Cheng Dai

1.4k total citations
74 papers, 979 citations indexed

About

Cheng Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Cheng Dai has authored 74 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Cheng Dai's work include Human Pose and Action Recognition (10 papers), Video Surveillance and Tracking Methods (7 papers) and Privacy-Preserving Technologies in Data (7 papers). Cheng Dai is often cited by papers focused on Human Pose and Action Recognition (10 papers), Video Surveillance and Tracking Methods (7 papers) and Privacy-Preserving Technologies in Data (7 papers). Cheng Dai collaborates with scholars based in China, Canada and Taiwan. Cheng Dai's co-authors include Xingang Liu, Jinfeng Lai, Z. Li, Jian Wang, Xi Chen, Qian Lei, Long‐Qing Chen, Laurence T. Yang, Han‐Chieh Chao and Pan Li and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nature Communications.

In The Last Decade

Cheng Dai

68 papers receiving 950 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Dai China 17 344 282 220 179 142 74 979
Zheng Liu China 13 506 1.5× 187 0.7× 85 0.4× 211 1.2× 337 2.4× 81 1.3k
Yong Gan China 22 321 0.9× 545 1.9× 218 1.0× 537 3.0× 183 1.3× 175 1.8k
Guoyun Zhang China 20 222 0.6× 332 1.2× 160 0.7× 247 1.4× 113 0.8× 85 1.4k
Song Liu China 19 93 0.3× 299 1.1× 112 0.5× 172 1.0× 519 3.7× 128 1.3k
Doo-Hyun Choi South Korea 19 299 0.9× 330 1.2× 98 0.4× 124 0.7× 145 1.0× 85 1.0k
S.K. Choi United States 17 180 0.5× 272 1.0× 53 0.2× 145 0.8× 124 0.9× 54 1.2k
Diego B. Haddad Brazil 20 176 0.5× 145 0.5× 53 0.2× 71 0.4× 110 0.8× 107 1.0k
Lu Liu China 25 420 1.2× 138 0.5× 107 0.5× 617 3.4× 77 0.5× 116 2.0k
Hao Du China 22 160 0.5× 445 1.6× 42 0.2× 305 1.7× 122 0.9× 109 1.5k
Wenlong Song China 17 78 0.2× 210 0.7× 299 1.4× 79 0.4× 159 1.1× 49 1.1k

Countries citing papers authored by Cheng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Dai. A scholar is included among the top collaborators of Cheng 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 Cheng Dai. Cheng Dai 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.
Dai, Cheng, et al.. (2025). Precision-Adaptive Task Offloading and Resource Allocation for Efficient Positioning and Sensing in Near-Field IoV Systems. IEEE Internet of Things Journal. 12(13). 22635–22646. 1 indexed citations
2.
Dai, Cheng, et al.. (2025). PSFL: Personalized Split Federated Learning Framework for Distributed Model Training in Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 26(9). 14110–14119. 1 indexed citations
3.
Dai, Cheng, Shijie Zhao, Rui Qian, et al.. (2025). Spatiotemporal evolution and risk thresholds of PM2.5 components in China from the human health perspective. Environmental Pollution. 373. 126194–126194. 1 indexed citations
4.
He, Deqiang, et al.. (2025). Advances in digital twinning for bearing fault diagnosis: a literature review. Measurement Science and Technology. 36(9). 92001–92001. 1 indexed citations
5.
Dai, Cheng, et al.. (2025). Clustered Federated Learning With Adaptive Pruning for 6G Edge-Intelligent Transportation. IEEE Transactions on Intelligent Transportation Systems. 26(10). 17790–17799. 2 indexed citations
6.
Chien, Wei-Che, et al.. (2025). Density-Clustering Aggregation for Personalized Federated Learning With AI-Enabled Aerial and Edge Computing in UAVs. IEEE Internet of Things Journal. 12(9). 11220–11232. 1 indexed citations
7.
Guo, B., et al.. (2024). Multi-step trend aware graph neural network for traffic flow forecasting. Big Data Research. 38. 100482–100482.
8.
Dai, Cheng, et al.. (2024). An Adaptive Rank-Based Tensor Ring Completion Model for Intelligent Transportation Systems. IEEE Transactions on Consumer Electronics. 70(1). 2235–2243. 10 indexed citations
9.
Lin, Hui, et al.. (2024). AEFL: Anonymous and Efficient Federated Learning in Vehicle–Road Cooperation Systems With Augmented Intelligence of Things. IEEE Internet of Things Journal. 11(22). 36157–36167. 2 indexed citations
10.
Qu, Long, et al.. (2024). Deep Reinforcement Learning‐Based Multireconfigurable Intelligent Surface for MEC Offloading. International Journal of Intelligent Systems. 2024(1). 1 indexed citations
11.
Dai, Cheng, et al.. (2024). Federated Self-Supervised Learning Based on Prototypes Clustering Contrastive Learning for Internet of Vehicles Applications. IEEE Internet of Things Journal. 12(5). 4692–4700. 2 indexed citations
12.
Zhu, Linyu, et al.. (2024). An Improved Reconstruction-Based Multiattribute Contrastive Learning for Digital-Twin-Enabled Industrial System. IEEE Internet of Things Journal. 12(4). 3670–3679. 3 indexed citations
13.
Dai, Cheng, et al.. (2023). A light-weight skeleton human action recognition model with knowledge distillation for edge intelligent surveillance applications. Applied Soft Computing. 151. 111166–111166. 12 indexed citations
14.
Dai, Cheng, et al.. (2023). A sparse attack method on skeleton-based human action recognition for intelligent metaverse application. Future Generation Computer Systems. 143. 51–60. 7 indexed citations
15.
16.
Dai, Cheng, et al.. (2021). Subtle changes of the crystalline lens after cycloplegia: a retrospective study. BMC Ophthalmology. 21(1). 6 indexed citations
17.
Dai, Cheng, et al.. (2020). Video Scene Segmentation Using Tensor-Train Faster-RCNN for Multimedia IoT Systems. IEEE Internet of Things Journal. 8(12). 9697–9705. 24 indexed citations
18.
Dai, Cheng, et al.. (2019). Intelligent Ammeter Reading Recognition Method Based on Deep Learning. 25–29. 7 indexed citations
19.
Dai, Cheng. (2006). THREE-DIMENSIONAL SIMULATION OF THE CONDENSING FLOW IN THE WET STEAM STAGES OF A STEAM TURBIN. Journal of Engineering Thermophysics.
20.
Meek, J.L. & Cheng Dai. (1991). Development of the fundamental BEM solution for half space-near surface excavations. Computational Mechanics. 1173–1178. 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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