Xin‐Min Zeng

766 total citations
42 papers, 609 citations indexed

About

Xin‐Min Zeng is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Xin‐Min Zeng has authored 42 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Global and Planetary Change, 30 papers in Atmospheric Science and 8 papers in Water Science and Technology. Recurrent topics in Xin‐Min Zeng's work include Climate variability and models (29 papers), Meteorological Phenomena and Simulations (20 papers) and Plant Water Relations and Carbon Dynamics (8 papers). Xin‐Min Zeng is often cited by papers focused on Climate variability and models (29 papers), Meteorological Phenomena and Simulations (20 papers) and Plant Water Relations and Carbon Dynamics (8 papers). Xin‐Min Zeng collaborates with scholars based in China, United States and Pakistan. Xin‐Min Zeng's co-authors include Yiqun Zheng, Yonghong Zheng, S. S. Jiang, Bin Yong, Fei Yuan, Yi Liu, Jian Zhu, Chong‐Yu Xu, Chaohui Chen and Liliang Ren and has published in prestigious journals such as Geophysical Research Letters, Journal of Hydrology and Atmospheric chemistry and physics.

In The Last Decade

Xin‐Min Zeng

37 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin‐Min Zeng China 15 454 421 103 82 46 42 609
Viorica Nagavciuc Romania 16 559 1.2× 411 1.0× 97 0.9× 45 0.5× 48 1.0× 40 732
Lianmei Yang China 13 580 1.3× 559 1.3× 128 1.2× 75 0.9× 25 0.5× 45 760
Xuefeng Guan China 6 385 0.8× 317 0.8× 131 1.3× 36 0.4× 20 0.4× 8 534
Yafen Zhu China 10 408 0.9× 325 0.8× 66 0.6× 26 0.3× 49 1.1× 15 566
N. de Noblet‐Ducoudré France 6 567 1.2× 342 0.8× 47 0.5× 120 1.5× 30 0.7× 10 672
Julie Kalansky United States 10 325 0.7× 290 0.7× 85 0.8× 24 0.3× 18 0.4× 14 476
Duo Chu China 13 380 0.8× 394 0.9× 130 1.3× 79 1.0× 42 0.9× 34 624
Sudip Chakraborty United States 7 416 0.9× 181 0.4× 65 0.6× 29 0.4× 45 1.0× 13 498
Simon Wild United Kingdom 11 483 1.1× 461 1.1× 27 0.3× 46 0.6× 21 0.5× 16 598
Bolívar Cáceres France 9 264 0.6× 428 1.0× 58 0.6× 22 0.3× 29 0.6× 21 590

Countries citing papers authored by Xin‐Min Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Xin‐Min Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin‐Min Zeng. 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 Xin‐Min Zeng. The network helps show where Xin‐Min Zeng may publish in the future.

Co-authorship network of co-authors of Xin‐Min Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Xin‐Min Zeng. A scholar is included among the top collaborators of Xin‐Min Zeng 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 Xin‐Min Zeng. Xin‐Min Zeng 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.
Zeng, Xin‐Min, et al.. (2025). Attributing spatiotemporal evolution and driving factors of meteorological drought across Yangtze River Basin, China. Atmospheric Research. 323. 108155–108155. 5 indexed citations
2.
3.
Ullah, Irfan, Xin‐Min Zeng, Sidra Syed, et al.. (2025). A multivariate framework for assessing propagation thresholds from meteorological to hydrological drought across indus river Basins-South Asia. Stochastic Environmental Research and Risk Assessment. 39(11). 5415–5433.
4.
Ullah, Irfan, Xin‐Min Zeng, Sidra Syed, et al.. (2025). How Significant is Projected Drought Risk in Pakistan Under a Warmer Climate?. Earth Systems and Environment. 9(4). 3531–3550. 2 indexed citations
5.
Zeng, Xin‐Min, et al.. (2024). Attribution of Moisture Sources for Summer Precipitation in the Upstream Catchment of the Three Gorges Dam. Journal of Hydrometeorology. 25(2). 353–369. 14 indexed citations
6.
Huang, Shengzhi, et al.. (2024). Spatiotemporal desynchronization in the propagation from meteorological to soil moisture drought in the Loess Plateau, China. Journal of Hydrology Regional Studies. 56. 102025–102025. 1 indexed citations
7.
Zeng, Xin‐Min, et al.. (2024). Impacts of Land–Atmosphere Interactions on Boundary Layer Variables: A Classification Perspective from Modeling Approaches. Atmosphere. 15(6). 650–650. 3 indexed citations
8.
Ullah, Irfan, Xin‐Min Zeng, Sourav Mukherjee, et al.. (2023). Future Amplification of Multivariate Risk of Compound Drought and Heatwave Events on South Asian Population. Earth s Future. 11(12). 42 indexed citations
9.
Ullah, Irfan, Xin‐Min Zeng, Saadia Hina, et al.. (2023). Recent and projected changes in water scarcity and unprecedented drought events over Southern Pakistan. Frontiers in Earth Science. 11. 18 indexed citations
10.
Jiang, S. S., Liliang Ren, Chong‐Yu Xu, et al.. (2018). Statistical and hydrological evaluation of the latest Integrated Multi-satellitE Retrievals for GPM (IMERG) over a midlatitude humid basin in South China. Atmospheric Research. 214. 418–429. 82 indexed citations
11.
Zeng, Xin‐Min, Weidong Guo, Chaohui Chen, et al.. (2018). Quantitative diagnosis of moisture sources and transport pathways for summer precipitation over the mid-lower Yangtze River Basin. Journal of Hydrology. 559. 252–265. 36 indexed citations
12.
Wang, Ning, Xin‐Min Zeng, Yiqun Zheng, Jian Zhu, & S. S. Jiang. (2018). The Atmospheric Moisture Residence Time and Reference Time for Moisture Tracking over China. Journal of Hydrometeorology. 19(7). 1131–1147. 22 indexed citations
13.
14.
Ma, Yufei, et al.. (2017). Impact of the Choice of Land Surface Scheme on a Simulated Heatwave Event: The Case of Sichuan-Chongqing Area, China. Advances in Meteorology. 2017. 1–17. 8 indexed citations
15.
Zeng, Xin‐Min, B. Wang, Shuguang Song, et al.. (2014). Sensitivity of high-temperature weather to initial soil moisture: a case study using the WRF model. Atmospheric chemistry and physics. 14(18). 9623–9639. 30 indexed citations
16.
Wang, Shuyu, Congbin Fu, Helin Wei, et al.. (2013). Regional integrated environmental modeling system: development and application. Climatic Change. 129(3-4). 499–510. 15 indexed citations
17.
Matsui, Takashi, W. Tao, Hirohiko Masunaga, et al.. (2009). Goddard Satellite Data Simulation Unit: Multi-Sensor Satellite Simulators to Support Aerosol-Cloud-Precipitation Satellite Missions. AGU Fall Meeting Abstracts. 2009. 2 indexed citations
18.
Zheng, Yonghong, et al.. (2006). Simulations of water resource environmental changes in China during the last 20000 years by a regional climate model. Global and Planetary Change. 55(4). 284–300. 18 indexed citations
19.
20.
Zheng, Yiqun, et al.. (2003). Simulations of LGM climate of East Asia by regional climate model. Science in China Series D Earth Sciences. 46(8). 753–764. 18 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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