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| Information: 2024年高引用文章精选 | MDPI 文献清单 |
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期刊名：Information
期刊主页：https://www.mdpi.com/journal/information
本期文献清单汇集了Information期刊2024年的10篇高影响力论文，涵盖了循环神经网络综述、社会VR沉浸式叙事、面部表情识别、可解释AI心脏病预测、知识图谱构建与句子变换器语义查询等热点。同时，足部溃疡分割、LSTM股票策略优化、大语言模型及BERT的旅游评论分析，以及AI农业经济决策等研究也收录其中。我们希望这份清单能为同行学者拓宽研究视野，提供有价值的参考，欢迎各位阅读指正。
高引用文章精选一
Recurrent Neural Networks: A Comprehensive Review of Architectures, Variants, and Applications
循环神经网络：架构、变体与应用的综合综述
Mienye, I.D.; Swart, T.G.; Obaido, G.
https://www.mdpi.com/2078-2489/15/9/517
Mienye, I.D.; Swart, T.G.; Obaido, G. Recurrent Neural Networks: A Comprehensive Review of Architectures, Variants, and Applications.Information2024,15, 517.https://doi.org/10.3390/info15090517
高引用文章精选二
Immersive Storytelling in Social Virtual Reality for Human-centered Learning of Sensitive Historical Events
社会虚拟现实中沉浸式叙事用于人类中心化的敏感历史事件学习
Papadopoulou, A.; Mystakidis, S.; Tsinakos, A.
https://www.mdpi.com/2078-2489/15/5/244
Papadopoulou, A.; Mystakidis, S.; Tsinakos, A. Immersive Storytelling in Social Virtual Reality for Human-centered Learning of Sensitive Historical Events.Information2024,15, 244.https://doi.org/10.3390/info15050244
高引用文章精选三
Advances in Facial Expression Recognition: A Survey of Methods, Benchmarks, Models, and Datasets
面部表情识别研究进展：方法、基准、模型与数据集综述
Kopalidis, T.; Solachidis, V.; Vretos, N.; Daras, P.
https://www.mdpi.com/2078-2489/15/3/135
Kopalidis, T.; Solachidis, V.; Vretos, N.; Daras, P. Advances in Facial Expression Recognition: A Survey of Methods, Benchmarks, Models, and Datasets.Information2024,15, 135.https://doi.org/10.3390/info15030135
高引用文章精选四
Optimized Ensemble Learning Approach with Explainable AI for Improved Heart Disease Prediction
结合可解释AI的优化集成学习方法用于改善心脏病预测
Mienye, I.D.; Jere, N.
https://www.mdpi.com/2078-2489/15/7/394
Mienye, I.D.; Jere, N. Optimized Ensemble Learning Approach with Explainable AI for Improved Heart Disease Prediction.Information2024,15, 394.https://doi.org/10.3390/info15070394
高引用文章精选五
Construction of Knowledge Graphs: Current State and Challenges
知识图谱构建：当前状况与挑战
Hofer, M.; Obraczka, D.; Saeedi, A.; Köpcke, H.; Rahm, E.
https://www.mdpi.com/2078-2489/15/8/509
Hofer, M.; Obraczka, D.; Saeedi, A.; Köpcke, H.; Rahm, E. Construction of Knowledge Graphs: Current State and Challenges.Information2024,15, 509.https://doi.org/10.3390/info15080509
高引用文章精选六
Performance of 4 pre-trained sentence transformer models in the semantic query of a systematic review dataset on peri-implantitis
四种预训练句子变换器模型在种植体周围炎系统综述数据集语义查询中的性能
Galli, C.; Donos, N.; Calciolari, E.
https://www.mdpi.com/2078-2489/15/2/68
Galli, C.; Donos, N.; Calciolari, E. Performance of 4 pre-trained sentence transformer models in the semantic query of a systematic review dataset on peri-implantitis.Information2024,15, 68.https://doi.org/10.3390/info15020068
高引用文章精选七
FUSeg: The Foot Ulcer Segmentation Challenge
FUSeg：足部溃疡分割挑战
Wang, C.; Mahbod, A.; Ellinger, I.; Galdran, A.; Gopalakrishnan, S.; Niezgoda, J.; Yu, Z.
https://www.mdpi.com/2078-2489/15/3/140
Wang, C.; Mahbod, A.; Ellinger, I.; Galdran, A.; Gopalakrishnan, S.; Niezgoda, J.; Yu, Z. FUSeg: The Foot Ulcer Segmentation Challenge.Information2024,15, 140.https://doi.org/10.3390/info15030140
高引用文章精选八
Optimization of traditional stock market strategies by LSTM hybrid approach
通过LSTM混合方法优化传统股票市场策略
Botunac, I.; Bosna, J.; Mateti?, M.
https://www.mdpi.com/2078-2489/15/3/136
Botunac, I.; Bosna, J.; Mateti?, M. Optimization of traditional stock market strategies by LSTM hybrid approach.Information2024,15, 136.https://doi.org/10.3390/info15030136
高引用文章精选九
Respon Leveraging LLMs in Tourism: A Comparative Study of the latest GPT Omni models and BERT NLP for Customer Review Classification and Sentiment Analysis
旅游行业中LLM的应用：最新GPT Omni模型与BERT NLP在客户评论分类和情感分析中的比较研究
Roumeliotis, K.I.; Tselikas, N.D.; Nasiopoulos, D.K.
https://www.mdpi.com/2078-2489/15/12/792
Roumeliotis, K.I.; Tselikas, N.D.; Nasiopoulos, D.K. Leveraging LLMs in Tourism: A Comparative Study of the latest GPT Omni models and BERT NLP for Customer Review Classification and Sentiment Analysis.Information2024,15, 792.https://doi.org/10.3390/info15120792
高引用文章精选十
Agroeconomic Indexes and Big Data: Digital Marketing Analytics‘ Implication in Enhanced Decision-Making with AI-based Modeling
农业经济指数与大数据：基于AI建模的数字营销分析对增强决策的影响
Giannakopoulos, N.T.; Terzi, M.C.; Sakas, D.P.; Kanellos, N.; Toudas, K.S.; Migkos, S.P.
https://www.mdpi.com/2078-2489/15/2/67
Giannakopoulos, N.T.; Terzi, M.C.; Sakas, D.P.; Kanellos, N.; Toudas, K.S.; Migkos, S.P. Agroeconomic Indexes and Big Data: Digital Marketing Analytics’ Implication in Enhanced Decision-Making with AI-based Modeling.Information2024,15, 67.https://doi.org/10.3390/info15020067
期刊介绍
主编：Prof. Dr. Willy Susilo
University of Wollongong, Australia
Information期刊聚焦 与技术领域的前沿研究成果，涵盖信息系统、计算机科学、数据科学、人工智能、人机交互、网络安全等多个方向。期刊以高效、严谨的同行评审流程著称，致力于为全球学者提供优质的开放获取发表平台。
2025 Impact Factor:4.3
2025 CiteScore: 8.2
Time to First Decision: 18.7 Days;
Acceptance to Publication: 3.8 Days
期刊收录：Scopus、ESCI（Web of Science）、Ei Compendex、dblp 等权威数据库
期刊排名：JCR Q2（计算机科学：信息系统）/ CiteScore Q1（信息系统）
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