[Other]Bibliometric article

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Hello,
I'm writing a bibliometric article and need a total of 74 published papers. Below is the list groupped by publisher.
Anyone can help me with that? I'm willing to donate in order to express gratitude for the effort you will spend on that. Thank you very much.
IEEE (Xplore) — 54

id13 (2022) Yu S.; Song C.; Gao P.; Zheng H. Intelligent electricity consumption forecasting and electricity-theft analysis method based on deep learning https://doi.org/10.1109/EIECT58010.2022.00068
id14 (2022) Berghout T.; Benbouzid M.; Ferrag M.A. Deep Learning with Recurrent Expansion for Electricity Theft Detection in Smart Grids https://doi.org/10.1109/IECON49645.2022.9968378
id21 (2023) Farid S.; Iltaf N.; Afzal H. Electricity Theft Detection Via Deep Learning https://doi.org/10.1109/ComTech57708.2023.10164983
id34 (2024) Zhao Z.; Liu G.; Liu Y. Practical Privacy-Preserving Electricity Theft Detection for Smart Grid https://doi.org/10.1109/TSG.2023.3349280
id41 (2023) Zhu Y.; Zhang Y.; Liu L.; Liu Y.; Li ... Hybrid-Order Representation Learning for Electricity Theft Detection https://doi.org/10.1109/TII.2022.3179243
id50 (2025) Ma Y.; Shao F.; Sun G.; Sun L.; Xu M. Siamese NETS: A Novel Dynamic Siamese Networks for Intelligent Meter Data Detection in Smart Meter Environment https://doi.org/10.1109/ICICNCT66124.2025.11233153
id51 (2023) Abdellatif A.A.; Amer A.; Shaban K.; ... A Novel Multivariate and Accurate Detection Scheme for Electricity Theft Attacks in Smart Grids https://doi.org/10.1109/ICNC57223.2023.10074440
id54 (2024) Tarun Raaj R.; Rehalya Shree S.; Vija... Streamlining Energy Consumption with IoT https://doi.org/10.1109/IDCIoT59759.2024.10467411
id55 (2023) Xu P. Electricity Theft Detection Based on Federated Learning https://doi.org/10.1109/IAECST60924.2023.10502534
id65 (2025) Bashir S.B.; Farag M.M.; Hamid A.-K.;... Detecting Electricity Theft in Smart Grids: A Hybrid CNN-RF Approach https://doi.org/10.1109/REEPE63962.2025.10970906
id66 (2025) Bunagan J.M.; Santos R.C.; Borja K.; ... Optimizing System Loss through Data-Driven Inspection Deployment: A Cluster-Level Electricity Theft Analysis Approach https://doi.org/10.1109/CEPSI66359.2025.11403857
id73 (2025) De Rezende J.A.M.; Gomes O.D.S.M. Identifying Latent Energy Consumption Behaviors in the State Grid Corporation of China Dataset https://doi.org/10.1109/ICMLCA66850.2025.11336552
id90 (2025) Kucuk M.; Coskun H.; Biricik M.; Bulb... Customer-Level Aggregation: The Imperative for Reliable Non-Technical Loss Detection Amidst Row-Level Analysis Pitfalls https://doi.org/10.1109/UPEC65436.2025.11279878
id96 (2025) Tang Z.; Yuan M.; He S.; Xiao Y. Research on Abnormal Discrimination of Three-Phase Four-Wire Connection Based on Improved Machine Learning Models https://doi.org/10.1109/ICIPCA65645.2025.11138274
id106 (2025) Hu S.; Dou J.; Liu Y.; Zhang Y.; Shan... Abnormal Power Consumption Behaviour Detection System for Power Users Based on Deep Learning https://doi.org/10.1109/CICN67655.2025.11367871
id127 (2022) Abdulaal M.J.; Ibrahem M.I.; Mahmoud ... DRFD: Deep Learning-Based Real-time and Fast Detection of False Readings in AMI https://doi.org/10.1109/SoutheastCon48659.2022.9763963
id134 (2025) Castillo N.N.D.J.; Pasiliao Z.D.; Tio... XGBoost-Based Detection and Localization of Electricity Pilferage in Low-Voltage Distribution Networks with Rooftop PV and Net-Metering https://doi.org/10.1109/ETFG61999.2025.11400891
