Qinsi He

758 total citations
19 papers, 521 citations indexed

About

Qinsi He is a scholar working on Soil Science, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, Qinsi He has authored 19 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Soil Science, 9 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Plant Science. Recurrent topics in Qinsi He's work include Climate change impacts on agriculture (8 papers), Soil Carbon and Nitrogen Dynamics (7 papers) and Greenhouse Technology and Climate Control (4 papers). Qinsi He is often cited by papers focused on Climate change impacts on agriculture (8 papers), Soil Carbon and Nitrogen Dynamics (7 papers) and Greenhouse Technology and Climate Control (4 papers). Qinsi He collaborates with scholars based in China, Australia and United States. Qinsi He's co-authors include Qiang Yu, Yu Shi, Chao Yue, De Li Liu, Xuanlong Ma, Ning Jin, Puyu Feng, Linchao Li, Jianqiang He and Bin Wang and has published in prestigious journals such as Nature Communications, Ecology and Agriculture Ecosystems & Environment.

In The Last Decade

Qinsi He

17 papers receiving 507 citations

Peers

Qinsi He

ECOLO

GPC

EEBS

Hrvoje Marjanović Croatia

Lorenzo Seguini Italy

Yinsuo Zhang Canada

Cathleen Frühauf Germany

Syeda Refat Sultana Pakistan

Aldrin Martin Pérez-Marin Brazil

C. Rebella Argentina

Johannes Wilhelmus Maria Pullens Denmark

Matthias Langensiepen Germany

Reinder De Jong Canada

Hrvoje Marjanović Croatia

Qinsi He

142 ×0.7

265 ×1.3

ECOLO

299 ×1.5

GPC

117 ×1.0

98 ×0.9

EEBS

Citations per year, relative to Qinsi He Qinsi He (= 1×) peers Hrvoje Marjanović

Countries citing papers authored by Qinsi He

Since Specialization

Citations

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

Fields of papers citing papers by Qinsi He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinsi He

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

All Works

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19 of 19 papers shown

He, Qinsi, Linchao Li, Yu Shi, et al.. (2025). Soil organic carbon improvement for mitigating crop yield losses under global warming. European Journal of Agronomy. 170. 127739–127739.

He, Qinsi, Chaoqun Lü, Annette Cowie, et al.. (2025). Optimizing cover cropping application for sustainable crop production. UWA Profiles and Research Repository (University of Western Australia). 3(1). 7 indexed citations

Zhang, Qichun, Steven J. Hall, Xiang Zou, et al.. (2025). Biochar stimulates nitrogen loss in anoxic soil through ammonium oxidation coupled with iron reduction. Geoderma. 459. 117372–117372. 1 indexed citations

Li, Linchao, Bin Wang, Puyu Feng, et al.. (2025). Global warming increases the risk of crop yield failures driven by climate oscillations. One Earth. 8(6). 101318–101318.

Zhao, Gang, Qi Tian, Xiaofeng Kang, et al.. (2024). Overcoming mechanistic limitations of process-based phenological models: A data clustering method for large-scale applications. Agricultural and Forest Meteorology. 356. 110167–110167. 5 indexed citations

He, Qinsi, et al.. (2024). Grassland irrigation and grazing prohibition have significantly affected vegetation and microbial diversity by changing soil temperature and moisture, evidences from a 6 years experiment of typical temperate grassland. Agriculture Ecosystems & Environment. 380. 109414–109414. 3 indexed citations

Li, Linchao, Qinsi He, Matthew Tom Harrison, et al.. (2024). Knowledge-guided machine learning for improving crop yield projections of waterlogging effects under climate change. Resources Environment and Sustainability. 19. 100185–100185. 14 indexed citations

He, Qinsi, De Li Liu, Bin Wang, et al.. (2024). A food-energy-water-carbon nexus framework informs region-specific optimal strategies for agricultural sustainability. Resources Conservation and Recycling. 203. 107428–107428. 25 indexed citations

Qiu, Tianyi, Yu Shi, Josep Peñuelas, et al.. (2024). Optimizing cover crop practices as a sustainable solution for global agroecosystem services. Nature Communications. 15(1). 10617–10617. 26 indexed citations

10.

Hu, Zhenhong, Marcos Fernández‐Martínez, Qinsi He, et al.. (2024). Fungal composition associated with host tree identity mediates nutrient addition effects on wood microbial respiration. Ecology. 105(8). e4375–e4375. 6 indexed citations

11.

Li, Linchao, Yan Zhang, Bin Wang, et al.. (2023). Integrating machine learning and environmental variables to constrain uncertainty in crop yield change projections under climate change. European Journal of Agronomy. 149. 126917–126917. 29 indexed citations

12.

Li, Linchao, Bin Wang, Puyu Feng, et al.. (2023). The optimization of model ensemble composition and size can enhance the robustness of crop yield projections. Communications Earth & Environment. 4(1). 13 indexed citations

13.

He, Qinsi, De Li Liu, Bin Wang, et al.. (2023). Modelling interactions between cowpea cover crops and residue retention in Australian dryland cropping systems under climate change. Agriculture Ecosystems & Environment. 353. 108536–108536. 13 indexed citations

14.

He, Qinsi, De Li Liu, Bin Wang, et al.. (2022). Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia. Agricultural Systems. 203. 103527–103527. 22 indexed citations

15.

Li, Linchao, Bin Wang, Puyu Feng, et al.. (2022). Developing machine learning models with multi-source environmental data to predict wheat yield in China. Computers and Electronics in Agriculture. 194. 106790–106790. 78 indexed citations

16.

Li, Linchao, Bin Wang, Puyu Feng, et al.. (2021). Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China. Agricultural and Forest Meteorology. 308-309. 108558–108558. 81 indexed citations

17.

Shi, Yu, Ning Jin, Xuanlong Ma, et al.. (2020). Attribution of climate and human activities to vegetation change in China using machine learning techniques. Agricultural and Forest Meteorology. 294. 108146–108146. 133 indexed citations

18.

He, Qinsi, et al.. (2020). Performance assessment of the AquaCrop model for film-mulched maize with full drip irrigation in Northwest China. Irrigation Science. 39(2). 277–292. 12 indexed citations

19.

He, Qinsi, Sien Li, Shaozhong Kang, Hanbo Yang, & Shujing Qin. (2018). Simulation of water balance in a maize field under film-mulching drip irrigation. Agricultural Water Management. 210. 252–260. 53 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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