懒人论文要撰写一篇高质量的期刊论文，是需要精心策划与反复打磨的。对于学术大佬而言，提示词不仅帮助他们更好地组织思路，还让他们在撰写过程中避免了许多常见的陷阱。
从确定研究主题到撰写摘要，从文献综述到研究方法，再到讨论与结论，ChatGPT的提示词都发挥了不可或缺的作用。下面我会分享九个学术大佬归纳的期刊论文提示词，囊括了大部分期刊论文的每一个结构。
1.标题
概括研究主题与核心目的，也就是你期刊论文的选题。
提示词1：明确研究主题，如“人工智能在医疗诊断中的最新应用及其对诊断准确性的影响”。[Define the research topic as “The Latest Applications of Artificial Intelligence in Medical Diagnosis and Its Impact on Diagnostic Accuracy.”]
提示词2：简洁明了，避免冗长和复杂词汇，确保标题直接反映研究核心内容。[Be concise and avoid lengthy or complex terminology, ensuring the title directly reflects the core content of the research.]
提示词3：强调研究的独特性和创新点，如“基于深度学习的人工智能算法在肿瘤诊断中的突破”。[Emphasize the uniqueness and innovation of the research, such as “Breakthroughs in Tumor Diagnosis Based on Deep Learning Algorithms in Artificial Intelligence.”]
2.摘要
简短总结研究背景、方法、主要发现和结论，便于快速了解期刊论文内容。
提示词1：概述研究背景，如“随着医疗技术的不断进步，人工智能在医疗诊断中的应用日益广泛”。[Summarize the research background, such as “With the continuous advancement of medical technology, the application of artificial intelligence in medical diagnosis has become increasingly widespread.”]
提示词2：简述研究方法、主要发现和结论，如“本研究采用深度学习算法对医疗影像进行自动诊断，发现AI算法在特定肿瘤诊断中的准确率显著提高”。[Briefly describe the methodology, key findings, and conclusions, such as “This study uses deep learning algorithms for automatic diagnosis of medical images, finding that AI algorithms significantly improve accuracy in specific tumor diagnoses.”]
提示词3：强调研究的实际应用价值和理论贡献，如“本研究为人工智能在医疗诊断中的广泛应用提供了科学依据和参考”。[Emphasize the practical applications and theoretical contributions of the research, such as “This study provides a scientific basis and reference for the widespread application of artificial intelligence in medical diagnosis.”]
3.引言
介绍研究背景、研究问题的重要性及研究目的，为研究提供理论或实践背景。
提示词1：介绍研究领域的历史背景和现状，如“人工智能在医疗诊断中的应用经历了从初步探索到广泛应用的过程”。[Introduce the historical background and current state of the research field, such as “The application of artificial intelligence in medical diagnosis has evolved from initial exploration to widespread use.”]
提示词2：阐述研究问题的紧迫性和重要性，以及研究的空白点，如“尽管AI在医疗诊断中取得了一定成果，但其对诊断准确性的具体影响及潜在风险仍需进一步探讨”。[Explain the urgency and importance of the research question, and identify gaps in the literature, such as “Despite the achievements of AI in medical diagnosis, its specific impact on diagnostic accuracy and potential risks still need further exploration.”]
提示词3：明确研究目的、假设和预期成果，如“本研究旨在探索AI算法在医疗诊断中的优化策略，提高诊断准确性，并评估其在实际应用中的可行性和安全性”。[Define the research objectives, hypotheses, and expected outcomes, such as “This study aims to explore optimization strategies for AI algorithms in medical diagnosis, improve diagnostic accuracy, and evaluate their feasibility and safety in practical applications.”]
4.文献综述
回顾并分析相关领域的研究现状、研究成果与不足，为研究定位提供依据。
提示词1：系统梳理和分析相关领域的主要研究成果，如“近年来，国内外学者在AI医疗诊断领域取得了显著进展，包括算法优化、数据集构建等方面”。[Systematically review and analyze key research findings in the relevant field, such as “In recent years, scholars at home and abroad have made significant progress in the field of AI medical diagnosis, including algorithm optimization, dataset construction, and other aspects.”]
提示词2：批判性评价前人研究的优点和不足，如“尽管已有研究在AI医疗诊断方面取得了一定成果，但仍存在数据样本不足、算法泛化能力有限等问题”。[Critically evaluate the strengths and weaknesses of previous research, such as “Although previous research has achieved certain results in AI medical diagnosis, there are still issues such as insufficient data samples and limited algorithm generalization ability.”]
提示词3：明确本研究在现有知识体系中的位置和贡献，如“本研究在现有研究基础上，进一步探索AI算法在医疗诊断中的具体应用和潜在影响”。[Identify the position and contribution of this research within the existing knowledge base, such as “Based on existing research, this study further explores the specific applications and potential impacts of AI algorithms in medical diagnosis.”]
5.研究方法
详细描述研究设计、数据来源、实验步骤或分析技术，确保研究可重复验证。
提示词1：详细描述研究设计、样本选择和数据收集方法，如“本研究采用随机对照试验设计，选取多家医院的医疗影像数据作为样本，利用深度学习算法进行自动诊断”。[Provide a detailed description of the research design, sample selection, and data collection methods, such as “This study adopts a randomized controlled trial design, selects medical image data from multiple hospitals as samples, and uses deep learning algorithms for automatic diagnosis.”]