id187 (2024) Meng C.; Lyu F.; Gao J.; Liu T.; Ma J... FL2ETD: A Few-Shot Learning Framework to Electricity Theft Detection https://doi.org/10.1109/ICC51166.2024.10622377
id198 (2025) Akashpalaniappa A.; Roopa S.N. AI-Enhanced Predictive Analytics for Fraud Detection in Smart Grid Systems https://doi.org/10.1109/ICAECA63854.2025.11012186
id200 (2024) Brindha S.; Dev Anand R.E.; Dhanush A... Smart Grid Integrity Monitoring System powered by Edge Computing https://doi.org/10.1109/ICPECTS62210.2024.10780332
id217 (2024) Liao W.; Takiddin A.; Tariq M.; Chen ... Sample Adaptive Transfer for Electricity Theft Detection With Distribution Shifts https://doi.org/10.1109/TPWRS.2024.3375939
id219 (2025) Khan I.U.; Ali A.; Taylor C.J.; Ma X. Data-Driven Insights: Boosting Algorithms to Uncover Electricity Theft Patterns in AMI https://doi.org/10.1109/TIM.2025.3557097
id224 (2025) Upadhyaya B.; Javaid A.Y.; Sun W.; Kh... Anomaly Detection in Distribution Power Grids Using Recurrent Neural Networks: A Digital Twin Simulation Approach https://doi.org/10.1109/IEMCON67450.2025.11381088
id229 (2025) Tambun R.; Priyadi A.; Lystianingrum V. Anomaly Detection of Non-Technical Losses in Smart Meter Data Using K-Means Clustering and Isolation Forest: A Case Study From Indonesia https://doi.org/10.1109/ISITIA66279.2025.11137434
id248 (2025) Teja P.S.; Kumar P.P.; Sankari M. Advanced Fraud Detection in Smart Grids Using Deep Neural Networks https://doi.org/10.1109/AREEV64307.2025.10925179
id267 (2025) Seepromting K.; Rajitroj N.; Michel J... Strategic Smart Meter Deployment in Power Distribution: Leveraging Machine Learning and Economic Evaluation for Non-Technical Loss Reduction https://doi.org/10.1109/UPEC65436.2025.11279864
id280 (2023) Wang J.; Zhang X. Electricity Theft Detection Based on SMOTE Oversampling and Logistic Regression Classifier https://doi.org/10.1109/CIEEC58067.2023.10165777
id306 (2025) Gugiuman A.A.; Neagu B.-C.; Grigoras G. Explainable Detection of Non-Technical Losses in Smart Grids Using a Deterministic Profiling Framework https://doi.org/10.1109/FES65767.2025.11341806
id307 (2023) Janthong S.; Chalermyanont K.; Duangs... Comparison of Feature Extraction Methods for Classifying Energy Theft and Defective Meters in Automatic Meter Reading https://doi.org/10.1109/iEECON56657.2023.10127065
id311 (2025) Arla D.; Choiruddin A. Machine Learning-based Electricity Theft Detection Considering Customer Consumption Pattern and Geographical Condition https://doi.org/10.1109/ICoDSA67155.2025.11157579
id315 (2025) Kumar M.P.; Ashwini L.K.; Srikanth R.... Blockchain-Assisted Artificial Intelligence Framework for Energy Theft Detection in Smart Grids https://doi.org/10.1109/ICAICCIT68829.2025.11434010
id320 (2025) Ezaldine M.; Ali A.; Shaaban M.F.; Ma... Electricity Theft Detection via Self-Optimizing Hybrid Deep Learning https://doi.org/10.1109/MEPCON66918.2026.11360247
id323 (2022) Xia X.; Lin J.; Xiao Y.; Cui J.; Peng... A Control-Chart-Based Detector for Small-Amount Electricity Theft (SET) Attack in Smart Grids https://doi.org/10.1109/JIOT.2021.3113348
id342 (2025) Yang H.; Lian C.; Xu B.; Ding R.; Zha... Self-Supervised Latent Feature-Guided Multi-Step Diffusion Model for Electricity Theft Detection With Imbalanced and Missing Data https://doi.org/10.1109/TSG.2025.3546219
id350 (2025) Wang F.; Yang D.; Xie B. Electricity Theft Detection Based on Supervised Sample Generation and Residual Network https://doi.org/10.1109/ETFG61999.2025.11402000
