Jinyue Chen

699 total citations · 1 hit paper
26 papers, 413 citations indexed

About

Jinyue Chen is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Jinyue Chen has authored 26 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 8 papers in Environmental Engineering and 8 papers in Water Science and Technology. Recurrent topics in Jinyue Chen's work include Marine and coastal ecosystems (6 papers), Hydrological Forecasting Using AI (5 papers) and Water Quality Monitoring Technologies (5 papers). Jinyue Chen is often cited by papers focused on Marine and coastal ecosystems (6 papers), Hydrological Forecasting Using AI (5 papers) and Water Quality Monitoring Technologies (5 papers). Jinyue Chen collaborates with scholars based in China, Hong Kong and New Zealand. Jinyue Chen's co-authors include Rao Fu, Chongyang Wang, Shuisen Chen, Hao Jiang, Dan Li, Kai Jia, Brendan J. Hicks, Gui Jin, Yuyao Ye and Guoqiang Wang and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Journal of Environmental Management.

In The Last Decade

Jinyue Chen

22 papers receiving 400 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.

Remote Sensing Big Data for Water Environment Monitoring: Current Status, Challenges, and Future Prospects

2022 140 citations Jinyue Chen, Shuisen Chen et al. Earth s Future profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinyue Chen China	8	161	130	82	78	65	26	413
Yuntao Ye China	11	215 1.3×	95 0.7×	51 0.6×	29 0.4×	23 0.4×	32	390
Anurag Ohri India	13	166 1.0×	162 1.2×	153 1.9×	133 1.7×	27 0.4×	54	570
Jihoon Shin South Korea	14	180 1.1×	150 1.2×	55 0.7×	89 1.1×	94 1.4×	35	481
Sanaz Imen United States	12	204 1.3×	137 1.1×	171 2.1×	66 0.8×	59 0.9×	27	440
Jiping Yao China	11	195 1.2×	112 0.9×	76 0.9×	33 0.4×	14 0.2×	15	365
Jung Min Ahn South Korea	10	283 1.8×	105 0.8×	76 0.9×	80 1.0×	43 0.7×	41	472
Y. Jeffrey Yang United States	12	300 1.9×	143 1.1×	122 1.5×	83 1.1×	62 1.0×	24	569
Yong Ni China	11	465 2.9×	162 1.2×	118 1.4×	54 0.7×	49 0.8×	26	1.0k
Gang Xie China	8	192 1.2×	90 0.7×	81 1.0×	29 0.4×	14 0.2×	17	351
Gye-Woon Choi South Korea	14	173 1.1×	73 0.6×	106 1.3×	22 0.3×	38 0.6×	51	457

Countries citing papers authored by Jinyue Chen

Since Specialization

Citations

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

Fields of papers citing papers by Jinyue Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyue Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jinyue Chen. A scholar is included among the top collaborators of Jinyue Chen 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 Jinyue Chen. Jinyue Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Chongyang, Chenghu Zhou, Yingwei Yan, et al.. (2025). A universal method to recognize global big rivers estuarine turbidity maximum from remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing. 220. 509–523. 2 indexed citations

Ren, Shilong, et al.. (2025). Improved CASA-Based Net Ecosystem Productivity Estimation in China by Incorporating Developmental Factors into Autumn Phenology Model. Remote Sensing. 17(3). 487–487. 3 indexed citations

Zhao, Chenyao, Jinyue Chen, Hao Jiang, et al.. (2025). Water quality parameters-based prediction of dissolved oxygen in estuaries using advanced explainable ensemble machine learning. Journal of Environmental Management. 380. 125146–125146. 6 indexed citations

Bai, Xiaohui, Changzhi Yang, Lei Fang, et al.. (2025). Identification of Salt Marsh Vegetation in the Yellow River Delta Using UAV Multispectral Imagery and Deep Learning. Drones. 9(4). 235–235.

Fang, Lei, et al.. (2025). Drivers of Structural and Functional Resilience Following Extreme Fires in Boreal Forests of Northeast China. Fire. 8(3). 108–108. 1 indexed citations

Ren, Shilong, Xiaoyang Zhang, Zhaoliang Gao, et al.. (2025). The role of developmental and climate factors in driving autumn phenology across the Northern Hemisphere. Agricultural and Forest Meteorology. 368. 110548–110548.

