## 4 Conclusions  
This study presents a bibliometric, network-theoretic and text-based analysis of the design research area during the last 12-year period (2004-2015). Our work is the first in-depth study on keeping track of the current advances in the design research area by using text mining techniques. Furthermore, the result shows that the developed methods are universal and could be applied to manage the knowledge of various research fields. Additionally, text mining techniques used in this study could help researchers have a comprehensive understanding about the knowledge of a certain field hidden in a large amount of scientific literature. The clustering method provides an architecture overview of a certain field in more detail. Additionally, social network analysis further explores the core themes to help researchers with a better understanding of the development gain of a certain field.  
For further studies, we will apply the author-topic model, a probabilistic model to link authors to observed words in the scientific literature of the research fields (a case study of design research), which will provide a general framework for exploration, discovery and query-answering in the context of the relationships of author and topics.  
This study is partly supported by the National Natural Science Foundation of China (Grant Nos. 51405252, 61562072, 61303137, 61402141), and the Department of Science and Technology of Zhejiang Province (No. 2015C31051).  
**Author Contributions:** [PERSON] conducted the experiment and wrote the paper. [PERSON] offered useful suggestions for writing the paper.  
**Conflicts of Interest:** The authors declare no conflict of interest.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**No.** & **Journal** & **TA** & **ISSN** & **Impact Factor** & **Edition** \\ \hline
1 & Computers In Human Behavior & 2977 & 0747-5632 & 2.694 & SSCI \\
2 & Ergonomics & 1500 & 0014-0139 & 1.556 & SCIE and SSCI \\
3 & Applied Ergonomics & 1352 & 0003-6870 & 2.023 & SCIE and SSCI \\
4 & Computer-Aided Design & 1345 & 0010-4485 & 1.801 & SCIE \\
5 & International Journal Of Industrial & 1047 & 0619-8141 & 1.070 & SCIE and SSCI \\
6 & Human Factors & 847 & 0018-7208 & 1.290 & SCIE and SSCI \\
7 & International Journal Of Human-Computer & 800 & 1071-5819 & 1.293 & SCIE and SSCI \\
8 & Behavior\& Information & 698 & 0144-929X & 0.891 & SCIE and SSCI \\
9 & Interacting With Computers & 529 & 0953-5438 & 1.268 & SCIE and SSCI \\
10 & International Journal Of Human-Computer & 529 & 1044-7318 & 0.850 & SCIE and SSCI \\
11 & Journal Of Documentation & 487 & 0022-0418 & 0.43 & SSCI \\
12 & Journal Of Engineering Design & 392 & 0954-4828 & 1.036 & SCIE \\
14 & Design Studies & 359 & 0142-694X & 1.295 & SCIE \\
15 & Design Issues & 339 & 0747-9360 & - & - \\
16 & Computer Graphics Forum & 330 & 0167-7055 & 1.642 & SCIE \\
17 & Research In Engineering Design & 197 & 0934-9839 & 1.233 & SCIE \\
18 & International Journal Of Design & 190 & 1991-3761 & 0.732 & SCIE and SSCI \\
19 & Computers \& Geosciences & 173 & 0098-3004 & 2.054 & SCIE \\
20 & Information Visualization & 165 & 1473-8716 & 0.541 & SCIE \\
21 & Design Journal & 147 & - & - & - \\
22 & Journal Of Design History & 125 & 0952-4649 & - & - \\
23 & Computers In Industry & 112 & 0166-3615 & 1.287 & SCIE \\
24 & ACM Transactions On Computer-Human & 90 & 1073-0516 & 1.079 & SCIE \\
25 & Journal Of Visual Languages And & 77 & 1045-926X & 0.893 & SCIE \\ Computing & & & & & \\ \hline \hline \end{tabular} SSCI: Social Sciences Citation Index, SCIE: Science Citation Index Expanded.  
\end{table}
Table 2: Top 25 active journals in design research.