Liang Hong

561 total citations
40 papers, 412 citations indexed

About

Liang Hong is a scholar working on Atmospheric Science, Media Technology and Global and Planetary Change. According to data from OpenAlex, Liang Hong has authored 40 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atmospheric Science, 16 papers in Media Technology and 14 papers in Global and Planetary Change. Recurrent topics in Liang Hong's work include Remote Sensing and Land Use (18 papers), Remote-Sensing Image Classification (16 papers) and Land Use and Ecosystem Services (8 papers). Liang Hong is often cited by papers focused on Remote Sensing and Land Use (18 papers), Remote-Sensing Image Classification (16 papers) and Land Use and Ecosystem Services (8 papers). Liang Hong collaborates with scholars based in China, United States and Bulgaria. Liang Hong's co-authors include Haifeng Li, Xiaoming Mei, Chao Tao, Li Chen, Xiaolu Zhou, Yi Luo, Kun Yang, Meng Zhang, Corinna Stewart and A‐Xing Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Liang Hong

33 papers receiving 399 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liang Hong China 9 192 158 69 68 58 40 412
Qin Dai China 11 123 0.6× 98 0.6× 60 0.9× 60 0.9× 47 0.8× 62 344
Ya Guo China 10 237 1.2× 145 0.9× 71 1.0× 86 1.3× 94 1.6× 26 397
Muying Luo China 7 182 0.9× 109 0.7× 40 0.6× 73 1.1× 82 1.4× 12 316
Shuhei Hikosaka Japan 7 181 0.9× 74 0.5× 57 0.8× 105 1.5× 63 1.1× 9 290
Quanhua Zhao China 10 138 0.7× 115 0.7× 57 0.8× 66 1.0× 69 1.2× 43 343
Xizhe Xue China 7 193 1.0× 169 1.1× 56 0.8× 84 1.2× 88 1.5× 13 461
Bo Dang China 10 115 0.6× 96 0.6× 76 1.1× 35 0.5× 63 1.1× 20 353
Maria Vakalopoulou France 10 249 1.3× 116 0.7× 56 0.8× 129 1.9× 57 1.0× 16 437

Countries citing papers authored by Liang Hong

Since Specialization
Citations

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

Fields of papers citing papers by Liang Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Hong

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

All Works

20 of 20 papers shown
1.
Hong, Liang, et al.. (2025). Development of a high-resolution dataset of future monthly surface solar radiation by combining CMIP6 projections and satellite-based retrievals. Advances in Climate Change Research. 16(2). 298–311. 1 indexed citations
2.
Hong, Liang, et al.. (2025). Correction of Laser Footprint Positioning Errors in Mountainous Forest Areas Based on the Minimizing the Sum of Satellite–Earth Laser Ranging Residuals. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13. 1 indexed citations
5.
Chen, Jie, Ya Guo, Liang Hong, et al.. (2024). Unsupervised Domain Adaptation for Building Extraction of High-Resolution Remote Sensing Imagery Based on Decoupling Style and Semantic Features. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 10 indexed citations
8.
Guo, Ya, et al.. (2024). Causal Prototype-Inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-Resolution Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 3 indexed citations
9.
Hong, Liang, et al.. (2024). A New Classification Rule-Set for Mapping Surface Water in Complex Topographical Regions Using Sentinel-2 Imagery. Water. 16(7). 943–943. 1 indexed citations
10.
Hong, Liang, et al.. (2023). Global evaluation of simulated surface shortwave radiation in CMIP6 models. Atmospheric Research. 292. 106896–106896. 12 indexed citations
11.
Hong, Liang, et al.. (2022). Classification of high spatial resolution remote sensing imagery based on object-oriented multi-scale weighted sparse representation. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Hong, Liang, et al.. (2021). Automated Extraction of Lake Water Bodies in Complex Geographical Environments by Fusing Sentinel-1/2 Data. Water. 14(1). 30–30. 14 indexed citations
14.
Hong, Liang, Yajun Huang, & Shuangyun Peng. (2020). Monitoring the trends of water-erosion desertification on the Yunnan-Guizhou Plateau, China from 1989 to 2016 using time-series Landsat images. PLoS ONE. 15(2). e0227498–e0227498. 10 indexed citations
15.
Li, Haifeng, et al.. (2020). SCAttNet: Semantic Segmentation Network With Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 18(5). 905–909. 221 indexed citations
16.
Hong, Liang, et al.. (2020). Spatiotemporal Patterns of Impervious Surface Area and Water Quality Response in the Fuxian Lake Watershed. Journal of Environmental and Public Health. 2020. 1–12. 2 indexed citations
17.
Li, Qi, Liang Hong, & Huiling Sun. (2020). Rural settlements extraction based on deep learning from high spatial resolution remote sensing imagery. 12–12. 1 indexed citations
18.
Liu, Chun, et al.. (2015). Fusion of pixel-based and multi-scale region-based features for the classification of high-resolution remote sensing image. National Remote Sensing Bulletin. 19(2). 228–239. 13 indexed citations
19.
Hong, Liang, et al.. (2014). A new regional shape index for classification of high resolution remote sensing images. 2. 156–160. 5 indexed citations
20.
Hong, Liang, et al.. (2013). Object-oriented Markov random model for classification of high resolution satellite imagery based on wavelet transform. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8878. 887838–887838. 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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