Gao, Zhenyu, Guoqiang Wang, Yi Zhu, et al.. (2025). Prediction of water quality parameters and pollution exceedance analysis in typical rivers of semi-arid regions based on interpretable deep learning models. Environmental Pollution. 383. 126801–126801. 2 indexed citations

Gao, Zhenyu, Guoqiang Wang, Jinyue Chen, et al.. (2025). Kalman filtering assimilated machine learning methods significantly improve the prediction performance of water quality parameters. Ecological Informatics. 90. 103337–103337. 1 indexed citations

Chen, Jinyue, Chongyang Wang, Shuisen Chen, et al.. (2025). Hyperspectral modeling of colored dissolved organic matter (CDOM): Insights from machine learning and band ratio models. Estuarine Coastal and Shelf Science. 327. 109567–109567.

10.

Wang, Wanting, Guoqiang Wang, Jie Li, et al.. (2025). Remote sensing identification and model-based prediction of harmful algal blooms in inland waters: Current insights and future perspectives. Water Research X. 28. 100369–100369. 2 indexed citations

11.

Chen, Jinyue, et al.. (2025). Spatial‒temporal pattern of primary productivity in the South China Sea under the monsoon regulation: Insights from observations of 2003–2022. Marine Environmental Research. 205. 107015–107015. 2 indexed citations

12.

Xie, Gang, Xiaohui Bai, Yanbo Peng, et al.. (2024). Aquaculture Ponds Identification Based on Multi-Feature Combination Strategy and Machine Learning from Landsat-5/8 in a Typical Inland Lake of China. Remote Sensing. 16(12). 2168–2168. 4 indexed citations

13.

Li, Xuan, Lei Fang, Yanbo Peng, et al.. (2024). Disentangling the Influential Factors Driving NPP Decrease in Shandong Province: An Analysis from Time Series Evaluation Using MODIS and CASA Model. Remote Sensing. 16(11). 1966–1966. 7 indexed citations

14.

Wang, Wanting, et al.. (2024). Remote sensing retrieval and driving analysis of phytoplankton density in the large storage freshwater lake: A study based on random forest and Landsat-8 OLI. Journal of Contaminant Hydrology. 261. 104304–104304. 6 indexed citations

15.

Hou, Wenlong, Jinyue Chen, Maoxia He, et al.. (2024). Evolutionary trends and analysis of the driving factors of Ulva prolifera green tides: A study based on the random forest algorithm and multisource remote sensing images. Marine Environmental Research. 198. 106495–106495. 6 indexed citations

16.

Gao, Zhenyu, Jinyue Chen, Guoqiang Wang, et al.. (2023). A novel multivariate time series prediction of crucial water quality parameters with Long Short-Term Memory (LSTM) networks. Journal of Contaminant Hydrology. 259. 104262–104262. 35 indexed citations

17.

Chen, Jinyue, Shuisen Chen, Rao Fu, et al.. (2022). Remote Sensing Big Data for Water Environment Monitoring: Current Status, Challenges, and Future Prospects. Earth s Future. 10(2). 140 indexed citations breakdown →

18.

Chen, Jinyue, Shuisen Chen, Rao Fu, et al.. (2021). Remote Sensing Estimation of Chlorophyll-A in Case-II Waters of Coastal Areas: Three-Band Model Versus Genetic Algorithm–Artificial Neural Networks Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 3640–3658. 50 indexed citations

19.

Chen, Jinyue, Shuisen Chen, Rao Fu, et al.. (2021). Simulation of water hyacinth growth area based on multi-source geographic information data: An integrated method of WOE and AHP. Ecological Indicators. 125. 107574–107574. 16 indexed citations

20.

Zhang, Fujie, et al.. (2020). Remote Sensing Evaluation of Total Suspended Solids Dynamic with Markov Model: A Case Study of Inland Reservoir across Administrative Boundary in South China. Sensors. 20(23). 6911–6911. 26 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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