Kun Xue

2.8k total citations · 1 hit paper
65 papers, 2.1k citations indexed

About

Kun Xue is a scholar working on Oceanography, Environmental Chemistry and Water Science and Technology. According to data from OpenAlex, Kun Xue has authored 65 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Oceanography, 32 papers in Environmental Chemistry and 24 papers in Water Science and Technology. Recurrent topics in Kun Xue's work include Marine and coastal ecosystems (49 papers), Aquatic Ecosystems and Phytoplankton Dynamics (32 papers) and Water Quality Monitoring and Analysis (21 papers). Kun Xue is often cited by papers focused on Marine and coastal ecosystems (49 papers), Aquatic Ecosystems and Phytoplankton Dynamics (32 papers) and Water Quality Monitoring and Analysis (21 papers). Kun Xue collaborates with scholars based in China, United States and Italy. Kun Xue's co-authors include Ronghua Ma, Zhigang Cao, Hongtao Duan, Ming Shen, Steven Loiselle, Junfeng Xiong, Minqi Hu, John M. Mélack, Nima Pahlevan and Dian Wang and has published in prestigious journals such as The Science of The Total Environment, Water Research and Remote Sensing of Environment.

In The Last Decade

Kun Xue

54 papers receiving 2.0k citations

Hit Papers

A machine learning approach to estimate chlorophyll-a fro... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Xue China 26 1.3k 937 652 605 489 65 2.1k
Evangelos Spyrakos United Kingdom 21 1.2k 0.9× 689 0.7× 542 0.8× 465 0.8× 392 0.8× 62 1.9k
Caren Binding Canada 18 1.6k 1.2× 817 0.9× 757 1.2× 379 0.6× 426 0.9× 24 2.1k
Yingxin Shang China 32 1.4k 1.1× 855 0.9× 611 0.9× 589 1.0× 412 0.8× 78 2.4k
Deyong Sun China 26 1.8k 1.4× 927 1.0× 854 1.3× 473 0.8× 371 0.8× 114 2.3k
Leif G. Olmanson United States 16 1.1k 0.8× 840 0.9× 464 0.7× 464 0.8× 618 1.3× 21 2.1k
Kari Kallio Finland 23 1.4k 1.1× 815 0.9× 804 1.2× 512 0.8× 407 0.8× 50 2.0k
Heng Lyu China 26 1.0k 0.8× 655 0.7× 535 0.8× 428 0.7× 291 0.6× 76 1.6k
Ming Shen China 22 949 0.7× 670 0.7× 449 0.7× 420 0.7× 365 0.7× 64 1.6k
Daniel Odermatt Switzerland 21 1.1k 0.8× 621 0.7× 539 0.8× 475 0.8× 378 0.8× 55 1.9k
Chong Fang China 30 1.2k 0.9× 673 0.7× 485 0.7× 562 0.9× 390 0.8× 66 2.0k

Countries citing papers authored by Kun Xue

Since Specialization
Citations

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

Fields of papers citing papers by Kun Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Xue. A scholar is included among the top collaborators of Kun Xue 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 Kun Xue. Kun Xue 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
1.
Xue, Kun, Ronghua Ma, Menghua Wang, et al.. (2025). A state-of-art algorithm to retrieve particulate organic carbon concentration in optically complex waters via multiple satellite missions. Remote Sensing of Environment. 329. 114914–114914.
2.
Chen, Jian, et al.. (2025). Algal blooms in Lake Taihu: Earlier onset and extended duration. Harmful Algae. 148. 102917–102917. 1 indexed citations
4.
Wu, Zhipeng, et al.. (2025). An evaluation framework for identifying saline croplands for improvement: A case study of Songnen Plain. Geoderma Regional. 41. e00963–e00963. 1 indexed citations
5.
Xiong, Junfeng, Chen Lin, Ronghua Ma, et al.. (2025). Remote Sensing Observations of Phosphorus in Eutrophic Lakes: From Concentration to Storage. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12.
6.
Ma, Ronghua, et al.. (2025). A non-optically active lake salinity dataset by satellite remote sensing. Scientific Data. 12(1). 1324–1324. 1 indexed citations
7.
Huang, Zehui, et al.. (2025). Short-term spatial prediction of algal blooms in Lake Taihu via machine learning and GOCI observations. Journal of Environmental Management. 388. 125964–125964.
8.
Xue, Kun, Ronghua Ma, Guangwei Zhu, et al.. (2024). A comprehensive time-series dataset linked to cyanobacterial blooms in Lake Taihu. Scientific Data. 11(1). 1365–1365.
9.
Huang, Zehui, Ronghua Ma, Menghua Wang, et al.. (2024). Monitoring the Vertical Variations in Chlorophyll-a Concentration in Lake Chaohu Using the Geostationary Ocean Color Imager. Remote Sensing. 16(14). 2611–2611. 1 indexed citations
10.
Yong, Wang, Jian Liu, Ran Chen, et al.. (2024). Enhanced lake elevation mapping using a zone-based method. Environmental Research Letters. 19(9). 94021–94021. 1 indexed citations
11.
Li, Linsen, et al.. (2024). A national-scale assessment on the spatial and temporal variations in water color for urban lakes in China. The Science of The Total Environment. 945. 173951–173951.
12.
Hu, Minqi, Ronghua Ma, Kun Xue, et al.. (2024). Eutrophication evolution of lakes in China: Four decades of observations from space. Journal of Hazardous Materials. 470. 134225–134225. 22 indexed citations
13.
Hu, Minqi, Ronghua Ma, Kun Xue, et al.. (2024). A dataset of trophic state index for nation-scale lakes in China from 40-year Landsat observations. Scientific Data. 11(1). 659–659. 12 indexed citations
14.
Zeng, Fanxuan, Chunqiao Song, Zhigang Cao, et al.. (2023). Monitoring inland water via Sentinel satellite constellation: A review and perspective. ISPRS Journal of Photogrammetry and Remote Sensing. 204. 340–361. 45 indexed citations
15.
Xue, Kun, Ronghua Ma, Ming Shen, et al.. (2023). Horizontal and vertical migration of cyanobacterial blooms in two eutrophic lakes observed from the GOCI satellite. Water Research. 240. 120099–120099. 24 indexed citations
16.
Xue, Kun, et al.. (2023). Applicability evaluation and method selection in detecting cyanobacterial bloom using HY-1C/D CZI data for inland lakes. National Remote Sensing Bulletin. 27(1). 171–186. 2 indexed citations
17.
Xue, Kun, Ronghua Ma, Ming Shen, et al.. (2020). Variations of suspended particulate concentration and composition in Chinese lakes observed from Sentinel-3A OLCI images. The Science of The Total Environment. 721. 137774–137774. 41 indexed citations
18.
Xiong, Junfeng, et al.. (2020). Detecting Spatiotemporal Features of Phosphorus Concentrations Using MODIS Images: A Case Study of Hongze Lake, China. Journal of Environmental Informatics. 1 indexed citations
19.
Zhao, Haisheng, et al.. (2019). Ionospheric scintillation suppression based on chemical release. Acta Physica Sinica. 68(10). 109401–109401.
20.
Shen, Ming, Hongtao Duan, Zhigang Cao, Kun Xue, & Ronghua Ma. (2017). Remote sensing estimation algorithm of diffuse attenuation coefficient applicable to different satellite data in Lake Taihu, China. Journal of Lake Sciences. 29(6). 1473–1484. 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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