Abstract:

This paper discusses the Chinese scientific neologisms based on the academic literature database of CNKI by use of the word frequency statistics considering time parameter. The author propose that important Chinese scientific terms are included in the keywords of highly cited papers, and our statistical results show that the most of highly cited papers are funded papers. So, most of important Chinese scientific neologisms can be found by term frequency statistics based on the keywords of funded papers. Considering the proportion of funded papers is relatively small, we think this method can reduce the workload and blindness.

Key words: big data, bibliometrics, funded paper, word frequency statistics, Chinese scientific neologism