Xiuliang Jin

2.9k total citations · 3 hit papers
74 papers, 2.2k citations indexed

About

Xiuliang Jin is a scholar working on Ecology, Plant Science and Environmental Engineering. According to data from OpenAlex, Xiuliang Jin has authored 74 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Ecology, 41 papers in Plant Science and 26 papers in Environmental Engineering. Recurrent topics in Xiuliang Jin's work include Remote Sensing in Agriculture (51 papers), Remote Sensing and LiDAR Applications (20 papers) and Smart Agriculture and AI (18 papers). Xiuliang Jin is often cited by papers focused on Remote Sensing in Agriculture (51 papers), Remote Sensing and LiDAR Applications (20 papers) and Smart Agriculture and AI (18 papers). Xiuliang Jin collaborates with scholars based in China, France and Netherlands. Xiuliang Jin's co-authors include Haikuan Feng, Zhenhai Li, Guijun Yang, Jibo Yue, Minghan Cheng, Yang Liu, Yiguang Fan, Xiyun Jiao, Xiaoyu Song and Chenwei Nie and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Frontiers in Plant Science.

In The Last Decade

Xiuliang Jin

69 papers receiving 2.1k 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.

Integrated phenology and climate in rice yields prediction using machine learning methods

2020 210 citations Yahui Guo, Xiuliang Jin et al. profile →
Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning

2022 129 citations Minghan Cheng, Xiyun Jiao et al. Agricultural Water Management profile →
Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data

2024 57 citations Haikuan Feng, Jibo Yue et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiuliang Jin China	29	1.4k	1.1k	722	490	345	74	2.2k
Tobias Hank Germany	25	1.6k 1.1×	1.0k 0.9×	762 1.1×	727 1.5×	377 1.1×	57	2.4k
Xingang Xu China	28	1.7k 1.2×	1.3k 1.2×	731 1.0×	680 1.4×	435 1.3×	83	2.5k
Hengbiao Zheng China	30	2.0k 1.4×	1.4k 1.3×	924 1.3×	510 1.0×	475 1.4×	66	2.5k
Kang Yu Germany	27	2.0k 1.4×	1.7k 1.5×	1.1k 1.5×	536 1.1×	541 1.6×	77	3.1k
Taifeng Dong Canada	23	1.3k 0.9×	687 0.6×	629 0.9×	712 1.5×	116 0.3×	64	1.8k
Raúl López‐Lozano France	18	1.1k 0.8×	878 0.8×	458 0.6×	559 1.1×	202 0.6×	43	1.7k
Eddy De Pauw Syria	15	1.0k 0.7×	724 0.6×	460 0.6×	394 0.8×	252 0.7×	33	1.7k
Baofeng Su China	16	1.4k 1.0×	1.0k 0.9×	690 1.0×	636 1.3×	325 0.9×	33	2.4k
Eileen M. Perry United States	17	1.1k 0.8×	701 0.6×	955 1.3×	855 1.7×	239 0.7×	38	2.1k
Maitiniyazi Maimaitijiang United States	23	2.1k 1.4×	1.5k 1.3×	1.3k 1.8×	652 1.3×	464 1.3×	42	3.5k

Countries citing papers authored by Xiuliang Jin

Since Specialization

Citations

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

Fields of papers citing papers by Xiuliang Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuliang Jin

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

Feng, Dayun, Kexin Gao, Xiuliang Jin, et al.. (2025). Time-series NDVI and greenness spectral indices in mid-to-late growth stages enhance maize yield estimation. Field Crops Research. 333. 110069–110069. 2 indexed citations

Zhang, Zhen, Xun Yu, Liming Li, et al.. (2025). How to Better Use Canopy Height in Soybean Biomass Estimation. Agriculture. 15(10). 1024–1024.

