Chongyang Wang

1.5k total citations · 1 hit paper
66 papers, 1.1k citations indexed

About

Chongyang Wang is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Chongyang Wang has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, 23 papers in Global and Planetary Change and 16 papers in Environmental Engineering. Recurrent topics in Chongyang Wang's work include Remote Sensing in Agriculture (19 papers), Marine and coastal ecosystems (9 papers) and Remote Sensing and LiDAR Applications (7 papers). Chongyang Wang is often cited by papers focused on Remote Sensing in Agriculture (19 papers), Marine and coastal ecosystems (9 papers) and Remote Sensing and LiDAR Applications (7 papers). Chongyang Wang collaborates with scholars based in China, United States and Japan. Chongyang Wang's co-authors include Shuisen Chen, Hao Jiang, Li Wang, Dan Li, Jinyue Chen, Dan Li, Danni Wang, Rao Fu, Ji Yang and Qiong Zheng and has published in prestigious journals such as The Journal of Chemical Physics, The Astrophysical Journal and The Science of The Total Environment.

In The Last Decade

Chongyang Wang

59 papers receiving 1.0k citations

Hit Papers

Remote Sensing Big Data for Water Environment Monitoring:... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chongyang Wang China 18 353 294 286 204 166 66 1.1k
Jianli Ding China 18 276 0.8× 263 0.9× 434 1.5× 236 1.2× 118 0.7× 60 1.0k
Sha Zhang China 18 298 0.8× 530 1.8× 192 0.7× 140 0.7× 114 0.7× 89 1.2k
Yanlan Wu China 20 283 0.8× 357 1.2× 645 2.3× 171 0.8× 95 0.6× 75 1.4k
Binbin Li China 21 366 1.0× 329 1.1× 155 0.5× 328 1.6× 236 1.4× 109 1.4k
Lijuan Wang China 14 167 0.5× 259 0.9× 88 0.3× 127 0.6× 104 0.6× 63 724
Yangwon Lee South Korea 16 251 0.7× 327 1.1× 194 0.7× 52 0.3× 197 1.2× 133 904
L. Karthikeyan India 13 255 0.7× 467 1.6× 869 3.0× 290 1.4× 160 1.0× 32 1.5k
Amy L. Kaleita United States 19 305 0.9× 227 0.8× 352 1.2× 189 0.9× 304 1.8× 84 1.2k

Countries citing papers authored by Chongyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chongyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chongyang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chongyang Wang. A scholar is included among the top collaborators of Chongyang Wang 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 Chongyang Wang. Chongyang Wang 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.
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
2.
Jiang, Hao, Yangxiaoyue Liu, Jianhui Xu, et al.. (2025). CropLayer: a 2 m resolution cropland map of China for 2020 from Mapbox and Google satellite imagery. Earth system science data. 17(12). 6703–6729.
3.
Wang, Chongyang, et al.. (2025). Lunar Degree-2 Tidal Love Number Determination Based on Combination of Four-way Radiometric Tracking and LLR Data. The Astronomical Journal. 169(4). 190–190. 1 indexed citations
4.
Yu, Yongchao & Chongyang Wang. (2025). Quasi-Newton L-BFGS based inexact primal–dual proximal point algorithms to solve nonsmooth convex composite programs for sparse signal recovery applications. Journal of Computational and Applied Mathematics. 475. 117042–117042.
5.
Chen, Shuisen, et al.. (2024). Towards interpretable machine learning for observational quantification of soil heavy metal concentrations under environmental constraints. The Science of The Total Environment. 926. 171931–171931. 16 indexed citations
6.
Wang, Chongyang, Fangxin Zou, Jian Zhao, et al.. (2024). Construction of lightweight, high-energy absorption 3D-printed scaffold for electromagnetic interference shielding with low reflection. Composites Part B Engineering. 291. 112043–112043. 16 indexed citations
7.
Zheng, Qiong, Yihao Chen, Yunfei Zhang, et al.. (2024). New Hyperspectral Geometry Ratio Index for Monitoring Rice Blast Disease from Leaf Scale to Canopy Scale. Remote Sensing. 16(24). 4681–4681. 2 indexed citations
8.
Li, Jianhua, Chongyang Wang, Wei Guo, et al.. (2023). Active collision avoidance for teleoperated multi-segment continuum robots toward minimally invasive surgery. The International Journal of Robotics Research. 43(7). 918–941. 10 indexed citations
9.
Wang, Chongyang, et al.. (2023). An Improved YOLOv5s-Seg Detection and Segmentation Model for the Accurate Identification of Forest Fires Based on UAV Infrared Image. Remote Sensing. 15(19). 4694–4694. 22 indexed citations
11.
Wang, Chongyang, et al.. (2023). Shape Sensing for Single-Port Continuum Surgical Robot Using Few Multicore Fiber Bragg Grating Sensors. Journal of Shanghai Jiaotong University (Science). 28(3). 312–322. 2 indexed citations
12.
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 →
13.
Wang, Chongyang, Li Wang, Li Dan, et al.. (2021). Turbidity maximum zone index: a novel model for remote extraction of the turbidity maximum zone in different estuaries. Geoscientific model development. 14(11). 6833–6846. 5 indexed citations
14.
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
15.
Liu, Yangxiaoyue, Wenlong Jing, Shuai Sun, & Chongyang Wang. (2021). Multi-Scale and Multi-Depth Validation of Soil Moisture From the China Land Data Assimilation System. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 9913–9930. 10 indexed citations
16.
Zheng, Qiong, Huichun Ye, Wenjiang Huang, et al.. (2021). Integrating Spectral Information and Meteorological Data to Monitor Wheat Yellow Rust at a Regional Scale: A Case Study. Remote Sensing. 13(2). 278–278. 29 indexed citations
18.
Wang, Chongyang. (2020). Network Space Data Acquisition and Visualization Based on Openlayers and ECharts——Taking Shenyang Urban Areas as an Example. 69–72.
19.
Chen, Shuisen, et al.. (2017). Detecting the Temporal and Spatial Changes of Suspended Sediment Concentration in Hanjiang River Estuary During the Past 30 Years Using Landsat Imageries. Research Journal of Environmental Sciences. 11(4). 143–155. 1 indexed citations
20.
Feng, Min, et al.. (2016). Spatio-temporal Difference of Crops and Natural Vegetation Phenology in China at the Beginning of the 21st Century. Yaogan jishu yu yingyong. 31(5). 1003–1012. 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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