| 1 | 22,385 | 196.3 | DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2017-04-27 | Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos et al. |
| 2 | 19,625 | 166.5 | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2017-01-02 | Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla |
| 3 | 14,276 | 217.9 | How to conduct a bibliometric analysis: An overview and guidelines | Journal of Business Research | 2021-05-14 | Naveen Donthu, Satish Kumar, Debmalya Mukherjee et al. |
| 4 | 13,151 | 149.8 | A survey on Image Data Augmentation for Deep Learning | Journal Of Big Data | 2019-07-06 | Connor Shorten, Taghi M. Khoshgoftaar |
| 5 | 12,153 | 135.2 | Squeeze-and-Excitation Networks | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2019-05-02 | Jie Hu, Li Shen, Samuel Albanie et al. |
| 6 | 11,462 | 131.9 | Literature review as a research methodology: An overview and guidelines | Journal of Business Research | 2019-08-01 | Hannah Snyder |
| 7 | 10,982 | 138.7 | A Comprehensive Survey on Graph Neural Networks | IEEE Transactions on Neural Networks and Learning Systems | 2020-03-24 | Zonghan Wu, Shirui Pan, Fengwen Chen et al. |
| 8 | 10,516 | 117.4 | Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead | Nature Machine Intelligence | 2019-05-13 | Cynthia D Rudin |
| 9 | 10,493 | 128.9 | From local explanations to global understanding with explainable AI for trees | Nature Machine Intelligence | 2020-01-17 | Scott Lundberg, Gabriel Erion, Hugh Chen et al. |
| 10 | 10,445 | 127.2 | Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI | Information Fusion | 2019-12-26 | Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser et al. |
| 11 | 9,547 | 96.2 | Focal Loss for Dense Object Detection | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2018-07-23 | Tsung-Yi Lin, Priya Goyal, Ross Girshick et al. |
| 12 | 9,073 | 128.9 | Difference-in-Differences with multiple time periods | Journal of Econometrics | 2020-12-17 | Brantly Callaway, Pedro H. C. Sant’Anna |
| 13 | 8,699 | 72.0 | The future of employment: How susceptible are jobs to computerisation? | Technological Forecasting and Social Change | 2016-10-01 | Carl Benedikt Frey, Michael A. Osborne |
| 14 | 8,014 | 124.1 | Difference-in-differences with variation in treatment timing | Journal of Econometrics | 2021-06-12 | Andrew Goodman-Bacon |
| 15 | 7,886 | 117.8 | Review of deep learning: concepts, CNN architectures, challenges, applications, future directions | Journal Of Big Data | 2021-03-31 | Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi et al. |
| 16 | 7,304 | 78.9 | Understanding digital transformation: A review and a research agenda | The Journal of Strategic Information Systems | 2019-02-10 | Grégory Vial |
| 17 | 6,898 | 81.5 | Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization | International Journal of Computer Vision | 2019-10-11 | Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das et al. |
| 18 | 6,575 | 60.6 | Recent advances in convolutional neural networks | Pattern Recognition | 2017-10-13 | Jiuxiang Gu, Zhenhua Wang, Jason Kuen et al. |
| 19 | 6,181 | 72.0 | The global landscape of AI ethics guidelines | Nature Machine Intelligence | 2019-09-02 | Anna Jobin, Marcello Ienca, Effy Vayena |
| 20 | 5,695 | 67.9 | Digital transformation: A multidisciplinary reflection and research agenda | Journal of Business Research | 2019-11-03 | Peter C. Verhoef, Thijs Broekhuizen, Yakov Bart et al. |
| 21 | 5,601 | 79.6 | Estimating dynamic treatment effects in event studies with heterogeneous treatment effects | Journal of Econometrics | 2020-12-16 | Liyang Sun, Sarah Abraham |
| 22 | 5,543 | 59.6 | Object Detection With Deep Learning: A Review | IEEE Transactions on Neural Networks and Learning Systems | 2019-01-28 | Zhong‐Qiu Zhao, Peng Zheng, Shou-Tao Xu et al. |
| 23 | 5,531 | 63.3 | OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2019-07-17 | Zhe Cao, Gines Hidalgo, Tomas Simon et al. |
| 24 | 5,441 | 65.9 | Assessing measurement model quality in PLS-SEM using confirmatory composite analysis | Journal of Business Research | 2019-12-10 | Joe F. Hair, Matt C. Howard, Christian Nitzl |
| 25 | 5,301 | 55.2 | Explanation in artificial intelligence: Insights from the social sciences | Artificial Intelligence | 2018-10-26 | Tim Miller |
