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:

Revealing correlation patterns of individual location activity motifs between workdays and day-offs using massive mobile phone data
Qiangqiang Xiong, Yaolin Liu, Peng Xie, et al.
Computers Environment and Urban Systems (2021) Vol. 89, pp. 101682-101682
Open Access | Times Cited: 12

Showing 12 citing articles:

Evaluating flows of recreational ecosystem services using mobile phone data: A demonstration in the megacity of Beijing
Jiahong Wang, Bing Wang, Xiankai Huang, et al.
Applied Geography (2024) Vol. 168, pp. 103313-103313
Closed Access | Times Cited: 2

Profiling mobility patterns and driving behaviors of individual drivers via trajectory trait
Yuhang Liu, Zhipeng Gui, Yang Xu, et al.
The Innovation Geoscience (2024), pp. 100114-100114
Closed Access | Times Cited: 2

Comparing the impacts of built environment across different objective life neighborhoods on the out-of-home leisure activities of employed people using massive mobile phone data
Qiangqiang Xiong, Lijun Xing, Liye Wang, et al.
Applied Geography (2024) Vol. 171, pp. 103382-103382
Closed Access | Times Cited: 2

Unraveling metro mobility patterns in China: A multi-city comparative study using travel motifs and entropy analysis
Chang Shixin, Liang Gao, Chaoyang Zhang, et al.
Chaos Solitons & Fractals (2024) Vol. 191, pp. 115916-115916
Open Access | Times Cited: 1

Delineating Urban Community Life Circles for Large Chinese Cities Based on Mobile Phone Data and POI Data—The Case of Wuhan
Hongzan Jiao, Miaomiao Xiao
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 11, pp. 548-548
Open Access | Times Cited: 5

Mining motif periodic frequent travel patterns of individual metro passengers considering uncertain disturbances
Yan Tang, Zhibin Jiang, Xiaolei Zou, et al.
International Journal of Transportation Science and Technology (2023) Vol. 15, pp. 102-121
Open Access | Times Cited: 2

Perception of urban population characteristics through dietary taste patterns based on takeout data
Yichen Xu, Linshu Hu, Song Gao, et al.
Cities (2022) Vol. 131, pp. 103910-103910
Closed Access | Times Cited: 4

Exploring temporal and spatial reliability of individual activity space measurements using massive mobile phone data
Qiangqiang Xiong, Yaolin Liu, Lijun Xing, et al.
Transactions in GIS (2022) Vol. 26, Iss. 6, pp. 2669-2690
Closed Access | Times Cited: 3

Análise do impacto da pandemia de COVID-19 na mobilidade no Brasil sob uma visão semântica
Germano B. dos Santos, Fabrício A. Silva, Thais R. M. Braga Silva
(2024), pp. 155-168
Closed Access

Next Place Prediction Model: A Literature Review
Giovanni Garola, Chiara Siragusa, Arianna Seghezzi, et al.
Advances in transdisciplinary engineering (2024)
Open Access

Exploring spatial association between residential and commercial urban spaces: A machine learning approach using taxi trajectory data
Lei Zhou, Weiye Xiao, Chen Wang, et al.
Journal of Transport and Land Use (2024) Vol. 17, Iss. 1, pp. 143-161
Open Access

Dominant charging location choice of commuters and non-commuters: a big data approach
Xiong Yang, Chengxiang Zhuge, Chunfu Shao, et al.
Transportation (2023)
Closed Access

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