id352 (2023) Maala R.M.P.; Rebamba A.M.B.; Tio A.E... Classification-Based Electricity Theft Detection on Households with Photovoltaic Generation and Net Metering https://doi.org/10.1109/TENCON58879.2023.10322383
id365 (2025) Pérez Méndez A.L.; Monteagudo Gordill... Artificial Intelligence Methods for Anomaly Detection in Energy Consumption https://doi.org/10.1109/MSWiM67937.2025.11308730
id384 (2023) Markovska M.; Gerazov B.; Zlatkova A.... Electricity Theft Detection Based on Temporal Convolutional Networks with Self-Attention https://doi.org/10.1109/IWSSIP58668.2023.10180294
id428 (2023) Liao W.; Yang Z.; Bak-Jensen B.; Pill... Simple Data Augmentation Tricks for Boosting Performance on Electricity Theft Detection Tasks https://doi.org/10.1109/TIA.2023.3262232
id439 (2022) Cui L.; Guo L.; Gao L.; Cai B.; Qu Y.... A Covert Electricity-Theft Cyberattack Against Machine Learning-Based Detection Models https://doi.org/10.1109/TII.2021.3089976
id465 (2025) Do P.; Nguyen D.-P.; Nguyen V.-H.; Ca... Sampling-Based Imbalance Handling for Ensemble Models in Electricity Payment Fraud Detection https://doi.org/10.1109/RIVF68649.2025.11365192
id467 (2025) Aberbach A.; Baza M.; Badr M.M.; Rash... Efficient and Adversarially Robust Electricity Theft Detection Approach https://doi.org/10.1109/FMEC65595.2025.11119354
id470 (2025) Sharma A.; Kansal G.; Tiwari R.; Lamb... Anomaly Detection in Domain of Renewable Energy Resources https://doi.org/10.1109/SEFET65155.2025.11255601
id480 (2024) Zhu L.; Wen W.; Li J.; Zhang C.; Zhou... Deep Active Learning-Enabled Cost-Effective Electricity Theft Detection in Smart Grids https://doi.org/10.1109/TII.2023.3249212
id489 (2024) Swetha S.; al-Hussein R.K.A.; Alanssa... Power Theft Identification System using IOT https://doi.org/10.1109/ARIIA63345.2024.11051481
id495 (2023) Berghout T.; Benbouzid M.; Ferrag M.A. Multiverse Recurrent Expansion With Multiple Repeats: A Representation Learning Algorithm for Electricity Theft Detection in Smart Grids https://doi.org/10.1109/TSG.2023.3250521
id498 (2025) Chen D.; Li F.; Li F.; Chen J.; Zeng ... Improved Extremely Random Tree Based Low Voltage User Electricity Theft and Breach of Contract Identification Technology https://doi.org/10.1109/ISAEECE66033.2025.11160231
id545 (2020) Buzau M.-M.; Tejedor-Aguilera J.; Cru... Hybrid Deep Neural Networks for Detection of Non-Technical Losses in Electricity Smart Meters https://doi.org/10.1109/TPWRS.2019.2943115
id731 (2024) A. Kumar; M. Kumawat; P. Sinha Comprehensive Analysis of Cost-Effective Data-Driven Approaches for Electricity Theft Detection https://doi.org/10.1109/PIICON63519.2024.10995142
id737 (2025) K. R; J. S; S. K. C.K; H. S; N. M A Hybrid Machine Learning Approach for Electricity Theft Detection and Demand Prediction https://doi.org/10.1109/ICIRCA65293.2025.11089641
id770 (2023) R. Xie An Energy Theft Detection Framework with Privacy Protection for Smart Grid https://doi.org/10.1109/IJCNN54540.2023.10191166
id771 (2024) H. Wang; Y. Zhao; Y. Teng; X. Liu Detection Method for Load Stealing Behavior in Distribution Networks Based on Time Series and Abnormal Characteristics of Regional Electricity Consumption https://doi.org/10.1109/ECIE61885.2024.10627728
id775 (2024) A. Aryan; M. Singh; N. Labhade-Kumar;... Experimental Design of Electricity Theft Detection and Alert System using Arduino Assisted Controller and Smart Sensors https://doi.org/10.1109/ICICT60155.2024.10544703
id820 (2025) H. Mahmoud; H. Mahmoud A Comparative Analysis of Federated and Distributed Theft Detection System in Smart Grids https://doi.org/10.1109/ICEENG64546.2025.11031264

