Peng Dai

551 total citations
17 papers, 298 citations indexed

About

Peng Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Peng Dai has authored 17 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Peng Dai's work include Anomaly Detection Techniques and Applications (4 papers), Indoor and Outdoor Localization Technologies (2 papers) and Bacteriophages and microbial interactions (2 papers). Peng Dai is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Indoor and Outdoor Localization Technologies (2 papers) and Bacteriophages and microbial interactions (2 papers). Peng Dai collaborates with scholars based in China, United States and Hong Kong. Peng Dai's co-authors include Liefeng Bo, Chao Huang, Yong Xu, Lianghao Xia, Yanfang Ye, Hao Xing, Yanqing Chen, Jiahui Chen, Jiashu Zhao and Jimmy Xiangji Huang and has published in prestigious journals such as Food Chemistry, IEEE Access and Electronics Letters.

In The Last Decade

Peng Dai

15 papers receiving 288 citations

Peers

Countries citing papers authored by Peng Dai

Since Specialization

Citations

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

Fields of papers citing papers by Peng Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Dai

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Detection of High-Speed Railway Track Bed Foreign Object Based on Contrastive Learning and Adversarial Training 2025 ·(unknown), Peng Dai, (unknown), (unknown)	0
2	Characterization of vB_SaRS_FS19–1, a newly isolated broad-host-range and virulent bacteriophage infecting Staphylococcus aureus and its application in foods 2025 ·Food Chemistry ·(unknown), (unknown), (unknown), Peng Dai, (unknown), Yi Liu, (unknown), Ying-Qian Han, (unknown), He‐Ping Li, Hua Wu, Guoyu Yang, Yang Liu, Yueying Wang	1
3	Total-Decom: Decomposed 3D Scene Reconstruction with Minimal Interaction 2024 ·Xiaoyang Lyu, (unknown), Peng Dai, (unknown), Xiaojuan Qi	0
4	FRVO-Mono: Feature-Based Railway Visual Odometry With Monocular Camera 2023 ·IEEE Transactions on Instrumentation and Measurement ·Kaicong Huang, (unknown), (unknown), Liang Wang, Shengchun Wang, Peng Dai	5
5	EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph 2021 ·(unknown), Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo	25
6	Modeling and Optimization of Semantic Segmentation for Track Bed Foreign Object Based on Attention Mechanism 2021 ·IEEE Access ·(unknown), Shengchun Wang, (unknown), Peng Dai, Xinyu Du, (unknown)	12
7	Knowledge-aware Coupled Graph Neural Network for Social Recommendation 2021 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Chao Huang, (unknown), Yong Xu, Peng Dai, Lianghao Xia, (unknown), Liefeng Bo, Hao Xing, (unknown), Yanfang Ye	121
8	Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation 2021 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang	61
9	LRGAN: Visual anomaly detection using GAN with locality-preferred recoding 2021 ·Journal of Visual Communication and Image Representation ·Jianzhu Wang, Wei Huang, Shengchun Wang, Peng Dai, Qingyong Li	10
10	Real-time object detection based on R-FCN network under structured scene of high-speed railway 2020 ·(unknown), Shengchun Wang, (unknown), Peng Dai, (unknown)	1
11	One time‐step particle smoothing for radio range‐based indoor position tracking 2020 ·Electronics Letters ·Yuan Yang, Huaming Wu, Peng Dai, Bo Zhang	1
12	Generative Adversarial Attributed Network Anomaly Detection 2020 ·(unknown), Bo Liu, Meiqing Wang, Peng Dai, Jun Lv, Liefeng Bo	35
13	Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction 2020 ·Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo	16
14	A study on a virtual simulation experiment with DNA in a biological evidence technology course during the COVID-19 pandemic 2020 ·Journal of Forensic Science and Medicine ·(unknown), Chunfang Gao, Peng Dai, Zhuo Liu, (unknown), (unknown)	3
15	Visual Indexing of Large Scale Train-Borne Video for Rail Condition Perceiving 2017 ·IEICE Transactions on Information and Systems ·Peng Dai, Shengchun Wang, Yaping Huang, (unknown), Xinyu Du, (unknown)	2
16	A multiscale Markov random field model in wavelet domain for image segmentation 2017 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Peng Dai, (unknown), Shengchun Wang, Xinyu Du, Dan Wu	1
17	Railroad online: acquiring and visualizing route panoramas of rail scenes 2013 ·The Visual Computer ·Shengchun Wang, Siwei Luo, Yaping Huang, Jiang Yu Zheng, Peng Dai, (unknown)	4

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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