Zhenong Jin

4.9k total citations · 5 hit papers
70 papers, 2.8k citations indexed

About

Zhenong Jin is a scholar working on Ecology, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Zhenong Jin has authored 70 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Ecology, 29 papers in Global and Planetary Change and 25 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Zhenong Jin's work include Remote Sensing in Agriculture (24 papers), Climate change impacts on agriculture (24 papers) and Plant Water Relations and Carbon Dynamics (12 papers). Zhenong Jin is often cited by papers focused on Remote Sensing in Agriculture (24 papers), Climate change impacts on agriculture (24 papers) and Plant Water Relations and Carbon Dynamics (12 papers). Zhenong Jin collaborates with scholars based in United States, China and Canada. Zhenong Jin's co-authors include David B. Lobell, George Azzari, Qianlai Zhuang, Marshall Burke, Andrew D. B. Leakey, Stefania Di Tommaso, Kaiyu Guan, Jin He, Sotirios V. Archontoulis and Charles P. Pignon and has published in prestigious journals such as Nature Communications, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Zhenong Jin

64 papers receiving 2.8k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Smallholder maize area and yield mapping at national scales with Google Earth Engine

2019 291 citations Zhenong Jin, David B. Lobell et al. Remote Sensing of Environment profile →
Water Use Efficiency as a Constraint and Target for Improving the Resilience and Productivity of C₃ and C₄ Crops

2019 230 citations Zhenong Jin, David B. Lobell et al. profile →
Uniting remote sensing, crop modelling and economics for agricultural risk management

2021 154 citations Elinor Benami, Zhenong Jin et al. profile →
Warming reduces global agricultural production by decreasing cropping frequency and yields

2022 121 citations Peng Zhu, Zhenong Jin et al. Nature Climate Change profile →
Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems

2024 60 citations Licheng Liu, Wang Zhou et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhenong Jin United States	30	1.1k	1.1k	949	648	450	70	2.8k
Bin Peng United States	34	1.3k 1.1×	1.3k 1.1×	1.5k 1.5×	708 1.1×	473 1.1×	93	3.5k
Kathleen Neumann Netherlands	13	751 0.7×	884 0.8×	1.2k 1.3×	1.2k 1.8×	513 1.1×	15	3.1k
Andries Potgieter Australia	26	1.2k 1.1×	1.4k 1.2×	772 0.8×	667 1.0×	201 0.4×	73	2.5k
Aditya Singh United States	31	1.6k 1.4×	1.1k 1.0×	839 0.9×	301 0.5×	392 0.9×	141	3.3k
Claas Nendel Germany	36	1.4k 1.2×	1.7k 1.5×	1.4k 1.4×	1.1k 1.6×	953 2.1×	121	4.5k
Xiaojun Liu China	33	1.9k 1.6×	2.1k 1.9×	555 0.6×	371 0.6×	483 1.1×	125	3.4k
Xingang Xu China	28	1.7k 1.5×	1.3k 1.2×	680 0.7×	453 0.7×	205 0.5×	83	2.5k
Allard de Wit Netherlands	28	2.1k 1.9×	1.4k 1.3×	1.9k 2.0×	980 1.5×	408 0.9×	86	4.1k
Anne Gobin Belgium	28	1.0k 0.9×	797 0.7×	974 1.0×	596 0.9×	1.1k 2.5×	113	3.3k
Ashfaq Ahmad Pakistan	34	502 0.4×	2.0k 1.8×	785 0.8×	848 1.3×	752 1.7×	145	3.5k

Countries citing papers authored by Zhenong Jin

Since Specialization

Citations

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

Fields of papers citing papers by Zhenong Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenong Jin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

You, Nanshan, J. L. Till, David B. Lobell, et al.. (2025). Climate-driven global cropland changes and consequent feedbacks. Nature Geoscience. 18(7). 639–645. 4 indexed citations

Huang, Jianxi, Zhuo Wen, Hai Huang, et al.. (2025). Progress and Perspectives of Crop Yield Forecasting With Remote Sensing: A review. IEEE Geoscience and Remote Sensing Magazine. 13(3). 338–368. 3 indexed citations

Guan, Kaiyu, Zhangliang Chen, James D. Hipple, et al.. (2025). Aligning satellite-based phenology in a deep learning model for improved crop yield estimates over large regions. Agricultural and Forest Meteorology. 372. 110675–110675. 2 indexed citations

Zhu, Peng, Jianxi Huang, Zhenong Jin, et al.. (2025). Extreme surface solar ultraviolet radiation events reduce maize yields in China. Communications Earth & Environment. 6(1).

