Guo Mao

674 total citations · 1 hit paper
16 papers, 506 citations indexed

About

Guo Mao is a scholar working on Ecology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Guo Mao has authored 16 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ecology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Guo Mao's work include Remote-Sensing Image Classification (3 papers), Remote Sensing in Agriculture (2 papers) and MicroRNA in disease regulation (2 papers). Guo Mao is often cited by papers focused on Remote-Sensing Image Classification (3 papers), Remote Sensing in Agriculture (2 papers) and MicroRNA in disease regulation (2 papers). Guo Mao collaborates with scholars based in China, Switzerland and South Africa. Guo Mao's co-authors include Chenghu Zhou, Lei Zhang, Lin Yang, Feixue Shen, Thomas W. Crowther, Manchun Li, Constantin M. Zohner, Ling Yao, Jun Qin and Xiaoqiang Lu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Science Advances.

In The Last Decade

Guo Mao

16 papers receiving 500 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Direct and indirect impacts of urbanization on vegetation growth across the world’s cities

2022 230 citations Lei Zhang, Lin Yang et al. Science Advances profile →

Peers

Guo Mao

GPC

EE

ECOLO

HTM

CVPR

Biyun Guo China

Zhangquan Shen China

Jiancheng Luo China

Yugang Tian China

Dongbo Zhou China

Le’an Qu China

Huaqiao Xing China

Ram C. Sharma Japan

Zhenjie Liu China

Thilo Wellmann Germany

Biyun Guo China

Guo Mao

276 ×1.2

GPC

122 ×0.6

EE

123 ×1.0

ECOLO

54 ×0.5

HTM

30 ×0.4

CVPR

Citations per year, relative to Guo Mao Guo Mao (= 1×) peers Biyun Guo

Countries citing papers authored by Guo Mao

Since Specialization

Citations

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

Fields of papers citing papers by Guo Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Guo Mao. A scholar is included among the top collaborators of Guo Mao 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 Guo Mao. Guo Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

1.

Cui, Jian, et al.. (2025). MCKTNet: Multiscale Cross-Modal Knowledge Transfer Network for Semantic Segmentation of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 2 indexed citations

2.

Mao, Guo, Lin Yang, Lei Zhang, et al.. (2024). Hydrology, vegetation, and soil properties as key drivers of soil organic carbon in coastal wetlands: A high-resolution study. Environmental Science and Ecotechnology. 23. 100482–100482. 16 indexed citations

3.

Liu, Jiahang, et al.. (2023). Shadow Detection in Remote Sensing Images Based on Spectral Radiance Separability Enhancement. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 3438–3449. 6 indexed citations

4.

Mao, Guo. (2023). Proof of Two Supercongruences of Truncated Hypergeometric Series 4F3. Acta Mathematica Sinica English Series. 40(4). 1015–1028. 2 indexed citations

5.

Shen, Feixue, et al.. (2022). Quantifying the direct effects of long-term dynamic land use intensity on vegetation change and its interacted effects with economic development and climate change in jiangsu, China. Journal of Environmental Management. 325(Pt B). 116562–116562. 33 indexed citations

6.

Mao, Guo, Lin Yang, Feixue Shen, et al.. (2022). Impact of socio-economic environment and its interaction on the initial spread of COVID-19 in mainland China. Geospatial health. 17(s1). 3 indexed citations

7.

Zhang, Lei, Lin Yang, Constantin M. Zohner, et al.. (2022). Direct and indirect impacts of urbanization on vegetation growth across the world’s cities. Science Advances. 8(27). eabo0095–eabo0095. 230 indexed citations breakdown →

8.

Wu, Qi, Shiqi Miao, Guo Mao, et al.. (2022). Quantitative Analysis on Coastline Changes of Yangtze River Delta Based on High Spatial Resolution Remote Sensing Images. Remote Sensing. 14(2). 310–310. 17 indexed citations

9.

Yang, Lin, Yanyan Cai, Lei Zhang, et al.. (2021). A deep learning method to predict soil organic carbon content at a regional scale using satellite-based phenology variables. International Journal of Applied Earth Observation and Geoinformation. 102. 102428–102428. 80 indexed citations

10.

Mao, Guo, et al.. (2019). Prediction of Potential Associations Between MicroRNA and Disease Based on Bayesian Probabilistic Matrix Factorization Model. Journal of Computational Biology. 26(9). 1030–1039. 5 indexed citations

11.

Wen, Li, Shulin Wang, Junlin Xu, et al.. (2019). Inferring Latent Disease-lncRNA Associations by Faster Matrix Completion on a Heterogeneous Network. Frontiers in Genetics. 10. 769–769. 12 indexed citations

12.

Mao, Guo, Chenghu Zhou, & Jiahang Liu. (2019). Jointly Learning of Visual and Auditory: A New Approach for RS Image and Audio Cross-Modal Retrieval. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(11). 4644–4654. 37 indexed citations

13.

Liu, Fangfang, Hongfeng Zhang, Fan Hu, et al.. (2019). Coexpression network analysis of platelet genes in sickle cell disease. Platelets. 30(8). 1022–1029. 6 indexed citations

14.

Mao, Guo, Yuan Yuan, & Xiaoqiang Lu. (2018). Deep Cross-Modal Retrieval for Remote Sensing Image and Audio. Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics). 1–7. 48 indexed citations

15.

Mao, Guo. (2007). ADE-Tri-training:Tri-training with Adaptive Data Editing. 6 indexed citations

16.

Mao, Guo. (2002). RESEARCH ON Q-LEARNING ALGORITHM BASED ON METROPOLIS CRITERION. 3 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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