Muhammad Ali

1.4k total citations
49 papers, 1.1k citations indexed

About

Muhammad Ali is a scholar working on Mechanics of Materials, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, Muhammad Ali has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Mechanics of Materials, 25 papers in Mechanical Engineering and 21 papers in Ocean Engineering. Recurrent topics in Muhammad Ali's work include Hydrocarbon exploration and reservoir analysis (25 papers), Hydraulic Fracturing and Reservoir Analysis (24 papers) and Seismic Imaging and Inversion Techniques (15 papers). Muhammad Ali is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (25 papers), Hydraulic Fracturing and Reservoir Analysis (24 papers) and Seismic Imaging and Inversion Techniques (15 papers). Muhammad Ali collaborates with scholars based in China, Pakistan and South Korea. Muhammad Ali's co-authors include Umar Ashraf, Aqsa Anees, Ren Jiang, Hucai Zhang, Hassan Nasir Mangi, Huolin Ma, Xiaonan Zhang, Heping Pan, Jar Ullah and Wakeel Hussain and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Muhammad Ali

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Ali China 20 661 612 506 413 206 49 1.1k
Ali Moradzadeh Iran 22 554 0.8× 609 1.0× 868 1.7× 569 1.4× 197 1.0× 85 1.6k
Lichao Nie China 21 546 0.8× 160 0.3× 871 1.7× 619 1.5× 76 0.4× 71 1.5k
Linqi Zhu China 20 669 1.0× 333 0.5× 344 0.7× 164 0.4× 203 1.0× 48 975
Hikari Fujii Japan 21 302 0.5× 774 1.3× 279 0.6× 102 0.2× 139 0.7× 79 1.8k
Qamar Yasin China 20 727 1.1× 692 1.1× 576 1.1× 395 1.0× 135 0.7× 57 1.2k
Chaomo Zhang China 18 599 0.9× 338 0.6× 354 0.7× 132 0.3× 164 0.8× 50 817
Xueqing Zhou China 17 584 0.9× 307 0.5× 301 0.6× 132 0.3× 214 1.0× 50 876
Huolin Ma China 12 371 0.6× 284 0.5× 246 0.5× 182 0.4× 162 0.8× 24 575
Behzad Tokhmechi Iran 18 435 0.7× 564 0.9× 587 1.2× 210 0.5× 153 0.7× 76 989
Zhang Yan China 15 404 0.6× 216 0.4× 259 0.5× 365 0.9× 126 0.6× 75 892

Countries citing papers authored by Muhammad Ali

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Ali. A scholar is included among the top collaborators of Muhammad Ali 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 Muhammad Ali. Muhammad Ali 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.
Ehsan, Muhsan, et al.. (2025). Lithofacies and sandstone reservoir characterization for geothermal assessment through artificial intelligence. Results in Engineering. 26. 105173–105173. 3 indexed citations
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Ali, Muhammad, et al.. (2025). Machine learning-driven classification of hydraulic flow units for enhanced reservoir characterization. Physics of Fluids. 37(3). 3 indexed citations
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Ashraf, Umar, Hucai Zhang, Aqsa Anees, et al.. (2024). An ensemble-based strategy for robust predictive volcanic rock typing efficiency on a global-scale: A novel workflow driven by big data analytics. The Science of The Total Environment. 937. 173425–173425. 12 indexed citations
6.
Zhang, Hao, et al.. (2024). A Two-Stage Convolutional Neural Network for Interactive Channel Segmentation From 3-D Seismic Data. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 5 indexed citations
7.
Zhu, Peimin, et al.. (2024). A Deep Learning-Based Seismic Horizon Tracking Method With Uncertainty Encoding and Vertical Constraint. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 3 indexed citations
8.
Ali, Muhammad, Peimin Zhu, Ren Jiang, et al.. (2024). Data-driven lithofacies prediction in complex tight sandstone reservoirs: a supervised workflow integrating clustering and classification models. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 10(1). 23 indexed citations
9.
Ali, Muhammad, Peimin Zhu, Ren Jiang, et al.. (2023). Reservoir characterization through comprehensive modeling of elastic logs prediction in heterogeneous rocks using unsupervised clustering and class-based ensemble machine learning. Applied Soft Computing. 148. 110843–110843. 39 indexed citations
10.
Ehsan, Muhsan, et al.. (2023). The assessment of reservoir potential of Permian to Eocene reservoirs of Minwal-Joyamair fields, upper Indus basin, Pakistan. Heliyon. 9(6). e16517–e16517. 2 indexed citations
11.
Ullah, Jar, Huan Li, Umar Ashraf, et al.. (2023). Knowledge-based machine learning for mineral classification in a complex tectonic regime of Yingxiu-Beichuan fault zone, Sichuan basin. Geoenergy Science and Engineering. 229. 212077–212077. 14 indexed citations
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Ali, Muhammad, Huolin Ma, Heping Pan, et al.. (2023). A Novel Machine Learning Approach for Detecting Outliers, Rebuilding Well Logs, and Enhancing Reservoir Characterization. Natural Resources Research. 32(3). 1047–1066. 38 indexed citations
14.
Ali, Muhammad, et al.. (2022). Techno-Economic Analysis of Hybrid Renewable Energy-Based Electricity Supply to Gwadar, Pakistan. Sustainability. 14(23). 16281–16281. 5 indexed citations
15.
Ashraf, Umar, Aqsa Anees, Wanzhong Shi, et al.. (2022). Estimation of porosity and facies distribution through seismic inversion in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos basin. Frontiers in Earth Science. 10. 29 indexed citations
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Ashraf, Umar, Hucai Zhang, Aqsa Anees, et al.. (2020). Application of Unconventional Seismic Attributes and Unsupervised Machine Learning for the Identification of Fault and Fracture Network. Applied Sciences. 10(11). 3864–3864. 82 indexed citations
19.
Ali, Muhammad, et al.. (2019). Petrophysical analysis of well logs for reservoir evaluation: a case study of “Kadanwari” gas field, middle Indus basin, Pakistan. Arabian Journal of Geosciences. 12(6). 33 indexed citations
20.
Ali, Muhammad, et al.. (2006). Geophysical investigation of Al Jaww plain, eastern Abu Dhabi: Implications for structure and evolution of the frontal fold belts of Oman Mountains. AGU Fall Meeting Abstracts. 2006. 8 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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