Zhencheng Hu
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety 16
- Human-Computer Interaction top 5%
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- Sleep and Work-Related Fatigue 6
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- Video Surveillance and Tracking Methods 19
- Advanced Vision and Imaging 17
- Face and Expression Recognition 12
- Face recognition and analysis 9
- Social Psychology top 5%
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- Robotics and Sensor-Based Localization 14
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- Remote Sensing and LiDAR Applications 7
- Co-authors
- Keiichi UchimuraYanchao DongNobuki MurayamaK. UchimuraJiguang YueHui ChenYan ZhangTomohiko Igasaki
In The Last Decade
Zhencheng Hu
59 papers receiving 910 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Automotive Engineering 290
- Human-Computer Interaction 125
- Experimental and Cognitive Psychology 269
- Computer Vision and Pattern Recognition 314
- Social Psychology 253
Countries citing papers authored by Zhencheng Hu
This map shows the geographic impact of Zhencheng Hu'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 Zhencheng Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhencheng Hu more than expected).
Fields of papers citing papers by Zhencheng Hu
This network shows the impact of papers produced by Zhencheng Hu. 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 Zhencheng Hu. The network helps show where Zhencheng Hu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhencheng Hu, 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 | 2016 | 2 | |
| 2 | 2015 | 23 | |
| 3 | 2015 | 51 | |
| 4 | 2015 | 6 | |
| 5 | 2010 | 8 | |
| 6 | 2009 | 20 | |
| 7 | 2009 | 1 | |
| 8 | 2008 | 5 | |
| 9 | Improving the Pose Invariant Face Recognition Using Double Frequency Analysis and Color Information | 2008 | 3 |
| 10 | 2008 | 5 | |
| 11 | 2008 | 7 | |
| 12 | 2008 | 3 | |
| 13 | Research on Vision-Based Lane Detection and Tracking for Intelligent Vehicles | 2007 | 2 |
| 14 | VEHICLE DETECTION USING PROBABILITY FUSION MAPS GENERATED BY A MULTI-CAMERA SYSTEM(International Workshop on Advanced Image Technology 2007) | 2007 | 2 |
| 15 | 2006 | 2 | |
| 16 | 2006 | 1 | |
| 17 | Construction of transport control system using congestion index | 2005 | 1 |
| 18 | 2005 | 54 | |
| 19 | 2000 | 2 | |
| 20 | 1999 | 2 |
About Zhencheng Hu
Zhencheng Hu is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Human-Computer Interaction, having authored 60 papers that have together received 961 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (19 papers), Advanced Vision and Imaging (17 papers), Autonomous Vehicle Technology and Safety (16 papers), Robotics and Sensor-Based Localization (14 papers), Face and Expression Recognition (12 papers), Face recognition and analysis (9 papers), Remote Sensing and LiDAR Applications (7 papers) and Sleep and Work-Related Fatigue (6 papers). The work is most often cited by research in Automotive Engineering (290 citations), Human-Computer Interaction (125 citations) and Experimental and Cognitive Psychology (269 citations). Zhencheng Hu has collaborated with scholars based in Japan, China and Singapore. Frequent co-authors include Keiichi Uchimura, Yanchao Dong, Nobuki Murayama, K. Uchimura, Jiguang Yue, Hui Chen, Yan Zhang, Tomohiko Igasaki, Yanming Wang and Chen‐Hao Wang. Their work appears in journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems and Neurocomputing.
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.