CSCD 2021

2023-03-20 06:44| 来源: 网络整理| 查看: 265

想查看CSCD的排序，官方没有，所以就根据所有期刊名称，在知网查影响因子，然后给出排序！

想发牛逼的期刊就从前往后找，想发水刊就从后往前找！

【CSCD 2021-2022 原始期刊列表】

http://sciencechina.cn/style/sourcelist21_22.pdf

中国科学引文数据库来源期刊列表（2021-2022 年度）

附上排序后的excel结果（仅针对中文期刊）：https://docs.qq.com/sheet/DV2NSSmdXWXRBdU1lhttps://docs.qq.com/sheet/DV2NSSmdXWXRBdU1l

【操作步骤】

1、将CSCD期刊PDF转为excel

（在线工具：PDF转Excel——免费在线PDF转换成Excel转换器）

2、读取excel获取期刊名称

3、根据期刊名称去知网查影响因子

4、保存所有数据到excel

5、对excel排序

python 代码如下：

import requests from bs4 import BeautifulSoup from urllib.parse import quote import pandas as pd from time import sleep #删除空白字符 def Delnone(string): string = string.replace(" ", "") string = string.replace("\n", "") return string def ContainEnglish(string): import re return bool(re.search('[a-z]', string)) if __name__ == '__main__': writer = pd.ExcelWriter("./中文cscd影响因子.xls") # 设置保存Excel 路径 #读取CSCD - Excel的名字与基本信息 df = pd.read_excel("cscd.xlsx") # print(df.head()) all_table = [] #保存所有数据 all_table.append(["期刊名称", "ISSN", "备注", "复合影响因子", "综合影响因子"]) #遍历所有title，查找影响因子 for i in range(df.shape[0]): title = df.ix[i].values[2] ISSN = df.ix[i].values[3] remark = df.ix[i].values[4] #排除英文期刊 if ContainEnglish(str(title)) == True: # print(title) continue #删除空白行 if str(remark) != "核心库" and str(remark) != "扩展库": continue if "." in title: title = title.replace(". ","(") title += ")" #请求网页设置 # title = "自动化学报" url = "https://navi.cnki.net/knavi/journals/searchbaseinfo" post_data = "searchStateJson=%7B%22StateID%22%3A%22%22%2C%22Platfrom%22%3A%22%22%2C%22QueryTime%22%3A%22%22%2C%22Account%22%3A%22knavi%22%2C%22ClientToken%22%3A%22%22%2C%22Language%22%3A%22%22%2C%22CNode%22%3A%7B%22PCode%22%3A%22JOURNAL%22%2C%22SMode%22%3A%22%22%2C%22OperateT%22%3A%22%22%7D%2C%22QNode%22%3A%7B%22SelectT%22%3A%22%22%2C%22Select_Fields%22%3A%22%22%2C%22S_DBCodes%22%3A%22%22%2C%22QGroup%22%3A%5B%7B%22Key%22%3A%22subject%22%2C%22Logic%22%3A1%2C%22Items%22%3A%5B%5D%2C%22ChildItems%22%3A%5B%7B%22Key%22%3A%22txt%22%2C%22Logic%22%3A1%2C%22Items%22%3A%5B%7B%22Key%22%3A%22txt_1%22%2C%22Title%22%3A%22%22%2C%22Logic%22%3A1%2C%22Name%22%3A%22TI%22%2C%22Operate%22%3A%22%25%22%2C%22Value%22%3A%22'"\ +quote(title)+\ "'%22%2C%22ExtendType%22%3A0%2C%22ExtendValue%22%3A%22%22%2C%22Value2%22%3A%22%22%7D%5D%2C%22ChildItems%22%3A%5B%5D%7D%5D%7D%5D%2C%22OrderBy%22%3A%22OTA%7CDESC%22%2C%22GroupBy%22%3A%22%22%2C%22Additon%22%3A%22%22%7D%7D&displaymode=1&pageindex=1&pagecount=21&index=subject&searchType=%E5%88%8A%E5%90%8D(%E6%9B%BE%E7%94%A8%E5%88%8A%E5%90%8D)&clickName=&switchdata=search&random=0.6063051741632248" headers = { "User-Agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 13_2_3 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/13.0.3 Mobile/15E148 Safari/604.1", "Content-Type": "application/x-www-form-urlencoded", } #获取网页 res = requests.post(url,data=post_data,headers=headers) cont = res.text #解析网页 soup = BeautifulSoup(cont, 'html.parser') #得到影响因子 detial_list = soup.find_all("div",{"class":"detials"}) if len(detial_list) == 0: print("知网无信息：", title) continue IS_nodata = False #遍历搜索结果 for j in range(len(detial_list)): first = detial_list[j] first_title = first.find("h1").text first_title = Delnone(first_title) # print(first_title) if first_title == title: print("查找成功：",title) IF = first.find_all("p") IF1 = Delnone(IF[0].text)[7:] #复合影响因子 IF2 = Delnone(IF[1].text)[7:] #综合影响因子 print(IF1) print(IF2) break else: if j == len(detial_list)-1 and len(detial_list) > 1: print("查找error：", title) IS_nodata = True if IS_nodata == True: continue all_table.append([title,ISSN,remark,IF1,IF2]) # sleep(1) #保存所有数据为Excel all_table = pd.DataFrame(all_table) all_table.to_excel(writer, index=False) writer.save()

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