Hai Wang

5.2k total citations · 4 hit papers
217 papers, 3.4k citations indexed

About

Hai Wang is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Hai Wang has authored 217 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Computer Vision and Pattern Recognition, 64 papers in Automotive Engineering and 39 papers in Control and Systems Engineering. Recurrent topics in Hai Wang's work include Advanced Neural Network Applications (54 papers), Autonomous Vehicle Technology and Safety (54 papers) and Video Surveillance and Tracking Methods (38 papers). Hai Wang is often cited by papers focused on Advanced Neural Network Applications (54 papers), Autonomous Vehicle Technology and Safety (54 papers) and Video Surveillance and Tracking Methods (38 papers). Hai Wang collaborates with scholars based in China, United States and South Korea. Hai Wang's co-authors include Yingfeng Cai, Long Chen, Yicheng Li, Miguel Ángel Sotelo, Xiaobo Chen, Zhixiong Li, Hongbo Gao, Xiaoqiang Sun, Ze Liu and Lei Dai and has published in prestigious journals such as Applied Energy, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Hai Wang

195 papers receiving 3.3k citations

Hit Papers

YOLOv4-5D: An Effective and Efficient Object Detector for... 2021 2026 2022 2024 2021 2021 2022 2024 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hai Wang China 31 1.6k 836 498 431 392 217 3.4k
Dominique Gruyer France 25 1.7k 1.0× 1.9k 2.2× 730 1.5× 529 1.2× 656 1.7× 137 4.0k
Kunfeng Wang China 27 1.6k 1.0× 805 1.0× 550 1.1× 710 1.6× 189 0.5× 108 4.1k
Chao Huang China 35 1.1k 0.7× 1.7k 2.0× 405 0.8× 446 1.0× 688 1.8× 194 4.0k
Lingxi Li United States 31 632 0.4× 892 1.1× 388 0.8× 478 1.1× 204 0.5× 187 3.1k
Xinqiang Chen China 32 607 0.4× 400 0.5× 286 0.6× 279 0.6× 298 0.8× 133 3.3k
Bo Tang United States 29 927 0.6× 423 0.5× 530 1.1× 1.3k 3.0× 280 0.7× 129 3.5k
Fenghua Zhu China 26 573 0.4× 620 0.7× 428 0.9× 366 0.8× 171 0.4× 165 3.1k
Alireza Bab‐Hadiashar Australia 32 820 0.5× 609 0.7× 470 0.9× 724 1.7× 572 1.5× 171 3.1k
Moongu Jeon South Korea 35 1.7k 1.1× 409 0.5× 1.1k 2.2× 1.1k 2.5× 267 0.7× 222 4.2k
Junping Zhang China 29 2.5k 1.6× 312 0.4× 443 0.9× 882 2.0× 96 0.2× 115 5.1k

Countries citing papers authored by Hai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Wang. A scholar is included among the top collaborators of Hai Wang 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 Hai Wang. Hai Wang 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.
Cai, Yingfeng, et al.. (2025). A Preference-Based Multi-Agent Federated Reinforcement Learning Algorithm Framework for Trustworthy Interactive Urban Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 26(7). 10131–10145. 2 indexed citations
2.
Liu, Ze, et al.. (2024). Research on Active Trailer Steering Control Strategy of Tractor Semitrailer under Medium-/High-Speed Conditions. Actuators. 13(9). 360–360. 1 indexed citations
3.
Wang, Hai, et al.. (2024). Two-stage auxiliary drifting path tracking control for distributed driving three-axle commercial vehicles. ISA Transactions. 153. 404–419. 2 indexed citations
4.
Wang, Hai, et al.. (2024). A Distributed Driving Six-Wheel Steering Commercial Vehicle Chassis Stability Domain Criterion for Coordination of Multiple Subsystems. IEEE Transactions on Vehicular Technology. 73(12). 18512–18526. 1 indexed citations
5.
Wang, Hai, et al.. (2024). OccludedInst: An Efficient Instance Segmentation Network for Automatic Driving Occlusion Scenes. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(1). 253–270. 2 indexed citations
6.
Yang, Biao, et al.. (2024). A Multi-Task Learning Network With a Collision-Aware Graph Transformer for Traffic-Agents Trajectory Prediction. IEEE Transactions on Intelligent Transportation Systems. 25(7). 6677–6690. 48 indexed citations
7.
Wang, Hai, et al.. (2024). RTMDet-MGG: A Multi-Task Model With Global Guidance. IEEE Transactions on Intelligent Transportation Systems. 25(11). 16791–16804. 3 indexed citations
8.
Liu, Qingchao, et al.. (2024). Learning From Trajectories: How Heterogeneous CACC Platoons Affect the Traffic Flow in Highway Merging Area. IEEE Transactions on Vehicular Technology. 73(11). 16212–16224. 9 indexed citations
9.
Wang, Hai, et al.. (2024). ME-Seg&DLS-Net: A Dataset and a Network for Autonomous Driving Based on Multi-Element Semantic Segmentation of Pavement. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1539–1555.
10.
Cai, Yingfeng, et al.. (2024). An evaluation of Halogen, HID, and LED illumination intensities in projector and reflector headlights for safe nighttime driving environment. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 239(10-11). 5088–5102.
11.
Wang, Hai, et al.. (2024). YOLOv8-QSD: An Improved Small Object Detection Algorithm for Autonomous Vehicles Based on YOLOv8. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 87 indexed citations breakdown →
12.
Xu, Zeshui, et al.. (2023). Multi-criteria three-way decisions considering requirements and targets based on qualitative and quantitative information. Expert Systems with Applications. 224. 120039–120039. 12 indexed citations
13.
Wang, Hai, et al.. (2023). Road Traffic Sign Detection Method Based on RTS R-CNN Instance Segmentation Network. Sensors. 23(14). 6543–6543. 11 indexed citations
14.
Luo, Tong, et al.. (2023). IDS-MODEL: An Efficient Multitask Model of Road Scene Instance and Drivable Area Segmentation for Autonomous Driving. IEEE Transactions on Transportation Electrification. 10(1). 1454–1464. 8 indexed citations
16.
Wang, Hai, et al.. (2023). Monocular Road Scene Bird’s Eye View Prediction via Big Kernel-Size Encoder and Spatial-Channel Transform Module. IEEE Transactions on Intelligent Transportation Systems. 24(7). 7138–7148. 9 indexed citations
17.
Cai, Yingfeng, et al.. (2022). Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling. Journal of Advanced Transportation. 2022. 1–16. 9 indexed citations
18.
Liu, Ze, Yingfeng Cai, Hai Wang, & Long Chen. (2021). Surrounding Objects Detection and Tracking for Autonomous Driving Using LiDAR and Radar Fusion. Chinese Journal of Mechanical Engineering. 34(1). 20 indexed citations
19.
Cai, Yingfeng, Hai Wang, Xiaobo Chen, Li Gao, & Long Chen. (2016). Vehicle detection based on visual saliency and deep sparse convolution hierarchical model. Chinese Journal of Mechanical Engineering. 29(4). 765–772. 8 indexed citations
20.
Wang, Hai. (2006). Data Fusion of Multi-Target Tracking Based on FCM Algorithm in Wireless Sensor Networks. Beijing Youdian Xueyuan xuebao. 1 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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