Shangming Jiang

507 total citations · 1 hit paper
26 papers, 355 citations indexed

About

Shangming Jiang is a scholar working on Global and Planetary Change, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Shangming Jiang has authored 26 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 11 papers in Plant Science and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Shangming Jiang's work include Hydrology and Drought Analysis (10 papers), Climate change impacts on agriculture (9 papers) and Rice Cultivation and Yield Improvement (8 papers). Shangming Jiang is often cited by papers focused on Hydrology and Drought Analysis (10 papers), Climate change impacts on agriculture (9 papers) and Rice Cultivation and Yield Improvement (8 papers). Shangming Jiang collaborates with scholars based in China and Japan. Shangming Jiang's co-authors include Juliang Jin, Shaowei Ning, Yi Cui, Li Liu, Yuliang Zhou, Ping Feng, S. C. Yuan, Ling Ma, Nan Deng and Jiayi Peng and has published in prestigious journals such as PLoS ONE, Chemical Communications and Scientific Reports.

In The Last Decade

Shangming Jiang

24 papers receiving 349 citations

Hit Papers

Endoplasmic reticulum stress and therapeutic strategies i... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shangming Jiang China 9 172 110 62 42 37 26 355
Zunfu Lv China 14 358 2.1× 116 1.1× 230 3.7× 94 2.2× 36 1.0× 34 618
Wenlong Li China 14 420 2.4× 63 0.6× 36 0.6× 39 0.9× 195 5.3× 29 571
Guolei Li China 13 221 1.3× 89 0.8× 29 0.5× 19 0.5× 70 1.9× 61 465
Xiaoli Wei China 10 212 1.2× 63 0.6× 90 1.5× 22 0.5× 65 1.8× 34 316
Lijin Liu China 9 109 0.6× 26 0.2× 32 0.5× 79 1.9× 41 1.1× 26 397
Xiaoping Xue China 9 87 0.5× 35 0.3× 33 0.5× 24 0.6× 59 1.6× 24 223
Srinivasa R. Pinnamaneni United States 10 133 0.8× 106 1.0× 36 0.6× 38 0.9× 45 1.2× 29 328
Yanmei Gao China 11 284 1.7× 56 0.5× 45 0.7× 172 4.1× 34 0.9× 18 434
Prabhjyot Kaur India 8 167 1.0× 71 0.6× 118 1.9× 48 1.1× 22 0.6× 72 287
Rajneesh Kumar India 11 149 0.9× 19 0.2× 16 0.3× 30 0.7× 41 1.1× 42 315

Countries citing papers authored by Shangming Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Shangming Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangming Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Shangming Jiang. A scholar is included among the top collaborators of Shangming Jiang 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 Shangming Jiang. Shangming Jiang 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
2.
Cui, Yi, et al.. (2024). Accumulative and adaptive responses of maize transpiration, biomass, and yield under continuous drought stress. Frontiers in Sustainable Food Systems. 8. 2 indexed citations
3.
Jiang, Shangming, et al.. (2024). Association between serum cotinine and hepatic steatosis and liver fibrosis in adolescent: a population-based study in the United States. Scientific Reports. 14(1). 11424–11424. 7 indexed citations
4.
Yuan, S. C., et al.. (2024). Endoplasmic reticulum stress and therapeutic strategies in metabolic, neurodegenerative diseases and cancer. Molecular Medicine. 30(1). 40–40. 55 indexed citations breakdown →
5.
Jin, Juliang, Yi Cui, Shaowei Ning, et al.. (2023). Connection number structure-based information diffusion model for agricultural drought disaster risk assessment: A case study in Jianghuai watershed area. Ecological Indicators. 154. 110710–110710. 3 indexed citations
6.
Cui, Yi, Yuliang Zhou, Juliang Jin, et al.. (2023). Spatiotemporal characteristics and obstacle factors identification of agricultural drought disaster risk: A case study across Anhui Province, China. Agricultural Water Management. 289. 108554–108554. 7 indexed citations
7.
Jin, Juliang, Haichao Li, Yuliang Zhou, et al.. (2023). Assessment of Agricultural Drought Vulnerability Based on Crop Growth Stages: A Case Study of Huaibei Plain, China. International Journal of Disaster Risk Science. 14(2). 209–222. 9 indexed citations
8.
He, Hao, et al.. (2022). Characteristics of Winter Wheat Evapotranspiration in Eastern China and Comparative Evaluation of Applicability of Different Reference Evapotranspiration Models. Journal of soil science and plant nutrition. 22(2). 2078–2091. 6 indexed citations
9.
Zhang, Yuliang, Yuliang Zhou, Shangming Jiang, et al.. (2022). A Simulation Study Using Machine Learning and Formula Methods to Assess the Soybean Groundwater Contribution in a Drought-Prone Region. Water. 14(19). 3092–3092.
10.
Huang, Lei, Shangming Jiang, Bo Cai, et al.. (2021). pH-Triggered nanoreactors as oxidative stress amplifiers for combating multidrug-resistant biofilms. Chemical Communications. 57(38). 4662–4665. 8 indexed citations
11.
Cui, Yi, Shaowei Ning, Juliang Jin, et al.. (2020). Quantitative Lasting Effects of Drought Stress at a Growth Stage on Soybean Evapotranspiration and Aboveground BIOMASS. Water. 13(1). 18–18. 24 indexed citations
12.
Jiang, Shangming, et al.. (2019). Optimal Water Resources Regulation for the Pond Irrigation System Based on Simulation—A Case Study in Jiang-Huai Hilly Regions, China. International Journal of Environmental Research and Public Health. 16(15). 2717–2717. 7 indexed citations
13.
Cui, Yi, et al.. (2019). Estimation of maize evapotraspiration under drought stress - A case study of Huaibei Plain, China. PLoS ONE. 14(11). e0223756–e0223756. 6 indexed citations
14.
Jin, Juliang, et al.. (2019). Simulated Assessment of Summer Maize Drought Loss Sensitivity in Huaibei Plain, China. Agronomy. 9(2). 78–78. 27 indexed citations
15.
Zhang, Yuliang, Juliang Jin, Shangming Jiang, et al.. (2019). Quantitative Assessment Model for the Effects of Drought Mitigation on Regional Agriculture Based on an Expectation Index of Drought Mitigation Effects. Water. 11(3). 464–464. 6 indexed citations
16.
17.
Cui, Yi, Shangming Jiang, Juliang Jin, Shaowei Ning, & Ping Feng. (2018). Quantitative assessment of soybean drought loss sensitivity at different growth stages based on S-shaped damage curve. Agricultural Water Management. 213. 821–832. 41 indexed citations
18.
Jin, Juliang, Yi‐Ming Wei, Shangming Jiang, et al.. (2014). Integrated risk assessment method of waterlog disaster in Huaihe River Basin of China. Natural Hazards. 75(S2). 155–178. 19 indexed citations
19.
Jiang, Shangming. (2011). Drought index and drought prediction for rice. Water Resources and Hydropower Engineering. 5 indexed citations
20.
Jiang, Shangming. (2010). Logistic Forecast Model of Clear Energy Requirement Based on Genetic Algorithm. Water Resources and Power. 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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