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:

Witness Identification in Twitter
Rui Fang, Armineh Nourbakhsh, Xiaomo Liu, et al.
(2016), pp. 65-73
Open Access | Times Cited: 16

Showing 16 citing articles:

Automatic identification of eyewitness messages on twitter during disasters
Kiran Zahra, Muhammad Imran, Frank Ostermann
Information Processing & Management (2019) Vol. 57, Iss. 1, pp. 102107-102107
Open Access | Times Cited: 162

Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane Irma
Muhammed Sit, Caglar Koylu, İbrahim Demir
International Journal of Digital Earth (2019) Vol. 12, Iss. 11, pp. 1205-1229
Closed Access | Times Cited: 91

Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges
Yu Feng, Xiao Huang, Monika Sester
International Journal of Geographical Information Science (2022) Vol. 36, Iss. 7, pp. 1275-1316
Closed Access | Times Cited: 38

Mining social media for newsgathering: A review
Arkaitz Zubiaga
Online Social Networks and Media (2019) Vol. 13, pp. 100049-100049
Open Access | Times Cited: 32

Geolocating tweets via spatial inspection of information inferred from tweet meta-fields
Motti Zohar
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 105, pp. 102593-102593
Open Access | Times Cited: 15

Randomized Convolutional Neural Network Architecture for Eyewitness Tweet Identification During Disaster
Abhinav Kumar, Jyoti Prakash Singh, Amit Kumar Singh
Journal of Grid Computing (2022) Vol. 20, Iss. 3
Closed Access | Times Cited: 8

Multi-Channel Convolutional Neural Network for the Identification of Eyewitness Tweets of Disaster
Abhinav Kumar, Jyoti Prakash Singh, Nripendra P. Rana, et al.
Information Systems Frontiers (2022) Vol. 25, Iss. 4, pp. 1589-1604
Closed Access | Times Cited: 8

Category-universal witness discovery with attention mechanism in social network
Weijia Liu, Jiuxin Cao, Yuntao Yang, et al.
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102947-102947
Closed Access | Times Cited: 6

Event Detection from Social Media Stream: Methods, Datasets and Opportunities
Quanzhi Li, Chao Yang, Dong Li, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 3509-3516
Open Access | Times Cited: 6

Identifying Witness Accounts from Social Media Using Imagery
Marie Truelove, Kourosh Khoshelham, Simon Mclean, et al.
ISPRS International Journal of Geo-Information (2017) Vol. 6, Iss. 4, pp. 120-120
Open Access | Times Cited: 9

Testing the event witnessing status of micro-bloggers from evidence in their micro-blogs
Marie Truelove, Maria Vasardani, Stephan Winter
PLoS ONE (2017) Vol. 12, Iss. 12, pp. e0189378-e0189378
Open Access | Times Cited: 9

Breaking Fake News and Verifying Truth
Kazuhiko Shibuya
Advances in information quality and management (2020), pp. 1469-1480
Closed Access | Times Cited: 8

Real-World Witness Detection in Social Media via Hybrid Crowdsensing
Stefano Cresci, Andrea Cimino, Marco Avvenuti, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2018) Vol. 12, Iss. 1
Open Access | Times Cited: 7

"Breaking" Disasters: Predicting and Characterizing the Global News Value of Natural and Man-made Disasters
Armineh Nourbakhsh, Quanzhi Li, Xiaomo Liu, et al.
arXiv (Cornell University) (2017)
Closed Access | Times Cited: 2

Automatic Classification of Eyewitness Messages for Disaster Events Using Linguistic Rules and ML/AI Approaches
Sajjad Haider, Azhar Mahmood, Shaheen Khatoon, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9953-9953
Open Access | Times Cited: 1

Mining Social Media for Newsgathering: A Review
Arkaitz Zubiaga
arXiv (Cornell University) (2018)
Closed Access

Page 1

Scroll to top