Maojin Tan

814 total citations
60 papers, 618 citations indexed

About

Maojin Tan is a scholar working on Mechanics of Materials, Nuclear and High Energy Physics and Geophysics. According to data from OpenAlex, Maojin Tan has authored 60 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Mechanics of Materials, 30 papers in Nuclear and High Energy Physics and 25 papers in Geophysics. Recurrent topics in Maojin Tan's work include NMR spectroscopy and applications (30 papers), Hydrocarbon exploration and reservoir analysis (30 papers) and Seismic Imaging and Inversion Techniques (16 papers). Maojin Tan is often cited by papers focused on NMR spectroscopy and applications (30 papers), Hydrocarbon exploration and reservoir analysis (30 papers) and Seismic Imaging and Inversion Techniques (16 papers). Maojin Tan collaborates with scholars based in China, United States and Poland. Maojin Tan's co-authors include Xiaodong Song, Xuan Yang, Gao‐Ren Li, Yujiang Shi, Cancan Zhou, Xiaochang C. Wang, Weihua Liu, W. Seiler, Heinz Rennenberg and R. Wassmann and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Maojin Tan

50 papers receiving 603 citations

Peers

Maojin Tan
Jian Gao China
Ayesha Abbas Pakistan
David G. Kersey United States
Sandra Vega United States
Zhibo He China
Maojin Tan
Citations per year, relative to Maojin Tan Maojin Tan (= 1×) peers Zhuoying Fan

Countries citing papers authored by Maojin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Maojin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maojin Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Maojin Tan. A scholar is included among the top collaborators of Maojin Tan 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 Maojin Tan. Maojin Tan 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
2.
Li, Chenglin, Maojin Tan, Chaoliu Li, et al.. (2024). Intelligent Identification and Quantitative Evaluation Method of Fluid Components from T2-T1 2D NMR Logging. SPE Journal. 29(10). 5426–5440.
3.
Tan, Maojin, et al.. (2024). Study on Feasibility and Location Method of Remote Detection Acoustic Reflection Imaging for Open Hole. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–10.
4.
Tan, Maojin, et al.. (2023). Borehole-to-Surface Electrical Imaging Technology for Dynamic Monitoring of Underground Gas Storage and Case Study. SPE Journal. 28(6). 3448–3463. 1 indexed citations
5.
Wu, Hongliang, et al.. (2023). A method of improving inversion accuracy for ultra-low signal-to-noise ratio echo train of nuclear magnetic resonance logging. Journal of Applied Geophysics. 214. 105024–105024. 1 indexed citations
6.
Liu, Qinjie, et al.. (2023). Interpreting coal component content in logging data by combining gray relational analysis and hybrid neural network. Interpretation. 11(4). T735–T744. 1 indexed citations
7.
Tan, Maojin, et al.. (2023). Identification of Shale Lithofacies from FMI Images and ECS Logs Using Machine Learning with GLCM Features. Processes. 11(10). 2982–2982. 2 indexed citations
9.
Tan, Maojin, et al.. (2023). Novel fluid typing method of NMR dual-TW logging in mixed-wet reservoirs. Geoenergy Science and Engineering. 229. 212097–212097. 3 indexed citations
10.
Xiao, Chengwen, et al.. (2022). Fluid identification based on geophysical well logs in ultralow-porosity tight sandstone reservoirs. Interpretation. 10(4). T775–T784. 3 indexed citations
12.
Li, Chenglin, Maojin Tan, Feng Zhou, et al.. (2022). Comparison of different inversion methods of D-T2 two-dimensional nuclear magnetic resonance logging and applicability analysis. Applied Geophysics. 19(2). 173–184.
14.
Tan, Maojin, et al.. (2020). Regression Committee Machine and Petrophysical Model Jointly Driven Parameters Prediction From Wireline Logs in Tight Sandstone Reservoirs. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–9. 8 indexed citations
15.
Tan, Maojin, et al.. (2018). Influential factors analysis and porosity correction method of nuclear magnetic resonance measurement in igneous rocks. Journal of Applied Geophysics. 161. 153–166. 17 indexed citations
16.
Tan, Maojin, et al.. (2014). Nuclear magnetic resonance (NMR) microscopic simulation based on random-walk: Theory and parameters analysis. Journal of Central South University. 21(3). 1091–1097. 8 indexed citations
17.
Tan, Maojin, et al.. (2010). Progress in geophysical logging technology for shale gas researvoirs. Progress in geophysics. 1 indexed citations
18.
Tan, Maojin. (2010). Introduction to Numerical Simulation of Electrical Logging and Its Development Trend. Well Logging Technology. 3 indexed citations
19.
Tan, Maojin, et al.. (2006). Description of carbonate reservoirs with NMR log analysis method. Progress in geophysics. 7 indexed citations
20.
Tan, Maojin. (2006). THEORY AND SOFTWARE DESIGN OF LOG DATA NORMALIZATION. 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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