[High-frequency hot topics of the year].
From 2021 to 2023, the top 20 keywords with the highest frequency in the discipline of "traditional Chinese medicine" are: cyberpharmacology;Traditional Chinese Medicine;Famous Doctor Experience;Acupuncture;Mechanism of action;Data Mining;Chemical Composition;Molecular docking;rats;Traditional Chinese Medicine;Review;Acupuncture;Content determination;Medication regularity;Oxidative stress;Traditional Chinese Medicine;Clinical efficacy;Apoptosis;High Performance Liquid Chromatography;Apoptosis. Among them, the keywords of "network pharmacology, famous doctor experience, acupuncture, and traditional Chinese medicine" have the highest popularity over the years, with a frequency of more than 464, as shown in Figure 1 below.
Figure 1"Traditional Chinese Medicine"Subject: 2021-2023 high-frequency topics.
The detailed distribution frequency of hot topics over the years is shown in Table 1 below.
Table I"Traditional Chinese Medicine"The distribution frequency of high-frequency topics in the calendar year from 2021 to 2023.
Data**: www**2013.com）
From 2021 to 2023, the top 20 hot topics in the discipline of "Traditional Chinese Medicine" involve a total of 799188 academic articles, which are distributed in Table 2 below.
Table II"The distribution of high-frequency topics in the discipline of "Traditional Chinese Medicine" from 2021 to 2023.
Data**: www**2013.com）
Topic annual distribution trend].
From 2021 to 2023, the annual distribution frequency of high-frequency topics in the discipline of "Traditional Chinese Medicine" is as follows.
Table IV. 
Table III"Traditional Chinese Medicine"The annual distribution trend of hot topics from 2021 to 2023.
Data**: www**2013.com）
Table IV"Traditional Chinese Medicine"The annual popularity distribution trend of hot topics in the discipline from 2021 to 2023.
Data**: www**2013.com）
From 2021 to 2023, among the top 20 hot topics in the discipline of "traditional Chinese medicine", the frequency of keywords such as "network pharmacology, traditional Chinese medicine, famous doctor experience, acupuncture, mechanism of action, data mining, chemical composition, molecular docking, rat, traditional Chinese medicine, review, acupuncture, content determination, medication rules, oxidative stress, traditional Chinese medicine**, clinical efficacy, apoptosis, high performance liquid chromatography, apoptosis" and other keywords showed an overall downward trend, and "network pharmacology, rats, famous doctor experience" The keyword "cyberpharmacology" will be at its peak in 2021 and fall to the trough in 2023The keyword "rat" was at its peak in 2021 and fell to the trough in 2023;The keyword "famous doctor experience" was at its peak in 2021 and fell to the trough in 2022;The distribution curve is shown in Fig.
2. Figure 3:
Figure II"Traditional Chinese Medicine"Frequency distribution curve of hot topics from 2021 to 2023
Figure III"Traditional Chinese Medicine"The distribution curve of hot topics from 2021 to 2023.
Analysis of topic co-occurrence relationship].
Topic co-occurrence refers to the phenomenon of two topics appearing in the same article at the same time. The frequency of co-occurrence of two topics reflects the strength of their co-occurrence.
From 2021 to 2023, the overall co-occurrence of high-frequency topics in the discipline of "Traditional Chinese Medicine" is shown in Figure 4 below.
Figure IV"Traditional Chinese Medicine"The co-occurrence relationship of hot topics in the discipline from 2021 to 2023.
The details of the co-occurrence frequency of each topic are shown in Table 5 below.
Table V"Traditional Chinese Medicine"The frequency of hot topics in the discipline from 2021 to 2023.
Data**: www**2013.com）
Among them, the 10 groups of topics with the highest frequency are combined in Table 6 below.
Table VI"Traditional Chinese Medicine"Keywords pairs of high-frequency co-occurrence topics from 2021 to 2023.
Data**: www**2013.com）
Topic word cloud map distribution].
Figure 5 Distribution of topic word clouds (data**: www.).**2013.com）
Topic distribution in the subject].
Fig. 6 Distribution of topics in disciplines (data**: www.).**2013.com）
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