Xiuliang Jin

2.9k citations
74 papers · 2.2k indexed · 3 hit papers · h-index 29
Topics
Remote Sensing in Agriculture (51 papers)Remote Sensing and LiDAR Applications (20 papers)Smart Agriculture and AI (18 papers)
Partner nations
ChinaFranceSpain

In The Last Decade

Xiuliang Jin

69 papers receiving 2.1k citations

Hit Papers

Integrated phenology and climate in rice yields predictio...202020262022202420202022202450100150200

Peers

Xiuliang Jin
Comparison fields: 5 of 96
  • Ecology 1.4k
  • Plant Science 1.1k
  • Environmental Engineering 722
  • Global and Planetary Change 490
  • Analytical Chemistry 345
Replace Tobias Hank with:
Tobias Hank Germany
Xingang Xu China
Hengbiao Zheng China
Kang Yu Germany
Raúl López‐Lozano France
Baofeng Su China
Eddy De Pauw Syria
Taifeng Dong Canada
Eileen M. Perry United States
Maitiniyazi Maimaitijiang United States
Xiuliang Jin relative to Tobias Hank Germany Tobias Hank's profile →
Citations per field
00.5×1.5×1.9×
Tobias Hank · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 2
4 16
5 7
6 38
7
Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral databreakdown →
57
8 15
9 3
10 12
11 75
12 16
13 4
14 22
15 17
16 13
17 66
18 28
19 30
20
Estimating equivalent water thickness of apple leaves using hyperspectral data based on EFAST and PLS.
2

About Xiuliang Jin

Xiuliang Jin is a scholar working on Ecology, Environmental Engineering and Analytical Chemistry, having authored 74 papers that have together received 2.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (51 papers), Remote Sensing and LiDAR Applications (20 papers) and Smart Agriculture and AI (18 papers). The work is most often cited by research in Ecology (1.4k citations), Environmental Engineering (722 citations) and Analytical Chemistry (345 citations). Xiuliang Jin has collaborated with scholars based in China, France and Spain. Frequent co-authors include Haikuan Feng, Zhenhai Li, Guijun Yang, Jibo Yue, Minghan Cheng, Yang Liu, Yiguang Fan, Xiaoyu Song, Xiyun Jiao and Chenwei Nie. Their work appears in journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Frontiers in Plant Science.

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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