小编给大家分享一下如何使用Python代码自动生成文献的IEEE引用格式，相信大部分人都还不怎么了解，因此分享这篇文章给大家参考一下，希望大家阅读完这篇文章后大有收获，下面让我们一起去了解一下吧！
用Python写了一个小程序用于根据BibTeX引用格式来生成IEEE引用格式。
先看代码，如下：
import redef getIeeeJournalFormat(bibInfo): """ 生成期刊文献的IEEE引用格式：{作者}, "{文章标题}," {期刊名称}, vol. {卷数}, no. {编号}, pp. {页码}, {年份}. :return: {author}, "{title}," {journal}, vol. {volume}, no. {number}, pp. {pages}, {year}. """ # 避免字典出现null值 if "volume" not in bibInfo: bibInfo["volume"] = "null" if "number" not in bibInfo: bibInfo["number"] = "null" if "pages" not in bibInfo: bibInfo["pages"] = "null" journalFormat = bibInfo["author"] + \ ", \"" + bibInfo["title"] + \ ",\" " + bibInfo["journal"] + \ ", vol. " + bibInfo["volume"] + \ ", no. " + bibInfo["number"] + \ ", pp. " + bibInfo["pages"] + \ ", " + bibInfo["year"] + "." # 对格式进行调整，去掉没有的信息，调整页码格式 journalFormatNormal = journalFormat.replace(", vol. null", "") journalFormatNormal = journalFormatNormal.replace(", no. null", "") journalFormatNormal = journalFormatNormal.replace(", pp. null", "") journalFormatNormal = journalFormatNormal.replace("--", "-") return journalFormatNormaldef getIeeeConferenceFormat(bibInfo): """ 生成会议文献的IEEE引用格式：{作者}, "{文章标题}, " in {会议名称}, {年份}, pp. {页码}. :return: {author}, "{title}, " in {booktitle}, {year}, pp. {pages}. """ conferenceFormat = bibInfo["author"] + \ ", \"" + bibInfo["title"] + ",\" " + \ ", in " + bibInfo["booktitle"] + \ ", " + bibInfo["year"] + \ ", pp. " + bibInfo["pages"] + "." # 对格式进行调整，，调整页码格式 conferenceFormatNormal = conferenceFormat.replace("--", "-") return conferenceFormatNormaldef getIeeeFormat(bibInfo): """ 本函数用于根据文献类型调用相应函数来输出ieee文献引用格式 :param bibInfo: 提取出的BibTeX引用信息 :return: ieee引用格式 """ if "journal" in bibInfo: # 期刊论文 return getIeeeJournalFormat(bibInfo) elif "booktitle" in bibInfo: # 会议论文 return getIeeeConferenceFormat(bibInfo)def inforDir(bibtex): #pattern = "[\w]+={[^{}]+}" 用正则表达式匹配符合 ...={...} 的字符串 pattern1 = "[\w]+=" # 用正则表达式匹配符合 ...= 的字符串 pattern2 = "{[^{}]+}" # 用正则表达式匹配符合 内层{...} 的字符串 # 找到所有的...=，并去除=号 result1 = re.findall(pattern1, bibtex) for index in range(len(result1)) : result1[index] = re.sub('=', '', result1[index]) # 找到所有的{...}，并去除{和}号 result2 = re.findall(pattern2, bibtex) for index in range(len(result2)) : result2[index] = re.sub('\{', '', result2[index]) result2[index] = re.sub('\}', '', result2[index]) # 创建BibTeX引用字典，归档所有有效信息 infordir = {} for index in range(len(result1)): infordir[result1[index]] = result2[index] return infordirdef inputBibTex(): """ 在这里输入BibTeX格式的文献引用信息 :return:提取出的BibTeX引用信息 """ bibtex = [] print("请输入BibTeX格式的文献引用：") i = 0 while i < 15: # 观察可知BibTeX格式的文献引用不会多于15行 lines = input() if len(lines) == 0: # 如果输入空行，则说明引用内容已经输入完毕 break else: bibtex.append(lines) i += 1 return inforDir("".join(bibtex))if __name__ == '__main__': bibInfo = inputBibTex() # 获得BibTeX格式的文献引用 print(getIeeeFormat(bibInfo)) # 输出ieee格式下面我来详细说说这个代码怎么使用。
首先，我们需要获取到文献的BibTeX引用格式，可以在百度学术，或者谷歌学术的应用栏中找到，例如这里以谷歌学术举例：
