Yuchi Ma

1.5k total citations · 2 hit papers
26 papers, 979 citations indexed

About

Yuchi Ma is a scholar working on Ecology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Yuchi Ma has authored 26 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 14 papers in Plant Science and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Yuchi Ma's work include Remote Sensing in Agriculture (15 papers), Smart Agriculture and AI (12 papers) and Spectroscopy and Chemometric Analyses (5 papers). Yuchi Ma is often cited by papers focused on Remote Sensing in Agriculture (15 papers), Smart Agriculture and AI (12 papers) and Spectroscopy and Chemometric Analyses (5 papers). Yuchi Ma collaborates with scholars based in United States, China and Netherlands. Yuchi Ma's co-authors include Zhou Zhang, Luwei Feng, Shuo Chen, Qingyun Du, David B. Lobell, Stefano Ermon, Mutlu Özdoğan, Yanghui Kang, Brian D. Luck and Parker Williams and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Yuchi Ma

24 papers receiving 950 citations

Hit Papers

Transfer learning in environmental remote sensing 2021 2026 2022 2024 2023 2021 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
Yuchi Ma United States 15 528 454 216 154 118 26 979
Anna Chlingaryan Australia 10 481 0.9× 682 1.5× 176 0.8× 209 1.4× 127 1.1× 22 1.2k
Yonglin Shen China 17 369 0.7× 372 0.8× 294 1.4× 79 0.5× 178 1.5× 51 1.0k
Rubens Augusto Camargo Lamparelli Brazil 20 666 1.3× 473 1.0× 353 1.6× 104 0.7× 132 1.1× 95 1.2k
Jingfeng Huang China 9 470 0.9× 291 0.6× 210 1.0× 75 0.5× 174 1.5× 18 833
Luwei Feng China 15 510 1.0× 403 0.9× 238 1.1× 143 0.9× 231 2.0× 23 1.1k
Jiale Jiang China 16 398 0.8× 267 0.6× 210 1.0× 93 0.6× 94 0.8× 45 722
Xiaohe Gu China 18 617 1.2× 455 1.0× 318 1.5× 203 1.3× 178 1.5× 117 1.0k
Wen Zhuo China 16 425 0.8× 298 0.7× 170 0.8× 66 0.4× 172 1.5× 31 834
Rajendra P. Sishodia United States 8 398 0.8× 451 1.0× 236 1.1× 73 0.5× 104 0.9× 12 998
Lina Hu China 7 770 1.5× 400 0.9× 319 1.5× 126 0.8× 248 2.1× 7 1.1k

Countries citing papers authored by Yuchi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yuchi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuchi Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yuchi Ma. A scholar is included among the top collaborators of Yuchi Ma 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 Yuchi Ma. Yuchi Ma 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.
Ma, Yuchi, et al.. (2025). Learning county from pixels: corn yield prediction with attention-weighted multiple instance learning. International Journal of Remote Sensing. 46(7). 2815–2845. 2 indexed citations
2.
Lobell, David B., Stefania Di Tommaso, Qu Zhou, et al.. (2025). The mixed effects of recent cover crop adoption on US cropland productivity. Nature Sustainability. 8(9). 1004–1012. 1 indexed citations
3.
Ma, Yuchi, et al.. (2024). Subfield-level crop yield mapping without ground truth data: A scale transfer framework. Remote Sensing of Environment. 315. 114427–114427. 14 indexed citations
4.
Ren, Chenchen, Liyin He, Yuchi Ma, et al.. (2024). Trade-offs in agricultural outcomes across farm sizes. SHILAP Revista de lepidopterología. 1(1). 100007–100007. 5 indexed citations
5.
Xu, Yijia, Yuchi Ma, & Zhou Zhang. (2024). Self-supervised pre-training for large-scale crop mapping using Sentinel-2 time series. ISPRS Journal of Photogrammetry and Remote Sensing. 207. 312–325. 35 indexed citations
6.
Chen, Shuo, Licheng Liu, Yuchi Ma, Qianlai Zhuang, & Narasinha Shurpali. (2024). Quantifying Global Wetland Methane Emissions With In Situ Methane Flux Data and Machine Learning Approaches. Earth s Future. 12(11). e2023EF004330–e2023EF004330. 5 indexed citations
7.
Ma, Yuchi, Zhengwei Yang, Qunying Huang, & Zhou Zhang. (2023). Improving the Transferability of Deep Learning Models for Crop Yield Prediction: A Partial Domain Adaptation Approach. Remote Sensing. 15(18). 4562–4562. 14 indexed citations
8.
Ma, Yuchi, Zhengwei Yang, & Zhou Zhang. (2023). Multisource Maximum Predictor Discrepancy for Unsupervised Domain Adaptation on Corn Yield Prediction. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 19 indexed citations
9.
Ma, Yuchi & Zhou Zhang. (2022). A Bayesian Domain Adversarial Neural Network for Corn Yield Prediction. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 12 indexed citations
10.
Chen, Shuo, Weihang Liu, Puyu Feng, et al.. (2022). Improving Spatial Disaggregation of Crop Yield by Incorporating Machine Learning with Multisource Data: A Case Study of Chinese Maize Yield. Remote Sensing. 14(10). 2340–2340. 17 indexed citations
11.
Zhou, Jing, et al.. (2022). A Systematic Study of Estimating Potato N Concentrations Using UAV-Based Hyper- and Multi-Spectral Imagery. Agronomy. 12(10). 2533–2533. 14 indexed citations
12.
Sun, Chen, Jing Zhou, Yuchi Ma, et al.. (2022). A review of remote sensing for potato traits characterization in precision agriculture. Frontiers in Plant Science. 13. 871859–871859. 22 indexed citations
13.
Feng, Luwei, Zhou Zhang, Yuchi Ma, et al.. (2021). Multitask Learning of Alfalfa Nutritive Value From UAV-Based Hyperspectral Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 28 indexed citations
14.
Ma, Yuchi, Zhou Zhang, H. Lexie Yang, & Zhengwei Yang. (2021). An adaptive adversarial domain adaptation approach for corn yield prediction. Computers and Electronics in Agriculture. 187. 106314–106314. 48 indexed citations
15.
Wang, Yumiao, Zhou Zhang, Luwei Feng, Yuchi Ma, & Qingyun Du. (2021). A new attention-based CNN approach for crop mapping using time series Sentinel-2 images. Computers and Electronics in Agriculture. 184. 106090–106090. 95 indexed citations
16.
Feng, Luwei, Zhou Zhang, Yuchi Ma, et al.. (2020). Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning. Remote Sensing. 12(12). 2028–2028. 194 indexed citations
18.
Yu, Na, et al.. (2020). RESEARCH ON STUDENT BEHAVIOR INFERENCE METHOD BASED ON FP-GROWTH ALGORITHM. SHILAP Revista de lepidopterología. XLII-3/W10. 981–985. 2 indexed citations
19.
Yang, Ning, Yuchi Ma, Li Chen, & Philip S. Yu. (2019). A meta-feature based unified framework for both cold-start and warm-start explainable recommendations. World Wide Web. 23(1). 241–265. 13 indexed citations
20.
Ma, Yuchi, John R. Anderson, Stephen Crouch, & Jie Shan. (2019). Moving Object Detection and Tracking with Doppler LiDAR. Remote Sensing. 11(10). 1154–1154. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026