization (3 papers). Zipeng Dai collaborates with scholars based in China, United States and United Kingdom. Zipeng Dai's co-authors include Chi Harold Liu, Jian Tang, Guoren Wang, Kin K. Leung, Dapeng Wu, Yinuo Zhao, Jon Crowcroft, Rui Han, Ye Yuan and Hao Wang and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Computers.

In The Last Decade

Zipeng Dai

13 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zipeng Dai China 10 160 144 137 83 72 13 368
Yinuo Zhao China 7 140 0.9× 55 0.4× 81 0.6× 50 0.6× 87 1.2× 12 299
Yunfeng Guan China 11 116 0.7× 50 0.3× 149 1.1× 290 3.5× 85 1.2× 63 536
Yueyi Luo China 5 59 0.4× 48 0.3× 247 1.8× 102 1.2× 113 1.6× 8 357
Dian Shi China 11 90 0.6× 32 0.2× 200 1.5× 148 1.8× 256 3.6× 15 477
Liantao Wu China 12 130 0.8× 26 0.2× 177 1.3× 134 1.6× 165 2.3× 41 444
Dmitri I. Arkhipov United States 9 26 0.2× 53 0.4× 213 1.6× 106 1.3× 52 0.7× 15 381
Kai Lin China 10 70 0.4× 18 0.1× 102 0.7× 166 2.0× 57 0.8× 24 347
Asif Iqbal Baba United States 8 15 0.1× 68 0.5× 106 0.8× 77 0.9× 55 0.8× 20 348
Wuyungerile Li China 8 60 0.4× 29 0.2× 146 1.1× 162 2.0× 72 1.0× 40 318
Károly Farkas Hungary 11 72 0.5× 10 0.1× 264 1.9× 159 1.9× 41 0.6× 42 432

Countries citing papers authored by Zipeng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Zipeng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zipeng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Zipeng Dai. A scholar is included among the top collaborators of Zipeng Dai 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 Zipeng Dai. Zipeng Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Liu, Chi Harold, et al.. (2023). HiBid: A Cross-Channel Constrained Bidding System With Budget Allocation by Hierarchical Offline Deep Reinforcement Learning. IEEE Transactions on Computers. 73(3). 815–828. 1 indexed citations
2.
Ye, Yuxiao, et al.. (2023). QoI-Aware Mobile Crowdsensing for Metaverse by Multi-Agent Deep Reinforcement Learning. IEEE Journal on Selected Areas in Communications. 42(3). 783–798. 18 indexed citations
3.
Wang, Jianhong, Matthew E. Taylor, Tianpei Yang, et al.. (2023). Learning to Shape Rewards Using a Game of Two Partners. Proceedings of the AAAI Conference on Artificial Intelligence. 37(10). 11604–11612. 1 indexed citations
4.
Dai, Zipeng, Weixun Wang, Bin Wang, et al.. (2023). Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Transactions on Games. 16(2). 352–364. 4 indexed citations
5.
Ye, Yuxiao, Chi Harold Liu, Zipeng Dai, et al.. (2023). Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning. 205–217. 15 indexed citations
6.
Dai, Zipeng, Chi Harold Liu, Yuxiao Ye, et al.. (2022). AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. 1029–1038. 44 indexed citations
7.
Dai, Zipeng, Chi Harold Liu, Rui Han, et al.. (2021). Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning. IEEE Transactions on Mobile Computing. 22(4). 2038–2052. 58 indexed citations
8.
9.
Dai, Zipeng, Hao Wang, Chi Harold Liu, et al.. (2021). Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach. 1–10. 33 indexed citations
10.
Liu, Chi Harold, Chengzhe Piao, Zipeng Dai, et al.. (2020). Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM. IEEE Transactions on Knowledge and Data Engineering. 34(5). 2472–2484. 19 indexed citations
11.
Liu, Chi Harold, Yinuo Zhao, Zipeng Dai, et al.. (2020). Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach. 25–36. 20 indexed citations
12.
Liu, Chi Harold, et al.. (2020). Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach. 1123–1132. 41 indexed citations
13.
Liu, Chi Harold, Zipeng Dai, Yinuo Zhao, et al.. (2019). Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning. IEEE Transactions on Mobile Computing. 20(1). 130–146. 94 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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