Chuanjun Zhan

730 total citations
19 papers, 577 citations indexed

About

Chuanjun Zhan is a scholar working on Environmental Engineering, Geophysics and Mechanics of Materials. According to data from OpenAlex, Chuanjun Zhan has authored 19 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Environmental Engineering, 6 papers in Geophysics and 4 papers in Mechanics of Materials. Recurrent topics in Chuanjun Zhan's work include Groundwater flow and contamination studies (13 papers), Seismic Imaging and Inversion Techniques (4 papers) and Hydraulic Fracturing and Reservoir Analysis (4 papers). Chuanjun Zhan is often cited by papers focused on Groundwater flow and contamination studies (13 papers), Seismic Imaging and Inversion Techniques (4 papers) and Hydraulic Fracturing and Reservoir Analysis (4 papers). Chuanjun Zhan collaborates with scholars based in China, United States and Spain. Chuanjun Zhan's co-authors include Zhenxue Dai, Mohamad Reza Soltanian, Xiaoying Zhang, Shangxian Yin, Ziqi Ma, Robert W. Ritzi, Zhijie Yang, Funing Ma, Felipe P. J. de Barros and Corey D. Wallace and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Water Research.

In The Last Decade

Chuanjun Zhan

18 papers receiving 571 citations

Peers

Chuanjun Zhan

WST

Bart Rogiers Belgium

Qiankun Luo China

Ravi P. Gupta India

Chuen‐Fa Ni Taiwan

Klaus Mosthaf Denmark

Jianbing Wu United States

Reza Taherdangkoo Germany

Alraune Zech Germany

Mohamed A. Yassin Saudi Arabia

E. Gringarten United States

Bart Rogiers Belgium

Chuanjun Zhan

299 ×1.1

128 ×0.9

53 ×0.5

71 ×0.7

76 ×0.8

WST

Citations per year, relative to Chuanjun Zhan Chuanjun Zhan (= 1×) peers Bart Rogiers

Countries citing papers authored by Chuanjun Zhan

Since Specialization

Citations

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

Fields of papers citing papers by Chuanjun Zhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuanjun Zhan

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

All Works

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19 of 19 papers shown

Zhan, Chuanjun, Zhenxue Dai, Jichun Wu, et al.. (2025). Combining hydrologic, chemical, and geophysical deep learning-based inversion for heterogeneous aquifer structure identification. Journal of Hydrology. 665. 134701–134701. 1 indexed citations

Zhan, Chuanjun, et al.. (2025). Impact of observation and surrogate-model noises on deep learning-based subsurface heterogeneous structure identification through monitoring network optimization. Advances in Water Resources. 207. 105204–105204.

Zhan, Chuanjun, Zhenxue Dai, Jiu Jimmy Jiao, et al.. (2025). Toward Artificial General Intelligence in Hydrogeological Modeling With an Integrated Latent Diffusion Framework. Geophysical Research Letters. 52(3). 4 indexed citations

Dai, Zhenxue, Chuanjun Zhan, Huichao Yin, et al.. (2025). Incorporating Deep Learning Into Hydrogeological Modeling: Advancements, Challenges, and Future Directions. SHILAP Revista de lepidopterología. 2(2). 4 indexed citations

Dai, Zhenxue, Zhijie Yang, Chuanjun Zhan, et al.. (2024). Exploring hydrogen geologic storage in China for future energy: Opportunities and challenges. Renewable and Sustainable Energy Reviews. 196. 114366–114366. 38 indexed citations

Dai, Zhenxue, Javier Samper, Chuanjun Zhan, et al.. (2024). Identification of solute transport parameters in fractured granites with heterogeneous apertures. Journal of Hydrology. 633. 130938–130938. 3 indexed citations

Zhan, Chuanjun, Zhenxue Dai, Shangxian Yin, Kenneth C. Carroll, & Mohamad Reza Soltanian. (2024). Conceptualizing future groundwater models through a ternary framework of multisource data, human expertise, and machine intelligence. Water Research. 257. 121679–121679. 46 indexed citations

Zhan, Chuanjun, Zhenxue Dai, Zhijie Yang, et al.. (2023). Subsurface sedimentary structure identification using deep learning: A review. Earth-Science Reviews. 239. 104370–104370. 52 indexed citations

Chen, Wei, Zhenxue Dai, Javier Samper, et al.. (2023). Impact of reactive mineral facies distributions on radionuclide sorption properties in multiscale heterogeneous granite rocks. Hydrogeology Journal. 31(6). 1581–1597. 7 indexed citations

10.

Zhan, Chuanjun, Zhenxue Dai, Mohamad Reza Soltanian, & Felipe P. J. de Barros. (2022). Data‐Worth Analysis for Heterogeneous Subsurface Structure Identification With a Stochastic Deep Learning Framework. Water Resources Research. 58(11). 65 indexed citations

11.

Ma, Funing, et al.. (2022). Upscaling of Se(IV) sorption coefficients with hierarchical mineral characterization in multi-scale fractured granite. Stochastic Environmental Research and Risk Assessment. 37(3). 877–887. 13 indexed citations

12.

Zhan, Chuanjun, Zhenxue Dai, Javier Samper, et al.. (2022). An integrated inversion framework for heterogeneous aquifer structure identification with single-sample generative adversarial network. Journal of Hydrology. 610. 127844–127844. 47 indexed citations

13.

Zhan, Chuanjun, Zhenxue Dai, Mohamad Reza Soltanian, & Xiaoying Zhang. (2021). Stage‐Wise Stochastic Deep Learning Inversion Framework for Subsurface Sedimentary Structure Identification. Geophysical Research Letters. 49(1). 61 indexed citations

14.

Zhang, Xiaoying, Funing Ma, Shangxian Yin, et al.. (2021). Application of upscaling methods for fluid flow and mass transport in multi-scale heterogeneous media: A critical review. Applied Energy. 303. 117603–117603. 141 indexed citations

15.

Ma, Ziqi, Zhenxue Dai, Xiaoying Zhang, et al.. (2021). Dispersivity variations of solute transport in heterogeneous sediments: numerical and experimental study. Stochastic Environmental Research and Risk Assessment. 36(2). 661–677. 11 indexed citations

16.

Dai, Zhenxue, et al.. (2020). How does resolution of sedimentary architecture data affect plume dispersion in multiscale and hierarchical systems?. Journal of Hydrology. 582. 124516–124516. 28 indexed citations

17.

Zhan, Chuanjun, Zhenxue Dai, Xiaoying Zhang, & Mohamad Reza Soltanian. (2019). HOW DOES RESOLUTION OF SEDIMENTARY ARCHITECTURE DATA AFFECT PLUME DISPERSION IN MULTISCALE AND HIERARCHICAL SYSTEMS?. Abstracts with programs - Geological Society of America. 1 indexed citations

18.

Dai, Zhenxue, Chuanjun Zhan, Mohamad Reza Soltanian, Robert W. Ritzi, & Xiaoying Zhang. (2018). Identifying spatial correlation structure of multimodal permeability in hierarchical media with Markov chain approach. Journal of Hydrology. 568. 703–715. 23 indexed citations

19.

Zhan, Chuanjun, et al.. (2012). Neurofilament proteins in axonal regeneration and neurodegenerative diseases.. PubMed. 7(8). 620–6. 32 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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