Ze Ji

110 papers receiving 1.2k citations

Peers

Ze Ji
Comparison fields: 5 of 113
  • Industrial and Manufacturing Engineering 188
  • Computer Vision and Pattern Recognition 348
  • Ocean Engineering 188
  • Automotive Engineering 105
  • Control and Systems Engineering 187
Replace Rajesh Kannan Megalingam with:
Rajesh Kannan Megalingam India
Cipriano Galindo Spain
Alessandro Freddi Italy
Javaid Iqbal Pakistan
Javier González-Jiménez Spain
Guoqian Jiang China
Juan‐Antonio Fernández‐Madrigal Spain
Adham Atyabi United States
Huei‐Yung Lin Taiwan
Ze Ji relative to Rajesh Kannan Megalingam India Rajesh Kannan Megalingam's profile →
Citations per field
00.5×5.2×
Rajesh Kannan Megalingam · 1×
Citations per year

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-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.

Border = papers with Ze Ji Line = papers co-authored together Ze Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202096
2 201983
3 201976
4 202158
5 201956
6 202251
7 202250
8 202141
9 202237
10 201037
11 202137
12 202032
13 202131
14 202128
15 202228
16 201125
17 202020
18 202118
19 202116
20 202115

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 127 papers that have together received 1.3k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (26 papers), Robot Manipulation and Learning (14 papers), Reinforcement Learning in Robotics (13 papers), Smart Agriculture and AI (11 papers), Robotics and Sensor-Based Localization (11 papers), Underwater Vehicles and Communication Systems (10 papers), Maritime Navigation and Safety (9 papers) and Industrial Vision Systems and Defect Detection (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (188 citations), Computer Vision and Pattern Recognition (348 citations), Ocean Engineering (188 citations), Automotive Engineering (105 citations) and Control and Systems Engineering (187 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, Farshid Amirabdollahian, Kerstin Dautenhahn, Ben Robins and Jing Wu. Their work appears in journals such as Computers and Electronics in Agriculture, IEEE Transactions on Automation Science and Engineering, 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.

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