---
title: "Artificial Intelligence Review 2023 — papers — Elamur Research"
description: "Artificial Intelligence Review 2023 — papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
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# Artificial Intelligence Review 2023 — papers

The works of Artificial Intelligence Review published in 2023 that our library holds (publisher: Springer Science+Business Media): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**249** works that year](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/artificial-intelligence-review/2023/#works) · [**199** citations of these works](https://md.research.elamur.ai/free/en/venues/artificial-intelligence-review/2023/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[A survey of uncertainty in deep neural networks ↗](https://doi.org/10.1007/s10462-023-10562-9)**Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali et al.*1,406 citations*
2. **[Deep learning modelling techniques: current progress, applications, advantages, and challenges ↗](https://doi.org/10.1007/s10462-023-10466-8)**Shams Forruque Ahmed, Md. Sakib Bin Alam, Maruf Hassan et al.*1,061 citations*
3. **[A comprehensive survey on NSGA-II for multi-objective optimization and applications ↗](https://doi.org/10.1007/s10462-023-10526-z)**Haiping Ma, Yajing Zhang, Shengyi Sun et al.*723 citations*
4. **[Knowledge Graphs: Opportunities and Challenges ↗](https://doi.org/10.1007/s10462-023-10465-9)**Ciyuan Peng, Feng Xia, Mehdi Naseriparsa et al.*697 citations*
5. **[An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges ↗](https://doi.org/10.1007/s10462-023-10470-y)**Kanchan Rajwar, Kusum Deep, Swagatam Das*687 citations*
6. **[Crayfish optimization algorithm ↗](https://doi.org/10.1007/s10462-023-10567-4)**Heming Jia, Honghua Rao, Changsheng Wen et al.*639 citations*
7. **[Neurosymbolic AI: the 3rd wave ↗](https://doi.org/10.1007/s10462-023-10448-w)**Artur d’Avila Garcez, Luís C. Lamb*503 citations*
8. **[A survey of the vision transformers and their CNN-transformer based variants ↗](https://doi.org/10.1007/s10462-023-10595-0)**Asifullah Khan, Asifullah Khan, Zunaira Rauf et al.*451 citations*
9. **[Medical image data augmentation: techniques, comparisons and interpretations ↗](https://doi.org/10.1007/s10462-023-10453-z)**Evgin Göçeri*446 citations*
10. **[A survey of Bayesian Network structure learning ↗](https://doi.org/10.1007/s10462-022-10351-w)**Neville Kenneth Kitson, Anthony Costa Constantinou, Zhigao Guo et al.*379 citations*

