Guofeng Yang

484 total citations
22 papers, 354 citations indexed

About

Guofeng Yang is a scholar working on Plant Science, Ecology and Analytical Chemistry. According to data from OpenAlex, Guofeng Yang has authored 22 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 6 papers in Ecology and 4 papers in Analytical Chemistry. Recurrent topics in Guofeng Yang's work include Smart Agriculture and AI (10 papers), Remote Sensing in Agriculture (6 papers) and Spectroscopy and Chemometric Analyses (4 papers). Guofeng Yang is often cited by papers focused on Smart Agriculture and AI (10 papers), Remote Sensing in Agriculture (6 papers) and Spectroscopy and Chemometric Analyses (4 papers). Guofeng Yang collaborates with scholars based in China, United States and Australia. Guofeng Yang's co-authors include Yong He, Yong Yang, Beibei Xu, Guipeng Chen, Jinnuo Zhang, Xinyu Zhang, Xuping Feng, Yong He, Xuping Feng and Xiyao Li and has published in prestigious journals such as IEEE Access, Frontiers in Plant Science and Remote Sensing.

In The Last Decade

Guofeng Yang

20 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guofeng Yang China	11	247	114	59	24	19	22	354
Yuyu Tian China	4	239 1.0×	82 0.7×	42 0.7×	37 1.5×	13 0.7×	7	314
Yanlei Xu China	10	264 1.1×	84 0.7×	68 1.2×	39 1.6×	15 0.8×	28	353
Zhenzhen Song China	6	229 0.9×	63 0.6×	40 0.7×	35 1.5×	22 1.2×	13	312
Di Cai China	6	259 1.0×	124 1.1×	28 0.5×	15 0.6×	15 0.8×	14	365
Qian Yan China	9	156 0.6×	90 0.8×	37 0.6×	23 1.0×	14 0.7×	32	309
Ruoling Deng China	7	237 1.0×	80 0.7×	63 1.1×	35 1.5×	18 0.9×	11	326
Wentai Fang China	11	318 1.3×	92 0.8×	73 1.2×	28 1.2×	19 1.0×	12	422
Tan Sun China	12	281 1.1×	85 0.7×	65 1.1×	41 1.7×	8 0.4×	34	379
Zhenzhen Wang China	3	304 1.2×	100 0.9×	86 1.5×	46 1.9×	10 0.5×	4	349
Jiuxi Li China	9	304 1.2×	87 0.8×	53 0.9×	30 1.3×	32 1.7×	25	399

Countries citing papers authored by Guofeng Yang

Since Specialization

Citations

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

Fields of papers citing papers by Guofeng Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guofeng Yang

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

All Works

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20 of 20 papers shown

Ai, Wenjie, Guofeng Yang, Jiawei Du, et al.. (2025). Two-year remote sensing and ground verification: Estimating chlorophyll content in winter wheat using UAV multi-spectral imagery. Artificial Intelligence in Agriculture. 16(1). 480–494.

Yang, Guofeng, Yu Li, Yong He, et al.. (2025). Multimodal large language model for wheat breeding: A new exploration of smart breeding. ISPRS Journal of Photogrammetry and Remote Sensing. 225. 492–513. 4 indexed citations

Zhang, Xiya, et al.. (2024). Simultaneous detection of reference lines in paddy fields using a machine vision-based framework. Computers and Electronics in Agriculture. 221. 108923–108923. 1 indexed citations

Lu, Songchong, et al.. (2024). Advancing insights into calcium homeostasis and signaling in plant growth and resilience. Science Bulletin. 70(2). 125–127. 5 indexed citations

Feng, Xuping, Hui Fang, Hangjin Jiang, et al.. (2023). Plantorganelle Hunter is an effective deep-learning-based method for plant organelle phenotyping in electron microscopy. Nature Plants. 9(10). 1760–1775. 10 indexed citations

Li, Xiyao, Jingwen Chen, Yong He, et al.. (2023). High-through counting of Chinese cabbage trichomes based on deep learning and trinocular stereo microscope. Computers and Electronics in Agriculture. 212. 108134–108134. 14 indexed citations

Li, Xiyao, Xuping Feng, Hui Fang, et al.. (2023). Classification of multi-year and multi-variety pumpkin seeds using hyperspectral imaging technology and three-dimensional convolutional neural network. Plant Methods. 19(1). 82–82. 18 indexed citations

Zhu, Jiangpeng, Guofeng Yang, Xuping Feng, et al.. (2022). Detecting Wheat Heads from UAV Low-Altitude Remote Sensing Images Using Deep Learning Based on Transformer. Remote Sensing. 14(20). 5141–5141. 32 indexed citations

Bai, Xiulin, Hui Fang, Yong He, et al.. (2022). Dynamic UAV Phenotyping for Rice Disease Resistance Analysis Based on Multisource Data. Plant Phenomics. 5. 19–19. 18 indexed citations

10.

Bai, Xiulin, Xuping Feng, Jinnuo Zhang, et al.. (2022). Evaluation of rice bacterial blight severity from lab to field with hyperspectral imaging technique. Frontiers in Plant Science. 13. 1037774–1037774. 10 indexed citations

11.

Zhang, Jinnuo, et al.. (2022). Rice bacterial blight resistant cultivar selection based on visible/near-infrared spectrum and deep learning. Plant Methods. 18(1). 49–49. 27 indexed citations

12.

Yang, Guofeng, Yong He, Zhenjiang Zhou, et al.. (2022). Field Monitoring of Fractional Vegetation Cover Based on UAV Low-altitude Remote Sensing and Machine Learning. 1–6. 3 indexed citations

13.

Yang, Guofeng, et al.. (2021). Convolutional Rebalancing Network for the Classification of Large Imbalanced Rice Pest and Disease Datasets in the Field. Frontiers in Plant Science. 12. 671134–671134. 25 indexed citations

14.

Yang, Guofeng, Yong He, Yong Yang, & Beibei Xu. (2020). Fine-Grained Image Classification for Crop Disease Based on Attention Mechanism. Frontiers in Plant Science. 11. 600854–600854. 64 indexed citations

15.

Yang, Guofeng, et al.. (2020). Self-Supervised Collaborative Multi-Network for Fine-Grained Visual Categorization of Tomato Diseases. IEEE Access. 8. 211912–211923. 49 indexed citations

16.

Yang, Guofeng, et al.. (2020). Sentiment analysis of agricultural product ecommerce review data based on deep learning. 1–7. 10 indexed citations

17.

Yang, Guofeng, et al.. (2016). CFD Simulations of Aeration for Cooling Paddy Rice in a Warehouse-Type Storage Facility. Transactions of the ASABE. 59(6). 1873–1882. 9 indexed citations

18.

Yang, Guofeng, et al.. (2010). Pattern Recognition Technology in Fault Diagnosis of Electrical Safety Valve Level. Hedongli gongcheng. 31(1). 79–82.

19.

Zeng, Ming, et al.. (2010). Research on Impact of Growth of Real-Time Price Consumers on Generation Capacity Investment. 14. 4094–4097. 1 indexed citations

20.

Zhang, Jie, et al.. (2006). Separation and Enrichment of Rare Earth Elements in Phosphorite in Xinhua, Zhijin, Guizhou. Journal of Rare Earths. 24(1). 413–414. 16 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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