Zhe Dai

655 total citations
29 papers, 398 citations indexed

About

Zhe Dai is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Civil and Structural Engineering. According to data from OpenAlex, Zhe Dai has authored 29 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 5 papers in Automotive Engineering and 5 papers in Civil and Structural Engineering. Recurrent topics in Zhe Dai's work include Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (6 papers) and Transportation Planning and Optimization (5 papers). Zhe Dai is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (6 papers) and Transportation Planning and Optimization (5 papers). Zhe Dai collaborates with scholars based in China, Australia and South Korea. Zhe Dai's co-authors include Huansheng Song, Haoxiang Liang, Huaiyu Li, Xu Yun, Xuan Wang, Yong Fang, Chen Zuo, Zhengchao Xu, Shi Dong and Jindong Xu and has published in prestigious journals such as Expert Systems with Applications, Sensors and Information Sciences.

In The Last Decade

Zhe Dai

22 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhe Dai China	6	240	101	98	61	42	29	398
Xu Yun China	6	251 1.0×	108 1.1×	94 1.0×	83 1.4×	23 0.5×	19	377
Yalong Ma China	7	282 1.2×	73 0.7×	56 0.6×	32 0.5×	26 0.6×	13	416
Deepak Kumar Dewangan India	13	262 1.1×	146 1.4×	82 0.8×	63 1.0×	24 0.6×	28	500
Bogdan Tomoyuki Nassu Brazil	9	220 0.9×	104 1.0×	121 1.2×	37 0.6×	44 1.0×	22	426
Huaiyu Li China	5	300 1.3×	113 1.1×	101 1.0×	83 1.4×	14 0.3×	7	415
Roman Juránek Czechia	10	356 1.5×	116 1.1×	122 1.2×	48 0.8×	40 1.0×	28	471
Miguel Ángel García-Garrido Spain	9	354 1.5×	114 1.1×	119 1.2×	28 0.5×	98 2.3×	15	489
Jun‐Wei Hsieh Taiwan	12	545 2.3×	123 1.2×	151 1.5×	68 1.1×	53 1.3×	40	648
Neeraj K. Kanhere United States	11	335 1.4×	155 1.5×	42 0.4×	73 1.2×	73 1.7×	18	452
Norbert Buch United Kingdom	6	441 1.8×	188 1.9×	88 0.9×	123 2.0×	59 1.4×	8	619

Countries citing papers authored by Zhe Dai

Since Specialization

Citations

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

Fields of papers citing papers by Zhe Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhe Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhe Dai. A scholar is included among the top collaborators of Zhe 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 Zhe Dai. Zhe 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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20 of 20 papers shown

Dai, Zhe, et al.. (2025). High-speed rail impacts on intercity accessibility: A multi-modal, multi-scalar networking approach. Transportation Research Part C Emerging Technologies. 171. 105006–105006.

Ji, Ang, Duanshu Li, Zhe Dai, et al.. (2025). A hybrid graph memory network approach with multi-level feature representation for traffic flow forecast. Expert Systems with Applications. 300. 130316–130316.

Song, Yongchao, Xuan Wang, Zhaowei Liu, et al.. (2025). Lane Detection for Autonomous Driving: Comprehensive Reviews, Current Challenges, and Future Predictions. IEEE Transactions on Intelligent Transportation Systems. 26(5). 5710–5746. 2 indexed citations

Yu, Bo, et al.. (2025). Meta-MSCC: A foundation model for adaptive CAV control in highway weaving segments. Transportation Research Part C Emerging Technologies. 181. 105397–105397.

Wang, Xuan, Xin Jin, Zhe Dai, Yuxuan Wu, & Abdellah Chehri. (2025). Deep Learning-Based Methods for Road Extraction From Remote Sensing Images: A vision, survey, and future directions. IEEE Geoscience and Remote Sensing Magazine. 13(1). 55–78. 6 indexed citations

Ji, Ang, Zhuo Liu, Lei Su, & Zhe Dai. (2025). A hybrid framework for spatio-temporal traffic flow prediction with multi-scale feature extraction. Information Sciences. 716. 122259–122259. 2 indexed citations

Cui, Mengying, et al.. (2025). Metro ridership recoverability and the built environment: Exploring station-level non-linear impacts. Transportation Research Part D Transport and Environment. 147. 104852–104852.

Dai, Zhe, et al.. (2025). VRAR: Video-Radar Automatic Registration Method Based on Trajectory Spatiotemporal Features and Bidirectional Mapping. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 8707–8722.

Cui, Mengying, et al.. (2024). How do access and spatial dependency shape metro passenger flows. Journal of Transport Geography. 123. 104069–104069. 1 indexed citations

10.

Cui, Hua, et al.. (2024). RVIFNet: Radar–Visual Information Fusion Network for All-Weather Vehicle Perception in Roadside Monitoring Scenarios. IEEE Sensors Journal. 24(23). 40105–40122. 1 indexed citations

11.

Li, Jinming, et al.. (2024). A Vision–Language Model-Based Traffic Sign Detection Method for High-Resolution Drone Images: A Case Study in Guyuan, China. Sensors. 24(17). 5800–5800. 4 indexed citations

12.

Kong, Li, Zhe Dai, Xuan Wang, Yongchao Song, & Gwanggil Jeon. (2024). GAN-Based Controllable Image Data Augmentation in Low-Visibility Conditions for Improved Roadside Traffic Perception. IEEE Transactions on Consumer Electronics. 70(3). 6174–6188. 5 indexed citations

13.

Xu, Zhengchao, Zhe Dai, Zhaoyun Sun, et al.. (2023). Enhancing Pavement Distress Detection Using a Morphological Constraints-Based Data Augmentation Method. Coatings. 13(4). 764–764. 5 indexed citations

14.

Zuo, Chen, Li Zhuo, Zhe Dai, Xuan Wang, & Yue Wang. (2023). A Pattern Classification Distribution Method for Geostatistical Modeling Evaluation and Uncertainty Quantification. Remote Sensing. 15(11). 2708–2708. 2 indexed citations

15.

Xu, Jindong, et al.. (2023). A multiscale bidirectional fuzzy-driven learning network for remote sensing image segmentation. International Journal of Remote Sensing. 44(21). 6860–6881. 5 indexed citations

16.

Song, Huansheng, et al.. (2021). Multi‐camera traffic scene mosaic based on camera calibration. IET Computer Vision. 15(1). 47–59. 4 indexed citations

17.

Liang, Haoxiang, Huansheng Song, Huaiyu Li, & Zhe Dai. (2020). Vehicle Counting System using Deep Learning and Multi-Object Tracking Methods. Transportation Research Record Journal of the Transportation Research Board. 2674(4). 114–128. 30 indexed citations

18.

Dai, Zhe, et al.. (2020). Traffic parameter estimation and control system based on machine vision. Journal of Ambient Intelligence and Humanized Computing. 14(11). 15287–15299. 15 indexed citations

19.

Song, Huansheng, Haoxiang Liang, Huaiyu Li, Zhe Dai, & Xu Yun. (2019). Vision-based vehicle detection and counting system using deep learning in highway scenes. European Transport Research Review. 11(1). 245 indexed citations

20.

Song, Huansheng, et al.. (2019). 3D vehicle model-based PTZ camera auto-calibration for smart global village. Sustainable Cities and Society. 46. 101401–101401. 10 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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