EMULSION

Разработване на многосервизна облачнобазирана IoT оперативна платформа с общо предназначение

Научни публикации в списания с импакт фактор (IF) - Етап 2

  1. Z. Ji, Z. Yu, C. Liu, Z. Wang, S. Hao, I. Ganchev. 2024. “AFCF-Net: a novel U-Net based asymmetric feature calibration and fusion network for skin lesion image segmentation”. PLoS One, 19(11): e0314000, Pp. 1-26. November. (e)ISSN: 1932-6203. DOI: 10.1371/journal.pone.0314000.
    WoS, IF2023=2.9 / Q1; Scopus, SJR2023=0.839 / Q1
    https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0314000
  2. S. Hao, X. Li, W. Peng, Z. Fan, Z. Ji, I. Ganchev. 2024. “YOLO-CXR: A novel detection network for locating multiple small lesions in chest X-ray images”. IEEE Access, Vol. 12, October, Pp. 156003-156019. (e)ISSN: 2169-3536. DOI: 10.1109/ACCESS.2024.3482102.
    WoS, IF2023=3.4 / Q2; Scopus, SJR2023=0.960 / Q1
    https://ieeexplore.ieee.org/document/10720017
  3. Z. Ji, X. Wang, C. Liu, Z. Wang, N. Yuan, I. Ganchev. 2024. “EFAM-Net: A Multi-Class Skin Lesion Classification Model Utilizing Enhanced Feature Fusion and Attention Mechanisms”. IEEE Access, Vol. 12, September, Pp. 143029-143041. (e)ISSN: 2169-3536. DOI: 10.1109/ACCESS.2024.3468612.
    WoS, IF2023=3.4 / Q2; Scopus, SJR2023=0.960 / Q1
    https://ieeexplore.ieee.org/document/10695064
  4. S. Hao, Z. Yu, B. Zhang, C. Dai, Z. Fan, Z. Ji, I. Ganchev. 2024. “MEFP-Net: A Dual-Encoding Multi-Scale Edge Feature Perception Network for Skin Lesion Segmentation”. IEEE Access, Vol. 12, September, Pp. 140039-140052. (e)ISSN: 2169-3536. DOI: 10.1109/ACCESS.2024.3467678.
    WoS, IF2023=3.4 / Q2; Scopus, SJR2023=0.960 / Q1
    https://ieeexplore.ieee.org/document/10693416
  5. Z. Ji, X. Li, Z. Wang, H. Zhang, N. Yuan, X. Zhang, I. Ganchev. 2024. “CafeNet: A Novel Multi-scale Context Aggregation and Multi-level Foreground Enhancement Network for Polyp Segmentation”. International Journal of Imaging Systems and Technology, Wiley. 34:e23183, September, Pp. 1-15. ISSN: 0899-9457. eISSN: 1098-1098. DOI: 10.1002/ima.23183.
    WoS, IF2023=3.0 / Q2; Scopus, SJR2023=0.706 / Q2
    https://onlinelibrary.wiley.com/doi/10.1002/ima.23183
  6. J. Liu, J. Mu, H. Sun, C. Dai, Z. Ji, I. Ganchev. 2024. “DLGRAFE-Net: A Double Loss Guided Residual Attention and Feature Enhancement Network for Polyp Segmentation”. PLoS One, 19(9): e0308237, Pp. 1-18. September. (e)ISSN: 1932-6203. DOI: 10.1371/journal.pone.0308237.
    WoS, IF2023=2.9 / Q1; Scopus, SJR2023=0.839 / Q1
    https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0308237
  7. S. Hao, Y. Jia, J. Liu, Z. Wang, C. Liu, Z. Ji, I. Ganchev. 2024. “ST-Double-Net: A Two-Stage Breast Tumor Classification Model Based on Swin Transformer and Weakly Supervised Target Localization”. IEEE Access, Vol. 12, September, Pp. 117921-117933. (e)ISSN: 2169-3536. DOI: 10.1109/ACCESS.2024.3445954.
    WoS, IF2023=3.4 / Q2; Scopus, SJR2023=0.960 / Q1
    https://ieeexplore.ieee.org/document/10639378
  8. L. Shi, W. Zhou, Y. Wu, N. Yuan, X. Zang, Z. Ji, I. Ganchev. 2024. “DCM-CNER: A Dual-Channel Model for Clinical Named Entity Recognition Based on Embedded ConvNet and Gated Dilated CNN”. IEEE Access, Vol. 12, July, Pp. 97726-97738. (e)ISSN: 2169-3536. DOI: 10.1109/ACCESS.2024.3422677.
