Zhongbin Su

1.7k total citations · 1 hit paper
71 papers, 1.1k citations indexed

About

Zhongbin Su is a scholar working on Plant Science, Atmospheric Science and Ecology. According to data from OpenAlex, Zhongbin Su has authored 71 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 21 papers in Atmospheric Science and 19 papers in Ecology. Recurrent topics in Zhongbin Su's work include Smart Agriculture and AI (21 papers), Remote Sensing and Land Use (18 papers) and Remote Sensing in Agriculture (16 papers). Zhongbin Su is often cited by papers focused on Smart Agriculture and AI (21 papers), Remote Sensing and Land Use (18 papers) and Remote Sensing in Agriculture (16 papers). Zhongbin Su collaborates with scholars based in China, United States and Hong Kong. Zhongbin Su's co-authors include Rui Gao, Qiuju Xie, Ji‐Qin Ni, Weizheng Shen, Edward S. Buckler, Meng Li, Jiabo Wang, Yuchun Pan, Xiaolei Liu and Qishan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Zhongbin Su

67 papers receiving 1.1k 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.

GAPIT Version 2: An Enhanced Integrated Tool for Genomic Association and Prediction

2016 285 citations Zhongbin Su et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhongbin Su China	18	552	210	159	133	116	71	1.1k
Chunjiang Zhao China	22	1.0k 1.9×	248 1.2×	126 0.8×	251 1.9×	124 1.1×	85	1.4k
Mahmood Reza Golzarian Iran	21	609 1.1×	187 0.9×	61 0.4×	344 2.6×	86 0.7×	53	1.3k
Man Zhang China	19	746 1.4×	131 0.6×	83 0.5×	115 0.9×	70 0.6×	50	1.3k
Weizheng Shen China	21	305 0.6×	99 0.5×	64 0.4×	152 1.1×	34 0.3×	76	1.1k
Benoît Mercatoris Belgium	19	374 0.7×	227 1.1×	36 0.2×	117 0.9×	143 1.2×	50	973
Frédéric Lebeau Belgium	29	876 1.6×	146 0.7×	100 0.6×	44 0.3×	171 1.5×	109	2.0k
Κωνσταντίνος Λιάκος Greece	6	1.1k 2.0×	377 1.8×	43 0.3×	287 2.2×	161 1.4×	13	1.8k
Chengming Sun China	21	845 1.5×	505 2.4×	60 0.4×	279 2.1×	227 2.0×	99	1.3k
Mohd Shahrimie Mohd Asaari Malaysia	11	342 0.6×	303 1.4×	111 0.7×	334 2.5×	42 0.4×	27	943

Countries citing papers authored by Zhongbin Su

Since Specialization

Citations

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

Fields of papers citing papers by Zhongbin Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongbin Su

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

Kong, Deyi, et al.. (2025). A novel method for pothole detection based on incomplete point clouds. Measurement. 252. 117344–117344.

2.

Fu, Kang, et al.. (2024). Maize tassel detection with CA-YOLO for UAV images in complex field environments. Computers and Electronics in Agriculture. 217. 108562–108562. 35 indexed citations

3.

Fu, Kang, et al.. (2024). ENHANCED U-NET ALGORITHM FOR TYPICAL CROP CLASSIFICATION USING GF-6 WFV REMOTE SENSING IMAGES. Engenharia Agrícola. 44. 1 indexed citations

4.

Gao, Rui, et al.. (2023). A method for obtaining maize phenotypic parameters based on improved QuickShift algorithm. Computers and Electronics in Agriculture. 214. 108341–108341. 11 indexed citations

5.

Hou, Renjie, Qiang Fu, Tianxiao Li, et al.. (2023). Modified biochar reduces the greenhouse gas emission intensity and enhances the net ecosystem economic budget in black soil soybean fields. Soil and Tillage Research. 237. 105978–105978. 21 indexed citations

6.

Wang, Yue, et al.. (2023). Fine hyperspectral classification of rice varieties based on self-attention mechanism. Ecological Informatics. 75. 102035–102035. 26 indexed citations

7.

Gao, Rui, et al.. (2023). RTAL: An edge computing method for real-time rice lodging assessment. Computers and Electronics in Agriculture. 215. 108386–108386. 5 indexed citations

8.

Chen, Xi, et al.. (2023). SEDLNet: An unsupervised precise lightweight extraction method for farmland areas. Computers and Electronics in Agriculture. 210. 107886–107886. 5 indexed citations

9.

Wang, Haodong, et al.. (2021). Disease Diagnosis of Dairy Cow by Deep Learning Based on Knowledge Graph and Transfer Learning. SHILAP Revista de lepidopterología. 25(1). 87–100. 7 indexed citations

10.

Fu, Qiang, Weizheng Shen, Xiaoli Wei, et al.. (2020). Predicting the excretion of feces, urine and nitrogen using support vector regression: A case study with Holstein dry cows. International journal of agricultural and biological engineering. 13(2). 48–56. 2 indexed citations

11.

Fu, Qiang, Weizheng Shen, Xiaoli Wei, et al.. (2020). Predicting the excretion of feces, urine and nitrogen using support vector regression: A case study with Holstein dry cows. International journal of agricultural and biological engineering. 13(2). 48–56. 4 indexed citations

12.

Li, Zedong, et al.. (2019). Research on Crude Protein of Pasture Based on Hyperspectral Imaging. Guangpuxue yu guangpu fenxi. 39(10). 3245. 6 indexed citations

13.

Su, Zhongbin, et al.. (2016). Intercomparison of ADC-Lite Images on UAV and TM Simulation Data for Soybean Leaf Area Index Retrieval. International Journal of Hybrid Information Technology. 9(7). 151–160. 2 indexed citations

14.

Su, Zhongbin, et al.. (2016). Identification of rice leaf blast and nitrogen deficiency in cold region using hyperspectral imaging. Nongye Gongcheng Xuebao. 32(13). 160. 7 indexed citations

15.

Zhao, Shan, et al.. (2016). Forecasting model for nitrogen content of maize canopy during seedling stage in cold region based on imaging spectral technique.. Nongye gongcheng xuebao. 32(13). 149–154. 1 indexed citations

16.

Wang, Shuwen, et al.. (2016). Prediction for nitrogen content of rice leaves in cold region based on hyperspectrum.. Nongye gongcheng xuebao. 32(20). 187–194. 5 indexed citations

17.

Su, Zhongbin, et al.. (2016). Fuzzy synthetic assessment of swine house environmental adaptability.. Nongye gongcheng xuebao. 32(16). 198–205. 2 indexed citations

18.

Su, Zhongbin, et al.. (2015). Design and Implementation of Soil Nutrient Monitoring System Based on "3S" Technology. International Journal of Smart Home. 9(5). 153–164. 2 indexed citations

19.

Su, Zhongbin, et al.. (2013). Research on Intelligent Decision Support System of Soybean. Dongbei Nongye Daxue xuebao. 20(2). 71–76. 1 indexed citations

20.

Su, Zhongbin, et al.. (2010). Research on the model construction of soybean root system based on L-system. World Automation Congress. 195–199. 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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