Most-cited papers on Deep Learning Model Evaluation

Ranked by citation count via OpenAlex. Citations update on a rolling basis; list regenerates every 24h.

1. Development and evaluation of a deep learning model for protein–ligand binding affinity prediction

   2018 · Bioinformatics · Stepniewska-Dziubinska, Marta M., Zielenkiewicz, Piotr, Siedlecki, Paweł

   697 cited

2. Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation

   2019 · Radiology · Majkowska, Anna, Mittal, Sid, Steiner, David F. et al.

   283 cited

3. Evaluation of Deep Learning Models for Multi-Step Ahead Time Series Prediction

   2021 · IEEE Access · Chandra, Rohitash, Goyal, Shaurya, Gupta, Rishabh

   234 cited

4. A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique

   2020 · Applied Soft Computing · Shen, Feng, Zhao, Xingchao, Kou, Gang et al.

   221 cited

5. Modeling air quality prediction using a deep learning approach: Method optimization and evaluation

   2020 · Sustainable Cities and Society · Mao, Wenjing, Wang, Weilin, Jiao, Limin et al.

   200 cited

6. Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse

   2021 · Sensors · Magalhães, Sandro Augusto, Castro, Luís Miguel Garcia de, Moreira, Germano et al.

   176 cited

7. Interpretability and fairness evaluation of deep learning models on MIMIC-IV dataset

   2022 · Scientific Reports · Meng, Chuizheng, Trinh, Loc, Xu, Nan et al.

   168 cited

8. Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility

   2021 · Journal of Environmental Management · Chen, Wei, Lei, Xinxiang, Chakrabortty, Rabin et al.

   159 cited

9. Evaluation of Deep Learning CNN Model for Recognition of Devanagari Digit

   2023 · Artificial Intelligence and Applications · Bhosle, Kavita, Musande, Vijaya

   159 cited

10. Evaluation of Deep Learning Models for Identifying Surgical Actions and Measuring Performance

    2020 · JAMA Network Open · Khalid, Shuja, Goldenberg, Mitchell G., Grantcharov, Teodor et al.

    151 cited

11. Optimal model evaluation of the proton-exchange membrane fuel cells based on deep learning and modified African Vulture Optimization Algorithm

    2022 · Energy Sources Part A Recovery Utilization and Environmental Effects · Zhang, Jiali, Khayatnezhad, Majid, Ghadimi, Noradin

    151 cited

12. Evaluation of Deep Learning CNN Model for Land Use Land Cover Classification and Crop Identification Using Hyperspectral Remote Sensing Images

    2019 · Journal of the Indian Society of Remote Sensing · Bhosle, Kavita, Musande, Vijaya

    146 cited

13. Evaluation of Three Deep Learning Models for Early Crop Classification Using Sentinel-1A Imagery Time Series—A Case Study in Zhanjiang, China

    2019 · Remote Sensing · Zhao, Hongwei, Chen, Zhongxin, Jiang, Hao et al.

    135 cited

14. A deep learning‐based prediction model for gamma evaluation in patient‐specific quality assurance

    2018 · Medical Physics · Tomori, Seiji, Kadoya, Noriyuki, Takayama, Yoshiki et al.

    126 cited

15. Diagnostic evaluation of a deep learning model for optical diagnosis of colorectal cancer

    2020 · Nature Communications · Zhou, Dejun, Tian, Fei, Tian, Xiangdong et al.

    120 cited

16. Review of Statistical Methods for Evaluating the Performance of Survival or Other Time-to-Event Prediction Models (from Conventional to Deep Learning Approaches)

    2021 · Korean Journal of Radiology · Park, Seo Young, Park, Ji Eun, Kim, Hyungjin et al.

    119 cited

17. Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs

    2018 · Shi, Shaohuai, Wang, Qiang, Chu, Xiaowen

    116 cited

18. Evaluation of Groundwater Quality for Irrigation in Deep Aquifers Using Multiple Graphical and Indexing Approaches Supported with Machine Learning Models and GIS Techniques, Souf Valley, Algeria

    2023 · Water · Eid, Mohamed Hamdy, Elbagory, Mohssen, Tamma, Ahmed A. et al.

    111 cited

19. Ore image classification based on small deep learning model: Evaluation and optimization of model depth, model structure and data size

    2021 · Minerals Engineering · Liu, Yang, Zhang, Zelin, Liu, Xiang et al.

    107 cited

20. Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models

    2023 · Computers & Industrial Engineering · Zipfel, Justus, Verworner, Felix, Fischer, Marco et al.

    106 cited

21. Evaluation of a deep-learning model for multispectral remote sensing of land use and crop classification

    2022 · The Crop Journal · Wang, Lijun, Wang, Jiayao, Liu, Zhenzhen et al.

    106 cited

22. Deep learning models for bridge deck evaluation using impact echo

    2020 · Construction and Building Materials · Dorafshan, Sattar, Azari, Hoda

    96 cited

23. A multi-scene deep learning model for image aesthetic evaluation

    2016 · Signal Processing Image Communication · Wang, Ning, Zhao, Mingquan, Wang, Li et al.

    93 cited

24. Evaluating the Accuracy of Breast Cancer and Molecular Subtype Diagnosis by Ultrasound Image Deep Learning Model

    2021 · Frontiers in Oncology · Zhang, Xianyu, Li, Hui, Wang, Chaoyun et al.

    89 cited

25. Comparing deep learning models for low-light natural scene image enhancement and their impact on object detection and classification: Overview, empirical evaluation, and challenges

    2022 · Signal Processing Image Communication · Sobbahi, Rayan Al, Tekli, Joe

    89 cited

26. A new and reliable dual model- and data-driven TOC prediction concept: A TOC logging evaluation method using multiple overlapping methods integrated with semi-supervised deep learning

    2020 · Journal of Petroleum Science and Engineering · Zhu, Linqi, Zhang, Chong, Zhang, Chong et al.

    88 cited

27. Evaluating Machine Learning and Deep Learning models for predicting Wind Turbine power output from environmental factors

    2025 · PLoS ONE · Abdelsattar, Montaser, Ismeil, Mohamed A., Menoufi, Karim et al.

    82 cited

28. A deep learning model for innovative evaluation of ideological and political learning

    2021 · Progress in Artificial Intelligence · Zhang, Baojing, Velmayil, Vinothraj, Sivakumar, V.

    81 cited

29. A Steel Surface Defect Recognition Algorithm Based on Improved Deep Learning Network Model Using Feature Visualization and Quality Evaluation

    2020 · IEEE Access · Guan, Shengqi, Lei, Ming, Lü, Hao

    75 cited

30. Deep Learning-Based Disease Detection in Sugarcane Leaves: Evaluating EfficientNet Models

    2024 · Journal of Operations Intelligence · KUNDURACIOĞLU, İsmail, Paçal, İshak

    72 cited