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For: Dorosti S, Jafarzadeh Ghoushchi S, Sobhrakhshankhah E, Ahmadi M, Sharifi A. Application of gene expression programming and sensitivity analyses in analyzing effective parameters in gastric cancer tumor size and location. Soft Comput 2020;24:9943-64. [DOI: 10.1007/s00500-019-04507-0] [Cited by in Crossref: 31] [Cited by in F6Publishing: 31] [Article Influence: 7.8] [Reference Citation Analysis]
Number Citing Articles
1 Treesatayapun C, Muñoz-vázquez AJ. Optimal drug-dosing of cancer dynamics with fuzzy reinforcement learning and discontinuous reward function. Engineering Applications of Artificial Intelligence 2023;120:105851. [DOI: 10.1016/j.engappai.2023.105851] [Reference Citation Analysis]
2 Sadeghi ES, Bioky ZA, Hokmabadi M, Asadollahi S, Sarhadi F, Dolatabadi NF, Zamani A, Mahdevar M, Samarghandian S, Hashemi M, Peymani M. Increased expression of RCN1P2, TPM3P9, and HSP90AB3P as pseudogenes in gastric cancer linked to proliferative, inflammatory and metastatic pathways through a competing endogenous RNAs network Running Title: Pseudogenes' role in gastric cancer pathogenesis.. [DOI: 10.21203/rs.3.rs-2327032/v1] [Reference Citation Analysis]
3 Amini M, Pedram MM, Moradi A, Jamshidi M, Ouchani M, Abualigah L. GC-CNNnet: Diagnosis of Alzheimer’s Disease with PET Images Using Genetic and Convolutional Neural Network. Computational Intelligence and Neuroscience 2022;2022:1-15. [DOI: 10.1155/2022/7413081] [Reference Citation Analysis]
4 Manocha A, Bhatia M. IoT-Inspired Monitoring Framework for Real-Time Stereotypic Movement Analysis. IEEE Systems Journal 2022;16:2788-96. [DOI: 10.1109/jsyst.2021.3084370] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Molaei S, Ghorbani N, Dashtiahangar F, Peivandi M, Pourasad Y, Esmaeili M, Abdelaziz M. FDCNet: Presentation of the Fuzzy CNN and Fractal Feature Extraction for Detection and Classification of Tumors. Computational Intelligence and Neuroscience 2022;2022:1-16. [DOI: 10.1155/2022/7543429] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
6 V D, Sudalaimuthu K. Geostatistical, Deterministic and Interpolation with barriers methods- A comparative analysis for interpolating soil NPK. Geocarto International. [DOI: 10.1080/10106049.2022.2063413] [Reference Citation Analysis]
7 Ranjbarzadeh R, Dorosti S, Jafarzadeh Ghoushchi S, Safavi S, Razmjooy N, Tataei Sarshar N, Anari S, Bendechache M. Nerve optic segmentation in CT images using a deep learning model and a texture descriptor. Complex Intell Syst . [DOI: 10.1007/s40747-022-00694-w] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
8 Khan MUA, Shukla SK, Raja MNA. Load-settlement response of a footing over buried conduit in a sloping terrain: a numerical experiment-based artificial intelligent approach. Soft Comput. [DOI: 10.1007/s00500-021-06628-x] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
9 Li Y, Chu X, Tian D, Feng J, Mu W. Customer segmentation using K-means clustering and the adaptive particle swarm optimization algorithm. Applied Soft Computing 2021;113:107924. [DOI: 10.1016/j.asoc.2021.107924] [Cited by in Crossref: 13] [Cited by in F6Publishing: 16] [Article Influence: 6.5] [Reference Citation Analysis]
10 Chen L, Zhou W, Li C, Huang J. Forgetting memristors and memristor bridge synapses with long- and short-term memories. Neurocomputing 2021;456:126-35. [DOI: 10.1016/j.neucom.2021.05.062] [Cited by in Crossref: 11] [Cited by in F6Publishing: 4] [Article Influence: 5.5] [Reference Citation Analysis]
11 Liu K, Yu ZL, Wu W, Chen X, Gu Z, Guan C. fMRI-SI-STBF: An fMRI-informed Bayesian electromagnetic spatio-temporal extended source imaging. Neurocomputing 2021;462:14-30. [DOI: 10.1016/j.neucom.2021.06.066] [Reference Citation Analysis]
12 Sahani M, Rout SK, Dash PK. FPGA implementation of epileptic seizure detection using semisupervised reduced deep convolutional neural network. Applied Soft Computing 2021;110:107639. [DOI: 10.1016/j.asoc.2021.107639] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
13 Seyfollahi A, Ghaffari A, Ning Z. A Review of Intrusion Detection Systems in RPL Routing Protocol Based on Machine Learning for Internet of Things Applications. Wireless Communications and Mobile Computing 2021;2021:1-32. [DOI: 10.1155/2021/8414503] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 3.5] [Reference Citation Analysis]
14 Jia G, Lam HK, Xu Y. Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method. Comput Biol Med 2021;134:104425. [PMID: 33971427 DOI: 10.1016/j.compbiomed.2021.104425] [Cited by in Crossref: 30] [Cited by in F6Publishing: 32] [Article Influence: 15.0] [Reference Citation Analysis]
15 Jafarzadeh Ghoushchi S, Dorosti S, Khazaeili M, Mardani A. Extended approach by using best–worst method on the basis of importance–necessity concept and its application. Appl Intell 2021;51:8030-44. [DOI: 10.1007/s10489-021-02316-3] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
16 Liu X, Xiao G, Dai L, Zeng K, Yang C, Chen R. SCSA-Net: Presentation of two-view reliable correspondence learning via spatial-channel self-attention. Neurocomputing 2021;431:137-47. [DOI: 10.1016/j.neucom.2020.12.052] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
17 Yi X, Liu S. Impact of environmental factors on pulmonary tuberculosis in multi-levels industrial upgrading area of China. Environ Res 2021;195:110768. [PMID: 33548291 DOI: 10.1016/j.envres.2021.110768] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
18 Abdelhafez E, Dabbour L, Hamdan M. The effect of weather data on the spread of COVID-19 in Jordan. Environ Sci Pollut Res Int 2021;28:40416-23. [PMID: 33420694 DOI: 10.1007/s11356-020-12338-y] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 6.5] [Reference Citation Analysis]
19 Huang Y, Liu J, Harkin J, Mcdaid L, Luo Y. An memristor-based synapse implementation using BCM learning rule. Neurocomputing 2021;423:336-42. [DOI: 10.1016/j.neucom.2020.10.106] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 3.5] [Reference Citation Analysis]
20 Ahmadi M, Sharifi A, Khalili S. Presentation of a developed sub-epidemic model for estimation of the COVID-19 pandemic and assessment of travel-related risks in Iran. Environ Sci Pollut Res Int 2021;28:14521-9. [PMID: 33215282 DOI: 10.1007/s11356-020-11644-9] [Cited by in Crossref: 16] [Cited by in F6Publishing: 18] [Article Influence: 5.3] [Reference Citation Analysis]