Ze Ji
Impact in
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- Robotic Path Planning Algorithms
Papers in
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- Robotic Path Planning Algorithms 28
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- Robot Manipulation and Learning 18
- Co-authors
- Changyun Wei (22 shared papers)Hanlin Niu (9 shared papers)Antonios Tsourdos (3 shared papers)Al Savvaris (3 shared papers)Weikuan Jia (11 shared papers)Guoliang Liu (13 shared papers)Jing Wu (15 shared papers)Farshid Amirabdollahian (3 shared papers)
- Journals
- IEEE Transactions on Automation Science and Engineering (5 papers)Computers and Electronics in Agriculture (5 papers)Ocean Engineering (4 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)IEEE Sensors Journal (3 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Ze Ji
125 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 113
- Industrial and Manufacturing Engineering 211
- Computer Vision and Pattern Recognition 384
- Ocean Engineering 199
- Automotive Engineering 114
- Cognitive Neuroscience 167
Countries citing papers authored by Ze Ji
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
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-authors
The 25 scholars most cited alongside Ze Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 108 | |
| 2 | 2019 | 86 | |
| 3 | 2019 | 79 | |
| 4 | 2021 | 61 | |
| 5 | 2022 | 61 | |
| 6 | 2019 | 60 | |
| 7 | 2022 | 53 | |
| 8 | 2021 | 45 | |
| 9 | 2021 | 42 | |
| 10 | 2010 | 42 | |
| 11 | 2022 | 38 | |
| 12 | 2021 | 33 | |
| 13 | 2020 | 32 | |
| 14 | 2022 | 31 | |
| 15 | 2021 | 29 | |
| 16 | 2011 | 27 | |
| 17 | 2020 | 21 | |
| 18 | 2021 | 18 | |
| 19 | 2021 | 18 | |
| 20 | 2020 | 18 |
About Ze Ji
Ze Ji is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering and Aerospace Engineering, having authored 140 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (28 papers), Robot Manipulation and Learning (18 papers), Reinforcement Learning in Robotics (14 papers), Robotics and Sensor-Based Localization (13 papers), Smart Agriculture and AI (11 papers), Underwater Vehicles and Communication Systems (10 papers), Maritime Navigation and Safety (9 papers) and Spectroscopy and Chemometric Analyses (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (211 citations), Computer Vision and Pattern Recognition (384 citations), Ocean Engineering (199 citations), Automotive Engineering (114 citations) and Cognitive Neuroscience (167 citations). Ze Ji has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Changyun Wei, Hanlin Niu, Antonios Tsourdos, Al Savvaris, Weikuan Jia, Guoliang Liu, Jing Wu, Farshid Amirabdollahian, Kerstin Dautenhahn and Yu‐Kun Lai. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, Computers and Electronics in Agriculture, Ocean Engineering, IEEE Transactions on Neural Networks and Learning Systems and IEEE Sensors Journal.
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.