Yaping Cai

2.0k total citations · 2 hit papers
15 papers, 1.5k citations indexed

About

Yaping Cai is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Yaping Cai has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 8 papers in Global and Planetary Change and 5 papers in Environmental Engineering. Recurrent topics in Yaping Cai's work include Remote Sensing in Agriculture (8 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Land Use and Ecosystem Services (3 papers). Yaping Cai is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Land Use and Ecosystem Services (3 papers). Yaping Cai collaborates with scholars based in United States, China and United Kingdom. Yaping Cai's co-authors include Kaiyu Guan, Jian Peng, Shaowen Wang, Bin Peng, Brian Wardlow, Zhan Li, Christopher Seifert, David B. Lobell, Liangzhi You and Senthold Asseng and has published in prestigious journals such as Remote Sensing of Environment, Geophysical Research Letters and Agricultural and Forest Meteorology.

In The Last Decade

Yaping Cai

15 papers receiving 1.5k citations

Hit Papers

Integrating satellite and climate data to predict wheat y... 2018 2026 2020 2023 2019 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaping Cai United States 11 932 624 537 415 223 15 1.5k
Paolo Villa Italy 20 861 0.9× 651 1.0× 542 1.0× 361 0.9× 192 0.9× 53 2.0k
Chi-Farn Chen Taiwan 23 1.0k 1.1× 300 0.5× 745 1.4× 477 1.1× 440 2.0× 84 1.8k
Shuhe Zhao China 22 814 0.9× 308 0.5× 836 1.6× 763 1.8× 565 2.5× 55 2.0k
Andrew Davidson Canada 29 1.0k 1.1× 435 0.7× 843 1.6× 528 1.3× 367 1.6× 58 2.1k
Zhigang Sun China 25 844 0.9× 503 0.8× 693 1.3× 601 1.4× 241 1.1× 99 2.0k
Mbulisi Sibanda South Africa 26 1.2k 1.3× 502 0.8× 640 1.2× 659 1.6× 154 0.7× 111 2.1k
Linglin Zeng China 14 857 0.9× 310 0.5× 790 1.5× 506 1.2× 299 1.3× 24 1.6k
Heike Bach Germany 20 1.1k 1.2× 376 0.6× 758 1.4× 772 1.9× 405 1.8× 83 1.9k
Taifeng Dong Canada 23 1.3k 1.4× 687 1.1× 712 1.3× 629 1.5× 318 1.4× 64 1.8k
Frédéric Baup France 29 812 0.9× 355 0.6× 618 1.2× 1.2k 3.0× 709 3.2× 73 2.1k

Countries citing papers authored by Yaping Cai

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaping Cai

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

All Works

15 of 15 papers shown
1.
Zhou, Qu, Kaiyu Guan, Sheng Wang, et al.. (2022). Recent Rapid Increase of Cover Crop Adoption Across the U.S. Midwest Detected by Fusing Multi‐Source Satellite Data. Geophysical Research Letters. 49(22). 39 indexed citations
2.
Guan, Kaiyu, Wang Zhou, Bin Peng, et al.. (2022). Assessing the impacts of pre-growing-season weather conditions on soil nitrogen dynamics and corn productivity in the U.S. Midwest. Field Crops Research. 284. 108563–108563. 15 indexed citations
3.
Lin, Chenxi, Zhenong Jin, D. J. Mulla, et al.. (2021). Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. Remote Sensing. 13(9). 1740–1740. 23 indexed citations
4.
Zhang, Jingwen, Kaiyu Guan, Bin Peng, et al.. (2021). Challenges and opportunities in precision irrigation decision-support systems for center pivots. Environmental Research Letters. 16(5). 53003–53003. 55 indexed citations
5.
Li, Kaiyuan, Kaiyu Guan, Chongya Jiang, et al.. (2021). Evaluation of Four New Land Surface Temperature (LST) Products in the U.S. Corn Belt: ECOSTRESS, GOES-R, Landsat, and Sentinel-3. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 9931–9945. 32 indexed citations
6.
Kimm, Hyungsuk, Kaiyu Guan, Chongya Jiang, et al.. (2020). Deriving high-spatiotemporal-resolution leaf area index for agroecosystems in the U.S. Corn Belt using Planet Labs CubeSat and STAIR fusion data. Remote Sensing of Environment. 239. 111615–111615. 115 indexed citations
7.
Cai, Yaping, et al.. (2020). Spatiotemporal Derivation of Intermittent Ponding in a Maize–Soybean Landscape from Planet Labs CubeSat Images. Remote Sensing. 12(12). 1942–1942. 7 indexed citations
8.
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
9.
Wang, Dongxu, et al.. (2019). Behavior modelling and sensing for machinery operations using smartphone’s sensor data: A case study of forage maize sowing. International journal of agricultural and biological engineering. 12(6). 66–74. 1 indexed citations
10.
Xiao, Changjiang, Nengcheng Chen, Chuli Hu, et al.. (2019). A spatiotemporal deep learning model for sea surface temperature field prediction using time-series satellite data. Environmental Modelling & Software. 120. 104502–104502. 185 indexed citations
11.
Cai, Yaping, Kaiyu Guan, David B. Lobell, et al.. (2019). Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches. Agricultural and Forest Meteorology. 274. 144–159. 417 indexed citations breakdown →
12.
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
13.
Cai, Yaping, Kaiyu Guan, Jian Peng, et al.. (2018). A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach. Remote Sensing of Environment. 210. 35–47. 415 indexed citations breakdown →
14.
Cai, Yaping, et al.. (2016). Data depth based clustering analysis. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–10. 9 indexed citations
15.
Cai, Yaping, et al.. (2012). Temporal & Spatial Scheduling Model for Agricultural Machinery. 2012 Dallas, Texas, July 29 - August 1, 2012. 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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