De‐hua Han

6.3k total citations · 2 hit papers
219 papers, 4.8k citations indexed

About

De‐hua Han is a scholar working on Geophysics, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, De‐hua Han has authored 219 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 155 papers in Geophysics, 115 papers in Mechanical Engineering and 93 papers in Ocean Engineering. Recurrent topics in De‐hua Han's work include Seismic Imaging and Inversion Techniques (155 papers), Hydraulic Fracturing and Reservoir Analysis (109 papers) and Drilling and Well Engineering (74 papers). De‐hua Han is often cited by papers focused on Seismic Imaging and Inversion Techniques (155 papers), Hydraulic Fracturing and Reservoir Analysis (109 papers) and Drilling and Well Engineering (74 papers). De‐hua Han collaborates with scholars based in United States, China and Denmark. De‐hua Han's co-authors include Amos Nur, Michael Batzle, Ronny Hofmann, Luanxiao Zhao, Fuyong Yan, H. L. Luo, Qiuliang Yao, H. Yin, Dominique Marion and Mritunjay Kumar and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Earth-Science Reviews.

In The Last Decade

De‐hua Han

207 papers receiving 4.6k citations

Hit Papers

Effects of porosity and clay content on wave velocities i... 1986 2026 1999 2012 1986 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
De‐hua Han United States 32 3.3k 2.2k 2.1k 1.5k 447 219 4.8k
Colin M. Sayers British Virgin Islands 41 4.4k 1.3× 3.0k 1.4× 3.2k 1.5× 2.7k 1.8× 308 0.7× 255 6.4k
Hiroki Sone United States 27 1.4k 0.4× 1.1k 0.5× 1.3k 0.6× 1.6k 1.1× 138 0.3× 63 3.0k
Maxim Lebedev Australia 53 1.9k 0.6× 5.4k 2.5× 3.3k 1.5× 4.1k 2.7× 916 2.0× 296 9.2k
Mehdi Ostadhassan China 41 523 0.2× 2.5k 1.2× 2.3k 1.1× 4.1k 2.8× 319 0.7× 257 5.4k
Daniel Ross Canada 16 269 0.1× 2.2k 1.0× 1.4k 0.6× 3.8k 2.5× 202 0.5× 33 4.7k
Erling Fjær Norway 25 822 0.3× 1.3k 0.6× 1.1k 0.5× 947 0.6× 128 0.3× 112 2.0k
Steffen Berg Netherlands 46 441 0.1× 6.0k 2.8× 3.1k 1.4× 3.7k 2.5× 438 1.0× 149 7.8k
Yves Guéguen France 45 3.9k 1.2× 1.9k 0.9× 1.1k 0.5× 2.5k 1.7× 184 0.4× 108 5.3k
David Mainprice France 50 7.4k 2.3× 255 0.1× 348 0.2× 1.0k 0.7× 474 1.1× 151 8.4k
Lan Wang China 22 195 0.1× 624 0.3× 710 0.3× 1.8k 1.2× 130 0.3× 80 3.0k

Countries citing papers authored by De‐hua Han

Since Specialization
Citations

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

Fields of papers citing papers by De‐hua Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De‐hua Han. 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 De‐hua Han. The network helps show where De‐hua Han may publish in the future.

