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OpenAlex Citation Counts

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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:

How to succeed in the market? Predicting startup success using a machine learning approach
Jongwoo Kim, Hongil Kim, Youngjung Geum
Technological Forecasting and Social Change (2023) Vol. 193, pp. 122614-122614
Closed Access | Times Cited: 18

Showing 18 citing articles:

Beyond local boundaries: Unraveling the spatiality of entrepreneurial ecosystems
Susann Schäfer, Bruno Brandão Fischer, Paola Rücker Schaeffer, et al.
Journal of Business Venturing Insights (2024) Vol. 22, pp. e00478-e00478
Closed Access | Times Cited: 12
How to achieve the high‐quality development of SRDI enterprises? Evidence from machine learning
Guimin Qu, Jingkun Bai
Managerial and Decision Economics (2024) Vol. 45, Iss. 4, pp. 2023-2041
Closed Access | Times Cited: 5
Machine learning in industrialization: a bibliometric analysis
Guillermo Alexander Loayza-Delgado, Xiomara Luciana Tejada-Montalvo, María Fernanda Carnero Quispe, et al.
DYNA (2025) Vol. 92, Iss. 235, pp. 28-37
Open Access
To Shine or Not to Shine: Startup Success Prediction by Exploiting Technological and Venture-Capital-Related Features
Chih‐Ping Wei, Eric Fang, Chin‐Sheng Yang, et al.
Information & Management (2025), pp. 104152-104152
Closed Access
Citations or dollars? Early signals of a firm’s research success
Shuqi Xu, Manuel Sebastian Mariani, Linyuan Lü, et al.
Technological Forecasting and Social Change (2024) Vol. 201, pp. 123208-123208
Open Access | Times Cited: 2
Machine learning-based method to cluster a converging technology system: The case of printed electronics
Annika Wambsganss, Laura Tomidei, Nathalie Sick, et al.
World Patent Information (2024) Vol. 78, pp. 102301-102301
Open Access | Times Cited: 2
Understanding trends, patterns, and dynamics in global company acquisitions: a network perspective
Ghazal Kalhor, Behnam Bahrak
EPJ Data Science (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Examining the Role of Advertising to Promote a Startup Business

International Research Journal of Modernization in Engineering Technology and Science (2024)
Open Access
Deep Learning to Predict Start-Up Business Success
Lobna Hsairi
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access
Cost-Sensitive Ensemble Learning for Venture Capital Exit Prediction
Heng Fang, Ding Ma
(2024), pp. 161-167
Closed Access
Unlocking machine learning for social sciences: The case for identifying Industry 4.0 adoption across business restructuring events
Fabio Lamperti
Technological Forecasting and Social Change (2024) Vol. 207, pp. 123627-123627
Open Access
Learning from Yesterday: Predicting early-stage startup success for accelerators through content and cohort dynamics
Yisheng Li, Iman Zadehnoori, Ahmad Jowhar, et al.
Journal of Business Venturing Insights (2024) Vol. 22, pp. e00490-e00490
Closed Access
Predicting the success of startups using a machine learning approach
Mona Razaghzadeh Bidgoli, Iman Raeesi Vanani, Mehdi Goodarzi
Journal of Innovation and Entrepreneurship (2024) Vol. 13, Iss. 1
Open Access
Impact of entrepreneurs' prior experience on their new ventures' early-stage performance: the mediation effect of entrepreneurial mindset level
S.F. Chen, Zhong Lian, Xiao Wang, et al.
Frontiers in Organizational Psychology (2024) Vol. 2
Open Access
Drivers of Valuations of Entrepreneurial Ventures
Benedetta Montanaro
(2024), pp. 1-5
Closed Access
Predicting Startup Exit Strategies with Ensemble Machine Learning
Maheswara Reddy, Geetika Vadali, Garima Jaiswal, et al.
Communications in computer and information science (2024), pp. 407-416
Closed Access
Improving the Conditions for Business Startups in the Republic of Serbia
Biljana Ilić, Gordana Đukić
Advances in business strategy and competitive advantage book series (2023), pp. 50-71
Closed Access | Times Cited: 1
Forecasting innovative start-ups through automatic variable selection and MIDAS regressions
Consuelo Rubina Nava, Luigi Riso, Maria Grazia Zoia
Economics of Innovation and New Technology (2023) Vol. 33, Iss. 8, pp. 1179-1213
Closed Access
The Origins of /h/-Final Nouns in Middle Korean
Taewoo Kim
Lanaguage Research (2023) Vol. 59, Iss. 3, pp. 271-291
Open Access
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