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:

MCRMR: Maximum coverage and relevancy with minimal redundancy based multi-document summarization
Pradeepika Verma, Hari Om
Expert Systems with Applications (2018) Vol. 120, pp. 43-56
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of mRMR Feature Selection and Machine Learning Models
Mesut Toğaçar, Burhan Ergen, Zafer Cömert, et al.
IRBM (2019) Vol. 41, Iss. 4, pp. 212-222
Closed Access | Times Cited: 258
Review of automatic text summarization techniques & methods
Adhika Pramita Widyassari, Supriadi Rustad, Guruh Fajar Shidik, et al.
Journal of King Saud University - Computer and Information Sciences (2020) Vol. 34, Iss. 4, pp. 1029-1046
Open Access | Times Cited: 130
Automatic Text Summarization Methods: A Comprehensive Review
Grishma Sharma, Deepak Sharma
SN Computer Science (2022) Vol. 4, Iss. 1
Closed Access | Times Cited: 49
Multi-document extractive text summarization based on firefly algorithm
Minakshi Tomer, Manoj Kumar
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 8, pp. 6057-6065
Open Access | Times Cited: 43
An approach for extractive text summarization using fuzzy evolutionary and clustering algorithms
Pradeepika Verma, Anshul Verma, Sukomal Pal
Applied Soft Computing (2022) Vol. 120, pp. 108670-108670
Closed Access | Times Cited: 32
A novel hybrid deep CNN model for breast cancer classification using Lipschitz-based image augmentation and recursive feature elimination
Sreedhar Kollem, S. Chandrasekhar, Samineni Peddakrishna
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106406-106406
Closed Access | Times Cited: 7
A Comparative Analysis on Hindi and English Extractive Text Summarization
Pradeepika Verma, Sukomal Pal, Hari Om
ACM Transactions on Asian and Low-Resource Language Information Processing (2019) Vol. 18, Iss. 3, pp. 1-39
Closed Access | Times Cited: 53
Multidocument Arabic Text Summarization Based on Clustering and Word2Vec to Reduce Redundancy
Samer Abdulateef, Naseer Ahmed Khan, Bolin Chen, et al.
Information (2020) Vol. 11, Iss. 2, pp. 59-59
Open Access | Times Cited: 45
A decomposition-based multi-objective optimization approach for extractive multi-document text summarization
Jesús Sánchez‐Gómez, Miguel A. Vega‐Rodríguez, Carlos J. Pérez
Applied Soft Computing (2020) Vol. 91, pp. 106231-106231
Closed Access | Times Cited: 45
A novel extractive multi-document text summarization system using quantum-inspired genetic algorithm: MTSQIGA
Mohammad Mojrian, Seyed Abolghasem Mirroshandel
Expert Systems with Applications (2021) Vol. 171, pp. 114555-114555
Closed Access | Times Cited: 39
SGCSumm: An extractive multi-document summarization method based on pre-trained language model, submodularity, and graph convolutional neural networks
Alireza Ghadimi, Hamid Beigy
Expert Systems with Applications (2022) Vol. 215, pp. 119308-119308
Closed Access | Times Cited: 27
Automatic multi-documents text summarization by a large-scale sparse multi-objective optimization algorithm
Hitham M. Abo Bakr, S.A. Mohamed
Complex & Intelligent Systems (2023) Vol. 9, Iss. 4, pp. 4629-4644
Open Access | Times Cited: 14
Exploring the Landscape of Automatic Text Summarization: A Comprehensive Survey
Bilal Khan, Z.A. Shah, Muhammad Usman, et al.
IEEE Access (2023) Vol. 11, pp. 109819-109840
Open Access | Times Cited: 13
Structuring and Text Summarization of Indian Legal Documents
Pawan Kumar, Bablu Kumar, Pradeepika Verma, et al.
Communications in computer and information science (2025), pp. 182-196
Closed Access
Efficient Multi-Document Cuckoo Search Optimization for Extractive Text Summarization
Avaneesh Kumar Yadav, Ranvijay Singh, Rama Shankar Yadav, et al.
IETE Technical Review (2025), pp. 1-24
Closed Access
Experimental analysis of multiple criteria for extractive multi-document text summarization
Jesús Sánchez‐Gómez, Miguel A. Vega‐Rodríguez, Carlos J. Pérez
Expert Systems with Applications (2019) Vol. 140, pp. 112904-112904
Closed Access | Times Cited: 31
A Review on Text Summarization Techniques
Pradeepika Verma, Anshul Verma
Journal of scientific research (2020) Vol. 64, Iss. 01, pp. 251-257
Open Access | Times Cited: 28
Abstractive Summarization of Indian Legal Judgments
Priyanka Prabhakar, Deepa Gupta, Peeta Basa Pati
(2022), pp. 256-261
Closed Access | Times Cited: 16
From coarse to fine: Enhancing multi-document summarization with multi-granularity relationship-based extractor
Ming Zhang, J.P. Lu, Jiahao Yang, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103696-103696
Closed Access | Times Cited: 3
Enhancing metaheuristic based extractive text summarization with fuzzy logic
Minakshi Tomer, Manoj Kumar, Adeel Hashmi, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 13, pp. 9711-9723
Closed Access | Times Cited: 8
A novel approach for text summarization using optimal combination of sentence scoring methods
Pradeepika Verma, Hari Om
Sadhana (2019) Vol. 44, Iss. 5
Open Access | Times Cited: 24
Accountability of NLP Tools in Text Summarization for Indian Languages
Pradeepika Verma, Anshul Verma
Journal of scientific research (2020) Vol. 64, Iss. 01, pp. 258-263
Open Access | Times Cited: 23
Unstructured Text Documents Summarization With Multi-Stage Clustering
Muhammad Yahya Saeed, Muhammad Awais, Ramzan Talib, et al.
IEEE Access (2020) Vol. 8, pp. 212838-212854
Open Access | Times Cited: 21
Extractive Multi-Document Summarization: A Review of Progress in the Last Decade
Zakia Jalil, Jamal Abdul Nasir, Muhammad Nasir
IEEE Access (2021) Vol. 9, pp. 130928-130946
Open Access | Times Cited: 16
Extractive multi-document text summarization using dolphin swarm optimization approach
Atul Kumar Srivastava, Dhiraj Pandey, Alok Agarwal
Multimedia Tools and Applications (2021) Vol. 80, Iss. 7, pp. 11273-11290
Closed Access | Times Cited: 15
Page 1 - Next Page

Scroll to top