在搜索框搜索论文：Reinforcement learning to rank in e-commerce search engine: Formalization, analysis, and application，跳转到以下页面：
点击“引用”，再点击“BibTex”
跳转到以下页面，复制所有字符串
运行我们上面给出的代码，在交互窗口把我们复制的字符串粘贴过去：
之后点击两下回车，即可得到IEEE格式的文献引用了：
这里我分了会议论文和期刊论文种格式，大家如果想要其他引用格式，可以在我的代码的基础上进行增删改，下面我放一些引用格式转换的例子：
会议论文1：
Reinforcement learning to rank in e-commerce search engine: Formalization, analysis, and application
BibTeX格式：
@inproceedings{hu2018reinforcement,
title={Reinforcement learning to rank in e-commerce search engine: Formalization, analysis, and application},
author={Hu, Yujing and Da, Qing and Zeng, Anxiang and Yu, Yang and Xu, Yinghui},
booktitle={Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining},
pages={368–377},
year={2018}
}
IEEE格式：
Hu, Yujing and Da, Qing and Zeng, Anxiang and Yu, Yang and Xu, Yinghui, “Reinforcement learning to rank in e-commerce search engine: Formalization, analysis, and application,” , in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018, pp. 368-377.
会议论文2：
A contextual-bandit approach to personalized news article recommendation
BibTeX格式：
@inproceedings{li2010contextual,
title={A contextual-bandit approach to personalized news article recommendation},
author={Li, Lihong and Chu, Wei and Langford, John and Schapire, Robert E},
booktitle={Proceedings of the 19th international conference on World wide web},
pages={661–670},
year={2010}
}
IEEE格式：
Li, Lihong and Chu, Wei and Langford, John and Schapire, Robert E, “A contextual-bandit approach to personalized news article recommendation,” , in Proceedings of the 19th international conference on World wide web, 2010, pp. 661-670.
期刊论文1：
Infrared navigation-Part I: An assessment of feasibility
BibTeX格式：
@article{duncombe1959infrared,
title={Infrared navigation—Part I: An assessment of feasibility},
author={Duncombe, JU},
journal={IEEE Trans. Electron Devices},
volume={11},
number={1},
pages={34–39},
year={1959}
}
IEEE格式：
Duncombe, JU, “Infrared navigation—Part I: An assessment of feasibility,” IEEE Trans. Electron Devices, vol. 11, no. 1, pp. 34-39, 1959.
期刊论文2（arXiv）：
Reinforcement learning for slate-based recommender systems: A tractable decomposition and practical methodology
BibTeX格式：
@article{ie2019reinforcement,
title={Reinforcement learning for slate-based recommender systems: A tractable decomposition and practical methodology},
author={Ie, Eugene and Jain, Vihan and Wang, Jing and Narvekar, Sanmit and Agarwal, Ritesh and Wu, Rui and Cheng, Heng-Tze and Lustman, Morgane and Gatto, Vince and Covington, Paul and others},
journal={arXiv preprint arXiv:1905.12767},
year={2019}
}
IEEE格式：
Ie, Eugene and Jain, Vihan and Wang, Jing and Narvekar, Sanmit and Agarwal, Ritesh and Wu, Rui and Cheng, Heng-Tze and Lustman, Morgane and Gatto, Vince and Covington, Paul and others, “Reinforcement learning for slate-based recommender systems: A tractable decomposition and practical methodology,” arXiv preprint arXiv:1905.12767, 2019.
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