Diange Yang

850 total citations
79 papers, 484 citations indexed

About

Diange Yang is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Diange Yang has authored 79 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Automotive Engineering, 23 papers in Computer Vision and Pattern Recognition and 23 papers in Aerospace Engineering. Recurrent topics in Diange Yang's work include Autonomous Vehicle Technology and Safety (25 papers), Robotics and Sensor-Based Localization (12 papers) and Traffic Prediction and Management Techniques (11 papers). Diange Yang is often cited by papers focused on Autonomous Vehicle Technology and Safety (25 papers), Robotics and Sensor-Based Localization (12 papers) and Traffic Prediction and Management Techniques (11 papers). Diange Yang collaborates with scholars based in China, United States and Indonesia. Diange Yang's co-authors include Kun Jiang, Xiaomin Lian, Zhihua Zhong, Jin Huang, Zhongyang Xiao, Tao Zhang, Zhong Cao, Keqiang Li, Zeyu Yang and Mengmeng Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Sensors.

In The Last Decade

Diange Yang

71 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diange Yang China 12 224 138 101 89 67 79 484
Guiping Wang China 15 121 0.5× 88 0.6× 136 1.3× 82 0.9× 41 0.6× 41 663
Linhai Xu China 11 292 1.3× 144 1.0× 216 2.1× 81 0.9× 116 1.7× 25 607
Zhongyang Xiao China 9 156 0.7× 85 0.6× 110 1.1× 85 1.0× 72 1.1× 18 339
De Jong Yeong Ireland 5 286 1.3× 116 0.8× 212 2.1× 142 1.6× 153 2.3× 5 708
A. Polychronopoulos Greece 16 404 1.8× 147 1.1× 142 1.4× 90 1.0× 60 0.9× 33 610
Tamás Bécsi Hungary 14 328 1.5× 295 2.1× 110 1.1× 80 0.9× 27 0.4× 92 649
Sajjad Mozaffari United Kingdom 7 375 1.7× 127 0.9× 164 1.6× 65 0.7× 49 0.7× 15 607
Myounggyu Won United States 14 88 0.4× 78 0.6× 133 1.3× 319 3.6× 67 1.0× 45 823
Peter Ondrúška United Kingdom 9 188 0.8× 73 0.5× 202 2.0× 62 0.7× 99 1.5× 13 429

Countries citing papers authored by Diange Yang

Since Specialization
Citations

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

Fields of papers citing papers by Diange Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diange Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Diange Yang. A scholar is included among the top collaborators of Diange Yang 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 Diange Yang. Diange Yang 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.
Yang, Mengmeng, et al.. (2025). Enhancing Lane Segment Perception and Topology Reasoning With Crowdsourcing Trajectory Priors. IEEE Robotics and Automation Letters. 10(6). 5417–5424.
2.
Yang, Mengmeng, et al.. (2025). Residual Learning Towards High-Fidelity Vehicle Dynamics Modeling With Transformer. IEEE Robotics and Automation Letters. 10(7). 7404–7411. 1 indexed citations
3.
Yang, Mengmeng, et al.. (2024). Exploring the application of blockchain technology in crowdsource autonomous driving map updating. SHILAP Revista de lepidopterología. 4. 100140–100140. 1 indexed citations
4.
Qian, Cheng, et al.. (2024). A Survey on Monocular Re-Localization: From the Perspective of Scene Map Representation. IEEE Transactions on Intelligent Vehicles. 10(4). 2519–2550. 7 indexed citations
5.
Yang, Mengmeng, et al.. (2024). DiffMap: Enhancing Map Segmentation With Map Prior Using Diffusion Model. IEEE Robotics and Automation Letters. 9(11). 9836–9843. 3 indexed citations
6.
Jiang, Kun, et al.. (2024). Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 11814–11834. 4 indexed citations
7.
Jiang, Kun, et al.. (2024). Summary and Reflections on Pedestrian Trajectory Prediction in the Field of Autonomous Driving. IEEE Transactions on Intelligent Vehicles. 1–33. 10 indexed citations
8.
Huang, Jin, Yanzhao Su, Xiangyu Wang, et al.. (2024). Safety-Guaranteed Oversized Cargo Cooperative Transportation With Closed-Form Collision-Free Trajectory Generation and Tracking Control. IEEE Transactions on Intelligent Transportation Systems. 25(12). 20162–20174. 1 indexed citations
9.
Jiao, Xinyu, et al.. (2023). Autonomous Driving Risk Assessment With Boundary-Based Environment Model. IEEE Transactions on Intelligent Vehicles. 9(1). 642–655. 6 indexed citations
10.
Xiao, Zhongyang, Mengmeng Yang, Maolin Liu, et al.. (2023). Poses as Queries: End-to-End Image-to-LiDAR Map Localization With Transformers. IEEE Robotics and Automation Letters. 9(1). 803–810. 6 indexed citations
11.
Jiao, Xinyu, et al.. (2023). SGFNet: Segmentation Guided Fusion Network for 3D Object Detection. IEEE Robotics and Automation Letters. 8(12). 8239–8246. 3 indexed citations
12.
Jiang, Kun, et al.. (2023). Traffic Police 3D Gesture Recognition Based on Spatial–Temporal Fully Adaptive Graph Convolutional Network. IEEE Transactions on Intelligent Transportation Systems. 24(9). 9518–9531. 6 indexed citations
13.
Huang, Jin, Ziniu Hu, Zeyu Yang, et al.. (2023). Spatial-Dependent Robust Control Strategy for On-Ramp Merging. IEEE Transactions on Vehicular Technology. 73(3). 3191–3205. 5 indexed citations
14.
Yang, Mengmeng, et al.. (2023). Multi-Session High-Definition Map-Monitoring System for Map Update. ISPRS International Journal of Geo-Information. 13(1). 6–6.
15.
Huang, Jin, et al.. (2023). Configuration and Design Schemes of Environmental Sensing and Vehicle Computing Systems for Automated Driving: A Review. IEEE Sensors Journal. 23(14). 15305–15320. 9 indexed citations
16.
Cao, Zhong, et al.. (2023). Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 24(8). 7932–7942. 11 indexed citations
17.
Hu, Manjiang, Yougang Bian, Chee–Meng Chew, et al.. (2023). Integrated Design Framework for Perception System of Automated Electric Vehicles With Enhanced Sensor Reusability. IEEE Transactions on Transportation Electrification. 10(2). 3075–3091. 1 indexed citations
18.
Cao, Zhong, et al.. (2022). Autonomous Driving Policy Continual Learning With One-Shot Disengagement Case. IEEE Transactions on Intelligent Vehicles. 8(2). 1380–1391. 8 indexed citations
19.
Jiang, Kun, et al.. (2021). Simple But Effective: Upper-Body Geometric Features for Traffic Command Gesture Recognition. IEEE Transactions on Human-Machine Systems. 52(3). 423–434. 6 indexed citations
20.
Yang, Diange, et al.. (2016). Intelligent vehicle electrical power supply system with central coordinated protection. Chinese Journal of Mechanical Engineering. 29(4). 781–791. 6 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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