Jing Zhou

3.2k total citations · 1 hit paper
108 papers, 2.0k citations indexed

About

Jing Zhou is a scholar working on Plant Science, Ecology and Mechanics of Materials. According to data from OpenAlex, Jing Zhou has authored 108 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 20 papers in Ecology and 16 papers in Mechanics of Materials. Recurrent topics in Jing Zhou's work include Remote Sensing in Agriculture (18 papers), Smart Agriculture and AI (17 papers) and Rock Mechanics and Modeling (10 papers). Jing Zhou is often cited by papers focused on Remote Sensing in Agriculture (18 papers), Smart Agriculture and AI (17 papers) and Rock Mechanics and Modeling (10 papers). Jing Zhou collaborates with scholars based in China, United States and Australia. Jing Zhou's co-authors include Zilong Zhou, Xin Cai, Lu Chen, Henry T. Nguyen, Jianfeng Zhou, Heng Ye, Dean P. Foster, Lyle Ungar, Wenzhuo Cao and Robert A. Stine and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Jing Zhou

97 papers receiving 1.9k 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.

Effects of water content on fracture and mechanical behavior of sandstone with a low clay mineral content

2018 205 citations Zilong Zhou, Xin Cai et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jing Zhou China	24	512	506	379	296	284	108	2.0k
J. Senthilnath Singapore	28	183 0.4×	557 1.1×	1.1k 2.9×	218 0.7×	259 0.9×	111	3.5k
Yaser A. Nanehkaran China	24	83 0.2×	1.3k 2.6×	221 0.6×	231 0.8×	36 0.1×	67	2.5k
Zhaohui Zheng China	8	46 0.1×	463 0.9×	111 0.3×	310 1.0×	209 0.7×	15	3.8k
Rutuparna Panda India	37	44 0.1×	708 1.4×	182 0.5×	163 0.6×	151 0.5×	166	4.4k
Chris McCool United States	28	122 0.2×	1.8k 3.6×	402 1.1×	62 0.2×	431 1.5×	99	3.5k
Mohammad Reza Alizadeh Iran	25	66 0.1×	301 0.6×	107 0.3×	141 0.5×	346 1.2×	112	2.1k
Jun Chen China	28	120 0.2×	544 1.1×	86 0.2×	689 2.3×	62 0.2×	210	2.5k
Stavros Vougioukas United States	27	68 0.1×	1.1k 2.2×	210 0.6×	314 1.1×	45 0.2×	107	2.1k
Haiyang Yu China	25	40 0.1×	495 1.0×	618 1.6×	148 0.5×	113 0.4×	124	4.8k
Weikuan Jia China	31	67 0.1×	1.1k 2.1×	204 0.5×	114 0.4×	64 0.2×	128	3.2k

Countries citing papers authored by Jing Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Jing Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Zhou

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

Yu, Tong, et al.. (2024). Evaluation of the Effect of Sentinel-1 SAR and Environmental Factors in Alfalfa Yield and Quality Estimation. Agronomy. 14(4). 859–859. 5 indexed citations

2.

Yu, Tong, et al.. (2023). Potato Leaf Area Index Estimation Using Multi-Sensor Unmanned Aerial Vehicle (UAV) Imagery and Machine Learning. Remote Sensing. 15(16). 4108–4108. 16 indexed citations

3.

Zhou, Jing, et al.. (2023). Plot-Level Maize Early Stage Stand Counting and Spacing Detection Using Advanced Deep Learning Algorithms Based on UAV Imagery. Agronomy. 13(7). 1728–1728. 11 indexed citations

4.

Feng, Aijing, Jing Zhou, Jianfeng Zhou, et al.. (2023). Developing an image processing pipeline to improve the position accuracy of single UAV images. Computers and Electronics in Agriculture. 206. 107650–107650. 6 indexed citations

5.

Zhao, Yuan, et al.. (2023). Mechanical property evolution model of cemented tailings-rock backfill considering strengthening and weakening effects. Construction and Building Materials. 377. 131081–131081. 28 indexed citations

6.

Zhou, Jing, et al.. (2023). Assessment of Soybean Lodging Using UAV Imagery and Machine Learning. Plants. 12(16). 2893–2893. 12 indexed citations

7.

Liu, Wenxin, et al.. (2022). IntegrateNet: A Deep Learning Network for Maize Stand Counting From UAV Imagery by Integrating Density and Local Count Maps. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 16 indexed citations

8.

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

9.

Fan, Jiahao, et al.. (2022). Estimation of Maize Yield and Flowering Time Using Multi-Temporal UAV-Based Hyperspectral Data. Remote Sensing. 14(13). 3052–3052. 40 indexed citations

10.

Zhou, Jing, et al.. (2021). Construction of Mixed Fermentation System of Four PGPR Strains and Evaluation of Its Promoting Effect. 37(4). 116.

11.

Zhou, Zilong, Ruishan Cheng, Yichao Rui, et al.. (2020). An Improved Onset Time Picking Method for Low SNR Acoustic Emission Signals. IEEE Access. 8. 47756–47767. 9 indexed citations

12.

Zhou, Jing, Jianfeng Zhou, Heng Ye, et al.. (2020). Classification of soybean leaf wilting due to drought stress using UAV-based imagery. Computers and Electronics in Agriculture. 175. 105576–105576. 86 indexed citations

13.

Zhou, Zilong, et al.. (2019). An Improved Automatic Picking Method for Arrival Time of Acoustic Emission Signals. IEEE Access. 7. 75568–75576. 23 indexed citations

14.

Zhou, Zilong, Yichao Rui, Jing Zhou, et al.. (2019). A New Acoustic Emission Source Location Method Using Tri-Variate Kernel Density Estimator. IEEE Access. 7. 158379–158388. 21 indexed citations

15.

Zhou, Jing, et al.. (2019). Estimation of the Maturity Date of Soybean Breeding Lines Using UAV-Based Multispectral Imagery. Remote Sensing. 11(18). 2075–2075. 65 indexed citations

16.

Zhou, Zilong, Yichao Rui, Jing Zhou, et al.. (2018). A New Closed-Form Solution for Acoustic Emission Source Location in the Presence of Outliers. Applied Sciences. 8(6). 949–949. 21 indexed citations

17.

Zhou, Zilong, Yichao Rui, Jing Zhou, Longjun Dong, & Xin Cai. (2018). Locating an Acoustic Emission Source in Multilayered Media Based on the Refraction Path Method. IEEE Access. 6. 25090–25099. 30 indexed citations

18.

Zhou, Jing, Hai Huang, & Milind Deo. (2015). Modeling the Interaction Between Hydraulic and Natural Fractures Using Dual-Lattice Discrete Element Method. 2010–2020. 18 indexed citations

19.

Zhou, Jing, Dean P. Foster, Robert A. Stine, & Lyle Ungar. (2006). Streamwise feature selection. Journal of Machine Learning Research. 7(67). 1861–1885. 101 indexed citations

20.

Ungar, Lyle, et al.. (2005). Streaming Feature Selection using IIC.. International Conference on Artificial Intelligence and Statistics. 14 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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