自学教程：用Python代码自动生成文献的IEEE引用格式的实现

今天尝试着将引用文献的格式按照IEEE的标准重新排版，感觉手动一条一条改太麻烦，而且很容易出错，所以尝试着用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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