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Prediction of the future citation counts of papers is increasingly important to find interesting papers among an ever-growing number of papers.
Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
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Is citation analysis a legitimate evaluation tool?
Daryl E. Chubin and Eugene Garfield. 1979 · 1979
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Longformer: The long-document transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004
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Citation rates and perceptions of scientific contribution
Dagfinn W. Aksnes. 2006 · 2006
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Estimating number of citations using author reputation
Carlos Castillo, Debora Donato, and A. Gionis. 2007 · 2007
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Models for predicting and explaining citation count of biomedical articles
Lawrence D. Fu and Constantin F. Aliferis. 2008 · 2008
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Predicting citation count of bioinformatics papers within four years of publication
Alfonso Ibáñez, Pedro Larrañaga, and Concha Bielza. 2009 · 2009
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Citation count prediction: learning to estimate future citations for literature
Rui Yan, Jie Tang, Xiaobing Liu, Dongdong Shan, and Xiaoming Li. 2011 · 2011
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Towards a stratified learning approach to predict future citation counts
Tanmoy Chakraborty, Suhansanu Kumar, Pawan Goyal, Niloy Ganguly, and Animesh Mukherjee. 2014 · 2014
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Learning phrase representations using RNN encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
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High impact academic paper prediction using temporal and topological features
Feruz Davletov, Ali Aydin, and Ali Cakmak. 2014 · 2014
Cited alongside, same era.
Distributed representations of sentences and documents
Quoc V. Le and Tomás Mikolov. 2014 · 2014
Cited alongside, same era.
Citation count prediction as a link prediction problem
Nataliia Pobiedina and Ryutaro Ichise. 2015 · 2015
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Predicting citation counts based on deep neural network learning techniques
Alireza Abrishami and Sadegh Aliakbary. 2018 · 2018
Cited alongside, same era.
SciBERT: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2020
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SChuBERT: Scholarly document chunks with BERT-encoding boost citation count prediction
Thomas van Dongen, Gideon Maillette de Buy Wenniger, and Lambert Schomaker. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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Unsupervised data augmentation for consistency training
Qizhe Xie, Zihang Dai, Eduard Hovy, Thang Luong, and Quoc Le. 2020 · 2020
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Big Bird: Transformers for longer sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, and Amr Ahmed. 2020 · 2020
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Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Hierarchical transformers for long document classification
R. Pappagari, Piotr Żelasko, Jesús Villalba, Yishay Carmiel, and Najim Dehak. 2019 · 2019
Cited alongside, same era.
Reformer: The efficient transformer
Nikita Kitaev, Lukasz Kaiser, and Anselm Levskaya. 2020 · 2020
Cited alongside, same era.
A deep-learning based citation count prediction model with paper metadata semantic features
Anqi Ma, Yu Liu, Xiujuan Xu, and Tao Dong. 2021 · 2021
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A hierarchical bert-based transfer learning approach for multi-dimensional essay scoring
Jin Xue, Xiaoyi Tang, and Liyan Zheng. 2021 · 2021
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BERT for long documents: A case study of automated ICD coding
Arash Afkanpour, Shabir Adeel, Hansenclever Bassani, Arkady Epshteyn, Hongbo Fan, Isaac Jones, Mahan Malihi, Adrian Nauth, Raj Sinha, Sanjana Woonna, Shiva Zamani, Elli Kanal, Mikhail Fomitchev, and Donny Cheung. 2022 · 2022
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Realistic citation count prediction task for newly published papers
Jun Hirako, Ryohei Sasano, and Koichi Takeda. 2023 · 2023
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