Wakeel Hussain

723 total citations
47 papers, 516 citations indexed

About

Wakeel Hussain is a scholar working on Mechanics of Materials, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, Wakeel Hussain has authored 47 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mechanics of Materials, 22 papers in Mechanical Engineering and 17 papers in Ocean Engineering. Recurrent topics in Wakeel Hussain's work include Hydrocarbon exploration and reservoir analysis (24 papers), Hydraulic Fracturing and Reservoir Analysis (20 papers) and Reservoir Engineering and Simulation Methods (12 papers). Wakeel Hussain is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (24 papers), Hydraulic Fracturing and Reservoir Analysis (20 papers) and Reservoir Engineering and Simulation Methods (12 papers). Wakeel Hussain collaborates with scholars based in China, Pakistan and Tanzania. Wakeel Hussain's co-authors include Muhammad Ali, Nafees Ali, Umar Ashraf, Aqsa Anees, Hung Vo Thanh, Muhammad Rashid, Miao Luo, Xiaodong Fu, Ren Jiang and Peimin Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Fuel.

In The Last Decade

Wakeel Hussain

37 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wakeel Hussain China	13	320	295	271	119	83	47	516
Hassan Nasir Mangi China	13	459 1.4×	359 1.2×	319 1.2×	256 2.2×	105 1.3×	20	701
Atif Ismail Pakistan	13	269 0.8×	302 1.0×	277 1.0×	157 1.3×	33 0.4×	31	462
Shib Sankar Ganguli India	17	365 1.1×	423 1.4×	282 1.0×	257 2.2×	46 0.6×	40	636
Wanchun Zhao China	14	619 1.9×	370 1.3×	432 1.6×	114 1.0×	60 0.7×	45	809
Nafees Ali China	13	207 0.6×	191 0.6×	170 0.6×	83 0.7×	57 0.7×	30	410
Jar Ullah China	11	257 0.8×	231 0.8×	210 0.8×	154 1.3×	88 1.1×	24	438
Ghulam Mohyuddin Sohail Pakistan	14	306 1.0×	285 1.0×	232 0.9×	170 1.4×	59 0.7×	24	456
Anne‐Laure Fauchille France	15	429 1.3×	212 0.7×	203 0.7×	127 1.1×	18 0.2×	26	648
Wei Yin China	14	601 1.9×	234 0.8×	203 0.7×	114 1.0×	66 0.8×	47	776
Zhaojie Xue China	7	296 0.9×	249 0.8×	260 1.0×	59 0.5×	15 0.2×	9	450

Countries citing papers authored by Wakeel Hussain

Since Specialization

Citations

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

Fields of papers citing papers by Wakeel Hussain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wakeel Hussain

This figure shows the co-authorship network connecting the top 25 collaborators of Wakeel Hussain. A scholar is included among the top collaborators of Wakeel Hussain 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 Wakeel Hussain. Wakeel Hussain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Jinjie, et al.. (2025). Enhancing CO2 hydrate formation, stability and storage potential in sub-seafloor saline sediments using nanoparticle-assisted surfactant/polymer formulations: Exploring molecular interaction to field application. Gas Science and Engineering. 134. 205544–205544. 4 indexed citations

Wang, Haoran, et al.. (2025). Remote sensing and integration of machine learning algorithms for above-ground biomass estimation in Larix principis-rupprechtii Mayr plantations: a case study using Sentinel-2 and Landsat-9 data in northern China. Frontiers in Environmental Science. 13. 5 indexed citations

Chen, Yong, et al.. (2025). Early Eocene paleoclimate and brine composition from fluid inclusion analysis of Bahadur Khel Salt, Upper Indus Basin, Pakistan. Physics and Chemistry of the Earth Parts A/B/C. 139. 103913–103913.

