Jiagen Hou

1.2k total citations
52 papers, 925 citations indexed

About

Jiagen Hou is a scholar working on Mechanics of Materials, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Jiagen Hou has authored 52 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Mechanics of Materials, 20 papers in Ocean Engineering and 15 papers in Mechanical Engineering. Recurrent topics in Jiagen Hou's work include Hydrocarbon exploration and reservoir analysis (36 papers), Hydraulic Fracturing and Reservoir Analysis (15 papers) and Seismic Imaging and Inversion Techniques (13 papers). Jiagen Hou is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (36 papers), Hydraulic Fracturing and Reservoir Analysis (15 papers) and Seismic Imaging and Inversion Techniques (13 papers). Jiagen Hou collaborates with scholars based in China, United States and Canada. Jiagen Hou's co-authors include Suihong Song, Tapan Mukerji, Xixin Wang, Yuming Liu, Luxing Dou, Yang Li, Shaohua Li, Dongmei Wang, Jian Sun and O. Hassan and has published in prestigious journals such as Water Resources Research, IEEE Transactions on Geoscience and Remote Sensing and Energies.

In The Last Decade

Jiagen Hou

48 papers receiving 909 citations

Peers

Jiagen Hou

GEOPH

Alexandre Campane Vidal Brazil

Suihong Song China

Yuqi Wu China

Zhiliang He China

Dengliang Gao United States

Zhensheng Shi China

Zhibo He China

Likuan Zhang China

Peter Hennings United States

Fang Hao China

Alexandre Campane Vidal Brazil

Jiagen Hou

344 ×0.6

311 ×0.7

276 ×0.7

268 ×1.2

GEOPH

137 ×1.0

Citations per year, relative to Jiagen Hou Jiagen Hou (= 1×) peers Alexandre Campane Vidal

Countries citing papers authored by Jiagen Hou

Since Specialization

Citations

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

Fields of papers citing papers by Jiagen Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiagen Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Jiagen Hou. A scholar is included among the top collaborators of Jiagen Hou 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 Jiagen Hou. Jiagen Hou 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

Liu, Yuming, et al.. (2024). Architectural Characteristics and Distribution Patterns of Gravity Flow Channels in Faulted Lake Basins: A Case Study of the Shahejie Formation in the Banqiao Oilfield, China. Energies. 17(2). 322–322. 1 indexed citations

Hou, Jiagen, et al.. (2023). Quantitative Prediction of Braided Sandbodies Based on Probability Fusion and Multi-Point Geostatistics. Energies. 16(6). 2796–2796. 2 indexed citations

Chen, Qi, et al.. (2023). The Architecture Characterization of Braided River Reservoirs in the Presence of Horizontal Wells—An Application in a Tight Gas Reservoir in the North Ordos Basin, China. Energies. 16(20). 7092–7092. 7 indexed citations

Hou, Jiagen, et al.. (2023). A novel genetic inversion workflow based on spectral decomposition and convolutional neural networks for sand prediction in Xihu Sag of East China Sea. Geoenergy Science and Engineering. 231. 212331–212331. 5 indexed citations

Liu, Yuming, et al.. (2022). Multiple seismic attributes fusion approach with support vector regression and forward simulation for sand body prediction and sedimentary facies interpretation — A case of the X gas field in Xihu Sag. Interpretation. 11(1). SA33–SA45. 2 indexed citations

Liu, Yuming, et al.. (2022). The reservoir property modeling of volcanic reservoir: An application to the Shahejie Formation, Zaoyuan oilfield, eastern China. Interpretation. 10(2). T351–T366. 1 indexed citations

Wang, Xixin, Yuming Liu, Jiagen Hou, et al.. (2020). The relationship between synsedimentary fault activity and reservoir quality — A case study of the Ek1 formation in the Wang Guantun area, China. Interpretation. 8(3). SM15–SM24. 50 indexed citations

Zhao, Bin, et al.. (2020). Physical parameter modeling of carbonate dissolution-vug reservoirs based on porosity inversion with optimization algorithm. Interpretation. 1–34. 8 indexed citations

Liu, Yuming, et al.. (2020). Sedimentary characteristics of muddy deposits in sandy braided fluvial system: A case study from outcrops of the Jurassic Yungang Formation in the Datong Basin, Central China. Interpretation. 8(3). SM139–SM149. 1 indexed citations

10.

Dou, Luxing, Jim Best, Zhidong Bao, et al.. (2020). The sedimentary architecture of hyperpycnites produced by transient turbulent flows in a shallow lacustrine environment. Sedimentary Geology. 411. 105804–105804. 12 indexed citations

11.

Dou, Luxing, Jiagen Hou, Yuming Liu, et al.. (2020). Sedimentary infill of shallow water deltaic sand bodies controlled by small-scale syndepositional faults related paleogeomorphology: Insights from the paleogene Shahejie formation in the Dongying depression, Bohai Bay Basin, Eastern China. Marine and Petroleum Geology. 118. 104420–104420. 14 indexed citations

12.

Duan, Taizhong, et al.. (2019). Spatial configuration of sand and mud in the lacustrine nearshore sand bar deposits and its geological implications. Petroleum Exploration and Development. 46(5). 954–968. 7 indexed citations

13.

Zhang, Bo, et al.. (2018). The determination of variogram in the presence of horizontal wells - An application to a conglomerate reservoir modeling, East China. Journal of Petroleum Science and Engineering. 173. 512–524. 19 indexed citations

14.

Wang, Xixin, et al.. (2018). Impacts of the Base-Level Cycle on Pore Structure of Mouth Bar Sand Bars: A Case Study of the Paleogene Kongdian Formation, Bohai Bay Basin, China. Energies. 11(10). 2617–2617. 3 indexed citations

15.

Liu, Yuming, et al.. (2018). Characterization of Architectural Elements of Ordovician Fractured-cavernous Carbonate Reservoirs, Tahe Oilfield, China. Journal of the Geological Society of India. 91(3). 315–322. 18 indexed citations

16.

Li, Yongqiang, et al.. (2017). Paleokarst reservoir features and their influence on production in the Tahe Oilfield, Tarim basin, China. Carbonates and Evaporites. 33(4). 705–716. 12 indexed citations

17.

Liu, Keke, et al.. (2016). Application of multiple-point geostatistics in 3D internal architecture modeling of point bar. 37(4). 583. 3 indexed citations

18.

Hou, Jiagen, et al.. (2015). A back propagation artificial neural network application in lithofacies identification. 33. 1028–1033. 1 indexed citations

19.

Hou, Jiagen, et al.. (2009). Model building for Chang-8 low permeability sandstone reservoir in the Yanchang formation of the Xifeng oil field. Mining Science and Technology (China). 19(2). 245–251. 4 indexed citations

20.

Hou, Jiagen. (2007). Prediction of interbeds intercalated into complex heterogeneous reservoirs at a high water cut stage. Petroleum Science. 4(3). 26–30. 7 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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