A novel defrosting initiation strategy based on convolutional neural network for air-source heat pump
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Existing defrosting processes typically require additional equipment and sensors or involve complex procedures.
“Existing defrosting processes typically require additional equipment and sensors [78,79] or involve complex procedures.”
From Enhancing heat-exchanger performance in frost conditions via superhydrophobic surface modification (2024) · cites this paper as [79]
Cites
A new convolutional neural network-based data-driven fault diagnosis method
Wen, L., Li, X., Gao, L., & Zhang, Y. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2774777 · Cited by 2,222 · see citing works
Fault diagnosis for rotating machinery using multiple sensors and convolutional neural networks
Xia, M., Li, T., Xu, L., Liu, L., & de Silva, C. W. (2018) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2017.2728371 · Cited by 723 · see citing works
Review on improvement for air source heat pump units during frosting and defrosting
Song, M., Deng, S., Dang, C., Mao, N., & Wang, Z. (2018) · Applied Energy · doi:10.1016/j.apenergy.2017.12.022 · Cited by 384 · see citing works
Ge, Y., Sun, Y., Wang, W., Zhu, J., Li, L., & Liu, J. (2016) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2015.07.004 · Cited by 68 · see citing works
Self-citationSong, M., Fan, C., Mao, N., & Xu, Y. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2018.08.027 · Cited by 51 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Ma, L., Sun, Y., Wang, F., Wang, M., Zhang, S., & Wang, Z. (2025) · Applied Energy · doi:10.1016/j.apenergy.2024.124358 · Cited by 54 · see citing works
Enhancing heat-exchanger performance in frost conditions via superhydrophobic surface modification
He, H., Zhou, X., Lyu, N., Wang, F., Liang, C., & Zhang, X. (2024) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2024.122914 · Cited by 19 · see citing works
Experimental study of solution defrosting characteristics of air source heat pump
Jiang, P., Zhang, Y., Fan, H., Jin, Q., & Yu, Y. (2024) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2023.121575 · Cited by 7 · see citing works
- Authors
- Wang, W., Zhou, Q., Tian, G., Wang, Y., Zhao, Z., & Cao, F.
- Affiliations
- University of Central Florida (US)
- Xi'an Jiaotong University (CN)
- The University of Texas at Dallas (US)
- Corresponding author
- Cao, Feng
- Venue
- International Journal of Refrigeration
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 128
- Pages
- 95-103
- ISSN
- 0140-7007 (ISSN-L)
- OpenAlex
- W3143847577
- Cited by
- 35
- References
- 5
- Citations by year
- 2026: 9 · 2025: 8 · 2024: 6 · 2023: 7 · 2022: 5
- FWCI
- 1.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Journal of Refrigeration (publishedVersion)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Refrigeration and Air Conditioning Technologies
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Engineering › Mechanical Engineering › Adsorption and Cooling Systems
- Keywords
- air-source heat pump, convolutional neural networks, frost prediction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
