Delong Zhu
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- Robotic Path Planning Algorithms 10
- Image and Object Detection Techniques 6
- Advanced Vision and Imaging 6
- Advanced Neural Network Applications 4
- Geology top 5%
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization 20
- Media Technology top 5%
- Vehicle License Plate Recognition 6
- Automotive Engineering top 10%
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- Elevator Systems and Control 6
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- 3D Shape Modeling and Analysis 5
- Co-authors
- Max Q.‐H. MengTingguang LiChaoqun WangYuqi FangDanny HoYunzhou ZhangXiangwei WangChen Wang
- Journals
- IEEE Transactions on Industrial Electronics (1 paper)Frontiers in Psychology (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Delong Zhu
40 papers receiving 875 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 601
- Geology 107
- Aerospace Engineering 461
- Media Technology 67
- Automotive Engineering 60
Countries citing papers authored by Delong Zhu
This map shows the geographic impact of Delong Zhu'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 Delong Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Delong Zhu more than expected).
Fields of papers citing papers by Delong Zhu
This network shows the impact of papers produced by Delong Zhu. 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 Delong Zhu. The network helps show where Delong Zhu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Delong Zhu, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 26 | |
| 4 | 2023 | 22 | |
| 5 | 2023 | 4 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 37 | |
| 12 | 2020 | 211 | |
| 13 | 2020 | 68 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 37 | |
| 16 | 2020 | 41 | |
| 17 | 2019 | 46 | |
| 18 | 2018 | 22 | |
| 19 | 2018 | 76 | |
| 20 | 2017 | 14 |
About Delong Zhu
Delong Zhu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Health Informatics, having authored 42 papers that have together received 892 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (20 papers), Robotic Path Planning Algorithms (10 papers), Vehicle License Plate Recognition (6 papers), Image and Object Detection Techniques (6 papers), Advanced Vision and Imaging (6 papers), Elevator Systems and Control (6 papers), 3D Shape Modeling and Analysis (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (601 citations), Geology (107 citations) and Aerospace Engineering (461 citations). Delong Zhu has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Max Q.‐H. Meng, Tingguang Li, Chaoqun Wang, Yuqi Fang, Danny Ho, Yunzhou Zhang, Xiangwei Wang, Chen Wang, Yuheng Qiu and Wenshan Wang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Frontiers in Psychology and IEEE Transactions on Neural Networks and Learning Systems.
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.