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:
Using Machine Learning for Labour Market Intelligence
Roberto Boselli, Mirko Cesarini, Fabio Mercorio, et al.
Lecture notes in computer science (2017), pp. 330-342
Closed Access | Times Cited: 36
Roberto Boselli, Mirko Cesarini, Fabio Mercorio, et al.
Lecture notes in computer science (2017), pp. 330-342
Closed Access | Times Cited: 36
Showing 1-25 of 36 citing articles:
AI meets labor market: Exploring the link between automation and skills
Emilio Colombo, Fabio Mercorio, Mario Mezzanzanica
Information Economics and Policy (2019) Vol. 47, pp. 27-37
Closed Access | Times Cited: 120
Emilio Colombo, Fabio Mercorio, Mario Mezzanzanica
Information Economics and Policy (2019) Vol. 47, pp. 27-37
Closed Access | Times Cited: 120
Extracting Knowledge From On-Line Sources for Software Engineering Labor Market: A Mapping Study
Μαρία Παπουτσόγλου, Apostolos Ampatzoglou, Nikolaos Mittas, et al.
IEEE Access (2019) Vol. 7, pp. 157595-157613
Open Access | Times Cited: 55
Μαρία Παπουτσόγλου, Apostolos Ampatzoglou, Nikolaos Mittas, et al.
IEEE Access (2019) Vol. 7, pp. 157595-157613
Open Access | Times Cited: 55
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
Skills in demand for ICT and statistical occupations: Evidence from web‐based job vacancies
Pietro Giorgio Lovaglio, Mirko Cesarini, Fabio Mercorio, et al.
Statistical Analysis and Data Mining The ASA Data Science Journal (2018) Vol. 11, Iss. 2, pp. 78-91
Open Access | Times Cited: 59
Pietro Giorgio Lovaglio, Mirko Cesarini, Fabio Mercorio, et al.
Statistical Analysis and Data Mining The ASA Data Science Journal (2018) Vol. 11, Iss. 2, pp. 78-91
Open Access | Times Cited: 59
Enhancing Skills Demand Understanding through Job Ad Segmentation Using NLP and Clustering Techniques
Mantas Lukauskas, Viktorija Šarkauskaitė, Vaida Pilinkienė, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6119-6119
Open Access | Times Cited: 11
Mantas Lukauskas, Viktorija Šarkauskaitė, Vaida Pilinkienė, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6119-6119
Open Access | Times Cited: 11
Natural Language Processing Techniques to Identify Work Profiles from Online Job Postings
Alejandro Ferreira, Walter Gómez, Ingrid Grünewald
Communications in computer and information science (2025), pp. 392-406
Closed Access
Alejandro Ferreira, Walter Gómez, Ingrid Grünewald
Communications in computer and information science (2025), pp. 392-406
Closed Access
Market-oriented job skill valuation with cooperative composition neural network
Ying Sun, Fuzhen Zhuang, Hengshu Zhu, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 26
Ying Sun, Fuzhen Zhuang, Hengshu Zhu, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 26
LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models
Nan Li, Bo Kang, Tijl De Bie
Knowledge-Based Systems (2025), pp. 113302-113302
Open Access
Nan Li, Bo Kang, Tijl De Bie
Knowledge-Based Systems (2025), pp. 113302-113302
Open Access
Transforming Naturally Occurring Text Data Into Economic Statistics: The Case of Online Job Vacancy Postings
Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, et al.
(2019)
Open Access | Times Cited: 27
Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, et al.
(2019)
Open Access | Times Cited: 27
GraphLMI: A data driven system for exploring labor market information through graph databases
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, et al.
Multimedia Tools and Applications (2020) Vol. 81, Iss. 3, pp. 3061-3090
Closed Access | Times Cited: 26
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, et al.
Multimedia Tools and Applications (2020) Vol. 81, Iss. 3, pp. 3061-3090
Closed Access | Times Cited: 26
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
Implementing AIRM: a new AI recruiting model for the Saudi Arabia labour market
Monirah Ali Aleisa, Natalia Beloff, Martin White
Journal of Innovation and Entrepreneurship (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 7
Monirah Ali Aleisa, Natalia Beloff, Martin White
Journal of Innovation and Entrepreneurship (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 7
Machine Learning and Knowledge Discovery in Databases
Michelangelo Ceci, Jaakko Hollmén, Ljupčo Todorovski, et al.
