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. Information 2024, 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. Information 2024, 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. Information 2024, 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. Information 2024, 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. Information 2024, 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. Information 2024, 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. Information 2024, 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. Information 2024, 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. Information 2024, 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. Information 2024, 15, 67. https://doi.org/10.3390/info15020067

期刊介绍

主编：Prof. Dr. Willy Susilo

University of Wollongong, Australia

Information 期刊聚焦信息科学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）