Umar Ashraf

2.6k citations

68 papers · 2.1k indexed · h-index 27

Impact in

Ocean Engineering top 0.5%
- Reservoir Engineering and Simulation Methods
- Drilling and Well Engineering
- Enhanced Oil Recovery Techniques
- Coal Properties and Utilization
Geophysics top 2%
- Seismic Imaging and Inversion Techniques

Papers in ⓘ

Mechanics of Materials 35
- Hydrocarbon exploration and reservoir analysis 35
Geophysics 30
- Seismic Imaging and Inversion Techniques 22
- earthquake and tectonic studies 5

Co-authors: Aqsa Anees (29 shared papers)Muhammad Ali (21 shared papers)Hassan Nasir Mangi (14 shared papers)Hung Vo Thanh (16 shared papers)Hucai Zhang (17 shared papers)Xiaonan Zhang (16 shared papers)Ren Jiang (14 shared papers)Huolin Ma (8 shared papers)
Journals: Geomechanics and Geophysics for Geo-Energy and Geo-Resources (5 papers)Frontiers in Earth Science (4 papers)Natural Resources Research (4 papers)Journal of Petroleum Science and Engineering (3 papers)The Science of The Total Environment (3 papers)
Partner nations: China Pakistan South Korea

In The Last Decade

Umar Ashraf

67 papers receiving 2.0k citations

Peers

Countries citing papers authored by Umar Ashraf

Since Specialization

Citations

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

Fields of papers citing papers by Umar Ashraf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Umar Ashraf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Umar Ashraf Line = papers co-authored together Umar Ashraf links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	An Emerged Challenge of Air Pollution and Ever-Increasing Particulate Matter in Pakistan; A Critical Review Journal of Hazardous Materials ·Muhammad Shehzaib Anjum, Syeda Mahnoor Ali, Muhammad Imad-ud-din, Muhammad Ahmed Subhani, Muhammad Naveed Anwar, Abdul‐Sattar Nizami, Umar Ashraf, Muhammad Fahim Khokhar	2020	135
2	Classification of reservoir facies using well log and 3D seismic attributes for prospect evaluation and field development: A case study of Sawan gas field, Pakistan Journal of Petroleum Science and Engineering ·Umar Ashraf, Peimin Zhu, Qamar Yasin, Aqsa Anees, Muhammad Imraz, Hassan Nasir Mangi, Saiq Shakeel	2018	125
3	A Core Logging, Machine Learning and Geostatistical Modeling Interactive Approach for Subsurface Imaging of Lenticular Geobodies in a Clastic Depositional System, SE Pakistan Natural Resources Research ·Umar Ashraf, Hucai Zhang, Aqsa Anees, Hassan Nasir Mangi, Muhammad Ali, Xiaonan Zhang, Muhammad Imraz, Saiq Shakeel Abbasi, Ayesha Abbas, Zaheen Ullah, Jar Ullah, Shucheng Tan	2021	114
4	Machine learning - A novel approach of well logs similarity based on synchronization measures to predict shear sonic logs Journal of Petroleum Science and Engineering ·Muhammad Ali, Ren Jiang, Huolin Ma, Heping Pan, Khizar Abbas, Umar Ashraf, Jar Ullah	2021	96
5	Controls on Reservoir Heterogeneity of a Shallow-Marine Reservoir in Sawan Gas Field, SE Pakistan: Implications for Reservoir Quality Prediction Using Acoustic Impedance Inversion Water ·Umar Ashraf, Hucai Zhang, Aqsa Anees, Muhammad Ali, Xiaonan Zhang, Saiq Shakeel Abbasi, Hassan Nasir Mangi	2020	93
6	Application of Unconventional Seismic Attributes and Unsupervised Machine Learning for the Identification of Fault and Fracture Network Applied Sciences ·Umar Ashraf, Hucai Zhang, Aqsa Anees, Hassan Nasir Mangi, Muhammad Ali, Zaheen Ullah, Xiaonan Zhang	2020	82
7	Building a rock physics model for the formation evaluation of the Lower Goru sand reservoir of the Southern Indus Basin in Pakistan Journal of Petroleum Science and Engineering ·Muhammad Ali, Huolin Ma, Heping Pan, Umar Ashraf, Ren Jiang	2020	71
8	Exploring the power of machine learning to predict carbon dioxide trapping efficiency in saline aquifers for carbon geological storage project Journal of Cleaner Production ·Majid Safaei-Farouji, Hung Vo Thanh, Zhenxue Dai, Abolfazl Mehbodniya, Mohammad Rahimi, Umar Ashraf, Ahmed E. Radwan	2022	70
9	Pore structure characteristics and fractal dimension analysis of low rank coal in the Lower Indus Basin, SE Pakistan Journal of Natural Gas Science and Engineering ·Hassan Nasir Mangi, Detian Yan, Nayima Hameed, Umar Ashraf, Riaz Hussain Rajper	2020	70
