OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
NEO: A Tool for Taxonomy Enrichment with New Emerging Occupations
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, et al.
Lecture notes in computer science (2020), pp. 568-584
Closed Access | Times Cited: 18
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, et al.
Lecture notes in computer science (2020), pp. 568-584
Closed Access | Times Cited: 18
Showing 18 citing articles:
Skills2Job: A recommender system that encodes job offer embeddings on graph databases
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, et al.
Applied Soft Computing (2020) Vol. 101, pp. 107049-107049
Closed Access | Times Cited: 52
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, et al.
Applied Soft Computing (2020) Vol. 101, pp. 107049-107049
Closed Access | Times Cited: 52
Changing Job Skills in a Changing World
Joanna Napierała, Vladimír Kvetan
Springer eBooks (2023), pp. 243-259
Closed Access | Times Cited: 11
Joanna Napierała, Vladimír Kvetan
Springer eBooks (2023), pp. 243-259
Closed Access | Times Cited: 11
Digital Requirements for Systems Analysts in Europe: A Sectoral Analysis of Online Job Advertisements and ESCO Skills
Konstantinos Charmanas, Konstantinos Georgiou, Nikolaos Mittas, et al.
Information (2025) Vol. 16, Iss. 5, pp. 363-363
Open Access
Konstantinos Charmanas, Konstantinos Georgiou, Nikolaos Mittas, et al.
Information (2025) Vol. 16, Iss. 5, pp. 363-363
Open Access
ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, et al.
Cognitive Computation (2022) Vol. 15, Iss. 2, pp. 613-644
Closed Access | Times Cited: 18
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, et al.
Cognitive Computation (2022) Vol. 15, Iss. 2, pp. 613-644
Closed Access | Times Cited: 18
A Fistful of Vectors: A Tool for Intrinsic Evaluation of Word Embeddings
Roberto Ascari, Anna Giabelli, Lorenzo Malandri, et al.
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 949-963
Closed Access | Times Cited: 3
Roberto Ascari, Anna Giabelli, Lorenzo Malandri, et al.
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 949-963
Closed Access | Times Cited: 3
MEET-LM: A method for embeddings evaluation for taxonomic data in the labour market
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, et al.
Computers in Industry (2020) Vol. 124, pp. 103341-103341
Closed Access | Times Cited: 25
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, et al.
Computers in Industry (2020) Vol. 124, pp. 103341-103341
Closed Access | Times Cited: 25
Embeddings Evaluation Using a Novel Measure of Semantic Similarity
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, et al.
Cognitive Computation (2022) Vol. 14, Iss. 2, pp. 749-763
Closed Access | Times Cited: 9
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, et al.
Cognitive Computation (2022) Vol. 14, Iss. 2, pp. 749-763
Closed Access | Times Cited: 9
NEO: A System for Identifying New Emerging Occupation from Job Ads
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 18, pp. 16035-16037
Open Access | Times Cited: 8
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 18, pp. 16035-16037
Open Access | Times Cited: 8
TaxoRef: Embeddings Evaluation for AI-driven Taxonomy Refinement
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, et al.
Lecture notes in computer science (2021), pp. 612-627
Closed Access | Times Cited: 7
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, et al.
Lecture notes in computer science (2021), pp. 612-627
Closed Access | Times Cited: 7
Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, et al.
(2021), pp. 4984-4987
Open Access | Times Cited: 5
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, et al.
(2021), pp. 4984-4987
Open Access | Times Cited: 5
SeNSe: embedding alignment via semantic anchors selection
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, et al.
International Journal of Data Science and Analytics (2024)
Closed Access
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, et al.
International Journal of Data Science and Analytics (2024)
Closed Access
Automated taxonomy alignment via large language models: bridging the gap between knowledge domains
Wentao Cui, Meng Xiao, Ludi Wang, et al.
Scientometrics (2024) Vol. 129, Iss. 9, pp. 5287-5312
Closed Access
Wentao Cui, Meng Xiao, Ludi Wang, et al.
Scientometrics (2024) Vol. 129, Iss. 9, pp. 5287-5312
Closed Access
An intelligent method for generating a list of job profile requirements based on neural network language models using ESCO taxonomy and online job corpus
Ivan Nikolaev
Business Informatics (2023) Vol. 17, Iss. 2, pp. 71-84
Open Access | Times Cited: 1
Ivan Nikolaev
Business Informatics (2023) Vol. 17, Iss. 2, pp. 71-84
Open Access | Times Cited: 1
JAMES: Normalizing Job Titles with Multi-Aspect Graph Embeddings and Reasoning
Michiharu Yamashita, Jia Tracy Shen, Thanh Tran, et al.
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2023), pp. 1-10
Open Access | Times Cited: 1
Michiharu Yamashita, Jia Tracy Shen, Thanh Tran, et al.
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2023), pp. 1-10
Open Access | Times Cited: 1
A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text
Andrea Seveso, Fabio Mercorio, Mario Mezzanzanica
(2021), pp. 4917-4918
Open Access | Times Cited: 3
Andrea Seveso, Fabio Mercorio, Mario Mezzanzanica
(2021), pp. 4917-4918
Open Access | Times Cited: 3
Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract)
Andrea Seveso, Anna Giabelli, Lorenzo Malandri, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 18, pp. 15885-15886
Open Access | Times Cited: 1
Andrea Seveso, Anna Giabelli, Lorenzo Malandri, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 18, pp. 15885-15886
Open Access | Times Cited: 1
How do we SEE digital platform workers’ skill patterns? Evidence from South-Eastern Europe
Vladan Ivanović, Branka Andjelkovic, Tanja Jakobi, et al.
Psihologija (2023) Vol. 56, Iss. 3, pp. 261-281
Open Access
Vladan Ivanović, Branka Andjelkovic, Tanja Jakobi, et al.
Psihologija (2023) Vol. 56, Iss. 3, pp. 261-281
Open Access
Big Data as Fuel of Skill Intelligence
Mario Mezzanzanica, Fabio Mercorio
Encyclopedia of Big Data Technologies (2012), pp. 1-14
Closed Access
Mario Mezzanzanica, Fabio Mercorio
Encyclopedia of Big Data Technologies (2012), pp. 1-14
Closed Access
