Zize Liang
Impact in
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- Advanced Neural Network Applications
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- Industrial Vision Systems and Defect Detection
Papers in
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- Advanced Vision and Imaging 14
- Advanced Neural Network Applications 8
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- Robotic Mechanisms and Dynamics 10
- Co-authors
- En LiGuodong YangYunong TianZhe WangHao WangLei YangJunfeng FanJinzhu Peng
- Journals
- IEEE Sensors Journal (5 papers)IEEE Transactions on Instrumentation and Measurement (4 papers)Computers and Electronics in Agriculture (2 papers)The International Journal of Advanced Manufacturing Technology (2 papers)IEEE Robotics and Automation Letters (2 papers)
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Zize Liang
97 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 841
- Industrial and Manufacturing Engineering 392
- Analytical Chemistry 249
- Media Technology 205
- Plant Science 807
Countries citing papers authored by Zize Liang
This map shows the geographic impact of Zize Liang'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 Zize Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zize Liang more than expected).
Fields of papers citing papers by Zize Liang
This network shows the impact of papers produced by Zize Liang. 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 Zize Liang. The network helps show where Zize Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zize Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | MD-YOLO: Multi-scale Dense YOLO for small target pest detection Hit paper breakdown → | 2023 | 95 |
| 3 | 2023 | 3 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 15 | |
| 6 | 2022 | 44 | |
| 7 | 2021 | 29 | |
| 8 | 2021 | 65 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 32 | |
| 11 | 2019 | 21 | |
| 12 | 2018 | 2 | |
| 13 | 2016 | 0 | |
| 14 | Experiment study on the motion planning and control of focus cabin of FAST | 2013 | 2 |
| 15 | 2013 | 1 | |
| 16 | 2010 | 3 | |
| 17 | Design and analysis of a fiber field-bus communication system | 2009 | 1 |
| 18 | 2008 | 7 | |
| 19 | CAN-bus based communication application layer protocol for the colliery safety monitoring system | 2006 | 1 |
| 20 | 2006 | 8 |
About Zize Liang
Zize Liang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Ocean Engineering, Mechanical Engineering and Geology, having authored 107 papers that have together received 2.7k indexed citations. Recurring topics across this work include Power Line Inspection Robots (23 papers), Underwater Vehicles and Communication Systems (15 papers), Robotics and Sensor-Based Localization (15 papers), Advanced Vision and Imaging (14 papers), Soft Robotics and Applications (11 papers), Robotic Mechanisms and Dynamics (10 papers), Advanced Neural Network Applications (8 papers) and Smart Agriculture and AI (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (841 citations), Industrial and Manufacturing Engineering (392 citations), Analytical Chemistry (249 citations), Media Technology (205 citations) and Plant Science (807 citations). Zize Liang has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include En Li, Guodong Yang, Yunong Tian, Zhe Wang, Hao Wang, Lei Yang, Junfeng Fan, Jinzhu Peng, Yanhong Liu and Min Tan. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Instrumentation and Measurement, Computers and Electronics in Agriculture, The International Journal of Advanced Manufacturing Technology and IEEE Robotics and Automation Letters.
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.