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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:

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

Showing 1-25 of 69 citing articles:

Valuating requirements arguments in the online user's forum for requirements decision‐making: The CrowdRE‐VArg framework
Javed Ali Khan, Affan Yasin, Rubia Fatima, et al.
Software Practice and Experience (2022) Vol. 52, Iss. 12, pp. 2537-2573
Open Access | Times Cited: 24
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
FeReRe: Feedback Requirements Relation Using Large Language Models
Michael Anders, Barbara Paech
Lecture notes in computer science (2025), pp. 89-105
Closed Access
Exploring and mining rationale information for low-rating software applications
Tahir Ullah, Javed Ali Khan, Nek Dil Khan, et al.
Soft Computing (2023)
Closed Access | Times Cited: 10
A product requirement development method based on multi-layer heterogeneous networks
Xiangqian Xu, Yajie Dou, Weijun Ouyang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102184-102184
Closed Access | Times Cited: 9
Mining software insights: uncovering the frequently occurring issues in low-rating software applications
Nek Dil Khan, Javed Ali Khan, Jianqiang Li, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2115-e2115
Open Access | Times Cited: 3
Requirements knowledge acquisition from online user forums
Javed Ali Khan, Lin Liu, Lijie Wen
IET Software (2020) Vol. 14, Iss. 3, pp. 242-253
Open Access | Times Cited: 27
Conceptualising, extracting and analysing requirements arguments in users' forums: The CrowdRE‐Arg framework
Javed Ali Khan, Lin Liu, Lijie Wen, et al.
Journal of Software Evolution and Process (2020) Vol. 32, Iss. 12
Closed Access | Times Cited: 26
Sentiment Analysis of Product Reviews to Identify Deceptive Rating Information in Social Media: A SentiDeceptive Approach
Muhammad Khursheed Ullah Khan Marwat, Javed Ali Khan, Mohammad Dahman Alshehri, et al.
KSII Transactions on Internet and Information Systems (2022) Vol. 16, Iss. 3
Open Access | Times Cited: 14
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
Can end‐user feedback in social media be trusted for software evolution: Exploring and analyzing fake reviews
Javed Ali Khan, Tahir Ullah, Arif Ali Khan, et al.
Concurrency and Computation Practice and Experience (2023) Vol. 36, Iss. 10
Closed Access | Times Cited: 8
A novel hybrid requirement’s prioritization approach based on critical software project factors
Hasna Arshad, Saima Shaheen, Javed Ali Khan, et al.
Cognition Technology & Work (2023) Vol. 25, Iss. 2-3, pp. 305-324
Closed Access | Times Cited: 7
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
Toward a Knowledge-based Personalised Recommender System for Mobile App Development
Bilal Abu-Salih, Hamad Alsawalqah, Basima Elshqeirat, et al.
JUCS - Journal of Universal Computer Science (2021) Vol. 27, Iss. 2, pp. 208-229
Open Access | Times Cited: 17
Artificial Intelligence in Software Requirements Engineering: State-of-the-Art
Kaihua Liu, Sandeep Reddivari, Kalyan Reddivari
(2022), pp. 106-111
Closed Access | Times Cited: 12
Exploring the Automatic Classification of Usage Information in Feedback
Michael Anders, Barbara Paech, Lukas Bockstaller
Lecture notes in computer science (2024), pp. 267-283
Closed Access | Times Cited: 2
How Do Crowd-Users Express Their Opinions Against Software Applications in Social Media? A Fine-Grained Classification Approach
Nek Dil Khan, Javed Ali Khan, Jianqiang Li, et al.
IEEE Access (2024) Vol. 12, pp. 98004-98028
Open Access | Times Cited: 2
How do requirements evolve during elicitation? An empirical study combining interviews and app store analysis
Alessio Ferrari, Paola Spoletini, Sourav Debnath
Requirements Engineering (2022) Vol. 27, Iss. 4, pp. 489-519
Open Access | Times Cited: 11
A Comparative Systematic Analysis of Stakeholder’s Identification Methods in Requirements Elicitation
Fahim Muhammad Khan, Javed Ali Khan, Muhammad Assam, et al.
IEEE Access (2022) Vol. 10, pp. 30982-31011
Open Access | Times Cited: 10
Researcher or Crowd Member? Why not both! The Open Research Knowledge Graph for Applying and Communicating CrowdRE Research
Oliver Karras, Eduard C. Groen, Javed Ali Khan, et al.
(2021), pp. 320-327
Closed Access | Times Cited: 14
Eliciting the Double-edged Impact of Digitalisation: a Case Study in Rural Areas
Alessio Ferrari, F. Leporé, Livia Ortolani, et al.
(2023), pp. 157-168
Open Access | Times Cited: 5
Divide and Conquer the EmpiRE: A Community-Maintainable Knowledge Graph of Empirical Research in Requirements Engineering
Oliver Karras, Felix Wernlein, Jil Klünder, et al.
(2023), pp. 1-12
Open Access | Times Cited: 4
Towards Crowd-Based Requirements Engineering for Digital Farming (CrowdRE4DF)
Eduard C. Groen, Kazi Rezoanur Rahman, Nikita Narsinghani, et al.
(2024), pp. 457-465
Open Access | Times Cited: 1
Lessons Learned from Persona Usage in Requirements Engineering Practice
Devi Karolita, John Grundy, Tanjila Kanij, et al.
(2024), pp. 116-128
Closed Access | Times Cited: 1
An exploratory and automated study of sarcasm detection and classification in app stores using fine-tuned deep learning classifiers
Eman Fatima, Hira Kanwal, Javed Ali Khan, et al.
Automated Software Engineering (2024) Vol. 31, Iss. 2
Closed Access | Times Cited: 1
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