BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Yang W, Fung TC, Chian KS, Chong CK. Finite element simulation of food transport through the esophageal body. World J Gastroenterol 2007; 13(9): 1352-1359 [PMID: 17457965 DOI: 10.3748/wjg.v13.i9.1352]
URL: https://www.wjgnet.com/1007-9327/full/v13/i9/1352.htm
Number Citing Articles
1
Hozhabr Mozafari, Pengfei Dong, Shijia Zhao, Yonghua Bi, Xinwei Han, Linxia Gu. Migration resistance of esophageal stents: The role of stent designComputers in Biology and Medicine 2018; 100 doi: 10.1016/j.compbiomed.2018.06.031
2
Sourav Halder, Shashank Acharya, Wenjun Kou, Peter J. Kahrilas, John E. Pandolfino, Neelesh A. Patankar. Mechanics informed fluoroscopy of esophageal transportBiomechanics and Modeling in Mechanobiology 2021; 20(3) doi: 10.1007/s10237-021-01420-0
3
Steven Dirven, Weiliang Xu, Leo K. Cheng, John Bronlund. Robot Intelligence Technology and Applications 2Advances in Intelligent Systems and Computing 2014; 274 doi: 10.1007/978-3-319-05582-4_41
4
E Pavarino, L A Neves, J M Machado, M F de Godoy, Y Shiyou, J C Momente, G F D Zafalon, A R Pinto, C R Valêncio, M Z do Nascimento. Delaunay Tetrahedralization of the Heart Based on Integration of Open Source CodesJournal of Physics: Conference Series 2014; 490 doi: 10.1088/1742-6596/490/1/012131
5
Ciara Durcan, Mokarram Hossain, Grégory Chagnon, Djordje Perić, Edouard Girard. Mechanical experimentation of the gastrointestinal tract: a systematic reviewBiomechanics and Modeling in Mechanobiology 2024; 23(1) doi: 10.1007/s10237-023-01773-8
6
Sourav Halder, Jun Yamasaki, Shashank Acharya, Wenjun Kou, Guy Elisha, Dustin A. Carlson, Peter J. Kahrilas, John E. Pandolfino, Neelesh A. Patankar. Esophageal Virtual Disease Landscape Using Mechanics-Informed Machine LearningSSRN Electronic Journal 2022;  doi: 10.2139/ssrn.4089135
7
Dong-Hua Liao, Jing-Bo Zhao, Hans Gregersen. Gastrointestinal tract modelling in health and diseaseWorld Journal of Gastroenterology 2009; 15(2): 169-176 doi: 10.3748/wjg.15.169
8
Sattar Din, Weiliang Xu, Leo K. Cheng, Steven Dirven. A Stretchable Array of Electronic Receptors for Esophageal Swallowing Robot for Biomimetic Simulations of Bolus TransportIEEE Sensors Journal 2018; 18(13) doi: 10.1109/JSEN.2018.2836330
9
Shuhan Liu, Dongling Qiao, Zihang Cheng, Fengwei Xie, Siming Zhao, Binjia Zhang. Towards designing dysphagia foods: Recent advances in influencing factors and computer modeling for the swallowing of thickened fluidsTrends in Food Science & Technology 2023; 137 doi: 10.1016/j.tifs.2023.05.008
10
Sourav Halder, Jun Yamasaki, Shashank Acharya, Wenjun Kou, Guy Elisha, Dustin A. Carlson, Peter J. Kahrilas, John E. Pandolfino, Neelesh A. Patankar. Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disordersArtificial Intelligence in Medicine 2022; 134 doi: 10.1016/j.artmed.2022.102435
11
Simon M. Harrison, Paul W. Cleary, Graham Eyres, Matthew D. Sinnott, Leif Lundin. Challenges in computational modelling of food breakdown and flavour releaseFood Funct. 2014; 5(11) doi: 10.1039/C4FO00786G
12
Seán Kilroy, Neelesh A. Patankar, Walter W. Chan, Giovanni Traverso, Eoin D. O’Cearbhaill. A Soft-Robotic Biomimetic Benchtop Model for Esophageal Motility SimulationNature Communications 2026; 17(1) doi: 10.1038/s41467-026-70260-2
13
Abhishek Mishra, Erukala Kalyan Kumar, Sriharsha Mishra, Ankit Pal, Kaustav Chaudhury, Subrata Kumar Panda. Comprehensive review on computational modeling of rheological behavior of various food with esophageal disorders: A mechanical perspective and diet modificationInternational Journal of Modern Physics C 2025; 36(09) doi: 10.1142/S0129183125500160
14
L.A. Neves, E. Pavarino, M.P. Souza, C.R. Valencio, G.F.D. Zafalon, Marcelo Zanchetta do Nascimento, Thaina Tosta. Multiscale Tetrahedral Meshes for FEM Simulations of Esophageal Injury2015 IEEE 28th International Symposium on Computer-Based Medical Systems 2015;  doi: 10.1109/CBMS.2015.76
15
Steven Dirven, Jacqueline Allen, Weiliang (Peter) Xu, Leo K Cheng. Soft-robotic esophageal swallowing as a clinically-inspired bolus rheometry techniqueMeasurement Science and Technology 2017; 28(3) doi: 10.1088/1361-6501/aa544f
