keras-team/keras: papers linking to it

GitHub · 64,413 stars · 19,823 forks · Python · license Apache-2.0 · created 2015 · github.com/keras-team/keras

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to keras-team/keras (https://github.com/keras-team/keras), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

138 papers in the tracked journals link to the GitHub repository keras-team/keras in their Crossref records, the first in 2017; most of them (22) in 2021.
By category: AI (113), Operations Research (15) and Marketing (2); the journals with the most are Neural Computing and Applications (37), Expert Systems with Applications (17) and Applied Intelligence (9).
20 of the papers build on one another: a later paper cites an earlier one that also links keras-team/keras.

By year#

20172026

Papers linking to keras-team/keras by publication year
Year	Papers
2017	13
2018	15
2019	19
2020	22
2021	22
2022	18
2023	10
2024	11
2025	5
2026	3

Journals#

Journals whose papers link to keras-team/keras most
Journal	Papers
Neural Computing and Applications	37
Expert Systems with Applications	17
Applied Intelligence	9
Pattern Recognition	7
Knowledge-Based Systems	6

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach Transportation Research Part C Emerging Technologies, 2017
- On demand forecasting of demand-responsive paratransit services with prior reservations Transportation Research Part C Emerging Technologies, 2020 — cites the paper above
Deep learning with long short-term memory networks for financial market predictions European Journal of Operational Research, 2017
- Forex exchange rate forecasting using deep recurrent neural networks Digital Finance, 2020 — cites the paper above
- Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions European Journal of Operational Research, 2020 — cites the paper above
  - A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting Neural Computing and Applications, 2021 — cites the paper above
- Stock market index prediction using transformer neural network models and frequency decomposition Neural Computing and Applications, 2024 — cites the paper above
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines Information Fusion, 2017
- Ruta: Implementations of neural autoencoders in R Knowledge-Based Systems, 2019 — cites the paper above
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation Expert Systems with Applications, 2018
- Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks Knowledge-Based Systems, 2019 — cites the paper above
Multi-output bus travel time prediction with convolutional LSTM neural network Expert Systems with Applications, 2018
- DENS-ECG: A deep learning approach for ECG signal delineation Expert Systems with Applications, 2020 — cites the paper above
  - Tackling the muon identification in water Cherenkov detectors problem for the future Southern Wide-field Gamma-ray Observatory by means of machine learning Neural Computing and Applications, 2022 — cites the paper above
Survey on categorical data for neural networks Journal Of Big Data, 2020
- Selecting Data Assets in Data Marketplaces Business & Information Systems Engineering, 2025 — cites the paper above
Classification of olive leaf diseases using deep convolutional neural networks Neural Computing and Applications, 2020
- Image classification method on class imbalance datasets using multi-scale CNN and two-stage transfer learning Neural Computing and Applications, 2021 — cites the paper above
Convolutional neural network with margin loss for fake news detection Information Processing & Management, 2020
- DSS: A hybrid deep model for fake news detection using propagation tree and stance network Expert Systems with Applications, 2022 — cites the paper above