    WoS, IF2023=3.4 / Q2; Scopus, SJR2023=0.960 / Q1
    https://ieeexplore.ieee.org/document/10583858
  9. J. Liu, J. Mu, H. Sun, C. Dai, Z. Ji, I. Ganchev. 2024. “BFG&MSF-Net: Boundary Feature Guidance and Multi-Scale Fusion Network for Thyroid Nodule Segmentation”. IEEE Access, Vol. 12, May, Pp. 78701-78713. (e)ISSN: 2169-3536. DOI: 10.1109/ACCESS.2024.3407795.
    WoS, IF2023=3.4 / Q2; Scopus, SJR2023=0.960 / Q1
    https://ieeexplore.ieee.org/document/10543017
  10. Z. Ji, J. Liu, J. Mu, H. Zhang, C. Dai, N. Yuan, I. Ganchev. 2024. “ResDAC-Net: A Novel Pancreas Segmentation Model Utilizing Residual Double Asymmetric Spatial Kernels”. Medical & Biological Engineering & Computing, Springer. March, Pp. x1-x14. ISSN: 0140-0118. eISSN: 1741-0444. DOI: 10.1007/s11517-024-03052-9.
    WoS, IF2023=2.6 / Q2; Scopus, SJR2023=0.641 / Q2
    https://link.springer.com/article/10.1007/s11517-024-03052-9
  11. Z. Ji, H. Sun, N. Yuan, H. Zhang, J. Sheng, X. Zhang, I. Ganchev. 2024. “BGRD-TransUNet: A Novel TransUNet-based Model for Ultrasound Breast Lesion Segmentation”. IEEE Access, Vol. 12, February, Pp. 31182-31196. (e)ISSN: 2169-3536. DOI: 0.1109/ACCESS.2024.3368170.
    WoS, IF2023=3.4 / Q2; Scopus, SJR2023=0.960 / Q1
    https://ieeexplore.ieee.org/document/10442999
  12. Z. Ji, J. Mu, J. Liu, H. Zhang, C. Dai, X. Zhang, I. Ganchev. 2024. “ASD-Net: A novel U-Net based asymmetric spatial-channel convolution network for precise kidney and kidney tumor image segmentation”. Medical & Biological Engineering & Computing, Springer. February, Pp. x1-x15. ISSN: 0140-0118. eISSN: 1741-0444. DOI: 10.1007/s11517-024-03025-y.
    WoS, IF2023=2.6 / Q2; Scopus, SJR2023=0.641 / Q2
    https://link.springer.com/article/10.1007/s11517-024-03025-y
  13. S. Hao, L. Zhang, Y. Jiang, J. Wang, Z. Ji, L. Zhao, I. Ganchev. 2023. “ConvNeXt-ST-AFF: A Novel Skin Disease Classification Model Based on Fusion of ConvNeXt and Swin Transformer”. IEEE Access, Vol. 11, October, Pp. 117460-117473. (e)ISSN: 2169-3536. DOI: 10.1109/ACCESS.2023.3324042.
    WoS, IF=3.4 / Q2; Scopus, SJR=0.960 / Q1
    https://ieeexplore.ieee.org/document/10283846
  14. S. Hao, H. Wu, Y. Jiang, Z. Ji, L. Zhao, L. Liu, I. Ganchev. 2023. “GSCEU-Net: An End-to-End Lightweight Skin Lesion Segmentation Model with Feature Fusion Based on U-Net Enhancements”. Information, Vol. 14, No. 9: 486, September, Pp. 1-18. (e)ISSN: 2078-2489. DOI: 10.3390/info14090486.
    WoS, IF=2.4 / Q3; Scopus, SJR=0.703 / Q2
    https://www.mdpi.com/2078-2489/14/9/486
  15. Z. Ji, Z. Zhao, X. Zeng, J. Wang, L. Zhao, X. Zhang, I. Ganchev. 2023. “ResDSda_U-Net: A novel U-Net based residual network for segmentation of pulmonary nodules in lung CT images”. IEEE Access, Vol. 11, August, Pp. 87775-87789. (e)ISSN: 2169-3536. DOI: 10.1109/ACCESS.2023.3305270.