提示词2：说明数据分析的技术、软件和步骤，如“采用Python编程语言，利用TensorFlow框架进行深度学习模型的训练和验证”。[Explain the data analysis techniques, software, and steps, such as “Using Python programming language and TensorFlow framework for training and validation of deep learning models.”]
提示词3：确保研究方法的可靠性和有效性，并考虑潜在的偏差和限制，如“通过交叉验证、独立测试集评估等方法，确保模型的稳定性和泛化能力”。[Ensure the reliability and validity of the methodology, and consider potential biases and limitations, such as “Ensuring model stability and generalization ability through cross-validation, independent test set evaluation, and other methods.”]
6.研究结果
展示研究数据、图表或统计分析结果，客观呈现研究发现。
提示词1：清晰、准确地展示研究数据和分析结果，如“通过对比AI算法与传统诊断方法的准确率，发现AI算法在特定肿瘤诊断中的准确率提高了XX%”。[Present research data and analysis results clearly and accurately, such as “By comparing the accuracy of AI algorithms with traditional diagnostic methods, it was found that the accuracy of AI algorithms in specific tumor diagnoses increased by XX%.”]
提示词2：使用图表、图形等辅助说明，增强可读性，如“利用柱状图、折线图等展示AI算法在不同肿瘤诊断中的准确率变化趋势”。[Use charts, graphs, and other visual aids to enhance readability, such as “Using bar charts, line charts, etc., to show the trend of accuracy changes of AI algorithms in different tumor diagnoses.”]
提示词3：对比和解释研究结果与预期假设的一致性或差异性，如“尽管预期AI算法在诊断准确率上会有所提高，但某些特定情况下其表现并不如传统方法”。[Compare and explain the consistency or differences between the research results and the expected hypotheses, such as “Although it was expected that AI algorithms would improve diagnostic accuracy, in some specific cases their performance was not as good as traditional methods.”]
7.讨论
对研究结果进行解释、分析，与已有研究对比，探讨其意义、局限性及未来研究方向。
提示词1：深入分析研究结果的意义，探讨其可能的原因和机制，如“AI算法在医疗诊断中的准确率提高可能与其强大的数据处理能力和特征提取能力有关”。[Deeply analyze the significance of the research results and explore possible causes and mechanisms, such as “The improved accuracy of AI algorithms in medical diagnosis may be related to their powerful data processing and feature extraction capabilities.”]
提示词2：将研究结果与现有理论、文献进行联系和对比，如“本研究结果与已有研究在AI算法优化、数据集构建等方面的结论基本一致”。[Relate and compare the research results with existing theories and literature, such as “The results of this study are generally consistent with previous research conclusions in terms of AI algorithm optimization, dataset construction, and other aspects.”]
提示词3：提出研究限制和未来研究方向的建议，如“本研究仍存在数据样本不足、算法泛化能力有待提升等限制，未来研究可进一步探索更大规模的数据集和更先进的算法”。[Identify research limitations and suggest future research directions, such as “This study still has limitations such as insufficient data samples and limited algorithm generalization ability. Future research can further explore larger datasets and more advanced algorithms.”]
8.结论
总结研究的主要发现，回答研究问题，提出实际应用或理论贡献。
提示词1：总结研究的主要发现和结论，强调其重要性，如“本研究发现AI算法在医疗诊断中具有显著提高诊断准确性的潜力”。[Summarize the main findings and conclusions of the research, emphasizing their importance, such as “This study found that AI algorithms have the potential to significantly improve diagnostic accuracy in medical diagnosis.”]
提示词2：指出研究结果对理论和实践的潜在影响，如“本研究为AI在医疗诊断中的广泛应用提供了科学依据，有望推动医疗诊断技术的革新”。[Indicate the potential implications of the research results for theory and practice, such as “This study provides a scientific basis for the widespread application of AI in medical diagnosis, potentially driving innovation in medical diagnostic technology.”]
提示词3：提出对研究领域的未来展望和贡献，如“未来，随着技术的不断进步和数据的持续积累，AI在医疗诊断中的应用将更加广泛和深入”。[Provide future outlooks and contributions to the research field, such as “In the future, with continuous technological advancements and data accumulation, the application of AI in medical diagnosis will become more widespread and in-depth.”]
9.参考文献
列出论文中引用的所有文献，证明研究的学术基础与知识传承。
提示词1：确保所有引用的文献都符合学术规范和格式要求，如按照期刊的引用格式进行排列。[Ensure all cited references adhere to academic norms and formatting requirements, such as arranging them according to the citation format of the journal.]
提示词2：列出所有在研究中引用的文献，包括期刊文章、书籍、会议论文等，确保引用内容与研究主题紧密相关。[List all references cited in the research, including journal articles, books, conference papers, etc., ensuring that the cited content is closely related to the research topic.]
提示词3：对引用的文献进行适当的解释和说明，以便读者能够更好地理解其与研究主题的联系。[Provide appropriate explanations and descriptions for the cited references
