Ze Ji

2.0k total citations
127 papers, 1.3k citations indexed

About

Ze Ji is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Ze Ji has authored 127 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 27 papers in Control and Systems Engineering and 27 papers in Artificial Intelligence. Recurrent topics in Ze Ji's work include Robotic Path Planning Algorithms (26 papers), Robot Manipulation and Learning (14 papers) and Reinforcement Learning in Robotics (13 papers). Ze Ji is often cited by papers focused on Robotic Path Planning Algorithms (26 papers), Robot Manipulation and Learning (14 papers) and Reinforcement Learning in Robotics (13 papers). Ze Ji collaborates with scholars based in United Kingdom, China and United States. Ze Ji's co-authors include Changyun Wei, Hanlin Niu, Antonios Tsourdos, Al Savvaris, Weikuan Jia, Guoliang Liu, Farshid Amirabdollahian, Kerstin Dautenhahn, Ben Robins and Jing Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Business Research and Expert Systems with Applications.

In The Last Decade

Ze Ji

110 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ze Ji United Kingdom 18 348 188 188 187 180 127 1.3k
Paolo Tripicchio Italy 16 174 0.5× 83 0.4× 212 1.1× 194 1.0× 50 0.3× 64 1.0k
Jacopo Aleotti Italy 21 511 1.5× 115 0.6× 142 0.8× 609 3.3× 156 0.9× 74 1.2k
Stefano Caselli Italy 23 615 1.8× 126 0.7× 125 0.7× 693 3.7× 199 1.1× 121 1.5k
Flavio Prieto Colombia 20 322 0.9× 63 0.3× 243 1.3× 117 0.6× 47 0.3× 139 1.5k
Zdenko Kovačić Croatia 17 284 0.8× 48 0.3× 331 1.8× 462 2.5× 174 1.0× 132 1.3k
Zool Hilmi Ismail Malaysia 19 137 0.4× 184 1.0× 80 0.4× 335 1.8× 78 0.4× 116 1.1k
Arto Visala Finland 16 309 0.9× 41 0.2× 89 0.5× 324 1.7× 64 0.4× 78 1.2k
Rajesh Kannan Megalingam India 19 475 1.4× 36 0.2× 50 0.3× 320 1.7× 96 0.5× 211 1.4k
Juntong Yun China 22 699 2.0× 36 0.2× 247 1.3× 428 2.3× 126 0.7× 56 1.5k

Countries citing papers authored by Ze Ji

Since Specialization
Citations

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

Fields of papers citing papers by Ze Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ze Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Ze Ji. A scholar is included among the top collaborators of Ze Ji 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 Ze Ji. Ze Ji 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.
Ji, Ze, et al.. (2025). Differentiable physics-based system identification for robotic manipulation of elastoplastic materials. The International Journal of Robotics Research. 44(13). 2126–2155.
2.
Lai, Yu‐Kun, et al.. (2025). A Physics-Informed Demonstration-Guided Learning Framework for Granular Material Manipulation. IEEE Transactions on Neural Networks and Learning Systems. PP. 1–15.
3.
Niu, Hanlin, et al.. (2025). Safe Learning for Multi-Robot Mapless Exploration. IEEE Transactions on Vehicular Technology. 74(11). 16947–16961.
4.
Zeng, Bing, et al.. (2025). Cognitive UAV Tracking: Leveraging DRL and Hybrid Curriculum Learning for Target Reacquisition. IEEE Transactions on Automation Science and Engineering. 22. 16547–16559.
5.
6.
Khan, Ameer Hamza, Hang Su, Xinwei Cao, et al.. (2025). BOMO-RNN: a novel neural network controller for industrial robots with experimental validation. International Journal of Systems Science. 56(16). 4170–4186. 1 indexed citations
7.
Soroka, Anthony, et al.. (2024). Developing Rapid Metal AM deformations Prediction using CNN. Procedia CIRP. 126. 567–572.
8.
Wei, Changyun, et al.. (2024). TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model. Computers in Industry. 164. 104192–104192. 3 indexed citations
9.
Lin, Runhui, et al.. (2024). Inventor’s ego network change and invention impact: The moderating role of knowledge networks. Journal of Business Research. 185. 114927–114927. 2 indexed citations
10.
Wei, Changyun, et al.. (2024). FGRL: Federated Growing Reinforcement Learning for Resilient Mapless Navigation in Unfamiliar Environments. Applied Sciences. 14(23). 11336–11336. 1 indexed citations
11.
Wang, Chang, et al.. (2024). Integrated Learning-Based Framework for Autonomous Quadrotor UAV Landing on a Collaborative Moving UGV. IEEE Transactions on Vehicular Technology. 73(11). 16092–16107. 10 indexed citations
12.
13.
Sun, Meili, et al.. (2023). SOD head: A network for locating small fruits from top to bottom in layers of feature maps. Computers and Electronics in Agriculture. 212. 108133–108133. 4 indexed citations
14.
Wu, Jing, et al.. (2023). Efficient Hierarchical Reinforcement Learning for Mapless Navigation With Predictive Neighbouring Space Scoring. IEEE Transactions on Automation Science and Engineering. 21(4). 5457–5472. 6 indexed citations
15.
Ji, Ze, et al.. (2023). Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective. IEEE Transactions on Cognitive and Developmental Systems. 15(3). 1139–1149. 8 indexed citations
16.
Wei, Changyun, et al.. (2023). Deep Reinforcement Learning with Heuristic Corrections for UGV Navigation. Journal of Intelligent & Robotic Systems. 109(1). 4 indexed citations
17.
Liu, Yuanchang, et al.. (2022). Anisotropic GPMP2: A Fast Continuous-Time Gaussian Processes Based Motion Planner for Unmanned Surface Vehicles in Environments With Ocean Currents. IEEE Transactions on Automation Science and Engineering. 19(4). 3914–3931. 37 indexed citations
18.
Liu, Guoliang, et al.. (2021). Safe distance prediction for braking control of bridge cranes considering anti‐swing. International Journal of Intelligent Systems. 37(8). 4845–4863. 6 indexed citations
19.
Ji, Ze, Jing Wu, Yu‐Kun Lai, et al.. (2021). Hierarchical Reinforcement Learning With Universal Policies for Multistep Robotic Manipulation. IEEE Transactions on Neural Networks and Learning Systems. 33(9). 4727–4741. 58 indexed citations
20.
Niu, Hanlin, Ze Ji, Farshad Arvin, et al.. (2021). Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player. ORCA Online Research @Cardiff (Cardiff University). 144–149. 28 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Paolo Tripicchio Breakdown of academic impact, for papers by Jacopo Aleotti Breakdown of academic impact, for papers by Stefano Caselli Breakdown of academic impact, for papers by Flavio Prieto Breakdown of academic impact, for papers by Zdenko Kovačić Breakdown of academic impact, for papers by Zool Hilmi Ismail Breakdown of academic impact, for papers by Arto Visala Breakdown of academic impact, for papers by Rajesh Kannan Megalingam Breakdown of academic impact, for papers by Juntong Yun
Rankless by CCL
2026