Baofeng Su

3.4k total citations · 1 hit paper
33 papers, 2.4k citations indexed

About

Baofeng Su is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Baofeng Su has authored 33 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 15 papers in Ecology and 8 papers in Environmental Engineering. Recurrent topics in Baofeng Su's work include Remote Sensing in Agriculture (15 papers), Smart Agriculture and AI (15 papers) and Horticultural and Viticultural Research (11 papers). Baofeng Su is often cited by papers focused on Remote Sensing in Agriculture (15 papers), Smart Agriculture and AI (15 papers) and Horticultural and Viticultural Research (11 papers). Baofeng Su collaborates with scholars based in China, United Kingdom and Australia. Baofeng Su's co-authors include Jinya Su, Dejun Han, Xudong Zhang, Dewei Yi, Wen‐Hua Chen, Xiangming Xu, Cunjia Liu, Lei Guo, Xiaoping Hu and Yulin Fang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Frontiers in Plant Science and Agricultural and Forest Meteorology.

In The Last Decade

Baofeng Su

32 papers receiving 2.3k 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.

Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications

2017 1.7k citations Baofeng Su et al. Journal of Sensors profile →

Peers

Baofeng Su

ECOLO

PS

EE

GPC

AC

Tobias Hank Germany

Jesús Delegido Spain

Martin L. Gnyp Germany

Huichun Ye China

Shawn C. Kefauver Spain

Joaquim J. Sousa Portugal

Elfatih M. Abdel‐Rahman Kenya

Kang Yu Germany

Vasit Sagan United States

Maitiniyazi Maimaitijiang United States

Tobias Hank Germany

Baofeng Su

1.6k ×1.1

ECOLO

1.0k ×1.0

PS

762 ×1.1

EE

727 ×1.1

GPC

377 ×1.2

AC

Citations per year, relative to Baofeng Su Baofeng Su (= 1×) peers Tobias Hank

Countries citing papers authored by Baofeng Su

Since Specialization

Citations

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

Fields of papers citing papers by Baofeng Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baofeng Su

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

1.

Luo, W., et al.. (2025). Real-time identification and spatial distribution mapping of weeds through unmanned aerial vehicle (UAV) remote sensing. European Journal of Agronomy. 169. 127699–127699. 2 indexed citations

2.

Yu, Rui, Xiaofeng Cao, Jia Liu, et al.. (2024). Using UAV-Based Temporal Spectral Indices to Dissect Changes in the Stay-Green Trait in Wheat. Plant Phenomics. 6. 171–171. 4 indexed citations

3.

Su, Jinya, et al.. (2024). GLDCNet: A novel convolutional neural network for grapevine leafroll disease recognition using UAV-based imagery. Computers and Electronics in Agriculture. 218. 108668–108668. 13 indexed citations

4.

Chen, Shang, Zhuo Huang, Tengcong Jiang, et al.. (2022). Using support vector machine to deal with the missing of solar radiation data in daily reference evapotranspiration estimation in China. Agricultural and Forest Meteorology. 316. 108864–108864. 30 indexed citations

5.

Su, Jinya, et al.. (2022). Fusing attention mechanism with Mask R-CNN for instance segmentation of grape cluster in the field. Frontiers in Plant Science. 13. 934450–934450. 21 indexed citations

6.

Zhang, Lı, et al.. (2022). Foliar application of chelated sugar alcohol calcium fertilizer for regulating the growth and quality of wine grapes. International journal of agricultural and biological engineering. 15(3). 153–158. 13 indexed citations

7.

Su, Jinya, et al.. (2021). Development of a mobile application for identification of grapevine (Vitis vinifera L.) cultivars via deep learning. International journal of agricultural and biological engineering. 14(5). 172–179.

8.

Chen, Shan, et al.. (2021). Segmentation of field grape bunches via an improved pyramid scene parsing network. International journal of agricultural and biological engineering. 14(6). 185–194. 21 indexed citations

9.

Su, Jinya, et al.. (2021). Development of a mobile application for identification of grapevine (Vitis vinifera L.) cultivars via deep learning. International journal of agricultural and biological engineering. 14(5). 172–179. 18 indexed citations

10.

Cao, Xiao-Feng, et al.. (2021). A Comparison of UAV RGB and Multispectral Imaging in Phenotyping for Stay Green of Wheat Population. Remote Sensing. 13(24). 5173–5173. 30 indexed citations

11.

Zhang, Xudong, et al.. (2020). Wheat Stripe Rust Grading by Deep Learning With Attention Mechanism and Images From Mobile Devices. Frontiers in Plant Science. 11. 558126–558126. 91 indexed citations

12.

Su, Jinya, Dewei Yi, Baofeng Su, et al.. (2020). Aerial Visual Perception in Smart Farming: Field Study of Wheat Yellow Rust Monitoring. IEEE Transactions on Industrial Informatics. 17(3). 2242–2249. 133 indexed citations

13.

Fuentes, Sigfredo, et al.. (2019). Automated Chinese medicinal plants classification based on machine learning using leaf morpho-colorimetry, fractal dimension and visible/near infrared spectroscopy. International journal of agricultural and biological engineering. 12(2). 123–131. 8 indexed citations

14.

Yan, Pengke, et al.. (2019). Effects of regulated deficit irrigation on the growth and berry composition of Cabernet Sauvignon in Ningxia. International journal of agricultural and biological engineering. 12(6). 102–109. 6 indexed citations

15.

Fuentes, Sigfredo, et al.. (2019). Automated Chinese medicinal plants classification based on machine learning using leaf morpho-colorimetry, fractal dimension and visible/near infrared spectroscopy. International journal of agricultural and biological engineering. 12(2). 123–131. 23 indexed citations

16.

Su, Baofeng, et al.. (2019). Assessment of canopy vigor information from kiwifruit plants based on a digital surface model from unmanned aerial vehicle imagery. International journal of agricultural and biological engineering. 12(1). 165–171. 8 indexed citations

17.

Sun, Quan, et al.. (2019). Effects of regulated deficit irrigation on the growth and berry composition of Cabernet Sauvignon in Ningxia. International journal of agricultural and biological engineering. 12(6). 102–109. 3 indexed citations

18.

Guo, Jiao, et al.. (2018). Multi‐baseline InSAR phase unwrapping method based on mixed‐integer optimisation model. IET Radar Sonar & Navigation. 12(7). 694–701. 8 indexed citations

19.

Su, Baofeng, et al.. (2017). Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications. Journal of Sensors. 2017. 1–17. 1662 indexed citations breakdown →

20.

Su, Baofeng, et al.. (2016). Digital surface model applied to unmanned aerial vehicle based photogrammetry to assess potential biotic or abiotic effects on grapevine canopies. International journal of agricultural and biological engineering. 9(6). 119–130. 27 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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