| 26 | 5,262 | 81.4 | A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects | IEEE Transactions on Neural Networks and Learning Systems | 2021-06-10 | Zewen Li, Fan Liu, Wenjie Yang et al. |
| 27 | 5,111 | 43.8 | Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations | International Journal of Computer Vision | 2017-02-05 | Ranjay Krishna, Yuke Zhu, Oliver Groth et al. |
| 28 | 5,007 | 47.6 | Multimodal Machine Learning: A Survey and Taxonomy | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2018-01-25 | Tadas Baltrušaitis, Chaitanya Ahuja, Louis‐Philippe Morency |
| 29 | 4,889 | 62.0 | Deep High-Resolution Representation Learning for Visual Recognition | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2020-04-01 | Jingdong Wang, Ke Sun, Tianheng Cheng et al. |
| 30 | 4,682 | 83.2 | A Survey on Vision Transformer | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2022-02-18 | Kai Han, Yunhe Wang, Hanting Chen et al. |
| 31 | 4,594 | 53.4 | Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy | International Journal of Information Management | 2019-08-27 | Yogesh Kumar Dwivedi, Laurie Hughes, Elvira Ismagilova et al. |
| 32 | 4,564 | 104.6 | Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy | International Journal of Information Management | 2023-03-11 | Yogesh Kumar Dwivedi, Nir Kshetri, Laurie Hughes et al. |
| 33 | 4,192 | 39.0 | Learning without Forgetting | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2017-11-14 | Zhizhong Li, Derek Hoiem |
| 34 | 3,983 | 35.6 | Places: A 10 Million Image Database for Scene Recognition | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2017-07-04 | Bolei Zhou, Àgata Lapedriza, Aditya Khosla et al. |
| 35 | 3,955 | 35.5 | Circular Economy: The Concept and its Limitations | Ecological Economics | 2017-07-12 | Jaana Korhonen, Antero Honkasalo, Jyri Seppälä |
| 36 | 3,925 | 58.4 | Knowledge Distillation: A Survey | International Journal of Computer Vision | 2021-03-22 | Jianping Gou, Baosheng Yu, Stephen J. Maybank et al. |
| 37 | 3,895 | 39.1 | CasADi: a software framework for nonlinear optimization and optimal control | Mathematical Programming Computation | 2018-07-11 | Joel A.E. Andersson, Joris Gillis, Greg Horn et al. |
| 38 | 3,794 | 54.3 | Image Segmentation Using Deep Learning: A Survey | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2021-01-01 | Shervin Minaee, Yuri Y. Boykov, Fatih Porikli et al. |
| 39 | 3,688 | 33.2 | Business models and dynamic capabilities | Long Range Planning | 2017-07-23 | David J. Teece |
| 40 | 3,636 | 54.0 | Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators | Nature Machine Intelligence | 2021-03-18 | Lu Lu, Pengzhan Jin, Guofei Pang et al. |
| 41 | 3,512 | 37.2 | Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal | Long Range Planning | 2018-12-19 | Karl Warner, Maximilian Wäger |
| 42 | 3,459 | 34.3 | Mask R-CNN | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2018-06-05 | Kaiming He, Georgia Gkioxari, Piotr Dollár et al. |
| 43 | 3,447 | 32.4 | Prolific.ac—A subject pool for online experiments | Journal of Behavioral and Experimental Finance | 2017-12-21 | Stefan Palan, Christian Schitter |
| 44 | 3,404 | 39.6 | Res2Net: A New Multi-Scale Backbone Architecture | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2019-08-30 | Shanghua Gao, Ming‐Ming Cheng, Kai Zhao et al. |
| 45 | 3,369 | 35.9 | Do Investors Care about Carbon Risk? | Journal of Financial Economics | 2019-01-01 | Patrick G M Bolton, Marcin T. Kacperczyk |
| 46 | 3,336 | 36.3 | Deep learning for time series classification: a review | Data Mining and Knowledge Discovery | 2019-03-02 | Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber et al. |
| 47 | 3,293 | 64.6 | Learning to Prompt for Vision-Language Models | International Journal of Computer Vision | 2022-07-31 | Kaiyang Zhou, Jingkang Yang, Chen Change Loy et al. |
| 48 | 3,239 | 50.3 | Temporal Fusion Transformers for interpretable multi-horizon time series forecasting | International Journal of Forecasting | 2021-06-16 | Bryan Y. Lim, Sercan Ö. Arık, Nicolas Loeff et al. |
| 49 | 3,189 | 27.0 | An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2016-12-29 | Baoguang Shi, Xiang Bai, Cong Yao |
| 50 | 3,140 | 55.9 | How much should we trust staggered difference-in-differences estimates? | Journal of Financial Economics | 2022-02-22 | Andrew C. Baker, David F. Larcker, Charles C. Y. Wang |