Papers linking to keras-team/keras, most cited first (60 of 138)
Published	Title	Journal	Authors	Citations	Link
2017-12-05	Deep learning with long short-term memory networks for financial market predictions	European Journal of Operational Research	Thomas Günter Fischer, Christopher Krauß	2,828	cites it
2017-10-24	Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach	Transportation Research Part C Emerging Technologies	Jintao Ke, Hongyu Zheng, Hai Yang et al.	728	cites it
2020-04-10	Survey on categorical data for neural networks	Journal Of Big Data	John Hancock, Taghi M. Khoshgoftaar	619	cites it
2017-08-31	Revisiting multiple instance neural networks	Pattern Recognition	Xinggang Wang, Yongluan Yan, Peng Tang et al.	501	cites it
2020-08-07	Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions	European Journal of Operational Research	Konstantinos I. Nikolopoulos, Sushil Punia, Andreas Schäfers et al.	499	cites it
2019-07-28	Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation	Computational Statistics & Data Analysis	Yongchan Kwon, Joong‐Ho Won, Beom Joon Kim et al.	423	cites it
2018-08-14	A deep learning approach for real-time detection of atrial fibrillation	Expert Systems with Applications	Rasmus S. Andersen, Abdolrahman Peimankar, Sadasivan K Puthusserypady	406	cites it
2020-11-17	Attention-based VGG-16 model for COVID-19 chest X-ray image classification	Applied Intelligence	Chiranjibi Sitaula, Mohammad Belayet Hossain	349	cites it
2021-05-07	Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset	International Journal of Computer Vision	Feifan Lv, Yu Li, Feng Lu	324	cites it
2017-12-23	A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines	Information Fusion	David Charte, Francisco Charte, Salvador García et al.	306	cites it
2018-11-22	Multi-output bus travel time prediction with convolutional LSTM neural network	Expert Systems with Applications	Niklas Petersen, Filipe Rodrigues, Francisco C. Pereira	290	cites it
2021-06-21	Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors	Nature Machine Intelligence	Claudionor N. Coelho, Aki Kuusela, Shan Li et al.	226	cites it
2017-10-16	Deep learning for freezing of gait detection in Parkinson’s disease patients in their homes using a waist-worn inertial measurement unit	Knowledge-Based Systems	Julià Camps, Albert Samà, Mario Martín et al.	225	cites it
2017-09-19	Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations	Knowledge-Based Systems	Hakan Gündüz, Yusuf Yaslan, Zehra Çataltepe	188	cites it
2020-09-10	DENS-ECG: A deep learning approach for ECG signal delineation	Expert Systems with Applications	Abdolrahman Peimankar, Sadasivan K Puthusserypady	175	cites it
2017-04-29	A hybrid recommender system using artificial neural networks	Expert Systems with Applications	Tulasi K. Paradarami, Nathaniel D. Bastian, Jennifer L. Wightman	158	cites it
2020-09-09	Enhancing discrete choice models with representation learning	Transportation Research Part B Methodological	Brian Sifringer, Virginie Lurkin, Alexandre Alahi	152	cites it
2021-10-21	Audio based depression detection using Convolutional Autoencoder	Expert Systems with Applications	Sara Sardari, Bahareh Nakisa, Mohammad Naim Rastgoo et al.	151	cites it
2020-02-14	Deep-learning-based prediction of late age-related macular degeneration progression	Nature Machine Intelligence	Qi Yan, Daniel E. Weeks, Hongyi Xin et al.	147	cites it
2021-02-26	BERT: a sentiment analysis odyssey	Journal of Marketing Analytics	Shivaji Alaparthi, Manit Mishra	147	cites it
2020-08-01	Classification of olive leaf diseases using deep convolutional neural networks	Neural Computing and Applications	Sinan Uğuz, Nese Uysal	144	cites it
2018-10-06	Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation	Expert Systems with Applications	Anabel Gómez-Ríos, Siham Tabik, Julián Luengo et al.	142	cites it
2020-10-29	Convolutional neural network with margin loss for fake news detection	Information Processing & Management	Mohammad Hadi Goldani, Reza Safabakhsh, Saeedeh Momtazi	139	cites it
2018-08-04	Improved inception-residual convolutional neural network for object recognition	Neural Computing and Applications	Md Zahangir Alom, Mahmudul Hasan, Chris Yakopcic et al.	135	cites it
2020-12-25	CNN with depthwise separable convolutions and combined kernels for rating prediction	Expert Systems with Applications	Zahid Younas Khan, Zhendong Niu	132	cites it
2022-04-21	Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments	Nature Machine Intelligence	Markus Marks, Jin Qiuhan, Oliver Sturman et al.	129	cites it
2019-08-27	Deep learning assisted heuristic tree search for the container pre-marshalling problem	Computers & Operations Research	André Hottung, Shunji Tanaka, Kevin Tierney	121	cites it
2020-05-26	Surrogate optimization of deep neural networks for groundwater predictions	Journal of Global Optimization	Juliane Müller, Jangho Park, Reetik Kumar Sahu et al.	108	cites it
2017-08-29	Ask Your Neurons: A Deep Learning Approach to Visual Question Answering	International Journal of Computer Vision	Mateusz Malinowski, Marcus Rohrbach, Mario Fritz	105	cites it
2019-01-28	Training deep neural networks for binary communication with the Whetstone method	Nature Machine Intelligence	William Severa, Craig Michael Vineyard, Ryan Dellana et al.	105	cites it
2022-02-07	DSS: A hybrid deep model for fake news detection using propagation tree and stance network	Expert Systems with Applications	Mansour Davoudi, Mohammad Reza Moosavi, Mohammad Hadi Sadreddini	94	cites it
2018-03-22	Pairwise based deep ranking hashing for histopathology image classification and retrieval	Pattern Recognition	Xiaoshuang Shi, Manish Sapkota, Fuyong Xing et al.	93	cites it
