Ruiqi Guo
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- Innovative concrete reinforcement materials 9
- Structural Response to Dynamic Loads 5
- Concrete and Cement Materials Research 4
- Grouting, Rheology, and Soil Mechanics 3
- Building and Construction top 10%
- Structural Behavior of Reinforced Concrete 6
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- Advanced Image and Video Retrieval Techniques 3
- Image Retrieval and Classification Techniques 3
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- Rock Mechanics and Modeling 4
Ruiqi Guo
29 papers receiving 406 citations
Peers
Comparison fields: 5 of 57
- Civil and Structural Engineering 257
- Building and Construction 96
- Computer Vision and Pattern Recognition 53
- Management, Monitoring, Policy and Law 27
- Mechanics of Materials 54
Countries citing papers authored by Ruiqi Guo
This map shows the geographic impact of Ruiqi Guo'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 Ruiqi Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruiqi Guo more than expected).
Fields of papers citing papers by Ruiqi Guo
This network shows the impact of papers produced by Ruiqi Guo. 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 Ruiqi Guo. The network helps show where Ruiqi Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruiqi Guo, 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 | 4 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 34 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 18 | |
| 14 | 2022 | 33 | |
| 15 | Efficient Training of Retrieval Models using Negative Cache | 2021 | 2 |
| 16 | Accelerating Large-Scale Inference with Anisotropic Vector Quantization | 2020 | 22 |
| 17 | Tight Analysis of Privacy and Utility Tradeoff in Approximate Differential Privacy. | 2020 | 11 |
| 18 | New Loss Functions for Fast Maximum Inner Product Search | 2019 | 1 |
| 19 | Fast Classification with Binary Prototypes | 2017 | 9 |
| 20 | Multiscale Quantization for Fast Similarity Search | 2017 | 27 |
About Ruiqi Guo
Ruiqi Guo is a scholar working on Civil and Structural Engineering, Building and Construction and Mechanics of Materials, having authored 30 papers that have together received 416 indexed citations. Recurring topics across this work include Innovative concrete reinforcement materials (9 papers), Structural Behavior of Reinforced Concrete (6 papers), Structural Response to Dynamic Loads (5 papers), Rock Mechanics and Modeling (4 papers), Concrete and Cement Materials Research (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers) and Grouting, Rheology, and Soil Mechanics (3 papers). The work is most often cited by research in Civil and Structural Engineering (257 citations), Building and Construction (96 citations) and Computer Vision and Pattern Recognition (53 citations). Ruiqi Guo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Du-min Kuang, Zhilin Long, Zhilin Long, Sanjiv Kumar, Huiqi Ren, Linjian Ma, Felix X. Yu, Tao Zhao, Kai Wu and Xiaowei Liu. Their work appears in journals such as Construction and Building Materials, Composite Structures and Powder Technology.
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.