Tiangang Liang

1.8k total citations
66 papers, 1.4k citations indexed

About

Tiangang Liang is a scholar working on Ecology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Tiangang Liang has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Ecology, 27 papers in Global and Planetary Change and 19 papers in Atmospheric Science. Recurrent topics in Tiangang Liang's work include Remote Sensing in Agriculture (39 papers), Land Use and Ecosystem Services (16 papers) and Remote Sensing and LiDAR Applications (15 papers). Tiangang Liang is often cited by papers focused on Remote Sensing in Agriculture (39 papers), Land Use and Ecosystem Services (16 papers) and Remote Sensing and LiDAR Applications (15 papers). Tiangang Liang collaborates with scholars based in China, United States and Estonia. Tiangang Liang's co-authors include Qisheng Feng, Hongjie Xie, J. Ge, Jinlong Gao, Mengjing Hou, Baoping Meng, Baokang Liu, Wenjuan Zhang, Jianlong Li and Jianpeng Yin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecology and The Science of The Total Environment.

In The Last Decade

Tiangang Liang

61 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiangang Liang China 19 901 665 408 287 234 66 1.4k
Qisheng Feng China 20 853 0.9× 697 1.0× 452 1.1× 547 1.9× 232 1.0× 49 1.6k
Xiuchun Yang China 20 790 0.9× 719 1.1× 373 0.9× 254 0.9× 222 0.9× 56 1.3k
Hammad Gilani Nepal 21 607 0.7× 813 1.2× 387 0.9× 142 0.5× 160 0.7× 44 1.4k
Peter Scarth Australia 21 990 1.1× 716 1.1× 760 1.9× 207 0.7× 114 0.5× 67 1.6k
Olena Dubovyk Germany 26 852 0.9× 997 1.5× 290 0.7× 263 0.9× 301 1.3× 69 1.8k
Laurence Hubert‐Moy France 21 818 0.9× 615 0.9× 430 1.1× 193 0.7× 84 0.4× 80 1.5k
João M. N. Silva Portugal 25 941 1.0× 1.5k 2.2× 457 1.1× 318 1.1× 177 0.8× 64 1.9k
Achim Röder Germany 21 936 1.0× 1.1k 1.6× 331 0.8× 157 0.5× 287 1.2× 41 1.6k
Lijun Chen China 12 1.0k 1.2× 1.1k 1.6× 397 1.0× 470 1.6× 124 0.5× 42 2.0k
R. Douglas Ramsey United States 21 736 0.8× 627 0.9× 370 0.9× 128 0.4× 153 0.7× 70 1.3k

Countries citing papers authored by Tiangang Liang

Since Specialization
Citations

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

Fields of papers citing papers by Tiangang Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiangang Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Tiangang Liang. A scholar is included among the top collaborators of Tiangang Liang 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 Tiangang Liang. Tiangang Liang 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.
Fu, Shuai, et al.. (2025). Improving the estimation of alfalfa yield based on multi-source satellite data and the synthetic minority oversampling strategy. Computers and Electronics in Agriculture. 236. 110497–110497.
2.
Liu, Jie, Shuai Fu, Jinlong Gao, et al.. (2024). Estimating alfalfa fiber components using machine learning algorithms based on in situ hyperspectral and Sentinel-2 data in the Hexi Corridor region. Computers and Electronics in Agriculture. 226. 109394–109394. 4 indexed citations
3.
Gao, Jinlong, Tiangang Liang, Dongmei Zhang, et al.. (2024). Hyperspectral remote sensing of forage stoichiometric ratios in the senescent stage of alpine grasslands. Field Crops Research. 313. 109427–109427. 4 indexed citations
4.
5.
Ge, J., Mengjing Hou, Qisheng Feng, et al.. (2023). Model Construction and System Design of Natural Grassland-Type Recognition Based on Deep Learning. Remote Sensing. 15(4). 1045–1045. 1 indexed citations
6.
Zhang, Yuzhuo, et al.. (2023). A transformer-based image detection method for grassland situation of alpine meadows. Computers and Electronics in Agriculture. 210. 107919–107919. 5 indexed citations
7.
Lin, Huilong, et al.. (2021). A new net primary productivity model and new management strategy of grassland classification based on CSCS in China. The Rangeland Journal. 43(6). 285–295. 7 indexed citations
8.
Hou, Mengjing, Jinlong Gao, J. Ge, et al.. (2020). An analysis of dynamic changes and their driving factors in marsh wetlands in the eastern Qinghai-Tibet Plateau. Acta Pratacultural Science. 29(1). 13. 4 indexed citations
9.
Gao, Jinlong, et al.. (2020). Hyperspectral remote sensing progress for forage nutritional quality and quantity in natural grassland. Acta Pratacultural Science. 29(2). 172–185. 1 indexed citations
10.
Zhang, Renping, Jing Guo, Tiangang Liang, & Qisheng Feng. (2019). Grassland vegetation phenological variations and responses to climate change in the Xinjiang region, China. Quaternary International. 513. 56–65. 37 indexed citations
11.
Liang, Tiangang, et al.. (2017). Sustainable development of the alpine pastoral region in the eastern Tibetan Plateau based on the emergy ecological footprint model.. Acta Pratacultural Science. 26(4). 1–14. 3 indexed citations
12.
Liang, Tiangang, et al.. (2016). Development and Validation for Daily Cloud-Free Snow Products in Middle-and-high Latitude Areas in Eurasia. Yaogan jishu yu yingyong. 31(5). 1013–1021. 6 indexed citations
13.
Liang, Tiangang. (2013). Monitoring grassland rodents with 3S technologies. Acta Pratacultural Science. 3 indexed citations
14.
Liang, Tiangang. (2013). Spatial Heterogeneity of Soil N/P Ratio on Gannan Plateau. Acta Agrestia Sinica. 1 indexed citations
15.
Liang, Tiangang. (2013). Distribution of the existing natural vegetation in China based on CSCS. Acta Pratacultural Science. 2 indexed citations
16.
Liang, Tiangang, et al.. (2011). Study on grassland's responses to global climate change and its carbon sequestration potentials.. Acta Pratacultural Science. 20(2). 1–22. 13 indexed citations
17.
Li, Wenlong, et al.. (2009). Dynamic simulation of wheat and alfalfa rust, based on metapopulation model.. Acta Pratacultural Science. 18(2). 46–51. 1 indexed citations
18.
Liang, Tiangang, et al.. (2004). A GIS‐based expert system for pastoral agricultural development in Gansu Province, PR China. New Zealand Journal of Agricultural Research. 47(3). 313–325. 6 indexed citations
19.
Liang, Tiangang, et al.. (2003). Classification management for grassland in Gansu Province, China. New Zealand Journal of Agricultural Research. 46(2). 123–131. 15 indexed citations
20.
Li, Jianlong, Tiangang Liang, & Chen Quan-gong. (1998). Estimating grassland yields using remote sensing and GIS technologies in China. New Zealand Journal of Agricultural Research. 41(1). 31–38. 34 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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