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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:

The value of publicly available, textual and non-textual information for startup performance prediction
Ulrich Kaiser, Johan Moritz Kuhn
Journal of Business Venturing Insights (2020) Vol. 14, pp. e00179-e00179
Open Access | Times Cited: 17

Showing 17 citing articles:

Scaling‐up: Building, Leading and Sustaining Rapid Growth Over Time
Justin J.P. Jansen, Ciarán Heavey, Tom Mom, et al.
Journal of Management Studies (2023) Vol. 60, Iss. 3, pp. 581-604
Open Access | Times Cited: 41
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
Modeling the Resilience of Startups in the COVID-19 Pandemic Using the System Dynamics Approach
Mahdi Homayounfar, Faezeh Kamali-Chirani, Adel Pourghader Chobar, et al.
Journal of Safety Science and Resilience (2025)
Open Access
Trundlers and Flyers: Reflections on Storey's Contributions to Entrepreneurship
Alex Coad, Kejia Sheng
(2025), pp. 45-58
Closed Access
David Storey’s Contribution to Enterprise Policy: The Challenge of Stimulating the “Right” Type of Entrepreneurship
Marcus Dejardin, André van Stel
(2025), pp. 99-126
Closed Access
A field guide for gazelle hunters: Small, old firms are unlikely to become high-growth firms
Alex Coad, Johan Karlsson
Journal of Business Venturing Insights (2021) Vol. 17, pp. e00286-e00286
Open Access | Times Cited: 18
Ex Ante Predictability of Rapid Growth: A Design Science Approach
Ari Hyytinen, Petri Rouvinen, Mika Pajarinen, et al.
Entrepreneurship Theory and Practice (2022) Vol. 47, Iss. 6, pp. 2465-2493
Open Access | Times Cited: 9
Financial Efficiency of Unicorns: Regional and Sector Related Aspects
Inga Kartanaitė, Rytis Krušinskas
Engineering Economics (2022) Vol. 33, Iss. 2, pp. 200-214
Open Access | Times Cited: 8
A fused large language model for predicting startup success
Abdurahman Maarouf, Stefan Feuerriegel, Nicolas Pröllochs
European Journal of Operational Research (2024) Vol. 322, Iss. 1, pp. 198-214
Open Access | Times Cited: 1
What Affects Startup Acquisition in Emerging Economy? Evidence from India
Khanindra Ch. Das
Journal of Emerging Market Finance (2023) Vol. 22, Iss. 2, pp. 111-134
Closed Access | Times Cited: 2
Machine Intelligence for Predicting New Start-ups Success
Ajai Mishra, Dharm Singh Jat, Durgesh Kumar Mishra
(2021), pp. 99-105
Closed Access | Times Cited: 4
From liability to asset: A receiver’s perspective on eponymy signals and market value
Jorge Arteaga-Fonseca, Duygu Phillips, Matthew W. Rutherford, et al.
Journal of Small Business Management (2024), pp. 1-29
Closed 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
Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems
Lele Cao, Gustaf Halvardsson, Andrew McCornack, et al.
Lecture notes in computer science (2024), pp. 373-388
Closed Access
Convex Least Angle Regression Based LASSO Feature Selection and Swish Activation Function Model for Startup Survival Rate
Ramakrishna Allu, Venkata Nageswara Rao Padmanabhuni
Cybernetics and Information Technologies (2023) Vol. 23, Iss. 4, pp. 110-127
Open Access | Times Cited: 1
Applying Machine Learning Approach to Start-up Success Prediction
Olena Piskunova, Larysa Ligonenko, Rostyslav Klochko, et al.
Scientific Horizons (2022) Vol. 24, Iss. 11, pp. 72-84
Open Access | Times Cited: 2
Analyzing the Elements of Startups' Resilience in COVID 19 Crisis Using Theme Analysis Approach
Faezeh Kamali Chirani, Mahdi Homayounfar
Disaster Prevention and Management Knowledge (2023) Vol. 13, Iss. 3, pp. 356-373
Open Access
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