Renyi Liu

2.3k total citations
98 papers, 1.6k citations indexed

About

Renyi Liu is a scholar working on Global and Planetary Change, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Renyi Liu has authored 98 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Global and Planetary Change, 18 papers in Artificial Intelligence and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Renyi Liu's work include Data Management and Algorithms (14 papers), Advanced Computational Techniques and Applications (12 papers) and Land Use and Ecosystem Services (11 papers). Renyi Liu is often cited by papers focused on Data Management and Algorithms (14 papers), Advanced Computational Techniques and Applications (12 papers) and Land Use and Ecosystem Services (11 papers). Renyi Liu collaborates with scholars based in China, United States and France. Renyi Liu's co-authors include Zhenhong Du, Feng Zhang, Sensen Wu, Zhongyi Wang, Mengjiao Qin, Yukun An, Linshu Hu, Wenwen Li, Xinyue Ye and Bo Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Renyi Liu

88 papers receiving 1.5k citations

Peers

Renyi Liu

GPC

TRANS

Zhenhong Du China

Maria Antonia Brovelli Italy

Yaohuan Huang China

Dursun Zafer Şeker Türkiye

Linwang Yuan China

Zhaoyuan Yu China

Zhixiao Xie United States

Yuanyuan Wang China

LI Deren China

Zhenhong Du China

Renyi Liu

525 ×1.3

GPC

488 ×1.5

290 ×1.3

340 ×1.5

245 ×1.2

TRANS

Citations per year, relative to Renyi Liu Renyi Liu (= 1×) peers Zhenhong Du

Countries citing papers authored by Renyi Liu

Since Specialization

Citations

This map shows the geographic impact of Renyi Liu'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 Renyi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renyi Liu more than expected).

Fields of papers citing papers by Renyi Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renyi Liu. 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 Renyi Liu. The network helps show where Renyi Liu may publish in the future.

Co-authorship network of co-authors of Renyi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Renyi Liu. A scholar is included among the top collaborators of Renyi Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Renyi Liu. Renyi Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hu, Linshu, et al.. (2025). TBSI: a Transformer-based spatial learned index for efficient construction and query. International Journal of Geographical Information Systems. 1–29.

Wang, Jihan, et al.. (2024). Spatial Downscaling of Nighttime Land Surface Temperature Based on Geographically Neural Network Weighted Regression Kriging. Remote Sensing. 16(14). 2542–2542. 3 indexed citations

Wu, Sensen, et al.. (2024). ENSO Forecasts With Spatiotemporal Fusion Transformer Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 17066–17074. 2 indexed citations

Jin, Qi, et al.. (2024). An LLM-Based Inventory Construction Framework of Urban Ground Collapse Events with Spatiotemporal Locations. ISPRS International Journal of Geo-Information. 13(4). 133–133. 9 indexed citations

Chen, Huan, Sensen Wu, Takeshi Kuritani, et al.. (2024). Machine learning reveals the influence of the Changbaishan mantle plume sourced from the mantle transition zone on Cenozoic intraplate magmatism in NE China. Chemical Geology. 663. 122282–122282.

Hu, Linshu, et al.. (2023). SLBRIN: A Spatial Learned Index Based on BRIN. ISPRS International Journal of Geo-Information. 12(4). 171–171. 7 indexed citations

Qin, Mengjiao, et al.. (2023). A Graph Memory Neural Network for Sea Surface Temperature Prediction. Remote Sensing. 15(14). 3539–3539. 10 indexed citations

Zhang, Feng, Chuanrong Zhang, Ninghua Chen, et al.. (2021). Deep Understanding of Urban Dynamics from Imprint Urban Toponymic Data Using a Spatial–Temporal–Semantic Analysis Approach. ISPRS International Journal of Geo-Information. 10(5). 278–278. 2 indexed citations

Shi, Lingfei, Feng Zhang, Junshi Xia, et al.. (2021). Identifying Damaged Buildings in Aerial Images Using the Object Detection Method. Remote Sensing. 13(21). 4213–4213. 24 indexed citations

10.

Zhang, Feng, et al.. (2021). Forecasting PM2.5 using hybrid graph convolution-based model considering dynamic wind-field to offer the benefit of spatial interpretability. Environmental Pollution. 273. 116473–116473. 44 indexed citations

11.

Fu, Zhiyi, Linshu Hu, Feng Zhang, et al.. (2020). Estimating spatial and temporal variation in ocean surface pCO2 in the Gulf of Mexico using remote sensing and machine learning techniques. The Science of The Total Environment. 745. 140965–140965. 25 indexed citations

12.

Du, Zhenhong, Sensen Wu, Mei‐Po Kwan, et al.. (2018). A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, China. International Journal of Geographical Information Systems. 32(10). 1927–1947. 22 indexed citations

13.

Kang, Junfeng, et al.. (2018). Vector Spatial Big Data Storage and Optimized Query Based on the Multi-Level Hilbert Grid Index in HBase. Information. 9(5). 116–116. 11 indexed citations

14.

Zhang, Feng, et al.. (2016). Research of Cadastral Data Modelling and Database Updating Based on Spatio-temporal Process. SHILAP Revista de lepidopterología.

15.

Liu, Renyi, et al.. (2011). Land Utilization Statistics Method based on Multi-grid Environment. Acta Scientiarum Naturalium Universitatis Sunyatseni. 50(3). 118. 1 indexed citations

16.

Liu, Renyi. (2010). Research into dynamic map service management object model.. Journal of Zhejiang University(Science Edition).

17.

Su, Chao‐Yueh, et al.. (2010). A three‐year follow‐up study of the psychosocial predictors of delayed and unresolved post‐traumatic stress disorder in Taiwan Chi‐Chi earthquake survivors. Psychiatry and Clinical Neurosciences. 64(3). 239–248. 37 indexed citations

18.

Liu, Renyi, et al.. (2005). A spatial-temporal system for dynamic cadastral management. Journal of Environmental Management. 78(4). 373–381. 11 indexed citations

19.

Liu, Renyi, et al.. (2004). Geo-spatial data management in multi-servers cluster based. 1 indexed citations

20.

Liu, Renyi, et al.. (2004). Global marine environment observation data (ARGO)and ARGOGIS. Ziran zaihai xuebao. 1 indexed citations

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.

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