Zhongcheng Wu
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety 7
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- Handwritten Text Recognition Techniques 8
- Video Surveillance and Tracking Methods 7
- Advanced Neural Network Applications 6
- Building and Construction top 10%
- Traffic Prediction and Management Techniques 5
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- Hand Gesture Recognition Systems 6
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- Prosthetics and Rehabilitation Robotics 5
- Robotic Locomotion and Control 5
- Co-authors
- Jun ZhangJie ChenTingting RenFei ShenFang LiChengjun XieLiu LiuFeng Dong
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionSafety, Risk, Reliability and Quality
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Zhongcheng Wu
49 papers receiving 531 citations
Peers
Comparison fields: 5 of 84
- Automotive Engineering 170
- Computer Vision and Pattern Recognition 166
- Safety, Risk, Reliability and Quality 56
- Building and Construction 80
- Human-Computer Interaction 22
Countries citing papers authored by Zhongcheng Wu
This map shows the geographic impact of Zhongcheng Wu'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 Zhongcheng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongcheng Wu more than expected).
Fields of papers citing papers by Zhongcheng Wu
This network shows the impact of papers produced by Zhongcheng Wu. 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 Zhongcheng Wu. The network helps show where Zhongcheng Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhongcheng Wu, 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 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 25 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 42 | |
| 16 | 2019 | 33 | |
| 17 | 2015 | 25 | |
| 18 | FLAC-3D simulation of deep excavation with compound soil nailing support | 2006 | 4 |
| 19 | 2006 | 1 | |
| 20 | 2003 | 1 |
About Zhongcheng Wu
Zhongcheng Wu is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and General Engineering, having authored 55 papers that have together received 543 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (8 papers), Video Surveillance and Tracking Methods (7 papers), Autonomous Vehicle Technology and Safety (7 papers), Advanced Neural Network Applications (6 papers), Hand Gesture Recognition Systems (6 papers), Traffic Prediction and Management Techniques (5 papers), Prosthetics and Rehabilitation Robotics (5 papers) and Robotic Locomotion and Control (5 papers). The work is most often cited by research in Automotive Engineering (170 citations), Computer Vision and Pattern Recognition (166 citations) and Safety, Risk, Reliability and Quality (56 citations). Zhongcheng Wu has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Jun Zhang, Jie Chen, Tingting Ren, Fei Shen, Fang Li, Jie Chen, Chengjun Xie, Liu Liu, Jun Zhang and Feng Dong. Their work appears in journals such as IEEE Access, Sensors and Pattern Recognition.
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.