Chula Sa

600 total citations
27 papers, 430 citations indexed

About

Chula Sa is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, Chula Sa has authored 27 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 12 papers in Atmospheric Science and 7 papers in Ecology. Recurrent topics in Chula Sa's work include Plant Water Relations and Carbon Dynamics (12 papers), Climate variability and models (9 papers) and Remote Sensing in Agriculture (7 papers). Chula Sa is often cited by papers focused on Plant Water Relations and Carbon Dynamics (12 papers), Climate variability and models (9 papers) and Remote Sensing in Agriculture (7 papers). Chula Sa collaborates with scholars based in China, Mongolia and Belgium. Chula Sa's co-authors include Min Luo, Fanhao Meng, Yuhai Bao, Tie Liu, Yongchao Duan, Philippe De Maeyer, Mulan Wang, Yunqian Wang, Siqin Tong and Fei Li and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Journal of Hydrology.

In The Last Decade

Chula Sa

24 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chula Sa China 10 294 170 159 84 66 27 430
Shan Yin China 12 377 1.3× 157 0.9× 233 1.5× 88 1.0× 54 0.8× 34 524
Xiaoyu Meng China 14 378 1.3× 207 1.2× 262 1.6× 79 0.9× 73 1.1× 24 587
Quanzhi Yuan China 11 366 1.2× 99 0.6× 227 1.4× 45 0.5× 53 0.8× 25 518
Panxing He China 13 402 1.4× 128 0.8× 119 0.7× 97 1.2× 88 1.3× 42 552
Deyong Yu China 11 390 1.3× 91 0.5× 203 1.3× 94 1.1× 57 0.9× 24 525
Shangyu Shi China 7 296 1.0× 98 0.6× 188 1.2× 83 1.0× 51 0.8× 16 396
Weixia Jiang China 9 373 1.3× 118 0.7× 184 1.2× 75 0.9× 79 1.2× 10 466
Xiaoming Cao China 11 226 0.8× 82 0.5× 158 1.0× 71 0.8× 53 0.8× 42 378
Wilson Kalisa China 10 319 1.1× 92 0.5× 131 0.8× 50 0.6× 57 0.9× 16 407
Xiang Song China 9 216 0.7× 164 1.0× 135 0.8× 43 0.5× 45 0.7× 19 408

Countries citing papers authored by Chula Sa

Since Specialization
Citations

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

Fields of papers citing papers by Chula Sa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chula Sa

This figure shows the co-authorship network connecting the top 25 collaborators of Chula Sa. A scholar is included among the top collaborators of Chula Sa 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 Chula Sa. Chula Sa 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.
2.
Zhang, Jingfang, Fanhao Meng, Min Luo, et al.. (2025). Grazing strategy shifts mitigate the negative effects of drought on grassland productivity in Inner Mongolia. Ecological Indicators. 178. 114098–114098.
3.
Meng, Fanhao, et al.. (2025). A three-dimensional perspective on how land use/cover change reshapes drought propagation under climate change?. Journal of Hydrology Regional Studies. 60. 102478–102478.
4.
Zhang, Jingfang, Fanhao Meng, Min Luo, et al.. (2025). Investigating spatiotemporal variability of drought and its impact on grassland GPP in Inner Mongolia. Journal of Arid Environments. 230. 105425–105425. 1 indexed citations
5.
Luo, Min, Fanhao Meng, Chula Sa, et al.. (2024). Detecting Drought-Related Temporal Effects on Global Net Primary Productivity. Remote Sensing. 16(20). 3787–3787. 3 indexed citations
6.
Meng, Fanhao, Min Luo, Chula Sa, et al.. (2024). Spatiotemporal Dynamics of Ecosystem Service Balance in the Beijing-Tianjin-Hebei Region and Its Ecological Security Barrier with Inner Mongolia. Atmosphere. 15(1). 76–76. 1 indexed citations
7.
Wang, Fang, Qing Song, Chula Sa, Quan Lai, & Chang An. (2024). Remote Sensing Evaluation of Trophic Status in the Daihai Lake Based on Fuzzy Classification. Water. 16(21). 3032–3032.
8.
Luo, Min, et al.. (2024). Spatiotemporal changes of gross primary productivity and its response to drought in the Mongolian Plateau under climate change. Journal of Arid Land. 16(1). 46–70. 6 indexed citations
9.
Luo, Min, Fanhao Meng, Yunqian Wang, et al.. (2023). Quantitative detection and attribution of soil moisture heterogeneity and variability in the Mongolian Plateau. Journal of Hydrology. 621. 129673–129673. 17 indexed citations
10.
Chen, Hongguang, Fanhao Meng, Chula Sa, et al.. (2023). Synergistic Change and Driving Mechanisms of Hydrological Processes and Ecosystem Quality in a Typical Arid and Semi-Arid Inland River Basin, China. Remote Sensing. 15(7). 1785–1785. 2 indexed citations
11.
Chen, Xiaoqi, Min Luo, Fanhao Meng, et al.. (2023). Quantifying the Contribution of Driving Factors on Distribution and Change of Net Primary Productivity of Vegetation in the Mongolian Plateau. Remote Sensing. 15(8). 1986–1986. 23 indexed citations
12.
Xie, Bo, Hui Guo, Fanhao Meng, Chula Sa, & Min Luo. (2023). Historical Evolution and Future Trends of Precipitation Based on Integrated Datasets and Model Simulations of Arid Central Asia. Remote Sensing. 15(23). 5460–5460. 3 indexed citations
13.
Meng, Fanhao, Min Luo, Yunqian Wang, et al.. (2023). Revisiting the main driving factors influencing the dynamics of gross primary productivity in the Mongolian Plateau. Agricultural and Forest Meteorology. 341. 109689–109689. 14 indexed citations
14.
Zhang, Xiang, Chula Sa, Fanhao Meng, et al.. (2023). Quantifying the Effects of Snow on the Beginning of Vegetation Growth in the Mongolian Plateau. Remote Sensing. 15(5). 1245–1245. 5 indexed citations
15.
Tong, Siqin, Gang Bao, Jiquan Chen, et al.. (2022). Spatiotemporal variation of autumn phenology responses to preseason drought and temperature in alpine and temperate grasslands in China. The Science of The Total Environment. 859(Pt 2). 160373–160373. 20 indexed citations
16.
Sa, Chula, et al.. (2021). Spatiotemporal variation in snow cover and its effects on grassland phenology on the Mongolian Plateau. Journal of Arid Land. 13(4). 332–349. 18 indexed citations
17.
Meng, Fanhao, Min Luo, Chula Sa, Mulan Wang, & Yuhai Bao. (2021). Quantitative assessment of the effects of climate, vegetation, soil and groundwater on soil moisture spatiotemporal variability in the Mongolian Plateau. The Science of The Total Environment. 809. 152198–152198. 60 indexed citations
18.
Luo, Min, Fanhao Meng, Chula Sa, et al.. (2021). Response of vegetation phenology to soil moisture dynamics in the Mongolian Plateau. CATENA. 206. 105505–105505. 101 indexed citations
19.
Luo, Min, Chula Sa, Fanhao Meng, et al.. (2020). Assessing remotely sensed and reanalysis products in characterizing surface soil moisture in the Mongolian Plateau. International Journal of Digital Earth. 14(10). 1255–1272. 20 indexed citations
20.

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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