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:

Mining Twitter Feeds for Software User Requirements
Grant Williams, Anas Mahmoud
(2017), pp. 1-10
Closed Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

Mining non-functional requirements from App store reviews
Nishant Jha, Anas Mahmoud
Empirical Software Engineering (2019) Vol. 24, Iss. 6, pp. 3659-3695
Closed Access | Times Cited: 85
Data-Driven Requirements Elicitation: A Systematic Literature Review
Sachiko Lim, Aron Henriksson, Jelena Zdravković
SN Computer Science (2021) Vol. 2, Iss. 1
Open Access | Times Cited: 67
Opinion Mining for Software Development: A Systematic Literature Review
Bin Lin, Nathan Cassee, Alexander Serebrenik, et al.
ACM Transactions on Software Engineering and Methodology (2022) Vol. 31, Iss. 3, pp. 1-41
Open Access | Times Cited: 56
Unveiling the Life Cycle of User Feedback: Best Practices from Software Practitioners
Ze Shi Li, Nowshin Nawar Arony, Kezia Devathasan, et al.
(2024), pp. 1-13
Open Access | Times Cited: 8
Classifying Multilingual User Feedback using Traditional Machine Learning and Deep Learning
Christoph Stanik, Marlo Haering, Walid Maalej
(2019), pp. 220-226
Open Access | Times Cited: 74
Crowd Intelligence in Requirements Engineering: Current Status and Future Directions
Javed Ali Khan, Lin Liu, Lijie Wen, et al.
Lecture notes in computer science (2019), pp. 245-261
Closed Access | Times Cited: 69
Automatically Matching Bug Reports With Related App Reviews
Marlo Haering, Christoph Stanik, Walid Maalej
(2021), pp. 970-981
Open Access | Times Cited: 42
App Review Analysis Via Active Learning: Reducing Supervision Effort without Compromising Classification Accuracy
Venkatesh T. Dhinakaran, Raseshwari Pulle, Nirav Ajmeri, et al.
(2018), pp. 170-181
Closed Access | Times Cited: 52
Modeling user concerns in Sharing Economy: the case of food delivery apps
Grant Williams, Miroslav Tushev, Fahimeh Ebrahimi, et al.
Automated Software Engineering (2020) Vol. 27, Iss. 3-4, pp. 229-263
Open Access | Times Cited: 40
Mining user reviews of COVID contact-tracing apps: An exploratory analysis of nine European apps
Vahid Garousi, David Cutting, Michael Felderer
Journal of Systems and Software (2021) Vol. 184, pp. 111136-111136
Open Access | Times Cited: 38
Fundamental Approaches to Software Engineering

Lecture notes in computer science (2024)
Open Access | Times Cited: 5
Identifying and Classifying User Requirements in Online Feedback via Crowdsourcing
Martijn van Vliet, Eduard C. Groen, Fabiano Dalpiaz, et al.
Lecture notes in computer science (2020), pp. 143-159
Closed Access | Times Cited: 33
Classifying User Requirements from Online Feedback in Small Dataset Environments using Deep Learning
Rohan Reddy Mekala, Asif Irfan, Eduard C. Groen, et al.
(2021), pp. 139-149
Closed Access | Times Cited: 28
Using frame semantics for classifying and summarizing application store reviews
Nishant Jha, Anas Mahmoud
Empirical Software Engineering (2018) Vol. 23, Iss. 6, pp. 3734-3767
Closed Access | Times Cited: 36
Speech-acts based analysis for requirements discovery from online discussions
Itzel Morales-Ramirez, Fitsum Meshesha Kifetew, Anna Perini
Information Systems (2018) Vol. 86, pp. 94-112
Closed Access | Times Cited: 36
Modeling User Concerns in the App Store: A Case Study on the Rise and Fall of Yik Yak
Grant Williams, Anas Mahmoud
(2018), pp. 64-75
Closed Access | Times Cited: 33
A Machine Learning-Based Approach for Demarcating Requirements in Textual Specifications
Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh, et al.
(2019), pp. 51-62
Open Access | Times Cited: 32
Automated demarcation of requirements in textual specifications: a machine learning-based approach
Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh, et al.
Empirical Software Engineering (2020) Vol. 25, Iss. 6, pp. 5454-5497
Open Access | Times Cited: 32
An automated approach to aspect-based sentiment analysis of apps reviews using machine and deep learning
Nouf Alturayeif, Hamoud Aljamaan, Jameleddine Hassine
Automated Software Engineering (2023) Vol. 30, Iss. 2
Closed Access | Times Cited: 9
A Bird's Eye View on Requirements Engineering and Machine Learning
Tahira Iqbal, Parisa Elahidoost, Lucio Levi
(2018), pp. 11-20
Open Access | Times Cited: 31
Can a Conversation Paint a Picture? Mining Requirements In Software Forums
James Tizard, Hechen Wang, Lydia Yohannes, et al.
(2019), pp. 17-27
Open Access | Times Cited: 27
Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews
Pablo Restrepo Henao, Jannik Fischbach, Dominik Spies, et al.
(2021), pp. 80-86
Open Access | Times Cited: 23
Crowd-based requirements elicitation via pull feedback: method and case studies
Jelle Wouters, Abel Menkveld, Sjaak Brinkkemper, et al.
Requirements Engineering (2022) Vol. 27, Iss. 4, pp. 429-455
Open Access | Times Cited: 14
Towards Ubiquitous RE: A Perspective on Requirements Engineering in the Era of Digital Transformation
Karina Villela, Anne Heß, Matthias Koch, et al.
(2018), pp. 205-216
Closed Access | Times Cited: 25
On the Role of User Feedback in Software Evolution: a Practitioners’ Perspective
Simon van Oordt, Emitzá Guzmán
(2021), pp. 221-232
Closed Access | Times Cited: 20
Page 1 - Next Page

Scroll to top