16
Andrew Ho, Rebecca Affoo, Nicole Rogus-Pulia, Mark Nicosia, Yoko Inamoto, Eiichi Saitoh, Sheldon Green, Sidney Fels. Inferring the effects of saliva on liquid bolus flow using computer simulationComputers in Biology and Medicine 2017; 89 doi: 10.1016/j.compbiomed.2017.07.014
17
Mathias Peirlinck, Nic Debusschere, Francesco Iannaccone, Peter D. Siersema, Benedict Verhegghe, Patrick Segers, Matthieu De Beule. An in silico biomechanical analysis of the stent–esophagus interactionBiomechanics and Modeling in Mechanobiology 2018; 17(1) doi: 10.1007/s10237-017-0948-9
18
Steven Dirven, Weiliang Xu, Leo K. Cheng. Sinusoidal Peristaltic Waves in Soft Actuator for Mimicry of Esophageal SwallowingIEEE/ASME Transactions on Mechatronics 2015; 20(3) doi: 10.1109/TMECH.2014.2337291
19
Steven Dirven, Feijiao Chen, Weiliang Xu, John E. Bronlund, Jacqueline Allen, Leo K. Cheng. Design and Characterization of a Peristaltic Actuator Inspired by Esophageal SwallowingIEEE/ASME Transactions on Mechatronics 2014; 19(4) doi: 10.1109/TMECH.2013.2276406
20
Syn Schmitt, Michael Günther, Daniel F. B. Häufle. The dynamics of the skeletal muscle: A systems biophysics perspective on muscle modeling with the focus on Hill‐type muscle modelsGAMM-Mitteilungen 2019; 42(3) doi: 10.1002/gamm.201900013
21
Donghua Liao, Jingbo Zhao, Hans Gregersen. Biomechanics of Living Organs2017;  doi: 10.1016/B978-0-12-804009-6.00007-9
22
Pilot study of longitudinal ultrasonic sensor for dynamic volumetric assessment of gastroesophageal reflux2010 Annual International Conference of the IEEE Engineering in Medicine and Biology 2010;  doi: 10.1109/IEMBS.2010.5627843
23
M Preciado-Méndez, M Salinas-Vázquez, W Vicente, E Brito-de la Fuente, G Ascanio. Numerical analysis of extensional flow through the pharyngeal ductJournal of Physics: Conference Series 2017; 790 doi: 10.1088/1742-6596/790/1/012025
24
A. Hyeon Kim, Hayeon Jo, Kaustuv Roy, Sung Young Park. NIR and Oxidative Stress-Modulated Intestinal Peristalsis Motion of Tubular Conductive Thermo-Hydrogel ActuatorNano-Micro Letters 2026; 18(1) doi: 10.1007/s40820-026-02257-x
25
Jutta Keller, Christiane Fibbe, Frank Volke, Jeremy Gerber, Alexander C. Mosse, Meike Reimann-Zawadzki, Elisha Rabinovitz, Peter Layer, Paul Swain. Remote magnetic control of a wireless capsule endoscope in the esophagus is safe and feasible: results of a randomized, clinical trial in healthy volunteersGastrointestinal Endoscopy 2010; 72(5) doi: 10.1016/j.gie.2010.06.053
26
Donghua Liao, Dina Lelic, Feng Gao, Asbjørn Mohr Drewes, Hans Gregersen. Biomechanical functional and sensory modelling of the gastrointestinal tractPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2008; 366(1879) doi: 10.1098/rsta.2008.0091
27
F.J. Chen, S. Dirven, W.L. Xu, J. Bronlund, X.N. Li, A. Pullan. Review of the swallowing system and process for a biologically mimicking swallowing robotMechatronics 2012; 22(5) doi: 10.1016/j.mechatronics.2012.02.005
28
Morris Ark, Philip Boughton, Antonio Lauto, Giang T. Tran, Yongjuan Chen, Peter H. Cosman, Colin R. Dunstan. Characterisation of a novel light activated adhesive scaffold: Potential for device attachmentJournal of the Mechanical Behavior of Biomedical Materials 2016; 62 doi: 10.1016/j.jmbbm.2016.05.029
29
Steven Dirven, Weiliang Xu, Leo Cheng. Soft Robotics2015;  doi: 10.1007/978-3-662-44506-8_24
30
E. Pavarino, L. A. Neves, J. M. Machado, M. F. de Godoy, Y. Shiyou, J. C. Momente, G. F. D. Zafalon, A. R. Pinto, C. R. Valêncio. Free Tools and Strategies for the Generation of 3D Finite Element Meshes: Modeling of the Cardiac StructuresInternational Journal of Biomedical Imaging 2013; 2013 doi: 10.1155/2013/540571
31
Kamal Kansou, Wim Laurier, Maria N. Charalambides, Guy Della-Valle, Ilija Djekic, Aberham Hailu Feyissa, Francesco Marra, Rallou Thomopoulos, Bert Bredeweg. Food modelling strategies and approaches for knowledge transferTrends in Food Science & Technology 2022; 120 doi: 10.1016/j.tifs.2022.01.021