Fu J. Hou

829 total citations
10 papers, 641 citations indexed

About

Fu J. Hou is a scholar working on Orthopedics and Sports Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Fu J. Hou has authored 10 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Orthopedics and Sports Medicine, 5 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Fu J. Hou's work include Bone health and osteoporosis research (7 papers), Orthopaedic implants and arthroplasty (3 papers) and Hip disorders and treatments (3 papers). Fu J. Hou is often cited by papers focused on Bone health and osteoporosis research (7 papers), Orthopaedic implants and arthroplasty (3 papers) and Hip disorders and treatments (3 papers). Fu J. Hou collaborates with scholars based in United States, Netherlands and Germany. Fu J. Hou's co-authors include David P. Fyhrie, Dianna D. Cody, Steven A. Goldstein, Gary J. Gross, Horace J. Spencer, Susan J. Hoshaw, David A. Reimann, George Divine, Mohamed S. Hamid and Deepak Vashishth and has published in prestigious journals such as Journal of Biomechanics, The Journal of Arthroplasty and Annals of Biomedical Engineering.

In The Last Decade

Fu J. Hou

10 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fu J. Hou United States 8 432 406 164 88 69 10 641
Grant Bevill United States 9 471 1.1× 314 0.8× 200 1.2× 57 0.6× 145 2.1× 18 758
Stephen A Rossi United States 6 467 1.1× 708 1.7× 197 1.2× 155 1.8× 26 0.4× 7 935
Thomas L. Mueller Switzerland 11 227 0.5× 262 0.6× 222 1.4× 118 1.3× 41 0.6× 12 534
Han-Shiang Chen Taiwan 14 397 0.9× 659 1.6× 60 0.4× 138 1.6× 32 0.5× 19 919
Masahiko Bessho Japan 11 395 0.9× 618 1.5× 220 1.3× 174 2.0× 23 0.3× 27 827
Julien Wegrzyn France 12 538 1.2× 337 0.8× 219 1.3× 27 0.3× 70 1.0× 17 691
Juntaro Matsuyama Japan 9 255 0.6× 420 1.0× 125 0.8× 146 1.7× 25 0.4× 18 577
Michael Jekir United States 11 331 0.8× 252 0.6× 181 1.1× 39 0.4× 94 1.4× 14 544
Arnav Sanyal United States 9 220 0.5× 171 0.4× 191 1.2× 22 0.3× 56 0.8× 11 420
R.Bruce Martin United States 6 157 0.4× 153 0.4× 148 0.9× 43 0.5× 47 0.7× 10 386

Countries citing papers authored by Fu J. Hou

Since Specialization
Citations

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

Fields of papers citing papers by Fu J. Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fu J. Hou

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

All Works

10 of 10 papers shown
1.
Xiao, Honglin, et al.. (2023). A Transient-Pressure-Based Numerical Approach for Interlayer Identification in Sand Reservoirs. Fluid dynamics & materials processing. 20(3). 641–659. 1 indexed citations
2.
Yeni, Yener N., Fu J. Hou, Traci Eileen Ciarelli, Deepak Vashishth, & David P. Fyhrie. (2003). Trabecular Shear Stresses Predict In Vivo Linear Microcrack Density but not Diffuse Damage in Human Vertebral Cancellous Bone. Annals of Biomedical Engineering. 31(6). 726–732. 34 indexed citations
3.
Hou, Fu J., et al.. (2003). Underbalanced Drilling with Casing Evolution in the South Texas Vicksburg. SPE Annual Technical Conference and Exhibition. 7 indexed citations
4.
Cody, Dianna D., Fu J. Hou, George Divine, & David P. Fyhrie. (2000). Short Term In Vivo Precision of Proximal Femoral Finite Element Modeling. Annals of Biomedical Engineering. 28(4). 408–414. 39 indexed citations
5.
Fyhrie, David P., Susan J. Hoshaw, Mohamed S. Hamid, & Fu J. Hou. (2000). Shear Stress Distribution in the Trabeculae of Human Vertebral Bone. Annals of Biomedical Engineering. 28(10). 1194–1199. 35 indexed citations
6.
Cody, Dianna D., Gary J. Gross, Fu J. Hou, et al.. (1999). Femoral strength is better predicted by finite element models than QCT and DXA. Journal of Biomechanics. 32(10). 1013–1020. 344 indexed citations
7.
Hou, Fu J., et al.. (1998). Human vertebral body apparent and hard tissue stiffness. Journal of Biomechanics. 31(11). 1009–1015. 148 indexed citations
8.
Hou, Fu J. & David P. Fyhrie. (1996). Predicting Damage in Human Vertebral Cancellous Bone Using Large-Scale Linear Finite Element Models. Advances in Bioengineering. 311–312. 2 indexed citations
9.
Reuben, Jeffrey D., et al.. (1995). Effect of porous coating and loading conditions on total hip femoral stem stability. The Journal of Arthroplasty. 10(6). 839–847. 20 indexed citations
10.
Fyhrie, David P. & Fu J. Hou. (1995). Prediction of human vertebral cancellous bone strength using non-linear, anatomically accurate, large-scale, finite element analysis. 301–302. 11 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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