Bin Peng

5.5k total citations · 3 hit papers
93 papers, 3.5k citations indexed

About

Bin Peng is a scholar working on Global and Planetary Change, Environmental Engineering and Plant Science. According to data from OpenAlex, Bin Peng has authored 93 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Global and Planetary Change, 27 papers in Environmental Engineering and 25 papers in Plant Science. Recurrent topics in Bin Peng's work include Plant Water Relations and Carbon Dynamics (26 papers), Climate change impacts on agriculture (22 papers) and Remote Sensing in Agriculture (21 papers). Bin Peng is often cited by papers focused on Plant Water Relations and Carbon Dynamics (26 papers), Climate change impacts on agriculture (22 papers) and Remote Sensing in Agriculture (21 papers). Bin Peng collaborates with scholars based in United States, China and Canada. Bin Peng's co-authors include Kaiyu Guan, Yan Li, Evan H. DeLucia, Gary Schnitkey, Chongya Jiang, Yaping Cai, Wang Zhou, Ming Pan, Jian Peng and Shaowen Wang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Bin Peng

87 papers receiving 3.4k citations

Hit 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.

Excessive rainfall leads to maize yield loss of a comparable magnitude to extreme drought in the United States

2019 419 citations Kaiyu Guan, Evan H. DeLucia et al. Global Change Biology profile →
Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

2019 417 citations Yaping Cai, Kaiyu Guan et al. Agricultural and Forest Meteorology 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
Bin Peng United States	34	1.5k	1.3k	1.3k	765	708	93	3.5k
Budong Qian Canada	39	1.8k 1.3×	1.1k 0.9×	1.2k 1.0×	603 0.8×	1.0k 1.4×	115	3.9k
Allard de Wit Netherlands	28	1.9k 1.3×	2.1k 1.7×	1.4k 1.1×	886 1.2×	980 1.4×	86	4.1k
Zhenong Jin United States	30	949 0.7×	1.1k 0.9×	1.1k 0.9×	386 0.5×	648 0.9×	70	2.8k
Bin Wang China	37	1.8k 1.2×	802 0.6×	1.5k 1.2×	624 0.8×	1.5k 2.1×	191	4.5k
Wenjiao Shi China	26	1.1k 0.7×	538 0.4×	766 0.6×	541 0.7×	896 1.3×	114	2.6k
Gianni Bellocchi France	34	1.5k 1.0×	719 0.6×	921 0.7×	307 0.4×	744 1.1×	161	3.5k
Puyu Feng China	32	1.4k 1.0×	568 0.4×	1.3k 1.1×	339 0.4×	1.1k 1.6×	125	3.3k
Hendrik Boogaard Netherlands	23	868 0.6×	589 0.5×	1.3k 1.0×	316 0.4×	1.1k 1.5×	53	2.8k
Josef Eitzinger Austria	33	1.4k 1.0×	447 0.4×	1.1k 0.9×	349 0.5×	1.1k 1.6×	104	3.2k
Marcel van Oijen United Kingdom	36	1.8k 1.2×	648 0.5×	1.3k 1.0×	385 0.5×	480 0.7×	121	4.0k

Countries citing papers authored by Bin Peng

Since Specialization

Citations

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

Fields of papers citing papers by Bin Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Peng. A scholar is included among the top collaborators of Bin Peng 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 Bin Peng. Bin Peng 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

Qin, Rongzhu, Kaiyu Guan, Bin Peng, et al.. (2025). A model-data fusion approach for quantifying the carbon budget in cotton agroecosystems across the United States. Agricultural and Forest Meteorology. 363. 110407–110407. 1 indexed citations

Liu, Yifei, Jun Deng, Wei Gao, et al.. (2025). Characterization and overpressure prediction modeling of explosions of stratified hydrogen clouds in open space. Fuel. 387. 134310–134310. 7 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

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

Ma, Zewei, Bin Peng, Hongwei Zeng, et al.. (2025). Embracing large language model (LLM) technologies in hydrology research. SHILAP Revista de lepidopterología. 1(2). 22001–22001.

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 →

Zhang, Li, Wenjie Li, Jørgen E. Olesen, et al.. (2023). Genetic progress battles climate variability: drivers of soybean yield gains in China from 2006 to 2020. Agronomy for Sustainable Development. 43(4). 8 indexed citations

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

Montes, Christopher M., Christopher A. Moller, Bin Peng, et al.. (2022). Reductions in leaf area index, pod production, seed size, and harvest index drive yield loss to high temperatures in soybean. Journal of Experimental Botany. 74(5). 1629–1641. 29 indexed citations

10.

Kumagai, Etsushi, Taylor Pederson, Christopher M. Montes, et al.. (2021). Predicting biochemical acclimation of leaf photosynthesis in soybean under in‐field canopy warming using hyperspectral reflectance. Plant Cell & Environment. 45(1). 80–94. 30 indexed citations

11.

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

12.

Kimm, Hyungsuk, Kaiyu Guan, Bin Peng, et al.. (2021). Quantifying high‐temperature stress on soybean canopy photosynthesis: The unique role of sun‐induced chlorophyll fluorescence. Global Change Biology. 27(11). 2403–2415. 59 indexed citations

13.

He, Liyin, Troy S. Magney, Debsunder Dutta, et al.. (2020). From the Ground to Space: Using Solar‐Induced Chlorophyll Fluorescence to Estimate Crop Productivity. Geophysical Research Letters. 47(7). 101 indexed citations

14.

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

15.

Wu, Genghong, Kaiyu Guan, Chongya Jiang, et al.. (2019). Radiance-based NIR_v as a proxy for GPP of corn and soybean. Environmental Research Letters. 15(3). 34009–34009. 79 indexed citations

16.

Guan, Kaiyu, et al.. (2018). A 3D convolutional neural network method for land cover classification using LiDAR and multi-temporal Landsat imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 144. 423–434. 55 indexed citations

17.

Miao, Guofang, Kaiyu Guan, Xi Yang, et al.. (2018). Sun‐Induced Chlorophyll Fluorescence, Photosynthesis, and Light Use Efficiency of a Soybean Field from Seasonally Continuous Measurements. Journal of Geophysical Research Biogeosciences. 123(2). 610–623. 166 indexed citations

18.

McColl, Kaighin A., Wei Wang, Bin Peng, et al.. (2017). Global characterization of surface soil moisture drydowns. Geophysical Research Letters. 44(8). 3682–3690. 110 indexed citations

19.

Zhang, Qin, et al.. (2016). Analysis of potato-maize rotation on rhizosphere soil nutrient and enzyme activity for potato.. SHILAP Revista de lepidopterología. 42(1). 74–80. 1 indexed citations

20.

Lu, Hao, Bin Peng, Dara Entekhabi, et al.. (2016). Global soil moisture dry-down analysis based on SMAP retrievals. AGU Fall Meeting Abstracts. 2016. 1 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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