## All works of the year (249)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[A survey of uncertainty in deep neural networks ↗](https://doi.org/10.1007/s10462-023-10562-9)**Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali et al.*1,406 citations*
2. **[Deep learning modelling techniques: current progress, applications, advantages, and challenges ↗](https://doi.org/10.1007/s10462-023-10466-8)**Shams Forruque Ahmed, Md. Sakib Bin Alam, Maruf Hassan et al.*1,061 citations*
3. **[A comprehensive survey on NSGA-II for multi-objective optimization and applications ↗](https://doi.org/10.1007/s10462-023-10526-z)**Haiping Ma, Yajing Zhang, Shengyi Sun et al.*723 citations*
4. **[Knowledge Graphs: Opportunities and Challenges ↗](https://doi.org/10.1007/s10462-023-10465-9)**Ciyuan Peng, Feng Xia, Mehdi Naseriparsa et al.*697 citations*
5. **[An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges ↗](https://doi.org/10.1007/s10462-023-10470-y)**Kanchan Rajwar, Kusum Deep, Swagatam Das*687 citations*
6. **[Crayfish optimization algorithm ↗](https://doi.org/10.1007/s10462-023-10567-4)**Heming Jia, Honghua Rao, Changsheng Wen et al.*639 citations*
7. **[Neurosymbolic AI: the 3rd wave ↗](https://doi.org/10.1007/s10462-023-10448-w)**Artur d’Avila Garcez, Luís C. Lamb*503 citations*
8. **[A survey of the vision transformers and their CNN-transformer based variants ↗](https://doi.org/10.1007/s10462-023-10595-0)**Asifullah Khan, Asifullah Khan, Zunaira Rauf et al.*451 citations*
9. **[Medical image data augmentation: techniques, comparisons and interpretations ↗](https://doi.org/10.1007/s10462-023-10453-z)**Evgin Göçeri*446 citations*
10. **[A survey of Bayesian Network structure learning ↗](https://doi.org/10.1007/s10462-022-10351-w)**Neville Kenneth Kitson, Anthony Costa Constantinou, Zhigao Guo et al.*379 citations*
11. **[Spider wasp optimizer: a novel meta-heuristic optimization algorithm ↗](https://doi.org/10.1007/s10462-023-10446-y)**Mohamed Abdel‐Basset, Reda Mohamed, Mohammed Jameel et al.*364 citations*
12. **[Machine learning algorithms to forecast air quality: a survey ↗](https://doi.org/10.1007/s10462-023-10424-4)**Manuel Méndez, Mercedes G. Merayo, Manuel A. Nunez*303 citations*
13. **[Impact of word embedding models on text analytics in deep learning environment: a review ↗](https://doi.org/10.1007/s10462-023-10419-1)**Deepak Suresh Asudani, Naresh Kumar Nagwani, Pradeep Singh*270 citations*
14. **[Biometrics recognition using deep learning: a survey ↗](https://doi.org/10.1007/s10462-022-10237-x)**Shervin Minaee, AmirAli Abdolrashidi, Hang Su et al.*245 citations*
15. **[Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems ↗](https://doi.org/10.1007/s10462-023-10403-9)**Mohamed Abdel‐Basset, Doaa El-Shahat, Mohammed Jameel et al.*229 citations*
16. **[Review and empirical analysis of sparrow search algorithm ↗](https://doi.org/10.1007/s10462-023-10435-1)**Yinggao Yue, Li Juan Cao, Dongwan Lu et al.*222 citations*
17. **[Survey on sentiment analysis: evolution of research methods and topics ↗](https://doi.org/10.1007/s10462-022-10386-z)**Jingfeng Cui, Zhaoxia Wang, Seng-Beng Ho et al.*213 citations*
18. **[A systematic review of artificial intelligence impact assessments ↗](https://doi.org/10.1007/s10462-023-10420-8)**Bernd Carsten Stahl, Josephina Antoniou, Nitika Bhalla et al.*212 citations*
19. **[An efficient lightweight convolutional neural network for industrial surface defect detection ↗](https://doi.org/10.1007/s10462-023-10438-y)**Dehua Zhang, Xinyuan Hao, Dechen Wang et al.*208 citations*
20. **[Artificial intelligence applications for microgrids integration and management of hybrid renewable energy sources ↗](https://doi.org/10.1007/s10462-023-10410-w)**M. Talaat, M.H. Elkholy, Adel Alblawi et al.*193 citations*
21. **[Zero-day attack detection: a systematic literature review ↗](https://doi.org/10.1007/s10462-023-10437-z)**Rasheed Ahmad, Izzat Mahmoud Alsmadi, Wasim A. Al-Hamdani et al.*182 citations*
22. **[Sentiment analysis: A survey on design framework, applications and future scopes ↗](https://doi.org/10.1007/s10462-023-10442-2)**Monali Bordoloi, Saroj Kr. Biswas*181 citations*
23. **[Deep reinforcement learning-based air combat maneuver decision-making: literature review, implementation tutorial and future direction ↗](https://doi.org/10.1007/s10462-023-10620-2)**Xinwei Wang, Yihui Wang, Xichao Su et al.*169 citations*
24. **[Bayesian learning for neural networks: an algorithmic survey ↗](https://doi.org/10.1007/s10462-023-10443-1)**Martin Magris, Alexandros Iosifidis*158 citations*
25. **[A comprehensive review of Binary Neural Network ↗](https://doi.org/10.1007/s10462-023-10464-w)**Chunyu Yuan, Sos С. Agaian*134 citations*

[See all 249 papers in Artificial Intelligence Review 2023 — papers →](https://md.research.elamur.ai/free/en/venues/artificial-intelligence-review/2023/papers/)

## Works with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation](https://md.research.elamur.ai/free/en/papers/huang-2023-survey-safety-trustworthiness-large-language/) [Artificial Intelligence Review](https://md.research.elamur.ai/free/en/venues/artificial-intelligence-review/)**Xiaowei Huang, Wenjie Ruan, Wei Huang, et al.*2023 · 199 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety (1)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Fields

[Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Engineering (1)](https://md.research.elamur.ai/free/en/shelves/engineering/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Changshun Wu**1 work here · 199 citations](https://md.research.elamur.ai/free/en/authors/changshun-wu/) · [🧑‍🔬**Wei Huang**1 work here · 199 citations](https://md.research.elamur.ai/free/en/authors/wei-huang/) · [🧑‍🔬**Wenjie Ruan**1 work here · 199 citations](https://md.research.elamur.ai/free/en/authors/wenjie-ruan/) · [🧑‍🔬**Xiaowei Huang**1 work here · 199 citations](https://md.research.elamur.ai/free/en/authors/xiaowei-huang/) · [🧑‍🔬**Yi Dong**1 work here · 199 citations](https://md.research.elamur.ai/free/en/authors/yi-dong/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**University of Liverpool** Liverpool · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-liverpool/) · [🎓**University of Manchester** Manchester · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-manchester/) · [🔬**Purple Mountain Laboratories** Nanjing · China 1 work here](https://md.research.elamur.ai/free/en/labs/purple-mountain-laboratories/) · [🎓**Université Grenoble Alpes** Saint-Martin-d'Hères · France 1 work here](https://md.research.elamur.ai/free/en/universities/universite-grenoble-alpes/) · [🎓**KU Leuven** Leuven · Belgium 1 work here](https://md.research.elamur.ai/free/en/universities/ku-leuven/)

works and citations from OpenAlex and our library.

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