A systematic literature review of mining weak signals and trends for corporate foresight
C Mühlroth, M Grottke - Journal of Business Economics, 2018 - Springer
Due to the ever-growing amount of data, computer-aided methods and systems to detect
weak signals and trends for corporate foresight are in increasing demand. To this day, many …
weak signals and trends for corporate foresight are in increasing demand. To this day, many …
Visualizing the intellectual structure and evolution of electronic health and telemedicine research
D Gu, T Li, X Wang, X Yang, Z Yu - International journal of medical …, 2019 - Elsevier
Background In recent years, the development and application of emerging information
technologies, such as artificial intelligence, cloud computing, Internet of Things, and …
technologies, such as artificial intelligence, cloud computing, Internet of Things, and …
Detecting research topic trends by author-defined keyword frequency
Detecting research trends helps researchers and decision makers to promptly identify and
analyze research topics. However, due to citation and publication delay, previous studies on …
analyze research topics. However, due to citation and publication delay, previous studies on …
Monolingual and multilingual topic analysis using LDA and BERT embeddings
Analyzing research topics offers potential insights into the direction of scientific
development. In particular, analyzing multilingual research topics can help researchers …
development. In particular, analyzing multilingual research topics can help researchers …
TrendNets: mapping emerging research trends from dynamic co-word networks via sparse representation
M Katsurai, S Ono - Scientometrics, 2019 - Springer
Mapping the knowledge structure from word co-occurrences in a collection of academic
papers has been widely used to provide insight into the topic evolution in an arbitrary …
papers has been widely used to provide insight into the topic evolution in an arbitrary …
Keyword-citation-keyword network: A new perspective of discipline knowledge structure analysis
This paper proposes keyword-citation-keyword (KCK) network to analyze the knowledge
structure of a discipline. Different from traditional co-word network analysis, KCK network …
structure of a discipline. Different from traditional co-word network analysis, KCK network …
Revealing the technology development of natural language processing: A Scientific entity-centric perspective
H Zhang, C Zhang, Y Wang - Information Processing & Management, 2024 - Elsevier
Most studies on technology development have been conducted from a thematic perspective,
but the topics are coarse-grained and insufficient to accurately represent technology. The …
but the topics are coarse-grained and insufficient to accurately represent technology. The …
Identification of topic evolution: network analytics with piecewise linear representation and word embedding
L Huang, X Chen, Y Zhang, C Wang, X Cao, J Liu - scientometrics, 2022 - Springer
Understanding the evolutionary relationships among scientific topics and learning the
evolutionary process of innovations is a crucial issue for strategic decision makers in …
evolutionary process of innovations is a crucial issue for strategic decision makers in …
Metamorphic malware identification using engine-specific patterns based on co-opcode graphs
A metamorphic virus is a type of malware that modifies its code using a morphing engine.
Morphing engines are used to generate a large number of metamorphic malware variants by …
Morphing engines are used to generate a large number of metamorphic malware variants by …
[HTML][HTML] Tracking knowledge evolution in cloud health care research: Knowledge map and common word analysis
Background With the continuous development of the internet and the explosive growth in
data, big data technology has emerged. With its ongoing development and application …
data, big data technology has emerged. With its ongoing development and application …