Junyu Qi

2.9k total citations · 2 hit papers
105 papers, 2.1k citations indexed

About

Junyu Qi is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Chemistry. According to data from OpenAlex, Junyu Qi has authored 105 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Water Science and Technology, 30 papers in Global and Planetary Change and 27 papers in Environmental Chemistry. Recurrent topics in Junyu Qi's work include Hydrology and Watershed Management Studies (63 papers), Soil and Water Nutrient Dynamics (27 papers) and Plant Water Relations and Carbon Dynamics (17 papers). Junyu Qi is often cited by papers focused on Hydrology and Watershed Management Studies (63 papers), Soil and Water Nutrient Dynamics (27 papers) and Plant Water Relations and Carbon Dynamics (17 papers). Junyu Qi collaborates with scholars based in United States, China and Canada. Junyu Qi's co-authors include Qianfeng Wang, Xuesong Zhang, Rongrong Zhang, Fan‐Rui Meng, Jingyu Zeng, Sheng Li, Zisheng Xing, Wei Shui, Xiaoping Wu and Virgílio A. Bento and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Junyu Qi

92 papers receiving 2.0k citations

Hit Papers

A multi-scale daily SPEI dataset for drought characteriza... 2021 2026 2022 2024 2021 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junyu Qi United States 29 1.0k 1000 395 329 292 105 2.1k
Jean‐Philippe Vidal France 27 1.5k 1.5× 1.3k 1.3× 531 1.3× 278 0.8× 229 0.8× 55 2.8k
Johan Andréasson Sweden 15 725 0.7× 744 0.7× 311 0.8× 115 0.3× 154 0.5× 64 1.5k
Manuel R. Reyes United States 11 1.2k 1.1× 2.2k 2.2× 206 0.5× 711 2.2× 267 0.9× 27 2.8k
Aris P. Georgakakos United States 19 762 0.7× 846 0.8× 230 0.6× 238 0.7× 182 0.6× 55 1.5k
Yimin Wang China 26 943 0.9× 926 0.9× 151 0.4× 212 0.6× 140 0.5× 73 1.9k
Bhabagrahi Sahoo India 25 1.2k 1.1× 1.3k 1.3× 208 0.5× 640 1.9× 253 0.9× 82 1.8k
Zhongcheng Jiang China 17 346 0.3× 326 0.3× 320 0.8× 257 0.8× 503 1.7× 85 1.8k
Hagen Koch Germany 24 958 0.9× 1.2k 1.2× 263 0.7× 189 0.6× 181 0.6× 69 1.8k
Tongtiegang Zhao China 31 1.7k 1.6× 1.4k 1.4× 743 1.9× 502 1.5× 277 0.9× 132 3.1k
Ping Zhou China 22 927 0.9× 637 0.6× 346 0.9× 191 0.6× 378 1.3× 75 2.1k

Countries citing papers authored by Junyu Qi

Since Specialization
Citations

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

Fields of papers citing papers by Junyu Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyu Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Junyu Qi. A scholar is included among the top collaborators of Junyu Qi 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 Junyu Qi. Junyu Qi 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.
Qi, Junyu, et al.. (2025). Which factors and how they determine nitrogen runoff loss in rice agroecosystems across China. Agricultural Water Management. 319. 109778–109778.
2.
Wen, Na, Yue Wang, Beibei Ding, et al.. (2025). Assessing a dynamic CO2 input and response module in SWAT for simulating climate-induced phosphorus loss and economic costs. Journal of Hydrology. 663. 134200–134200. 1 indexed citations
3.
4.
Qin, Yi, Yihang Zhao, Junyu Qi, & Yongfang Mao. (2025). Spatial-temporal multi-sensor information fusion network with prior knowledge embedding for equipment remaining useful life prediction. Reliability Engineering & System Safety. 264. 111420–111420. 5 indexed citations
5.
Qi, Junyu, et al.. (2024). Improving estimation capacity of a hybrid model of LSTM and SWAT by reducing parameter uncertainty. Journal of Hydrology. 633. 130942–130942. 14 indexed citations
6.
Wei, Xinyuan, Daniel J. Hayes, David Butman, et al.. (2024). Modeling exports of dissolved organic carbon from landscapes: a review of challenges and opportunities. Environmental Research Letters. 19(5). 53001–53001. 5 indexed citations
7.
Wen, Na, Yiwen Han, Junyu Qi, et al.. (2024). Improving hydrological modeling to close the gap between elevated CO2 concentration and crop response: Implications for water resources. Water Research. 265. 122279–122279. 5 indexed citations
8.
Liu, Zhong, et al.. (2024). The response of non-point source pollution to climate change in an orchard-dominant coastal watershed. Environmental Research. 259. 119515–119515. 1 indexed citations
9.
Qi, Junyu, et al.. (2024). Response of hydrology and nutrient losses to different extreme rainfall conditions in a coastal watershed influenced by orchards. Journal of Environmental Management. 368. 122137–122137. 3 indexed citations
10.
11.
Zhang, Yingqi, Junyu Qi, Haipeng Liu, et al.. (2023). Evaluating the effects of single and integrated extreme climate events on hydrology in the Liao River Basin, China using a modified SWAT-BSR model. Journal of Hydrology. 623. 129772–129772. 5 indexed citations
12.
Zhang, Xueliang, Junyu Qi, Danfeng Sun, et al.. (2023). Assessment of the sustainability of groundwater utilization and crop production under optimized irrigation strategies in the North China Plain under future climate change. The Science of The Total Environment. 899. 165619–165619. 17 indexed citations
13.
Liang, Kang, Junyu Qi, Xuesong Zhang, et al.. (2023). Simulated nitrous oxide emissions from multiple agroecosystems in the U.S. Corn Belt using the modified SWAT-C model. Environmental Pollution. 337. 122537–122537. 2 indexed citations
14.
Qi, Junyu, Hongquan Wang, Mengmeng Zhou, et al.. (2023). Coupling SMAP Brightness Temperature Into SWAT Hydrological Model for 30-m Resolution Soil Moisture Retrievals. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 8319–8333. 2 indexed citations
15.
16.
Qi, Junyu, et al.. (2023). Crop production and water quality under 1.5 °C and 2 °C warming: Plant responses and management options in the mid-Atlantic region. The Science of The Total Environment. 907. 167874–167874. 3 indexed citations
17.
Qi, Junyu, et al.. (2023). Modeling lateral carbon fluxes for agroecosystems in the Mid-Atlantic region: Control factors and importance for carbon budget. The Science of The Total Environment. 912. 169128–169128. 6 indexed citations
18.
Wang, Yiming, Yuyu Zhou, Kristie J. Franz, et al.. (2022). Irrigation plays significantly different roles in influencing hydrological processes in two breadbasket regions. The Science of The Total Environment. 844. 157253–157253. 9 indexed citations
19.
Qi, Junyu, Kang Liang, Sheng Li, Lichun Wang, & Fan‐Rui Meng. (2018). Hydrological Evaluation of Flow Diversion Terraces Using Downhill-Slope Calculation Method for High Resolution and Accuracy DEMs. Sustainability. 10(7). 2414–2414. 5 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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