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 …

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 …

Detecting research topic trends by author-defined keyword frequency

W Lu, S Huang, J Yang, Y Bu, Q Cheng… - Information Processing & …, 2021 - Elsevier
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 …

Monolingual and multilingual topic analysis using LDA and BERT embeddings

Q Xie, X Zhang, Y Ding, M Song - Journal of Informetrics, 2020 - Elsevier
Analyzing research topics offers potential insights into the direction of scientific
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 …

Keyword-citation-keyword network: A new perspective of discipline knowledge structure analysis

Q Cheng, J Wang, W Lu, Y Huang, Y Bu - Scientometrics, 2020 - Springer
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 …

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 …

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 …

Metamorphic malware identification using engine-specific patterns based on co-opcode graphs

AG Kakisim, M Nar, I Sogukpinar - Computer Standards & Interfaces, 2020 - Elsevier
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 …

[HTML][HTML] Tracking knowledge evolution in cloud health care research: Knowledge map and common word analysis

D Gu, X Yang, S Deng, C Liang, X Wang, J Wu… - Journal of medical …, 2020 - jmir.org
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 …