Citations Report

Global Journal of Technology and Optimization : Citations & Metrics Report

Articles published in Global Journal of Technology and Optimization have been cited by esteemed scholars and scientists all around the world.

Global Journal of Technology and Optimization has got h-index 12, which means every article in Global Journal of Technology and Optimization has got 12 average citations.

Following are the list of articles that have cited the articles published in Global Journal of Technology and Optimization.

	2022	2021	2020	2019	2018
Year wise published articles	46	43	2	1	9
Year wise citations received	69	80	70	89	106

Journal total citations count	664
Journal impact factor	1.5
Journal 5 years impact factor	2.48
Journal cite score	1.95
Journal h-index	12
Journal h-index since 2018	10

Important citations

Kelly T, Beharry A, Fedoruk M. Applying Machine Learning Techniques to Advance Anti-Doping. European Journal of Sports & Exercise Science. 2019;7(2):1-9. View at Publisher View at Google Scholar View at Indexing
Akayd?n Ö, Ulukök MK. Hisham Al Majzoub, Islam Elgedawy. View at Publisher View at Google Scholar View at Indexing
Laveti RN, Mane AA, Pal SN. Dynamic Stacked Ensemble with Entropy based Undersampling for the Detection of Fraudulent Transactions. In2021 6th International Conference for Convergence in Technology (I2CT) 2021 Apr 2 (pp. 1-7). IEEE. View at Publisher View at Google Scholar View at Indexing
Mduma N. Data driven approach for predicting student dropout in secondary schools (Doctoral dissertation, NM-AIST). View at Publisher View at Google Scholar View at Indexing
Tewari S, Dwivedi UD, Biswas S. A Novel Application of Ensemble Methods with Data Resampling Techniques for Drill Bit Selection in the Oil and Gas Industry. Energies 2021, 14, 432. View at Publisher View at Google Scholar View at Indexing
Yuan Y. Using large-scale electronic health record data to predict delirium in ICU units: An evidence-based machine learning approach (Doctoral dissertation, Department of Computer and Systems Sciences, Stockholm University). View at Publisher View at Google Scholar View at Indexing
Jiang H, Wei Z, Chen J. A Novel Pre-processing Method for Classification Problems in Medical Intelligent Tasks. In2021 IEEE International Conference on Digital Health (ICDH) 2021 Sep 1 (pp. 178-183). IEEE Computer Society. View at Publisher View at Google Scholar View at Indexing
Nagarajan V. A critical analysis of Sampling Techniques for imbalanced data classification: An application to Social Media (Doctoral dissertation, Dublin, National College of Ireland). View at Publisher View at Google Scholar View at Indexing
Gillani SF. An Effective Undersampling Approach to Deal with Class Imbalance Problem in Software Defect Prediction (Doctoral dissertation, CAPITAL UNIVERSITY). View at Publisher View at Google Scholar View at Indexing
Rupapara V, Rustam F, Shahzad HF, Mehmood A, Ashraf I, Choi GS. Impact of SMOTE on Imbalanced Text Features for Toxic Comments Classification using RVVC Model. IEEE Access. 2021 May 25. View at Publisher View at Google Scholar View at Indexing
Kolísko J. Bankruptcy prediction models in the Czech economy: New specification using Bayesian model averaging and logistic regression on the latest data. View at Publisher View at Google Scholar View at Indexing
Haddad BM. BagStack Classification for Data Imbalance Problems with Application to Defect Detection and Labeling in Semiconductor Units (Doctoral dissertation, Arizona State University). View at Publisher View at Google Scholar View at Indexing
Grzyb J, Klikowski J, Wo?niak M. Hellinger Distance Weighted Ensemble for imbalanced data stream classification. Journal of Computational Science. 2021 Apr 1;51:101314. View at Publisher View at Google Scholar View at Indexing
Bani-Hani D. A Recursive General Regression Neural Network Oracle Through Applying a Polybrid of Machine Learning Algorithms (Doctoral dissertation, State University of New York at Binghamton). View at Publisher View at Google Scholar View at Indexing
Çürüko?lu N. Imbalanced Dataset Problem in Classification Algorithms. In2019 1st International Informatics and Software Engineering Conference (UBMYK) 2019 Nov 6 (pp. 1-5). IEEE. View at Publisher View at Google Scholar View at Indexing
Zheng H, Sherazi SW, Lee JY. A Stacking Ensemble Prediction Model for the Occurrences of Major Adverse Cardiovascular Events in Patients With Acute Coronary Syndrome on Imbalanced Data. IEEE Access. 2021 Jul 26;9:113692-704. View at Publisher View at Google Scholar View at Indexing
Krajnc D, Papp L, Nakuz TS, Magometschnigg HF, Grahovac M, Spielvogel CP, Ecsedi B, Bago-Horvath Z, Haug A, Karanikas G, Beyer T. Breast Tumor Characterization Using [18F] FDG-PET/CT Imaging Combined with Data Preprocessing and Radiomics. Cancers. 2021 Jan;13(6):1249. View at Publisher View at Google Scholar View at Indexing
Hasib KM, Iqbal M, Shah FM, Mahmud JA, Popel MH, Showrov M, Hossain I, Ahmed S, Rahman O. A survey of methods for managing the classification and solution of data imbalance problem. arXiv preprint arXiv:2012.11870. 2020 Dec 22. View at Publisher View at Google Scholar View at Indexing
Adedoyin A. Predicting Fraud in Mobile Money Transfer (Doctoral dissertation, University of Brighton). View at Publisher View at Google Scholar View at Indexing
Aigner A. Falke-mc: A neural network based approach to locate cryptographic functions in machine code. InProceedings of the 13th International Conference on Availability, Reliability and Security 2018 Aug 27 (pp. 1-8). View at Publisher View at Google Scholar View at Indexing
Prev 1 2 3 4 5 6 7 8 9 10 11 12 13 ... 19 20 Next »