Lecture notes in computer science (2017)
Closed Access | Times Cited: 24
Michelangelo Ceci, Jaakko Hollmén, Ljupčo Todorovski, et al.
Lecture notes in computer science (2017)
Closed Access | Times Cited: 24
GraphDBLP: a system for analysing networks of computer scientists through graph databases
Mario Mezzanzanica, Fabio Mercorio, Mirko Cesarini, et al.
Multimedia Tools and Applications (2018) Vol. 77, Iss. 14, pp. 18657-18688
Closed Access | Times Cited: 21
Mario Mezzanzanica, Fabio Mercorio, Mirko Cesarini, et al.
Multimedia Tools and Applications (2018) Vol. 77, Iss. 14, pp. 18657-18688
Closed Access | Times Cited: 21
Application of Natural Language Processing and Genetic Algorithm to Fine-Tune Hyperparameters of Classifiers for Economic Activities Analysis
Ivan Malashin, Igor Masich, В С Тынченко, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 6, pp. 68-68
Open Access | Times Cited: 2
Ivan Malashin, Igor Masich, В С Тынченко, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 6, pp. 68-68
Open Access | Times Cited: 2
Using Job Vacancies to Understand the Effects of Labour Market Mismatch on UK Output and Productivity
Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, et al.
SSRN Electronic Journal (2018)
Closed Access | Times Cited: 20
Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, et al.
SSRN Electronic Journal (2018)
Closed Access | Times Cited: 20
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
Employing Natural Language Processing Techniques for Online Job Vacancies Classification
George Varelas, Dimitris Lagios, Spyros Ntouroukis, et al.
IFIP advances in information and communication technology (2022), pp. 333-344
Closed Access | Times Cited: 9
George Varelas, Dimitris Lagios, Spyros Ntouroukis, et al.
IFIP advances in information and communication technology (2022), pp. 333-344
Closed Access | Times Cited: 9
WETA: Automatic taxonomy alignment via word embeddings
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, et al.
Computers in Industry (2022) Vol. 138, pp. 103626-103626
Closed Access | Times Cited: 9
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, et al.
Computers in Industry (2022) Vol. 138, pp. 103626-103626
Closed Access | Times Cited: 9
Experimental Comparison of Unsupervised Approaches in the Task of Separating Specializations Within Professions in Job Vacancies
Mikhail Vinel, Ivan Ryazanov, Dmitriy Botov, et al.
Communications in computer and information science (2019), pp. 99-112
Closed Access | Times Cited: 13
Mikhail Vinel, Ivan Ryazanov, Dmitriy Botov, et al.
Communications in computer and information science (2019), pp. 99-112
Closed Access | Times Cited: 13
What are the digital skills sought by scientific employers in potential candidates?
Guangyao Zhang, Lili Wang, Furong Shang, et al.
Journal of Higher Education Policy and Management (2024), pp. 1-18
Closed Access | Times Cited: 1
Guangyao Zhang, Lili Wang, Furong Shang, et al.
Journal of Higher Education Policy and Management (2024), pp. 1-18
Closed Access | Times Cited: 1
Two Stage Job Title Identification System for Online Job Advertisements
Ibrahim Rahhal, Kathleen M. Carley, Ismail Kassou, et al.
IEEE Access (2023) Vol. 11, pp. 19073-19092
Open Access | Times Cited: 3
Ibrahim Rahhal, Kathleen M. Carley, Ismail Kassou, et al.
IEEE Access (2023) Vol. 11, pp. 19073-19092
Open Access | Times Cited: 3
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
Big Data Enables Labor Market Intelligence
Mario Mezzanzanica, Fabio Mercorio
Encyclopedia of Big Data Technologies (2019), pp. 226-236
Closed Access | Times Cited: 6
Mario Mezzanzanica, Fabio Mercorio
Encyclopedia of Big Data Technologies (2019), pp. 226-236
Closed Access | Times Cited: 6
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: 2
Ivan Nikolaev
Business Informatics (2023) Vol. 17, Iss. 2, pp. 71-84
Open Access | Times Cited: 2