Co-authorship network of co-authors of De‐hua Han

This figure shows the co-authorship network connecting the top 25 collaborators of De‐hua Han. A scholar is included among the top collaborators of De‐hua Han 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 De‐hua Han. De‐hua Han 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.
Qin, Xuan, et al.. (2023). Modeling the elastic characteristics of overpressure due to thermal maturation in organic shales. ADVANCES IN GEO-ENERGY RESEARCH. 10(3). 174–188. 8 indexed citations
2.
Zhao, Luanxiao, et al.. (2023). Joint geochemisty-rock physics modeling: Quantifying the effects of thermal maturity on the elastic and anisotropic properties of organic shale. Earth-Science Reviews. 247. 104627–104627. 11 indexed citations
3.
4.
Zhao, Luanxiao, Xuan Qin, Yang Wang, et al.. (2023). An empirical elastic anisotropy prediction model in self-sourced reservoir shales and its influencing factor analysis. Geophysics. 88(3). MR117–MR126. 11 indexed citations
5.
Yan, Fuyong, De‐hua Han, & Qiuliang Yao. (2021). Rock-physics constrained seismic anisotropy parameter estimation. Geophysics. 86(4). MR247–MR253. 1 indexed citations
6.
Wang, Yang, Luanxiao Zhao, De‐hua Han, et al.. (2021). Experimental quantification of the evolution of the static mechanical properties of tight sedimentary rocks during increasing-amplitude load and unload cycling. Geophysics. 87(2). MR73–MR83. 3 indexed citations
7.
Zhao, Luanxiao, Yirong Wang, Qiuliang Yao, et al.. (2021). Extended Gassmann equation with dynamic volumetric strain: Modeling wave dispersion and attenuation of heterogeneous porous rocks. Geophysics. 86(3). MR149–MR164. 26 indexed citations
8.
Yan, Fuyong, De‐hua Han, & Xuelian Chen. (2020). Simultaneous static and dynamic bulk modulus measurements under hydrostatic stress conditions and without applying strain gauge. Geophysics. 85(4). MR191–MR199. 3 indexed citations
9.
Yan, Fuyong, Lev Vernik, & De‐hua Han. (2019). Relationships between the anisotropy parameters for transversely isotropic mudrocks. Geophysics. 84(6). MR195–MR203. 12 indexed citations
10.
Yuan, Hemin, et al.. (2019). Attenuation analysis of heavy oil sands based on laboratory measurements. Geophysics. 84(5). B299–B309. 9 indexed citations
11.
Yan, Fuyong, et al.. (2016). Analysis of seismic anisotropy parameters for sedimentary strata. Geophysics. 81(5). D495–D502. 11 indexed citations
12.
Yan, Fuyong, De‐hua Han, Qiuliang Yao, & Xuelian Chen. (2016). Seismic velocities of halite salt: Anisotropy, heterogeneity, dispersion, temperature, and pressure effects. Geophysics. 81(4). D293–D301. 19 indexed citations
13.
Li, Hui, Luanxiao Zhao, De‐hua Han, Min Sun, & Yu Zhang. (2016). Elastic properties of heavy oil sands: Effects of temperature, pressure, and microstructure. Geophysics. 81(4). D453–D464. 13 indexed citations
14.
Zhao, Luanxiao, Xuan Qin, De‐hua Han, et al.. (2016). Rock-physics modeling for the elastic properties of organic shale at different maturity stages. Geophysics. 81(5). D527–D541. 105 indexed citations
15.
Yuan, Hemin, De‐hua Han, & Weimin Zhang. (2016). Seismic characterization of heavy oil reservoir during thermal production: A case study. Geophysics. 82(1). B13–B27. 8 indexed citations
16.
Yuan, Hemin, De‐hua Han, Hui Li, & Weimin Zhang. (2016). A comparison of bitumen sands and bitumen carbonates: Measured data. Geophysics. 82(1). MR39–MR50. 14 indexed citations
17.
Zhao, Luanxiao, De‐hua Han, Qiuliang Yao, Rui Zhou, & Fuyong Yan. (2015). Seismic reflection dispersion due to wave-induced fluid flow in heterogeneous reservoir rocks. Geophysics. 80(3). D221–D235. 54 indexed citations
18.
Han, De‐hua & Michael Batzle. (2004). Gassmann's equation and fluid-saturation effects on seismic velocities. Geophysics. 69(2). 398–405. 187 indexed citations
19.
Wu, Xiangyang, et al.. (2002). Acoustic velocities in super-critical hydrocarbon fluids and their relations to PVT data. Journal of Physics Condensed Matter. 14(44). 11463–11466. 1 indexed citations
20.
Marion, Dominique, Amos Nur, H. Yin, & De‐hua Han. (1992). Compressional velocity and porosity in sand-clay mixtures. Geophysics. 57(4). 554–563. 299 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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