Wei Jing

724 total citations
34 papers, 439 citations indexed

About

Wei Jing is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Wei Jing has authored 34 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 10 papers in Control and Systems Engineering. Recurrent topics in Wei Jing's work include Robotic Path Planning Algorithms (11 papers), Robotics and Sensor-Based Localization (8 papers) and Reinforcement Learning in Robotics (7 papers). Wei Jing is often cited by papers focused on Robotic Path Planning Algorithms (11 papers), Robotics and Sensor-Based Localization (8 papers) and Reinforcement Learning in Robotics (7 papers). Wei Jing collaborates with scholars based in Singapore, China and United States. Wei Jing's co-authors include Kenji Shimada, Wei Lin, Joseph Polden, Yan Wu, Keng Peng Tee, Hao Zhang, Joey Tianyi Zhou, Aixin Sun, Guilin Yang and Zhe Xiao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.

In The Last Decade

Wei Jing

33 papers receiving 429 citations

Peers

Wei Jing
Péter Odry Hungary
Young‐Ho Choi South Korea
Péter Odry Hungary
Wei Jing
Citations per year, relative to Wei Jing Wei Jing (= 1×) peers Péter Odry

Countries citing papers authored by Wei Jing

Since Specialization
Citations

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

Fields of papers citing papers by Wei Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Jing. A scholar is included among the top collaborators of Wei Jing 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 Wei Jing. Wei Jing 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
2.
Jing, Wei, et al.. (2023). A Hyper-Network Based End-to-End Visual Servoing With Arbitrary Desired Poses. IEEE Robotics and Automation Letters. 8(8). 4769–4776. 7 indexed citations
3.
Guo, Zhongwen, et al.. (2023). Numerical investigation of a Wave-Powered Vertical Profiler. Ocean Engineering. 285. 115419–115419. 1 indexed citations
4.
Zhang, Hao, Aixin Sun, Wei Jing, & Joey Tianyi Zhou. (2023). Temporal Sentence Grounding in Videos: A Survey and Future Directions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 10443–10465. 32 indexed citations
5.
Jing, Wei, et al.. (2023). Expert demonstrations guide reward decomposition for multi-agent cooperation. Neural Computing and Applications. 35(27). 19847–19863. 2 indexed citations
6.
Li, Shengbo Eben, et al.. (2023). Safe-State Enhancement Method for Autonomous Driving via Direct Hierarchical Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. 24(9). 9966–9983. 23 indexed citations
7.
Cui, Yuxiang, Xiaolong Huang, Dongkun Zhang, et al.. (2022). Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation. 2022 International Conference on Robotics and Automation (ICRA). 5518–5524. 7 indexed citations
8.
Li, Shengbo Eben, et al.. (2022). Cola-HRL: Continuous-Lattice Hierarchical Reinforcement Learning for Autonomous Driving. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 13143–13150. 11 indexed citations
9.
Ma, Yining, et al.. (2021). Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee. Neural Information Processing Systems. 34. 4 indexed citations
12.
Jing, Wei, et al.. (2019). Design of High-Efficiency Refrigerator Test System for Industrial Internet of Things. IOP Conference Series Materials Science and Engineering. 692(1). 12053–12053. 1 indexed citations
13.
Jing, Wei, et al.. (2019). Constrained Heterogeneous Vehicle Path Planning for Large-area Coverage. 4113–4120. 14 indexed citations
15.
Jing, Wei, et al.. (2017). Model-based coverage motion planning for industrial 3D shape inspection applications. 1293–1300. 14 indexed citations
17.
Jing, Wei & Kenji Shimada. (2017). Model-based view planning for building inspection and surveillance using voxel dilation, Medial Objects, and Random-Key Genetic Algorithm. Journal of Computational Design and Engineering. 5(3). 337–347. 15 indexed citations
18.
Jing, Wei, Joseph Polden, Wei Lin, & Kenji Shimada. (2016). Sampling-based view planning for 3D visual coverage task with Unmanned Aerial Vehicle. 1808–1815. 39 indexed citations
19.
Jing, Wei, et al.. (2016). View planning for 3D shape reconstruction of buildings with unmanned aerial vehicles. 1–6. 22 indexed citations
20.
Jing, Wei, et al.. (2015). An improved NSGA2 algorithm with the adaptive differential mutation operator. 2633–2638. 2 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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