Awards & Nominations

50+ Million Readerbase

Journal Highlights

Google Scholar citation report

Citations: 664

Global Journal of Technology and Optimization received 664 citations as per Google Scholar report

Global Journal of Technology and Optimization

Citations Report

Global Journal of Technology and Optimization : Citations & Metrics Report

Important citations

Kelly T, Beharry A, Fedoruk M. Applying Machine Learning Techniques to Advance Anti-Doping. European Journal of Sports & Exercise Science. 2019;7(2):1-9.

Akayd?n Ö, Ulukök MK. Hisham Al Majzoub, Islam Elgedawy.

Laveti RN, Mane AA, Pal SN. Dynamic Stacked Ensemble with Entropy based Undersampling for the Detection of Fraudulent Transactions. In2021 6th International Conference for Convergence in Technology (I2CT) 2021 Apr 2 (pp. 1-7). IEEE.

Mduma N. Data driven approach for predicting student dropout in secondary schools (Doctoral dissertation, NM-AIST).

Tewari S, Dwivedi UD, Biswas S. A Novel Application of Ensemble Methods with Data Resampling Techniques for Drill Bit Selection in the Oil and Gas Industry. Energies 2021, 14, 432.

Yuan Y. Using large-scale electronic health record data to predict delirium in ICU units: An evidence-based machine learning approach (Doctoral dissertation, Department of Computer and Systems Sciences, Stockholm University).

Jiang H, Wei Z, Chen J. A Novel Pre-processing Method for Classification Problems in Medical Intelligent Tasks. In2021 IEEE International Conference on Digital Health (ICDH) 2021 Sep 1 (pp. 178-183). IEEE Computer Society.

Nagarajan V. A critical analysis of Sampling Techniques for imbalanced data classification: An application to Social Media (Doctoral dissertation, Dublin, National College of Ireland).

Gillani SF. An Effective Undersampling Approach to Deal with Class Imbalance Problem in Software Defect Prediction (Doctoral dissertation, CAPITAL UNIVERSITY).

Rupapara V, Rustam F, Shahzad HF, Mehmood A, Ashraf I, Choi GS. Impact of SMOTE on Imbalanced Text Features for Toxic Comments Classification using RVVC Model. IEEE Access. 2021 May 25.

Kolísko J. Bankruptcy prediction models in the Czech economy: New specification using Bayesian model averaging and logistic regression on the latest data.

Haddad BM. BagStack Classification for Data Imbalance Problems with Application to Defect Detection and Labeling in Semiconductor Units (Doctoral dissertation, Arizona State University).

Grzyb J, Klikowski J, Wo?niak M. Hellinger Distance Weighted Ensemble for imbalanced data stream classification. Journal of Computational Science. 2021 Apr 1;51:101314.

Bani-Hani D. A Recursive General Regression Neural Network Oracle Through Applying a Polybrid of Machine Learning Algorithms (Doctoral dissertation, State University of New York at Binghamton).

Çürüko?lu N. Imbalanced Dataset Problem in Classification Algorithms. In2019 1st International Informatics and Software Engineering Conference (UBMYK) 2019 Nov 6 (pp. 1-5). IEEE.

Zheng H, Sherazi SW, Lee JY. A Stacking Ensemble Prediction Model for the Occurrences of Major Adverse Cardiovascular Events in Patients With Acute Coronary Syndrome on Imbalanced Data. IEEE Access. 2021 Jul 26;9:113692-704.

Krajnc D, Papp L, Nakuz TS, Magometschnigg HF, Grahovac M, Spielvogel CP, Ecsedi B, Bago-Horvath Z, Haug A, Karanikas G, Beyer T. Breast Tumor Characterization Using [18F] FDG-PET/CT Imaging Combined with Data Preprocessing and Radiomics. Cancers. 2021 Jan;13(6):1249.

Hasib KM, Iqbal M, Shah FM, Mahmud JA, Popel MH, Showrov M, Hossain I, Ahmed S, Rahman O. A survey of methods for managing the classification and solution of data imbalance problem. arXiv preprint arXiv:2012.11870. 2020 Dec 22.

Adedoyin A. Predicting Fraud in Mobile Money Transfer (Doctoral dissertation, University of Brighton).

Aigner A. Falke-mc: A neural network based approach to locate cryptographic functions in machine code. InProceedings of the 13th International Conference on Availability, Reliability and Security 2018 Aug 27 (pp. 1-8).

Awards & Nominations

50+ Million Readerbase

Journal Highlights

Google Scholar citation report

Citations: 664

Global Journal of Technology and Optimization peer review process verified at publons

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