Springer — 7

id44 (2024) Sinha A.; Kaushik A.; Vyas R.; Vyas O... A Lightweight Intrusion Detection and Electricity Theft Detection System for Smart Grid https://doi.org/10.1007/978-981-99-5091-1_5
id157 (2024) Solanki K.; Ali S. An Electricity Theft Cyber-Attacks’ Detection System for Future IoT-Based Smart Electric Meters in Renewable Distributed Generation https://doi.org/10.1007/978-981-99-9486-1_16
id185 (2025) Ravinder M.; Kulkarni V. Smart Grid Anomaly Detection Using MFDA and Dilated GRU-based Neural Networks https://doi.org/10.1007/s40866-024-00216-2
id192 (2022) Jain H.; Kumar M.; Joshi A.M. Intelligent energy cyber physical systems (iECPS) for reliable smart grid against energy theft and false data injection https://doi.org/10.1007/s00202-021-01380-9
id212 (2023) Zhengyi X.; Jianping Y.; Yunhua L. Electricity Anomaly Detection Research of Flue-Cured Tobacco Users Considering the Characteristics of Industry Electricity Consumption Behavior https://doi.org/10.1007/978-3-031-31733-0_18
id232 (2022) Hu L.; Su C.; Tian C.; Meng X. Evaluation Model of Intelligent Anti-electric Theft Management https://doi.org/10.1007/978-981-16-7469-3_11
id434 (2022) Banga A.; Ahuja R.; Sharma S.C. Accurate Detection of Electricity Theft Using Classification Algorithms and Internet of Things in Smart Grid https://doi.org/10.1007/s13369-021-06313-z

Elsevier (ScienceDirect) — 6

id1 (2025) Chen W.; Li L.; Li J. Multimodal selective state space model-based time series classification for electricity theft detection https://doi.org/10.1016/j.eswa.2025.127364
id46 (2022) Shehzad F.; Javaid N.; Aslam S.; Umar... Electricity theft detection using big data and genetic algorithm in electric power systems https://doi.org/10.1016/j.epsr.2022.107975
id327 (2024) Zhang W.; Dai Y. A multiscale electricity theft detection model based on feature engineering https://doi.org/10.1016/j.bdr.2024.100457
id431 (2023) Cai Q.; Li P.; Wang R. Electricity theft detection based on hybrid random forest and weighted support vector data description https://doi.org/10.1016/j.ijepes.2023.109283
id474 (2023) Fei K.; Li Q.; Ma Z.; Gryazina E.; Te... Non-technical losses detection employing adversarial domain adaptation https://doi.org/10.1016/j.ijepes.2023.109059
id488 (2025) Sleiman M.; Dagli C.; Bo R. Electricity Theft Detection with an Adaptive Deep Learning Architecture https://doi.org/10.1016/j.procs.2025.08.218

Other — 5

id22 (2023) Li J.; Chen J.; Huang K. Multi‑class electricity theft detection based on the CNN‑LSTM hybrid model; [基于 CNN-LSTM 混合模型的多类别窃电行为检测] https://doi.org/10.19781/j.issn.1673-9140.2023.01.026
id264 (2024) Reddy K.B.; Malathi K.; Priya M.V. Power theft detection using random forest algorithm and compared with K-Nn algorithm https://doi.org/10.1063/5.0198770
id266 (2024) LI Y.; GAO Y.; ZHANG P.; YANG Y.; CHE... High-accuracy Detection Algorithm of Electricity Theft Behavior Based on Multi-objective Optimization Time-domain Convolutional Neural Network; [多目标优化时域卷积神经网络的窃电行为高准确检测算法] https://doi.org/10.13335/j.1000-3673.pst.2023.1499
id289 (2025) Yang S.; Cao Q.; Zhang W.; Shi Z.; Zh... Enhancement of electricity theft detection model for electricity metering system using machine learning and Pearson’s correlation coefficient https://doi.org/10.1515/ijeeps-2025-0050
id356 (2023) Zhu Z.; Yu L.; Jiang C.; Xu Y. Discriminant analysis of user stealing electricity behavior based on Levenberg Marquardt neural network model https://doi.org/10.1117/12.2684776

ACM — 1

id130 (2021) Nguyen T.H.T.; Phan Q.B. Electricity theft Detection in Power Grid with a Hybrid Convolutional Neural Network - Support Vector Machine Model https://doi.org/10.1145/3508072.3508078

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