The increasing demand for sustainable protein sources has stimulated growing scientific interest in edible insects as a promising component of future food systems. This study aimed to map the global research landscape and thematic development of edible insect-based product research. A bibliometric analysis was conducted using a Scopus-indexed dataset of 542 records (536 records classified by Scopus as Articles and 6 as Conference Papers) published from 2016 to 2025. Keyword co-occurrence analysis (Author + Index Keywords, minimum occurrence threshold = 5, n = 317 keywords and 14,221 co-occurrence links, with an explicit thesaurus applied to merge terminology variants) identified seven thematic clusters: (1) entomophagy, novel food, and consumer safety; (2) nutritional and compositional validation; (3) protein structural and functional properties; (4) taxon-specific protein sources; (5) bioactive compounds and enzymatic processing; (6) allergenicity and immunological safety; and (7) taxonomic and chemical characterization. Publications increased 16.6-fold between 2016 and 2025 (CAGR ≈ 36.6% year−1), led by South Korea (66 documents), Italy (53), China (48), the United States (41), and Poland (33). Mean citations per document varied across publication cohorts but generally declined toward the most recent years because of unequal citation windows, from 115.1 (2016) to 1.7 (2025), with a higher value in 2017 (195.9). Country-level network analysis shows the United States, Germany, and Italy occupy the strongest structural bridging positions, while South Korea, despite leading in publication volume, shows comparatively limited international-collaboration integration. Key gaps include the underrepresentation of Africa and Southeast Asia in the Scopus-indexed international record, limited independent allergenicity and immunological-safety vocabulary, and scarce techno-economic and large-scale processing evidence. These findings identify priorities for strengthening the safety, technological development, consumer relevance, and international collaboration of insect-based food research.
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
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This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
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This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.