The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Data acquisition technologies for construction progress tracking
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Citations
Cites
Eastman, C., Teicholz, P. M., Sacks, R., & Liston, K. (2008) · Cited by 2,892
Tang, P., Huber, D., Akinci, B., Lipman, R., & Lytle, A. (2010) · Automation in Construction · doi:10.1016/j.autcon.2010.06.007 · Cited by 1,139
Automatic creation of semantically rich 3D building models from laser scanner data
Xiong, X., Adan, A., Akinci, B., & Huber, D. (2013) · Automation in Construction · doi:10.1016/j.autcon.2012.10.006 · Cited by 703
Pothole detection in asphalt pavement images
Koch, C., & Brilakis, I. (2011) · Advanced Engineering Informatics · doi:10.1016/j.aei.2011.01.002 · Cited by 584
Bosché, F., Ahmed, M., Turkan, Y., Haas, C. T., & Haas, R. (2015) · Automation in Construction · doi:10.1016/j.autcon.2014.05.014 · Cited by 550
Ren, J., Manzardo, A., Mazzi, A., Fedele, A., & Scipioni, A. (2013) · The Scientific World Journal · doi:10.1155/2013/918514 · Cited by 490
Bosché, F. (2010) · Advanced Engineering Informatics · doi:10.1016/j.aei.2009.08.006 · Cited by 482
Golparvar-Fard, M., Peña-Mora, F., & Savarese, S. (2015) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000205 · Cited by 404
Automated progress tracking using 4D schedule and 3D sensing technologies
Turkan, Y., Bosche, F., Haas, C. T., & Haas, R. (2012) · Automation in Construction · doi:10.1016/j.autcon.2011.10.003 · Cited by 374
Measuring and monitoring occupancy with an RFID based system for demand-driven HVAC operations
Li, N., Calis, G., & Becerik-Gerber, B. (2012) · Automation in Construction · doi:10.1016/j.autcon.2012.02.013 · Cited by 330
Cited by
Tang, S., Shelden, D. R., Eastman, C. M., Pishdad-Bozorgi, P., & Gao, X. (2019) · Automation in Construction · doi:10.1016/j.autcon.2019.01.020 · Cited by 853
Technologies for digital twin applications in construction
Tuhaise, V. V., Tah, J. H. M., & Abanda, F. H. (2023) · Automation in Construction · doi:10.1016/j.autcon.2023.104931 · Cited by 308
Giordano, M., Baumann, N., Crabolu, M., Fischer, R., Bellusci, G., & Magno, M. (2022) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2022.3165816 · Cited by 72
Braun, A., Tuttas, S., Stilla, U., & Borrmann, A. (2018) · Building Information Modeling · doi:10.1007/978-3-319-92862-3_28 · Cited by 12
Metadata
- Authors
- Omar, T., & Nehdi, M. L.
- Venue
- Automation in Construction
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 70
- Pages
- 143-155
- ISSN
- 0926-5805 (ISSN-L)
- OpenAlex
- W2470255109
- Cited by
- 284
- References
- 67
- FWCI
- 15.51
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Data acquisition technologies for construction progress tracking. https://app.cochat.ai/papers/10.1016/j.autcon.2016.06.016
- The paper
- Omar, T., & Nehdi, M. L. (2016). Data acquisition technologies for construction progress tracking. Automation in Construction. https://doi.org/10.1016/j.autcon.2016.06.016
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.