Hussain, Wakeel, et al.. (2025). Mechanical modes and acoustic emission fractal characteristics of marble failure under true-triaxial loading. Engineering Fracture Mechanics. 319. 110985–110985. 2 indexed citations

Fu, Xiaodong, et al.. (2025). Estimation of rock strength parameters from petrological contents using tree-based machine learning techniques. 4(1). 3 indexed citations

Lu, Yun, Fei Cao, Min Yang, et al.. (2025). Fracture influence on karst development in carbonate reservoirs: Insights from the Lichuan karst region, Hubei, China. Physics and Chemistry of the Earth Parts A/B/C. 141. 104180–104180.

Wang, Jinjie, et al.. (2025). Nanostructured encapsulation for controlled CO2 storage as clathrate hydrate in sub-seabed saline sediments: Containment, stability, and field scale application toward decarbonization. A review. Journal of environmental chemical engineering. 13(5). 117765–117765. 1 indexed citations

Hussain, Wakeel, et al.. (2024). A Gamma-ray spectroscopy approach to evaluate clay mineral composition and depositional environment: A case study from the lower Goru Formation, Southern Indus Basin, Pakistan. Journal of Applied Geophysics. 226. 105414–105414. 8 indexed citations

Li, Zuochen, et al.. (2024). Paleoclimatic and environmental conditions of the Lower-Middle Ordovician carbonate reservoir in the middle of Tarim Basin (NW China): Constrained by petrographic, geochemical, and carbon–oxygen isotopic characteristics. Marine and Petroleum Geology. 167. 106989–106989.

10.

Liu, Shuang, et al.. (2024). Application of Deep Learning for Reservoir Porosity Prediction and Self Organizing Map for Lithofacies Prediction. Journal of Applied Geophysics. 230. 105502–105502. 8 indexed citations

11.

Wang, Jinjie, et al.. (2024). Enhancing CO2 hydrate formation and long-term stability in subseafloor saline sediments through integrated thermal and pressure management for effective CO2 sequestration. Applied Energy. 377. 124680–124680. 6 indexed citations

12.

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

13.

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

14.

Li, Zuochen, Misbah Fida, Wakeel Hussain, et al.. (2023). Sub-Himalayan Mesozoic-Cenozoic tectonic-stratigraphic properties and deformation features in the western limb of Hazara Kashmir syntaxis, Pakistan. Arabian Journal of Geosciences. 17(1).

15.

Hussain, Wakeel, et al.. (2023). Machine learning - a novel approach to predict the porosity curve using geophysical logs data: An example from the Lower Goru sand reservoir in the Southern Indus Basin, Pakistan. Journal of Applied Geophysics. 214. 105067–105067. 30 indexed citations

16.

Meng, Qingbang, et al.. (2023). Predicting minimum miscible pressure in pure CO2 flooding using machine learning: Method comparison and sensitivity analysis. Fuel. 354. 129263–129263. 34 indexed citations

17.

Hussain, Wakeel, et al.. (2023). Prospect Evaluation of the Cretaceous Yageliemu Clastic Reservoir Based on Geophysical Log Data: A Case Study from the Yakela Gas Condensate Field, Tarim Basin, China. Energies. 16(6). 2721–2721. 20 indexed citations

18.

Ali, Nafees, Xiaodong Fu, Umar Ashraf, et al.. (2022). Remote Sensing for Surface Coal Mining and Reclamation Monitoring in the Central Salt Range, Punjab, Pakistan. Sustainability. 14(16). 9835–9835. 12 indexed citations

19.

Gu, Jun, et al.. (2022). Application of Novel Machine Learning in the Prediction of Compressive Strength of Oil Well Cement with Reinforced Nanomaterial. SSRN Electronic Journal. 2 indexed citations

20.

Hussain, Wakeel, et al.. (2018). 95 Structure Investigation, Economics and Stratigraphy of the Paleozoic, Mesozoic and Cenozoic Sequence in the Vicinity Eastern and Western side of the Salt Range, Punjab Pakistan. 95–116. 3 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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