Ji Hou
Impact in
- Computational Mechanics top 5%
- 3D Shape Modeling and Analysis
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- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
Papers in
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- 3D Shape Modeling and Analysis 5
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- Generative Adversarial Networks and Image Synthesis 3
- Advanced Neural Network Applications 2
- Co-authors
- Mahdi Saleh (2 shared papers)Slobodan Ilić (2 shared papers)Benjamin Busam (2 shared papers)Zheng Qin (2 shared papers)Hao Yu (1 shared paper)Dongsheng Li (1 shared paper)Zijian He (4 shared papers)Péter Vajda (5 shared papers)
- Journals
- IEEE Access (1 paper)Environmental Science & Technology (1 paper)Applied Sciences (1 paper)Bioinspiration & Biomimetics (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Ji Hou
17 papers receiving 279 citations
Ji Hou's Hit Papers
Peers
Comparison fields: 5 of 41
- Computational Mechanics 169
- Computer Vision and Pattern Recognition 87
- Computer Graphics and Computer-Aided Design 11
- Geology 8
- Automotive Engineering 11
Countries citing papers authored by Ji Hou
This map shows the geographic impact of Ji Hou'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 Ji Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Hou more than expected).
Fields of papers citing papers by Ji Hou
This network shows the impact of papers produced by Ji Hou. 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 Ji Hou. The network helps show where Ji Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Hou, 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 | Rotation-Invariant Transformer for Point Cloud Matching Hit paper breakdown → | 2023 | 87 |
| 2 | 2024 | 44 | |
| 3 | 2023 | 43 | |
| 4 | 2024 | 22 | |
| 5 | 2023 | 19 | |
| 6 | 2024 | 17 | |
| 7 | 2024 | 10 | |
| 8 | 2019 | 7 | |
| 9 | 2023 | 6 | |
| 10 | Characteristic of Human Exposure Factors in China and Their Uncertainty Analysis in Health Risk Assessment | 2014 | 5 |
| 11 | 2018 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2012 | 3 | |
| 14 | 2025 | 3 | |
| 15 | ANALYSIS OF APPLICATION BOUNDARY OF LOW BASE NUMBER ASP FLOODING TECHNOLOGY | 2003 | 2 |
| 16 | 2013 | 2 | |
| 17 | 2012 | 1 | |
| 18 | The Computation of Pull Force by Rocket Acting on Steel Wire in Rocket-Propelled Line Charge | 2002 | 0 |
| 19 | 2025 | 0 |
About Ji Hou
Ji Hou is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Aerospace Engineering, Ecology and Control and Systems Engineering, having authored 19 papers that have together received 281 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Cloud Computing and Resource Management (2 papers), Advanced Neural Network Applications (2 papers), Hydrology and Sediment Transport Processes (2 papers), Railway Systems and Energy Efficiency (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Reinforcement Learning in Robotics (1 paper). The work is most often cited by research in Computational Mechanics (169 citations), Computer Vision and Pattern Recognition (87 citations), Computer Graphics and Computer-Aided Design (11 citations), Geology (8 citations) and Automotive Engineering (11 citations). Ji Hou has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Mahdi Saleh, Slobodan Ilić, Benjamin Busam, Zheng Qin, Hao Yu, Dongsheng Li, Zijian He, Péter Vajda, Jialiang Wang and Bichen Wu. Their work appears in journals such as IEEE Access, Environmental Science & Technology, Applied Sciences, Bioinspiration & Biomimetics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.