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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- Power Line Inspection Robots 24
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- Robotic Mechanisms and Dynamics 10
- Co-authors
- En Li (71 shared papers)Guodong Yang (32 shared papers)Yunong Tian (16 shared papers)Zhe Wang (2 shared papers)Hao Wang (1 shared paper)Lei Yang (12 shared papers)Junfeng Fan (11 shared papers)Jinzhu Peng (3 shared papers)
- Journals
- IEEE Sensors Journal (5 papers)IEEE Transactions on Instrumentation and Measurement (4 papers)IEEE Robotics and Automation Letters (2 papers)Neural Processing Letters (2 papers)Computers and Electronics in Agriculture (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Zize Liang
95 papers receiving 2.7k citations
Zize Liang's Hit Papers
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 846
- Industrial and Manufacturing Engineering 404
- Analytical Chemistry 252
- Media Technology 208
- Plant Science 830
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-authors
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
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Apple detection during different growth stages in orchards using the improved YOLO-V3 model Hit paper breakdown → | 2019 | 802 |
| 2 | A Review on State-of-the-Art Power Line Inspection Techniques Hit paper breakdown → | 2020 | 253 |
| 3 | 2019 | 152 | |
| 4 | 2020 | 143 | |
| 5 | 2020 | 133 | |
| 6 | MD-YOLO: Multi-scale Dense YOLO for small target pest detection Hit paper breakdown → | 2023 | 112 |
| 7 | 2018 | 76 | |
| 8 | 2021 | 69 | |
| 9 | 2020 | 58 | |
| 10 | 2017 | 58 | |
| 11 | 2017 | 54 | |
| 12 | 2022 | 48 | |
| 13 | 2018 | 44 | |
| 14 | 2007 | 43 | |
| 15 | 2017 | 42 | |
| 16 | 2020 | 40 | |
| 17 | 2009 | 36 | |
| 18 | 2021 | 33 | |
| 19 | 2006 | 32 | |
| 20 | 2021 | 31 |
About Zize Liang
Zize Liang is a scholar working on Mechanical Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering and Aerospace Engineering, having authored 104 papers that have together received 2.8k indexed citations. Recurring topics across this work include Power Line Inspection Robots (24 papers), Underwater Vehicles and Communication Systems (15 papers), Robotics and Sensor-Based Localization (15 papers), Advanced Vision and Imaging (12 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 (846 citations), Industrial and Manufacturing Engineering (404 citations), Analytical Chemistry (252 citations), Media Technology (208 citations) and Plant Science (830 citations). Zize Liang has collaborated with scholars based in China, United Kingdom and United States. 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, IEEE Robotics and Automation Letters, Neural Processing Letters and Computers and Electronics in Agriculture.
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.