Artificial Intelligence in the 21st Century
The field of artificial intelligence (AI) has shown an upward trend of growth in the 21st century (from 2000 to 2015). The evolution in AI has advanced the development of human society in our own time, with dramatic revolutions shaped by both theories and techniques. However, the multidisciplinary a...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8325446/ |
| _version_ | 1818853854097178624 |
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| author | Jiaying Liu Xiangjie Kong Feng Xia Xiaomei Bai Lei Wang Qing Qing Ivan Lee |
| author_facet | Jiaying Liu Xiangjie Kong Feng Xia Xiaomei Bai Lei Wang Qing Qing Ivan Lee |
| author_sort | Jiaying Liu |
| collection | DOAJ |
| description | The field of artificial intelligence (AI) has shown an upward trend of growth in the 21st century (from 2000 to 2015). The evolution in AI has advanced the development of human society in our own time, with dramatic revolutions shaped by both theories and techniques. However, the multidisciplinary and fast-growing features make AI a field in which it is difficult to be well understood. In this paper, we study the evolution of AI at the beginning of the 21st century using publication metadata extracted from 9 top-tier journals and 12 top-tier conferences of this discipline. We find that the area is in the sustainable development and its impact continues to grow. From the perspective of reference behavior, the decrease in self-references indicates that the AI is becoming more and more open-minded. The influential papers/researchers/institutions we identified outline landmarks in the development of this field. Last but not least, we explore the inner structure in terms of topics' evolution over time. We have quantified the temporal trends at the topic level and discovered the inner connection among these topics. These findings provide deep insights into the current scientific innovations, as well as shedding light on funding policies. |
| first_indexed | 2024-12-19T07:43:25Z |
| format | Article |
| id | doaj.art-2f718aadff744e43bfb7b1bca646c9ea |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T07:43:25Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2f718aadff744e43bfb7b1bca646c9ea2022-12-21T20:30:24ZengIEEEIEEE Access2169-35362018-01-016344033442110.1109/ACCESS.2018.28196888325446Artificial Intelligence in the 21st CenturyJiaying Liu0Xiangjie Kong1https://orcid.org/0000-0003-2698-3319Feng Xia2https://orcid.org/0000-0002-8324-1859Xiaomei Bai3https://orcid.org/0000-0001-9826-4802Lei Wang4Qing Qing5Ivan Lee6Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian, ChinaKey Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian, ChinaKey Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian, ChinaComputing Center, Anshan Normal University, Anshan, ChinaKey Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian, ChinaKey Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian, ChinaSchool of Information Technology and Mathematical Sciences, University of South Australia, Adelaide, SA, AustraliaThe field of artificial intelligence (AI) has shown an upward trend of growth in the 21st century (from 2000 to 2015). The evolution in AI has advanced the development of human society in our own time, with dramatic revolutions shaped by both theories and techniques. However, the multidisciplinary and fast-growing features make AI a field in which it is difficult to be well understood. In this paper, we study the evolution of AI at the beginning of the 21st century using publication metadata extracted from 9 top-tier journals and 12 top-tier conferences of this discipline. We find that the area is in the sustainable development and its impact continues to grow. From the perspective of reference behavior, the decrease in self-references indicates that the AI is becoming more and more open-minded. The influential papers/researchers/institutions we identified outline landmarks in the development of this field. Last but not least, we explore the inner structure in terms of topics' evolution over time. We have quantified the temporal trends at the topic level and discovered the inner connection among these topics. These findings provide deep insights into the current scientific innovations, as well as shedding light on funding policies.https://ieeexplore.ieee.org/document/8325446/Artificial intelligencedata analyticsscientific impactscience of sciencedata science |
| spellingShingle | Jiaying Liu Xiangjie Kong Feng Xia Xiaomei Bai Lei Wang Qing Qing Ivan Lee Artificial Intelligence in the 21st Century IEEE Access Artificial intelligence data analytics scientific impact science of science data science |
| title | Artificial Intelligence in the 21st Century |
| title_full | Artificial Intelligence in the 21st Century |
| title_fullStr | Artificial Intelligence in the 21st Century |
| title_full_unstemmed | Artificial Intelligence in the 21st Century |
| title_short | Artificial Intelligence in the 21st Century |
| title_sort | artificial intelligence in the 21st century |
| topic | Artificial intelligence data analytics scientific impact science of science data science |
| url | https://ieeexplore.ieee.org/document/8325446/ |
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