Guan, Kaiyu, Wang Zhou, Bin Peng, et al.. (2025). Comparing continuous-corn and soybean-corn rotation cropping systems in the U.S. central Midwest: Trade-offs among crop yield, nutrient losses, and change in soil organic carbon. Agriculture Ecosystems & Environment. 393. 109739–109739. 1 indexed citations

Yang, Qi, et al.. (2025). NeRF-LAI: A hybrid method combining neural radiance field and gap-fraction theory for deriving effective leaf area index of corn and soybean using multi-angle UAV images. Remote Sensing of Environment. 328. 114844–114844.

Lin, Chenxi, Junxiong Zhou, Rachid Bouabid, et al.. (2024). Sub-national scale mapping of individual olive trees integrating Earth observation and deep learning. ISPRS Journal of Photogrammetry and Remote Sensing. 217. 18–31. 3 indexed citations

Song, Yang, Josep Peñuelas, Philippe Ciais, et al.. (2024). Recent Water Constraints Mediate the Dominance of Climate and Atmospheric CO₂ on Vegetation Growth Across China. Earth s Future. 12(6). 12 indexed citations

Liu, Licheng, Wang Zhou, Kaiyu Guan, et al.. (2024). Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems. Nature Communications. 15(1). 357–357. 60 indexed citations breakdown →

10.

Jin, Zhenong & David Tilman. (2024). Crop diversity benefits increase with nation size. Nature Food. 5(6). 463–464. 2 indexed citations

11.

Zhou, Junxiong, Qi Yang, Licheng Liu, et al.. (2023). A deep transfer learning framework for mapping high spatiotemporal resolution LAI. ISPRS Journal of Photogrammetry and Remote Sensing. 206. 30–48. 17 indexed citations

12.

You, Nanshan, Jinwei Dong, Jing Li, Jianxi Huang, & Zhenong Jin. (2023). Rapid early-season maize mapping without crop labels. Remote Sensing of Environment. 290. 113496–113496. 59 indexed citations

13.

Qin, Ziqi, Kaiyu Guan, Wang Zhou, et al.. (2023). Assessing long‐term impacts of cover crops on soil organic carbon in the central US Midwestern agroecosystems. Global Change Biology. 29(9). 2572–2590. 34 indexed citations

14.

Yang, Tong, Jinwei Dong, Lin Huang, et al.. (2023). A large forage gap in forage availability in traditional pastoral regions in China. Fundamental Research. 3(2). 188–200. 24 indexed citations

15.

Yang, Yi, Zhenong Jin, Nathaniel D. Mueller, et al.. (2023). Sustainable irrigation and climate feedbacks. Nature Food. 4(8). 654–663. 46 indexed citations

16.

Guan, Kaiyu, Ziqi Qin, Sheng Wang, et al.. (2023). Improved quantification of cover crop biomass and ecosystem services through remote sensing-based model–data fusion. Environmental Research Letters. 18(9). 94018–94018. 4 indexed citations

17.

Zhu, Peng, Tae‐Gon Kim, Zhenong Jin, et al.. (2022). The critical benefits of snowpack insulation and snowmelt for winter wheat productivity. Nature Climate Change. 12(5). 485–490. 37 indexed citations

18.

Liu, Licheng, Shaoming Xu, Zhenong Jin, et al.. (2021). KGML-ag: A Modeling Framework of Knowledge-Guided Machine Learning to Simulate Agroecosystems: A Case Study of Estimating N ₂ O Emission using Data from Mesocosm Experiments. 2 indexed citations

19.

Benami, Elinor & Zhenong Jin. (2020). Uniting Advances in Remote Sensing, Crop Modeling, & Economics for Understanding and Managing Weather Risk in Agriculture. AGU Fall Meeting Abstracts. 2020. 1 indexed citations

20.

Cai, Yaping, Kaiyu Guan, Emerson D. Nafziger, et al.. (2019). Detecting In-Season Crop Nitrogen Stress of Corn for Field Trials Using UAV- and CubeSat-Based Multispectral Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(12). 5153–5166. 52 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.

Explore authors with similar magnitude of impact