Peng Dai

771 total citations
22 papers, 528 citations indexed

About

Peng Dai is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peng Dai has authored 22 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Civil and Structural Engineering, 8 papers in Mechanical Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peng Dai's work include Infrastructure Maintenance and Monitoring (8 papers), Vehicle License Plate Recognition (6 papers) and Railway Engineering and Dynamics (6 papers). Peng Dai is often cited by papers focused on Infrastructure Maintenance and Monitoring (8 papers), Vehicle License Plate Recognition (6 papers) and Railway Engineering and Dynamics (6 papers). Peng Dai collaborates with scholars based in China, United States and Belgium. Peng Dai's co-authors include Shengchun Wang, Chao Huang, Liefeng Bo, Xinyu Du, Magd Abdel Wahab, Yunlai Zhou, Xiyue Zhang, Yu Zheng, Yong Xu and Junbo Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Peng Dai

17 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Dai China 10 171 147 141 104 93 22 528
Xinxin Yan China 11 92 0.5× 68 0.5× 39 0.3× 83 0.8× 74 0.8× 19 374
Guiping Wang China 15 56 0.3× 71 0.5× 190 1.3× 88 0.8× 29 0.3× 41 663
Arman Malekloo Türkiye 6 90 0.5× 167 1.1× 262 1.9× 59 0.6× 21 0.2× 6 665
Xili Wan China 12 51 0.3× 76 0.5× 41 0.3× 58 0.6× 72 0.8× 38 660
Gabriel Michau Switzerland 11 136 0.8× 38 0.3× 54 0.4× 292 2.8× 51 0.5× 21 511
Jin Huang China 15 107 0.6× 34 0.2× 178 1.3× 245 2.4× 37 0.4× 61 733
Jiang Liu China 11 101 0.6× 70 0.5× 63 0.4× 60 0.6× 18 0.2× 91 513
Jian Miao China 12 203 1.2× 35 0.2× 110 0.8× 234 2.3× 12 0.1× 32 614
Hye-Won Lee South Korea 16 109 0.6× 22 0.1× 50 0.4× 180 1.7× 49 0.5× 53 796
Sifa Zheng China 13 52 0.3× 41 0.3× 54 0.4× 178 1.7× 27 0.3× 61 481

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

20 of 20 papers shown
1.
2.
Dai, Peng, et al.. (2025). Key technologies of China high-speed comprehensive inspection train: CIT450. SHILAP Revista de lepidopterología. 33(3). 414–440.
3.
4.
Wang, Fan, et al.. (2022). Ensemble model for rail surface defects detection. PLoS ONE. 17(5). e0268518–e0268518. 18 indexed citations
5.
Dai, Peng, et al.. (2022). Feature Augmentation Based on Pixel-Wise Attention for Rail Defect Detection. Applied Sciences. 12(16). 8006–8006. 1 indexed citations
6.
Zhang, Xiyue, Chao Huang, Yong Xu, et al.. (2021). Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. Proceedings of the AAAI Conference on Artificial Intelligence. 35(17). 15008–15015. 142 indexed citations
7.
Zhou, Ping, Shuai Zhang, & Peng Dai. (2020). Recursive Learning-Based Bilinear Subspace Identification for Online Modeling and Predictive Control of a Complicated Industrial Process. IEEE Access. 8. 62531–62541. 10 indexed citations
8.
Yu, Jiahui, et al.. (2020). Robust Bacterial Foraging Algorithms Based on Few-excellent-individuals Guidance Strategy. Sensors and Materials. 32(4). 1311–1311. 1 indexed citations
9.
Wang, Shengchun, et al.. (2020). Automatic laser profile recognition and fast tracking for structured light measurement using deep learning and template matching. Measurement. 169. 108362–108362. 134 indexed citations
10.
Huang, Yaping, Qi Zou, Mei Tian, et al.. (2019). Learning Visual Similarity for Inspecting Defective Railway Fasteners. IEEE Sensors Journal. 19(16). 6844–6857. 67 indexed citations
11.
Dai, Peng, et al.. (2019). Grid Deformation Real-Time Measurement System of Ion Thruster Based on Videometrics. Applied Sciences. 9(9). 1759–1759. 5 indexed citations
12.
Huang, Chao, Chuxu Zhang, Peng Dai, & Liefeng Bo. (2019). Deep Dynamic Fusion Network for Traffic Accident Forecasting. 2673–2681. 25 indexed citations
13.
Li, Qingyong, et al.. (2019). An End-to-End Abnormal Fastener Detection Method Based on Data Synthesis. 149–156. 7 indexed citations
14.
Dai, Peng, et al.. (2018). Rail fastener automatic recognition method in complex background. 314–314. 12 indexed citations
15.
Zhou, Ping, et al.. (2017). Data‐driven recursive subspace identification based online modelling for prediction and control of molten iron quality in blast furnace ironmaking. IET Control Theory and Applications. 11(14). 2343–2351. 38 indexed citations
16.
Li, Qingyong, Zhiping Shi, Huayan Zhang, et al.. (2017). A cyber-enabled visual inspection system for rail corrugation. Future Generation Computer Systems. 79. 374–382. 42 indexed citations
17.
Li, Qingyong, et al.. (2016). A Visual Inspection System for Rail Corrugation Based on Local Frequency Features. 18–23. 14 indexed citations
18.
Wang, Mingjiang, et al.. (2012). A matress system for human biosignals monitoring. 13. 1–5. 1 indexed citations
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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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