2020-03-27	Forex exchange rate forecasting using deep recurrent neural networks	Digital Finance	Alexander Jakob Dautel, Wolfgang Karl Härdle, Stefan Lessmann et al.	93	cites it
2021-12-17	PatentNet: multi-label classification of patent documents using deep learning based language understanding	Scientometrics	Arousha Haghighian Roudsari, Jafar Afshar, Wookey Lee et al.	93	cites it
2019-04-17	DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending	Transportation Research Part C Emerging Technologies	Xingyuan Dai, Rui Fu, Enmin Zhao et al.	87	cites it
2019-11-26	Plus–minus player ratings for soccer	European Journal of Operational Research	Tarak Kharrat, Ian G. McHale, Javier López Peña	78	cites it
2020-05-19	T-Net: Nested encoder–decoder architecture for the main vessel segmentation in coronary angiography	Neural Networks	Tae Joon Jun, Jihoon Kweon, Young‐Hak Kim et al.	73	cites it
2023-10-05	A causal-temporal graphic convolutional network (CT-GCN) approach for TBM load prediction in tunnel excavation	Expert Systems with Applications	Xianlei Fu, Yue Pan, Limao Zhang	68	cites it
2018-04-13	Vehicle classification from low-frequency GPS data with recurrent neural networks	Transportation Research Part C Emerging Technologies	Matteo Simoncini, Leonardo Taccari, Francesco Sambo et al.	65	cites it
2021-07-21	Detecting ethnicity-targeted hate speech in Russian social media texts	Information Processing & Management	Ekaterina Pronoza, Polina Panicheva, Olessia Y. Koltsova et al.	65	cites it
2021-10-10	A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting	Neural Computing and Applications	Hossein Abbasimehr, Reza Paki, Aram Bahrini	65	cites it
2019-12-09	Predicting disease-associated mutation of metal-binding sites in proteins using a deep learning approach	Nature Machine Intelligence	Mohamad Koohi‐Moghadam, Haibo Wang, Yuchuan Wang et al.	62	cites it
2021-04-21	U-net based analysis of MRI for Alzheimer’s disease diagnosis	Neural Computing and Applications	Zhonghao Fan, Johann Li, Liang Zhang et al.	61	cites it
2022-08-29	Machine learning-based proactive social-sensor service for mental health monitoring using twitter data	International Journal of Information Management Data Insights	Shailesh Hinduja, Mahbuba Afrin, Sajib Mistry et al.	61	cites it
2023-09-25	Improving flight delays prediction by developing attention-based bidirectional LSTM network	Expert Systems with Applications	Maged Mamdouh, Mostafa Ezzat, Hesham Ahmed Hefny	61	cites it
2017-05-31	Lexicon-free fingerspelling recognition from video: Data, models, and signer adaptation	Computer Speech & Language	Tae-Hwan Kim, Jonathan Keane, Weiran Wang et al.	59	cites it
2018-07-21	Deep learning to detect botnet via network flow summaries	Neural Computing and Applications	Abdurrahman Pektaş, Tankut Acarman	57	cites it
2017-07-29	On the effects of using word2vec representations in neural networks for dialogue act recognition	Computer Speech & Language	Christophe Cerisara, Pavel Král, Ladislav Lenc	53	cites it
2019-07-29	Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks	Knowledge-Based Systems	Anabel Gómez-Ríos, Siham Tabik, Julián Luengo et al.	52	cites it
2021-07-07	Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation	Machine Learning	Srivatsan Krishnan, Behzad Boroujerdian, William Fu et al.	50	cites it
2020-09-18	Semi-supervised deep learning based named entity recognition model to parse education section of resumes	Neural Computing and Applications	Bodhvi Gaur, Gurpreet Singh Saluja, Hamsa Bharathi Sivakumar et al.	49	cites it
2023-05-05	Siamese neural networks in recommendation	Neural Computing and Applications	Nicolás Serrano, Alejandro Bellogín	49	cites it
2021-02-27	The automatic detection of heart failure using speech signals	Computer Speech & Language	Mittapalle Kiran Reddy, Pyry Helkkula, Y. Madhu Keerthana et al.	47	cites it
2020-07-01	Supervised feature selection through Deep Neural Networks with pairwise connected structure	Knowledge-Based Systems	Yingkun Huang, Weidong Jin, Zhibin Yu et al.	45	cites it
2022-10-07	Deep learning models for vessel’s ETA prediction: bulk ports perspective	Flexible Services and Manufacturing Journal	Sara El Mekkaoui, Loubna Benabbou, Abdelaziz Berrado	43	cites it
2023-03-10	Deep Learning in Employee Selection: Evaluation of Algorithms to Automate the Scoring of Open-Ended Assessments	Journal of Business and Psychology	Isaac Benjamin Thompson, Nick Koenig, Derek L. Mracek et al.	42	cites it
2021-05-25	TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes	Expert Systems with Applications	Tae Joon Jun, Youngsub Eom, Do‐Hyeun Kim et al.	41	cites it
2021-09-06	Unsupervised feature learning-based encoder and adversarial networks	Journal Of Big Data	Endang Suryawati, Hilman Ferdinandus Pardede, Vicky Zilvan et al.	41	cites it
2019-09-05	Fine-grained action segmentation using the semi-supervised action GAN	Pattern Recognition	Harshala Gammulle, Simon Denman, Sridha Sridharan et al.	40	cites it
2021-05-28	Deep neural network compression through interpretability-based filter pruning	Pattern Recognition	Kaixuan Yao, Feilong Cao, Yee Leung et al.	40	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). keras-team/keras: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-keras-team-keras

@misc{scholar4ai-code-github-keras-team-keras,
  author = {{Scholar4AI}},
  title = {keras-team/keras: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-keras-team-keras}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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