Taohua He

780 total citations
39 papers, 639 citations indexed

About

Taohua He is a scholar working on Mechanics of Materials, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Taohua He has authored 39 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Mechanics of Materials, 12 papers in Ocean Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Taohua He's work include Hydrocarbon exploration and reservoir analysis (33 papers), Geochemistry and Geologic Mapping (11 papers) and Paleontology and Stratigraphy of Fossils (8 papers). Taohua He is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (33 papers), Geochemistry and Geologic Mapping (11 papers) and Paleontology and Stratigraphy of Fossils (8 papers). Taohua He collaborates with scholars based in China, United Kingdom and Russia. Taohua He's co-authors include Shuangfang Lu, Wenhao Li, Wenqing Pan, Simon W. Poulton, Rachel Wood, Graham Shields, Amelia Penny, K. H. Hoffmann, Rosalie Tostevin and Romain Guilbaud and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Taohua He

32 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taohua He China 13 410 248 160 136 133 39 639
Zhenkui Jin China 12 580 1.4× 238 1.0× 158 1.0× 82 0.6× 144 1.1× 30 727
Caina Yan China 6 427 1.0× 185 0.7× 147 0.9× 66 0.5× 85 0.6× 8 513
Qilong Fu United States 16 458 1.1× 315 1.3× 181 1.1× 67 0.5× 119 0.9× 29 643
Doris Groß Austria 13 491 1.2× 136 0.5× 156 1.0× 124 0.9× 184 1.4× 36 610
Chuanmin Zhou China 13 376 0.9× 143 0.6× 80 0.5× 74 0.5× 124 0.9× 24 491
Xiujian Ding China 16 659 1.6× 175 0.7× 92 0.6× 175 1.3× 193 1.5× 48 737
Xiaomin Xie China 13 441 1.1× 191 0.8× 111 0.7× 75 0.6× 123 0.9× 22 574
Dongming Zhi China 17 747 1.8× 197 0.8× 99 0.6× 184 1.4× 276 2.1× 50 918
Ao Su China 13 502 1.2× 157 0.6× 109 0.7× 88 0.6× 222 1.7× 38 635
Mohammad Reza Kamali Iran 14 560 1.4× 215 0.9× 62 0.4× 204 1.5× 176 1.3× 33 802

Countries citing papers authored by Taohua He

Since Specialization
Citations

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

Fields of papers citing papers by Taohua He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taohua He

This figure shows the co-authorship network connecting the top 25 collaborators of Taohua He. A scholar is included among the top collaborators of Taohua He 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 Taohua He. Taohua He 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.
Yang, Shengyu, et al.. (2025). Integrated framework of Total Organic Carbon (TOC) content prediction and application in shale. Geoenergy Science and Engineering. 250. 213811–213811.
2.
He, Taohua, et al.. (2025). Utilizing conditional generative adversarial networks for data augmentation in logging evaluation. Physics of Fluids. 37(3). 2 indexed citations
8.
Yang, Shengyu, et al.. (2024). Unsupervised contrastive learning: Shale porosity prediction based on conventional well logging. Physics of Fluids. 36(5). 8 indexed citations
9.
Xue, Haitao, Shuangfang Lu, H. Chris Greenwell, et al.. (2024). Molecular dynamics of quantitative evaluation of confined fluid behavior in nanopores media and the influencing mechanism: Pore size and pore geometry. Physics of Fluids. 36(9). 7 indexed citations
12.
He, Taohua, Shuangfang Lu, Wenhao Li, et al.. (2023). Aryl isoprenoids from the Lower Paleozoic in the Tarim Basin, NW China: Insight into deep ancient hydrocarbon exploration. Geoenergy Science and Engineering. 225. 211666–211666. 11 indexed citations
13.
14.
Lu, Shuangfang, et al.. (2023). Natural Fracture Occurrence Model Based on FMI Imaging Logging. ACS Omega. 8(2). 2034–2045. 2 indexed citations
15.
He, Taohua, Wenhao Li, Shuangfang Lu, et al.. (2022). Quantitatively unmixing method for complex mixed oil based on its fractions carbon isotopes: A case from the Tarim Basin, NW China. Petroleum Science. 20(1). 102–113. 23 indexed citations
16.
He, Taohua, Wenhao Li, Shuangfang Lu, et al.. (2021). Mechanism and geological significance of anomalous negative δ13Ckerogen in the Lower Cambrian, NW Tarim Basin, China. Journal of Petroleum Science and Engineering. 208. 109384–109384. 25 indexed citations
20.
Tostevin, Rosalie, Rachel Wood, Graham Shields, et al.. (2016). Low-oxygen waters limited habitable space for early animals. Nature Communications. 7(1). 12818–12818. 172 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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