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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- Robotic Mechanisms and Dynamics 10
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- Advanced Vision and Imaging 11
- Advanced Neural Network Applications 8
- Co-authors
- En Li (72 shared papers)Guodong Yang (34 shared papers)Yunong Tian (16 shared papers)Zhe Wang (2 shared papers)Hao Wang (1 shared paper)Lei Yang (11 shared papers)Junfeng Fan (10 shared papers)Yanhong Liu (3 shared papers)
- Journals
- IEEE Sensors Journal (4 papers)IEEE Transactions on Instrumentation and Measurement (4 papers)The International Journal of Advanced Manufacturing Technology (2 papers)Neural Processing Letters (2 papers)IEEE Robotics and Automation Letters (2 papers)
- Partner nations
- ChinaTaiwanUnited Kingdom
In The Last Decade
Zize Liang
100 papers receiving 2.9k citations
Zize Liang's Hit Papers
Peers
Comparison fields: 5 of 131
- Computer Vision and Pattern Recognition 912
- Industrial and Manufacturing Engineering 432
- Analytical Chemistry 274
- Media Technology 224
- Plant Science 897
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 109 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 | 855 |
| 2 | A Review on State-of-the-Art Power Line Inspection Techniques Hit paper breakdown → | 2020 | 285 |
| 3 | 2019 | 172 | |
| 4 | 2020 | 147 | |
| 5 | 2020 | 141 | |
| 6 | MD-YOLO: Multi-scale Dense YOLO for small target pest detection Hit paper breakdown → | 2023 | 125 |
| 7 | 2018 | 78 | |
| 8 | 2021 | 76 | |
| 9 | 2017 | 62 | |
| 10 | 2017 | 60 | |
| 11 | 2020 | 60 | |
| 12 | 2022 | 52 | |
| 13 | 2007 | 50 | |
| 14 | 2018 | 44 | |
| 15 | 2020 | 41 | |
| 16 | 2017 | 41 | |
| 17 | 2021 | 39 | |
| 18 | 2006 | 38 | |
| 19 | 2009 | 37 | |
| 20 | 2021 | 36 |
About Zize Liang
Zize Liang is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Ocean Engineering and Aerospace Engineering, having authored 109 papers that have together received 3.0k indexed citations. Recurring topics across this work include Power Line Inspection Robots (30 papers), Underwater Vehicles and Communication Systems (17 papers), Robotics and Sensor-Based Localization (16 papers), Soft Robotics and Applications (13 papers), Advanced Vision and Imaging (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 (912 citations), Industrial and Manufacturing Engineering (432 citations), Analytical Chemistry (274 citations), Media Technology (224 citations) and Plant Science (897 citations). Zize Liang has collaborated with scholars based in China, Taiwan and United Kingdom. Frequent co-authors include En Li, Guodong Yang, Yunong Tian, Zhe Wang, Hao Wang, Lei Yang, Junfeng Fan, Yanhong Liu, Jinzhu Peng and Min Han Tan. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Instrumentation and Measurement, The International Journal of Advanced Manufacturing Technology, Neural Processing Letters 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.