Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Detecting Latent Topics and Trends in Software Engineering Research Since 1980 Using Probabilistic Topic Modeling
Fatih Gürcan, Gonca Gökçe Menekşe Dalveren, Nergiz Ercil Çağıltay, et al.
IEEE Access (2022) Vol. 10, pp. 74638-74654
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions
Mamdouh Alenezi, Mohammed Akour
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1344-1344
Open Access | Times Cited: 2
Topic modelling through the bibliometrics lens and its technique
Bayode Ogunleye, Bárbara S. Lancho-Barrantes, Kudirat Ibilola Zakariyyah
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 1
Digital Transformation Strategies, Practices, and Trends: A Large-Scale Retrospective Study Based on Machine Learning
Fatih Gürcan, Gizem Dilan Boztaş, Gonca Gökçe Menekşe Dalveren, et al.
Sustainability (2023) Vol. 15, Iss. 9, pp. 7496-7496
Open Access | Times Cited: 26
Advanced Brain Tumor Classification in MR Images Using Transfer Learning and Pre-Trained Deep CNN Models
Rukiye Disci, Fatih Gürcan, Ahmet Soylu
Cancers (2025) Vol. 17, Iss. 1, pp. 121-121
Open Access | Times Cited: 1
Evolution of Software Testing Strategies and Trends: Semantic Content Analysis of Software Research Corpus of the Last 40 Years
Fatih Gürcan, Gonca Gökçe Menekşe Dalveren, Nergiz Ercil Çağıltay, et al.
IEEE Access (2022) Vol. 10, pp. 106093-106109
Open Access | Times Cited: 28
Forecasting CO2 emissions of fuel vehicles for an ecological world using ensemble learning, machine learning, and deep learning models
Fatih Gürcan
PeerJ Computer Science (2024) Vol. 10, pp. e2234-e2234
Open Access | Times Cited: 5
What issues are data scientists talking about? Identification of current data science issues using semantic content analysis of Q&A communities
Fatih Gürcan
PeerJ Computer Science (2023) Vol. 9, pp. e1361-e1361
Open Access | Times Cited: 15
Enhancing breast cancer prediction through stacking ensemble and deep learning integration
Fatih Gürcan
PeerJ Computer Science (2025) Vol. 11, pp. e2461-e2461
Open Access
Integration of machine learning techniques in the field of business information system: Study
Murali Mohana Kumara Varma Mantena, M. Giri
AIP conference proceedings (2025) Vol. 3281, pp. 020031-020031
Closed Access
Software Engineering Development as Stress-Strain Curve Prediction for Testing Results of Different Welded Joints Based on Numerical Methods
Hakam Muzakki, Mahrus Khoirul Umami, Nur Anisa Putri
Journal of Physics Conference Series (2025) Vol. 2972, Iss. 1, pp. 012040-012040
Open Access
Career in Cloud Computing: Exploratory Analysis of In-Demand Competency Areas and Skill Sets
Özcan Özyurt, Fatih Gürcan, Gonca Gökçe Menekşe Dalveren, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9787-9787
Open Access | Times Cited: 19
Business Intelligence Strategies, Best Practices, and Latest Trends: Analysis of Scientometric Data from 2003 to 2023 Using Machine Learning
Fatih Gürcan, Ahmet Ayaz, Gonca Gökçe Menekşe Dalveren, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 9854-9854
Open Access | Times Cited: 11
Covid-19 and E-Learning: An Exploratory Analysis of Research Topics and Interests in E-Learning During the Pandemic
Fatih Gürcan, Gonca Gökçe Menekşe Dalveren, Mohammad Derawi
IEEE Access (2022) Vol. 10, pp. 123349-123357
Open Access | Times Cited: 16
Student engagement research trends of past 10 years: A machine learning-based analysis of 42,000 research articles
Fatih Gürcan, Fatih Erdoğdu, Nergiz Ercil Çağıltay, et al.
Education and Information Technologies (2023) Vol. 28, Iss. 11, pp. 15067-15091
Closed Access | Times Cited: 10
Learning from Imbalanced Data: Integration of Advanced Resampling Techniques and Machine Learning Models for Enhanced Cancer Diagnosis and Prognosis
Fatih Gürcan, Ahmet Soylu
Cancers (2024) Vol. 16, Iss. 19, pp. 3417-3417
Open Access | Times Cited: 3
Identifying Hot Topic Trends in Streaming Text Data Using News Sequential Evolution Model Based on Distributed Representations
Zohaib Ahmad Khan, Yuanqing Xia, Shahzad Ali, et al.
IEEE Access (2023) Vol. 11, pp. 98787-98804
Open Access | Times Cited: 7
What are developers talking about information security? A large-scale study using semantic analysis of Q&A posts
Fatih Gürcan
PeerJ Computer Science (2024) Vol. 10, pp. e1954-e1954
Open Access | Times Cited: 2
Identification of mobile development issues using semantic topic modeling of Stack Overflow posts
Fatih Gürcan
PeerJ Computer Science (2023) Vol. 9, pp. e1658-e1658
Open Access | Times Cited: 3
Analyzing 40 years of educational technology trends: insights from advanced text mining and machine learning
Fatih Gürcan
Multimedia Tools and Applications (2024)
Closed Access
Application of Latent Dirichlet Allocation (LDA) to Identify Research Topics in Journal Publications
Puji Rahayu, Alfredo Julian Saputra, Erika Nurmaida, et al.
(2023), pp. 358-363
Closed Access | Times Cited: 1
Peer Review #3 of "What issues are data scientists talking about? Identification of current data science issues using semantic content analysis of Q&A communities (v0.1)"
Fatih Gürcan
(2023)
Open Access
Peer Review #2 of "What issues are data scientists talking about? Identification of current data science issues using semantic content analysis of Q&A communities (v0.1)"
Fatih Gürcan
(2023)
Open Access
Peer Review #2 of "What issues are data scientists talking about? Identification of current data science issues using semantic content analysis of Q&A communities (v0.2)"
Fatih Gürcan
(2023)
Open Access
Peer Review #1 of "What issues are data scientists talking about? Identification of current data science issues using semantic content analysis of Q&A communities (v0.1)"
Fatih Gürcan
(2023)
Open Access
Topic Modeling Approaches—A Comparative Analysis
Dileep Reddy, C. Shoba Bindu
Lecture notes in networks and systems (2023), pp. 881-892
Closed Access
Page 1 - Next Page

Scroll to top