Chengzhe Piao

905 total citations · 1 hit paper
12 papers, 656 citations indexed

About

Chengzhe Piao is a scholar working on Computer Networks and Communications, Endocrinology, Diabetes and Metabolism and Computer Science Applications. According to data from OpenAlex, Chengzhe Piao has authored 12 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Computer Science Applications. Recurrent topics in Chengzhe Piao's work include Mobile Crowdsensing and Crowdsourcing (3 papers), Diabetes Management and Research (3 papers) and Recommender Systems and Techniques (2 papers). Chengzhe Piao is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (3 papers), Diabetes Management and Research (3 papers) and Recommender Systems and Techniques (2 papers). Chengzhe Piao collaborates with scholars based in China, United Kingdom and United States. Chengzhe Piao's co-authors include Chi Harold Liu, Jian Tang, Zheyu Chen, Jie Xu, Guoren Wang, Ye Yuan, Pantelis Georgiou, Taiyu Zhu, Kezhi Li and Lei Kuang and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Knowledge and Data Engineering and Neural Networks.

In The Last Decade

Chengzhe Piao

12 papers receiving 649 citations

Hit Papers

align trajectories

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.

Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach

2018 470 citations Chi Harold Liu, Zheyu Chen et al. IEEE Journal on Selected Areas in Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chengzhe Piao China	8	425	310	258	113	89	12	656
Guosheng Huang China	13	141 0.3×	340 1.1×	179 0.7×	71 0.6×	139 1.6×	27	533
Fanzi Zeng China	10	109 0.3×	272 0.9×	207 0.8×	46 0.4×	135 1.5×	34	539
Dan Tao China	13	47 0.1×	305 1.0×	185 0.7×	93 0.8×	87 1.0×	67	552
Dianxiong Liu China	15	481 1.1×	494 1.6×	314 1.2×	87 0.8×	74 0.8×	39	720
Yingyou Wen China	14	59 0.1×	379 1.2×	256 1.0×	69 0.6×	149 1.7×	69	624
Yunfeng Guan China	11	50 0.1×	149 0.5×	290 1.1×	28 0.2×	85 1.0×	63	536
Kirill Krinkin Russia	10	108 0.3×	99 0.3×	82 0.3×	103 0.9×	77 0.9×	70	341
Xiangping Zhai China	10	245 0.6×	324 1.0×	394 1.5×	63 0.6×	61 0.7×	50	642

Countries citing papers authored by Chengzhe Piao

Since Specialization

Citations

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

Fields of papers citing papers by Chengzhe Piao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengzhe Piao

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

All Works

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12 of 12 papers shown

Piao, Chengzhe, Taiyu Zhu, Stephanie E Baldeweg, et al.. (2025). GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series. Neural Networks. 185. 107229–107229. 4 indexed citations

Piao, Chengzhe, Taiyu Zhu, Yu Wang, et al.. (2025). Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach. IEEE Journal of Biomedical and Health Informatics. 30(2). 839–852. 1 indexed citations

Zhu, Taiyu, et al.. (2024). Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge. IEEE Transactions on Biomedical Circuits and Systems. 18(2). 236–246. 29 indexed citations

Wang, Yu, Chi Harold Liu, Chengzhe Piao, et al.. (2022). Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 459–471. 9 indexed citations

Liu, Chi Harold, Chengzhe Piao, Xiaoxin Ma, et al.. (2021). Modeling Citywide Crowd Flows using Attentive Convolutional LSTM. 217–228. 20 indexed citations

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

Piao, Chengzhe, et al.. (2020). Modeling User Interests With Online Social Network Influence by Memory Augmented Sequence Learning. IEEE Transactions on Network Science and Engineering. 8(1). 541–554. 11 indexed citations

Liu, Chi Harold, Chengzhe Piao, & Jian Tang. (2020). Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning. 199–208. 49 indexed citations

Piao, Chengzhe & Chi Harold Liu. (2019). Energy-Efficient Mobile Crowdsensing by Unmanned Vehicles: A Sequential Deep Reinforcement Learning Approach. IEEE Internet of Things Journal. 7(7). 6312–6324. 40 indexed citations

10.

Liu, Chi Harold, Zheyu Chen, Jian Tang, Jie Xu, & Chengzhe Piao. (2018). Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach. IEEE Journal on Selected Areas in Communications. 36(9). 2059–2070. 470 indexed citations breakdown →

11.

Luan, Xi, Chengzhe Piao, Haige Xiang, Yuxin Cheng, & Jian Wu. (2015). Cooperative transmission based on multi-relay device-to-device communications in cellular networks. 5 .–5 .. 2 indexed citations

12.

Piao, Chengzhe, et al.. (2013). Dynamic K-Best Sphere Decoding Algorithms for MIMO Detection. Communications and Network. 5(3). 103–107. 2 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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