    WoS, IF=3.4 / Q2; Scopus, SJR=0.960 / Q1
    https://ieeexplore.ieee.org/document/10216982
  16. S. Hao, H. Wu, C. Du, X. Zeng, Z. Ji, X. Zhang, I. Ganchev. 2023. “CACDU-Net: A novel DoubleU-Net based semantic segmentation model for skin lesions detection in images”. IEEE Access, Vol. 11, August, Pp. 82449-82463. (e)ISSN: 2169-3536. DOI: 10.1109/ACCESS.2023.3300895.
    WoS, IF=3.4 / Q2; Scopus, SJR=0.960 / Q1
    https://ieeexplore.ieee.org/document/10198429
  17. Z. Ji, Y. Wu, X. Zeng, Y. An, L. Zhao, Z. Wang, I. Ganchev. 2023. “Lung Nodule Detection in Medical Images Based on Improved YOLOv5s”. IEEE Access, Vol. 11, July, Pp. 76371-76387. (e)ISSN: 2169-3536. DOI: 10.1109/ACCESS.2023.3296530.
    WoS, IF=3.4 / Q2; Scopus, SJR=0.960 / Q1
    https://ieeexplore.ieee.org/document/10185440
  18. Z. Ji, D. Yao, R. Chen, T. Lyu, Q. Liao, L. Zhao, I. Ganchev. 2023. “U-Net_dc: A novel U-Net-based model for endometrial cancer cell image segmentation”. Information, Vol. 14, No. 7: 366, June, Pp. 1-19. (e)ISSN: 2078-2489. DOI: 10.3390/info14070366.
    WoS, IF=2.4 / Q3; Scopus, SJR=0.703 / Q2
    https://www.mdpi.com/2078-2489/14/7/366
  19. Z. Ji, J. Zhao, J. Liu, X. Zeng, H. Zhang, X. Zhang, I. Ganchev. 2023. “ELCT-YOLO: An Efficient One-Stage Model for Automatic Lung Tumor Detection based on CT Images”. Mathematics, Vol. 11, No. 10: 2344, May, Pp. 1-22. (e)ISSN: 2227-7390. DOI: 10.3390/math11102344.
    WoS, IF=2.3 / Q1 (top 5%); Scopus, SJR=0.475 / Q2
    https://www.mdpi.com/2227-7390/11/10/2344
  20. S. Hao, H. Xu, H. Ji, Z. Wang, L. Zhao, Z. Ji, I. Ganchev. 2023. “G2-ResNeXt: A Novel Model for ECG Signal Classification”. IEEE Access, Vol. 11, April, Pp. 34808-34820. (e)ISSN: 2169-3536. DOI: 10.1109/ACCESS.2023.3265305.
    WoS, IF=3.4 / Q2; Scopus, SJR=0.960 / Q1
    https://ieeexplore.ieee.org/document/10093803
  21. I. Ganchev, Z. Ji, M. O'Droma. 2023. “Horizontal IoT Platform EMULSION”. Electronics 2023, 12(8), 1864, Pp. 1-21. April. MDPI. (e)ISSN: 2079-9292. DOI: 10.3390/electronics12081864.
    WoS, IF=2.6 / Q2; Scopus, SJR=0.644 / Q2
    https://www.mdpi.com/2079-9292/12/8/1864
  22. 1 S.G. Gocheva-Ilieva, A.V. Ivanov, H.N. Kulina, M.P. Stoimenova-Minova. 2023. “Multi-Step Ahead Ex-Ante Forecasting of Air Pollutants Using Machine Learning”. Mathematics, Vol. 11, Issue 7, Article No. 1566. MDPI. eISSN: 2227-7390. DOI: 10.3390/math11071566
    WoS, IF=2.3 / Q1 (top 5%); Scopus, SJR=0.475 / Q2
    https://www.mdpi.com/2227-7390/11/7/1566
  23. I. Ganchev and M. O'Droma. 2023. “Outsourcing Authentication, Authorization and Accounting, and Charging and Billing Services to Trusted Third Parties for Future Consumer-Oriented Wireless Communications”. Electronics 2023, 12(3), 558, Pp. 1-27. January. MDPI. (e)ISSN: 2079-9292. DOI: 10.3390/electronics12030558.
    WoS, IF=2.6 / Q2 ; Scopus, SJR=0.644 / Q2
    https://www.mdpi.com/2079-9292/12/3/558


    1 Приносът на проекта за тази публикация през етап 2 се оценява на 75%, отчитайки съотношението на авторите – членове на колектива на проекта (3 бр.) към общия брой автори (4 бр.), тъй като в статията има изказана благодарност и към друг (български) проект на ФНИ с № KP-06-N52/9.