Cui, Ningbo, Huaan Jin, Xiuliang Jin, et al.. (2024). Optimization of multi-dimensional indices for kiwifruit orchard soil moisture content estimation using UAV and ground multi-sensors. Agricultural Water Management. 294. 108705–108705. 16 indexed citations

Nie, Chenwei, Xun Yu, Mingyue Gou, et al.. (2024). Comprehensive analysis of hyperspectral features for monitoring canopy maize leaf spot disease. Computers and Electronics in Agriculture. 225. 109350–109350. 7 indexed citations

Liu, Yang, Yiguang Fan, Jibo Yue, et al.. (2024). A model suitable for estimating above-ground biomass of potatoes at different regional levels. Computers and Electronics in Agriculture. 222. 109081–109081. 38 indexed citations

Song, Yang, Josep Peñuelas, Philippe Ciais, et al.. (2024). Recent Water Constraints Mediate the Dominance of Climate and Atmospheric CO₂ on Vegetation Growth Across China. Earth s Future. 12(6). 12 indexed citations

Yu, Xun, Dameng Yin, Urs Schmidhalter, et al.. (2024). Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV8. Precision Agriculture. 25(4). 1800–1838. 15 indexed citations

Song, Yang, Yahui Guo, Shijie Li, Wangyipu Li, & Xiuliang Jin. (2024). Elevated CO₂ concentrations contribute to a closer relationship between vegetation growth and water availability in the Northern Hemisphere mid-latitudes. Environmental Research Letters. 19(8). 84013–84013. 3 indexed citations

Fan, Yiguang, Yang Liu, Jibo Yue, et al.. (2024). Estimation of potato yield using a semi-mechanistic model developed by proximal remote sensing and environmental variables. Computers and Electronics in Agriculture. 223. 109117–109117. 18 indexed citations

10.

Liu, Yang, Haikuan Feng, Jibo Yue, et al.. (2023). Estimating potato above-ground biomass by using integrated unmanned aerial system-based optical, structural, and textural canopy measurements. Computers and Electronics in Agriculture. 213. 108229–108229. 75 indexed citations

11.

Shao, Mingchao, Chenwei Nie, Aijun Zhang, et al.. (2023). Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods. Computers and Electronics in Agriculture. 211. 108029–108029. 16 indexed citations

12.

Meng, Lin, Dameng Yin, Minghan Cheng, et al.. (2023). Improved Crop Biomass Algorithm with Piecewise Function (iCBA-PF) for Maize Using Multi-Source UAV Data. Drones. 7(4). 254–254. 11 indexed citations

13.

Zhou, Lili, Chenwei Nie, Yang Song, et al.. (2023). Evaluating the Canopy Chlorophyll Density of Maize at the Whole Growth Stage Based on Multi-Scale UAV Image Feature Fusion and Machine Learning Methods. Agriculture. 13(4). 895–895. 21 indexed citations

14.

Liu, Yang, Haikuan Feng, Jibo Yue, et al.. (2022). Estimation of Potato Above-Ground Biomass Based on Vegetation Indices and Green-Edge Parameters Obtained from UAVs. Remote Sensing. 14(21). 5323–5323. 18 indexed citations

15.

Liu, Yang, Haikuan Feng, Jibo Yue, et al.. (2022). Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression. Remote Sensing. 14(21). 5449–5449. 28 indexed citations

16.

Li, Delin, Zixu Wang, Mingchao Shao, et al.. (2022). Estimation of soybean yield parameters under lodging conditions using RGB information from unmanned aerial vehicles. Frontiers in Plant Science. 13. 1012293–1012293. 19 indexed citations

17.

Ji, Yishan, Zhen Chen, Qian Cheng, et al.. (2022). Estimation of plant height and yield based on UAV imagery in faba bean (Vicia faba L.). Plant Methods. 18(1). 26–26. 66 indexed citations

18.

Yu, Xun, Dameng Yin, Chenwei Nie, et al.. (2022). Maize tassel area dynamic monitoring based on near-ground and UAV RGB images by U-Net model. Computers and Electronics in Agriculture. 203. 107477–107477. 32 indexed citations

19.

Cheng, Minghan, Xiyun Jiao, Binbin Li, et al.. (2021). Long time series of daily evapotranspiration in China based on the SEBAL model and multisource images and validation. Earth system science data. 13(8). 3995–4017. 53 indexed citations

20.

Feng, Haikuan, et al.. (2016). Estimating equivalent water thickness of apple leaves using hyperspectral data based on EFAST and PLS.. Nongye gongcheng xuebao. 32(12). 165–171. 2 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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