Biao Yu

653 total citations
45 papers, 453 citations indexed

About

Biao Yu is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Biao Yu has authored 45 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Automotive Engineering, 16 papers in Computer Vision and Pattern Recognition and 15 papers in Control and Systems Engineering. Recurrent topics in Biao Yu's work include Autonomous Vehicle Technology and Safety (15 papers), Robotic Path Planning Algorithms (8 papers) and Remote Sensing and LiDAR Applications (7 papers). Biao Yu is often cited by papers focused on Autonomous Vehicle Technology and Safety (15 papers), Robotic Path Planning Algorithms (8 papers) and Remote Sensing and LiDAR Applications (7 papers). Biao Yu collaborates with scholars based in China, Canada and United States. Biao Yu's co-authors include Huawei Liang, Pan Zhao, Rulin Huang, Deyi Xue, Shaobo Wang, Qinwen Yang, Theodor Freiheit, Simon S. Park, Zhiling Wang and Xiaokun Zheng and has published in prestigious journals such as International Journal of Hydrogen Energy, Energy Conversion and Management and Sensors.

In The Last Decade

Biao Yu

42 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Biao Yu China	14	208	133	100	80	75	45	453
Yihuan Zhang China	11	257 1.2×	159 1.2×	113 1.1×	58 0.7×	128 1.7×	24	505
Keonyup Chu South Korea	8	302 1.5×	266 2.0×	158 1.6×	70 0.9×	20 0.3×	13	468
Yafu Zhou China	13	297 1.4×	129 1.0×	78 0.8×	217 2.7×	15 0.2×	51	513
Isaac Segovia Ramírez Spain	15	74 0.4×	58 0.4×	103 1.0×	117 1.5×	43 0.6×	36	536
Albert Yaw Appiah Ghana	8	59 0.3×	150 1.1×	102 1.0×	112 1.4×	11 0.1×	9	367
Frimpong Kyeremeh Ghana	9	61 0.3×	149 1.1×	101 1.0×	129 1.6×	11 0.1×	12	389
Paraskevi Zacharia Greece	13	47 0.2×	138 1.0×	144 1.4×	34 0.4×	26 0.3×	42	620
Ben Beklisi Kwame Ayawli Ghana	6	59 0.3×	158 1.2×	91 0.9×	105 1.3×	10 0.1×	12	354
Hongqing Chu China	12	329 1.6×	118 0.9×	234 2.3×	135 1.7×	8 0.1×	53	592
Hengrui Ma China	13	42 0.2×	90 0.7×	154 1.5×	389 4.9×	23 0.3×	65	709

Countries citing papers authored by Biao Yu

Since Specialization

Citations

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

Fields of papers citing papers by Biao Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biao Yu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fu, Haoqiang, et al.. (2025). The Prediction Method and Application of Off-Road Mobility for Ground Vehicles: A Review. World Electric Vehicle Journal. 16(1). 47–47.

Wang, Shaobo, et al.. (2025). A Fast Point Cloud Ground Segmentation Approach Based on Block-Sparsely Connected Coarse-to-Fine Markov Random Field. IEEE Robotics and Automation Letters. 10(4). 3843–3850.

Zheng, Xiaokun, et al.. (2025). S2*-ODM: Dual-Stage Improved PointPillar Feature-Based 3D Object Detection Method for Autonomous Driving. Sensors. 25(5). 1581–1581. 1 indexed citations

Wang, Jun, et al.. (2025). SRNeRF: Super-Resolution Neural Radiance Fields for Autonomous Driving Scenario Reconstruction from Sparse Views. World Electric Vehicle Journal. 16(2). 66–66.

Yu, Biao, et al.. (2024). CMGFA: A BEV Segmentation Model Based on Cross-Modal Group-Mix Attention Feature Aggregator. IEEE Robotics and Automation Letters. 9(12). 11497–11504. 1 indexed citations

Yu, Biao, et al.. (2024). Double Neural Networks Enhanced Global Mobility Prediction Model for Unmanned Ground Vehicles in Off-Road Environments. IEEE Transactions on Vehicular Technology. 73(6). 7547–7560. 5 indexed citations

Yu, Biao, et al.. (2024). IGE-LIO: Intensity Gradient Enhanced Tightly Coupled LiDAR-Inertial Odometry. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 7 indexed citations

Yu, Biao, et al.. (2023). Efficient and High-Fidelity Mobility Prediction for Unmanned Ground Vehicles Based on Gaussian Sampled Terrain and Enhanced Neural Network. IEEE Robotics and Automation Letters. 8(12). 8422–8429. 2 indexed citations

Dong, Xiang, et al.. (2023). A Two-Stage Pillar Feature-Encoding Network for Pillar-Based 3D Object Detection. World Electric Vehicle Journal. 14(6). 146–146. 4 indexed citations

10.

Chen, Jiajia, et al.. (2023). Research on Reinforcement-Learning-Based Truck Platooning Control Strategies in Highway On-Ramp Regions. World Electric Vehicle Journal. 14(10). 273–273. 3 indexed citations

11.

Su, Tao, et al.. (2022). Dual-Constraint Registration LiDAR SLAM Based on Grid Maps Enhancement in Off-Road Environment. Remote Sensing. 14(22). 5705–5705. 2 indexed citations

12.

Yu, Biao, et al.. (2022). A Dead Reckoning Calibration Scheme Based on Optimization with an Adaptive Quantum-Inspired Evolutionary Algorithm for Vehicle Self-Localization. Entropy. 24(8). 1128–1128. 3 indexed citations

13.

Liang, Huawei, et al.. (2021). A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field. IEEE Transactions on Intelligent Transportation Systems. 23(7). 7841–7854. 45 indexed citations

14.

Zhang, Hui, et al.. (2021). Driving Force Distribution and Control for Maneuverability and Stability of a 6WD Skid-Steering EUGV with Independent Drive Motors. Applied Sciences. 11(3). 961–961. 15 indexed citations

15.

Cheng, Yong, et al.. (2020). FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks. IEEE Transactions on Intelligent Transportation Systems. 23(2). 1543–1553. 19 indexed citations

16.

Wang, Shaobo, et al.. (2020). Vehicle Trajectory Prediction by Knowledge-Driven LSTM Network in Urban Environments. Journal of Advanced Transportation. 2020. 1–20. 23 indexed citations

17.

Huang, Junjie, Zhiling Wang, Huawei Liang, et al.. (2019). Lane Marking Detection Based on Segments with Upper and Lower Structure. International Journal of Pattern Recognition and Artificial Intelligence. 34(2). 2055005–2055005. 1 indexed citations

18.

Huang, Rulin, et al.. (2017). Intent-Estimation- and Motion-Model-Based Collision Avoidance Method for Autonomous Vehicles in Urban Environments. Applied Sciences. 7(5). 457–457. 33 indexed citations

19.

Liang, Huawei, et al.. (2017). A Scenario-Adaptive Driving Behavior Prediction Approach to Urban Autonomous Driving. Applied Sciences. 7(4). 426–426. 60 indexed citations

20.

Huang, Rulin, Jiajia Chen, Jian Liu, et al.. (2017). A Practical Point Cloud Based Road Curb Detection Method for Autonomous Vehicle. Information. 8(3). 93–93. 22 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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