Chang Chen

608 total citations
4 papers, 4 citations indexed

About

Chang Chen is a scholar working on Environmental Engineering, Global and Planetary Change and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Chang Chen has authored 4 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Environmental Engineering, 2 papers in Global and Planetary Change and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Chang Chen's work include Hydrological Forecasting Using AI (2 papers), Flood Risk Assessment and Management (2 papers) and Hydrology and Watershed Management Studies (1 paper). Chang Chen is often cited by papers focused on Hydrological Forecasting Using AI (2 papers), Flood Risk Assessment and Management (2 papers) and Hydrology and Watershed Management Studies (1 paper). Chang Chen collaborates with scholars based in China. Chang Chen's co-authors include Zhiguo Wang, Jie Li, F. Wang, Liang Chen, Hui Luo and Kaiyong Yang and has published in prestigious journals such as Stochastic Environmental Research and Risk Assessment, Journal of Hydroinformatics and Chinese Physics B.

In The Last Decade

Chang Chen

2 papers receiving 4 citations

Peers

Chang Chen
Z. B. Li China
Y. H. Lin Japan
Han Bao China
L. Guo China
C. Cude-Woods United States
J. Liao United States
Z. Song China
Z. B. Li China
Chang Chen
Citations per year, relative to Chang Chen Chang Chen (= 1×) peers Z. B. Li

Countries citing papers authored by Chang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Chen

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

All Works

4 of 4 papers shown
1.
Chen, Chang, et al.. (2025). GKASA–DDPM: a novel flood forecasting model based on Graph Kolmogorov–Arnold Attention and spatio-temporal attention under smoothing DDPM. Journal of Hydroinformatics. 27(3). 560–579. 2 indexed citations
2.
Chen, Chang, et al.. (2025). A novel flood forecasting model based on TimeGAN for data-sparse basins. Stochastic Environmental Research and Risk Assessment. 39(6). 2267–2280.
4.
Chen, Chang, et al.. (2021). A modified analytical model of the alkali-metal atomic magnetometer employing longitudinal carrier field*. Chinese Physics B. 30(5). 50707–50707. 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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