10	Application of robust intelligent schemes for accurate modelling interfacial tension of CO2 brine systems: Implications for structural CO2 trapping Fuel ·Majid Safaei-Farouji, Hung Vo Thanh, Danial Sheini Dashtgoli, Qamar Yasin, Ahmed E. Radwan, Umar Ashraf, Kang‐Kun Lee	2022	68
11	Channel identification using 3D seismic attributes and well logging in lower Shihezi Formation of Hangjinqi area, northern Ordos Basin, China Journal of Applied Geophysics ·Aqsa Anees, Wanzhong Shi, Umar Ashraf, Qinghai Xu	2019	66
12	Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage The Science of The Total Environment ·Hemeng Zhang, Hung Vo Thanh, Mohammad Rahimi, Watheq J. Al‐Mudhafar, Suparit Tangparitkul, Tao Zhang, Zhenxue Dai, Umar Ashraf	2023	61
13	Reservoir Quality Prediction of Gas-Bearing Carbonate Sediments in the Qadirpur Field: Insights from Advanced Machine Learning Approaches of SOM and Cluster Analysis Minerals ·Muhammad Rashid, Miao Luo, Umar Ashraf, Wakeel Hussain, Nafees Ali, Nosheen Rahman, Sartaj Hussain, Dmitriy A. Martyushev, Hung Vo Thanh, Aqsa Anees	2022	52
14	Application of Machine Learning for Lithofacies Prediction and Cluster Analysis Approach to Identify Rock Type Energies ·Mazahir Hussain, Shuang Liu, Umar Ashraf, Muhammad Ali, Wakeel Hussain, Nafees Ali, Aqsa Anees	2022	46
15	Evaluation of the geothermal parameters to decipher the thermal structure of the upper crust of the Longmenshan fault zone derived from borehole data Geothermics ·Jar Ullah, Miao Luo, Umar Ashraf, Heping Pan, Aqsa Anees, Li Dong, Muhammad Ali, Jawad Ali	2021	42
16	Reservoir characterization through comprehensive modeling of elastic logs prediction in heterogeneous rocks using unsupervised clustering and class-based ensemble machine learning Applied Soft Computing ·Muhammad Ali, Peimin Zhu, Ren Jiang, Huolin Ma, Muhsan Ehsan, Wakeel Hussain, Hao Zhang, Umar Ashraf, Jared Ullaah	2023	39
17	Application of hybrid artificial intelligent models to predict deliverability of underground natural gas storage sites Renewable Energy ·Hung Vo Thanh, Aiyoub Zamanyad, Majid Safaei-Farouji, Umar Ashraf, Hemeng Zhang	2022	39
18	Sedimentary Facies Controls for Reservoir Quality Prediction of Lower Shihezi Member-1 of the Hangjinqi Area, Ordos Basin Minerals ·Aqsa Anees, Hucai Zhang, Umar Ashraf, Ren Wang, Kai Liu, Ayesha Abbas, Zaheen Ullah, Xiaonan Zhang, Lizeng Duan, Fengwen Liu, Yang Zhang, Shucheng Tan, Wanzhong Shi	2022	38
19	A Novel Machine Learning Approach for Detecting Outliers, Rebuilding Well Logs, and Enhancing Reservoir Characterization Natural Resources Research ·Muhammad Ali, Peimin Zhu, Huolin Ma, Heping Pan, Khizar Abbas, Umar Ashraf, Jar Ullah, Ren Jiang, Hao Zhang	2023	38
20	The ungrind and grinded effects on the pore geometry and adsorption mechanism of the coal particles Journal of Natural Gas Science and Engineering ·Hassan Nasir Mangi, Ruan Chi, Detian Yan, Lara Sindhu, Lijin, Dongsheng He, Umar Ashraf, Haijiao Fu, Zixuan Liu, Wenyu Zhou, Aqsa Anees	2022	36

About Umar Ashraf

Umar Ashraf is a scholar working on Mechanics of Materials, Geophysics, Mechanical Engineering, Ocean Engineering and Artificial Intelligence, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hydrocarbon exploration and reservoir analysis (35 papers), Hydraulic Fracturing and Reservoir Analysis (28 papers), Seismic Imaging and Inversion Techniques (22 papers), Geochemistry and Geologic Mapping (10 papers), Reservoir Engineering and Simulation Methods (10 papers), Geological formations and processes (5 papers), earthquake and tectonic studies (5 papers) and Geological and Geophysical Studies (5 papers). The work is most often cited by research in Ocean Engineering (875 citations), Geophysics (679 citations), Mechanics of Materials (1.1k citations), Mechanical Engineering (978 citations) and Geology (102 citations). Umar Ashraf has collaborated with scholars based in China, Pakistan and South Korea. Frequent co-authors include Aqsa Anees, Muhammad Ali, Hassan Nasir Mangi, Hung Vo Thanh, Hucai Zhang, Xiaonan Zhang, Ren Jiang, Huolin Ma, Jar Ullah and Heping Pan. Their work appears in journals such as Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Frontiers in Earth Science, Natural Resources Research, Journal of Petroleum Science and Engineering and The Science of The Total Environment.

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.

Explore authors with similar magnitude of impact