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:

A framework to identify key occupancy indicators for optimizing building operation using WiFi connection count data
Nastaran Alishahi, Mazdak Nik‐Bakht, Mohamed Ouf
Building and Environment (2021) Vol. 200, pp. 107936-107936
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings
Zhengxuan Liu, Xiang Zhang, Ying Sun, et al.
Energy and Buildings (2023) Vol. 297, pp. 113436-113436
Open Access | Times Cited: 56
State of the art review on the HVAC occupant-centric control in different commercial buildings
Guanying Huang, S. Thomas Ng, Dezhi Li, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110445-110445
Closed Access | Times Cited: 26
A systematic review and comprehensive analysis of building occupancy prediction
Tao Li, Xiangyu Liu, Guannan Li, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 193, pp. 114284-114284
Closed Access | Times Cited: 18
WiFi Sensing on the Edge: Signal Processing Techniques and Challenges for Real-World Systems
Steven M. Hernandez, Eyuphan Bulut
IEEE Communications Surveys & Tutorials (2022) Vol. 25, Iss. 1, pp. 46-76
Closed Access | Times Cited: 58
Improving residential building energy simulations through occupancy data derived from commercial off-the-shelf Wi-Fi sensing technology
Soroush Samareh Abolhassani, Azar Zandifar, Negar Ghourchian, et al.
Energy and Buildings (2022) Vol. 272, pp. 112354-112354
Closed Access | Times Cited: 33
Occupancy-informed predictive control strategies for enhancing the energy flexibility of grid-interactive buildings
Aya Doma, Mohamed Ouf, Fatima Amara, et al.
Energy and Buildings (2025) Vol. 332, pp. 115388-115388
Open Access
User perceptions on the adoption of smart energy management systems in the workplace: Design and policy implications
Zeynep Duygu Tekler, Raymond Low, Luciënne Blessing
Energy Research & Social Science (2022) Vol. 88, pp. 102505-102505
Closed Access | Times Cited: 25
MARTINI: Smart meter driven estimation of HVAC schedules and energy savings based on Wi-Fi sensing and clustering
Kingsley Nweye, Zoltán Nagy
Applied Energy (2022) Vol. 316, pp. 118980-118980
Open Access | Times Cited: 23
Space-Level air conditioner electricity consumption and occupant behavior analysis on a university campus
Yue Yuan, Liying Gao, Kejun Zeng, et al.
Energy and Buildings (2023) Vol. 300, pp. 113646-113646
Closed Access | Times Cited: 15
DMFF: Deep multimodel feature fusion for building occupancy detection
Kailai Sun
Building and Environment (2024) Vol. 253, pp. 111355-111355
Open Access | Times Cited: 4
Deep Learning Approach for Radar-Based People Counting
Jae-Ho Choi, Ji-Eun Kim, Kyung‐Tae Kim
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 10, pp. 7715-7730
Closed Access | Times Cited: 30
Using WiFi connection counts and camera-based occupancy counts to estimate and predict building occupancy
Nastaran Alishahi, Mohamed Ouf, Mazdak Nik‐Bakht
Energy and Buildings (2021) Vol. 257, pp. 111759-111759
Closed Access | Times Cited: 28
A framework for occupancy prediction based on image information fusion and machine learning
Yuren Yang, Ye Yuan, Ting Pan, et al.
Building and Environment (2021) Vol. 207, pp. 108524-108524
Closed Access | Times Cited: 26
Comparison of different training data sets from simulation and experimental measurement with artificial users for occupancy detection — Using machine learning methods Random Forest and LASSO
Michael Parzinger, Lucia Hanfstaengl, Ferdinand Sigg, et al.
Building and Environment (2022) Vol. 223, pp. 109313-109313
Closed Access | Times Cited: 17
A Systematic Review of Artificial Intelligence Applied to Facility Management in the Building Information Modeling Context and Future Research Directions
Rodrigo Pedral Sampaio, António Aguiar Costa, Inês Flores‐Colen
Buildings (2022) Vol. 12, Iss. 11, pp. 1939-1939
Open Access | Times Cited: 17
Indoor occupancy estimation for smart utilities: A novel approach based on depth sensors
Rubén Cantarero, Ana Rubio, Félix J. Villanueva, et al.
Building and Environment (2022) Vol. 222, pp. 109406-109406
Closed Access | Times Cited: 16
Insights into the urban municipal solid waste generation during the COVID-19 pandemic from machine learning analysis
Shuyan Wan, Mazdak Nik‐Bakht, Kelvin Tsun Wai Ng, et al.
Sustainable Cities and Society (2023) Vol. 100, pp. 105044-105044
Closed Access | Times Cited: 9
CROOD: Estimating crude building occupancy from mobile device connections without ground-truth calibration
June Young Park, Kingsley Nweye, Edward Mbata, et al.
Building and Environment (2022) Vol. 216, pp. 109040-109040
Closed Access | Times Cited: 14
Comparison of machine learning algorithms for evaluating building energy efficiency using big data analytics
Christian Nnaemeka Egwim, Hafiz Alaka, Oluwapelumi Oluwaseun Egunjobi, et al.
Journal of Engineering Design and Technology (2022) Vol. 22, Iss. 4, pp. 1325-1350
Open Access | Times Cited: 13
A Systematic Review of Sensing Technology in Human-Building Interaction Research
Weiyu Ji, Lu Feng Yang, Zhansheng Liu, et al.
Buildings (2023) Vol. 13, Iss. 3, pp. 691-691
Open Access | Times Cited: 6
A framework for a multi-source, data-driven building energy management toolkit
Andre A. Markus, Brodie W. Hobson, H. Burak Gunay, et al.
Energy and Buildings (2021) Vol. 250, pp. 111255-111255
Closed Access | Times Cited: 15
Occupant counting model development for urban building energy modeling using commercial off-the-shelf Wi-Fi sensing technology
Soroush Samareh Abolhassani, Azar Zandifar, Negar Ghourchian, et al.
Building and Environment (2024) Vol. 258, pp. 111548-111548
Open Access | Times Cited: 1
Occupancy prediction: A comparative study of static and MOTIF time series features using WiFi Syslog data
Bassam A. Abdelghani, Ahlam Al Mohammad, Jamal Dari, et al.
Sustainable Computing Informatics and Systems (2024) Vol. 44, pp. 101040-101040
Closed Access | Times Cited: 1
High-accuracy occupancy counting at crowded entrances for smart buildings
Kailai Sun, Xinwei Wang, Tian Xing, et al.
Energy and Buildings (2024) Vol. 319, pp. 114509-114509
Closed Access | Times Cited: 1
CRISP-DM-Based Data-Driven Approach for Building Energy Prediction Utilizing Indoor and Environmental Factors
Moaaz Elkabalawy, Abobakr Al-Sakkaf, Eslam Mohammed Abdelkader, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7249-7249
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top