Yang Zhao

5.4k total citations · 1 hit paper
176 papers, 4.1k citations indexed

About

Yang Zhao is a scholar working on Electrical and Electronic Engineering, Building and Construction and Biomedical Engineering. According to data from OpenAlex, Yang Zhao has authored 176 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Electrical and Electronic Engineering, 32 papers in Building and Construction and 31 papers in Biomedical Engineering. Recurrent topics in Yang Zhao's work include Building Energy and Comfort Optimization (25 papers), Energy Load and Power Forecasting (21 papers) and Electrowetting and Microfluidic Technologies (20 papers). Yang Zhao is often cited by papers focused on Building Energy and Comfort Optimization (25 papers), Energy Load and Power Forecasting (21 papers) and Electrowetting and Microfluidic Technologies (20 papers). Yang Zhao collaborates with scholars based in China, Hong Kong and United States. Yang Zhao's co-authors include Kwok‐Leung Tsui, Chaobo Zhang, Dong Wang, Xuejun Zhang, Krishnendu Chakrabarty, Shengwei Wang, Tingting Li, Fangfang Yang, Fu Xiao and Junyang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

Yang Zhao

164 papers receiving 4.0k citations

Hit Papers

Artificial intelligence-based fault detection and diagnos... 2019 2026 2021 2023 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future
    2019 448 citations Yang Zhao, Chaobo Zhang et al. profile →

Peers

Yang Zhao
Costas J. Spanos United States
Stéphane Ploix France
Irraivan Elamvazuthi Malaysia
Zoltán Nagy United States
Di Wu China
Raad Z. Homod Iraq
Fouzi Harrou Saudi Arabia
Yongjun Sun Hong Kong
Costas J. Spanos United States
Yang Zhao
Citations per year, relative to Yang Zhao Yang Zhao (= 1×) peers Costas J. Spanos

Countries citing papers authored by Yang Zhao

Since Specialization
Citations

This map shows the geographic impact of Yang Zhao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yang Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Zhao more than expected).

Fields of papers citing papers by Yang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang Zhao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yang Zhao. The network helps show where Yang Zhao may publish in the future.

Co-authorship network of co-authors of Yang Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Zhao. A scholar is included among the top collaborators of Yang Zhao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yang Zhao. Yang Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Yiwen, et al.. (2025). Multi-agent reinforcement learning-based method for demand response of building HVAC systems. Journal of Building Engineering. 108. 112734–112734. 1 indexed citations
2.
Zhao, Yang, Xueliang Li, Yang Yang, & Zhigang Chu. (2025). Constrained optimization of acoustic contrast for personal sound zones based on array effort control. Applied Acoustics. 242. 111058–111058.
3.
Li, Huifang, Yang Zhao, Xiaoxuan Jin, et al.. (2025). Anti-inflammatory and antioxidant properties of oleuropein in human keratinocytes characterized by bottom-up proteomics. Frontiers in Pharmacology. 15. 1496078–1496078. 2 indexed citations
4.
5.
Mao, Tianqi, Yang Zhao, Wei Xiao, et al.. (2025). New Paradigm for Integrated Sensing and Communication with Rydberg Atomic Receiver. IEEE Communications Magazine. 63(12). 104–111. 1 indexed citations
6.
Lu, Jie, et al.. (2024). Self-attention variational autoencoder-based method for incomplete model parameter imputation of digital twin building energy systems. Energy and Buildings. 328. 115162–115162. 2 indexed citations
7.
Zhao, Hongquan, Yang Zhao, Zeyun Xiao, et al.. (2024). Tunable electronic and optical properties of WSe2/Si2H heterojunction via electric field. Physica Scripta. 99(2). 25986–25986. 3 indexed citations
8.
Wang, Xuan, et al.. (2024). Sensor-Based Multifaceted Feature Extraction and Ensemble Elastic Net Approach for Assessing Fall Risk in Community-Dwelling Older Adults. IEEE Journal of Biomedical and Health Informatics. 28(11). 6661–6673.
9.
Fan, Xiaomao, et al.. (2024). MSS-Former: Multiscale Skeletal Transformer for Intelligent Fall Risk Prediction in Older Adults. IEEE Internet of Things Journal. 11(20). 33040–33052. 1 indexed citations
10.
Mao, Qian, et al.. (2024). The Effects of Virtual Reality–Based Reminiscence Therapies for Older Adults With Cognitive Impairment: Systematic Review. Journal of Medical Internet Research. 26. e53348–e53348. 10 indexed citations
11.
Chen, Bin, et al.. (2024). Analysis of hot spots and trends in rolling bearing fault diagnosis research based on scientific knowledge mapping. Engineering Research Express. 6(2). 25536–25536. 1 indexed citations
12.
Zhang, Chaobo, et al.. (2023). Automated machine learning-based building energy load prediction method. Journal of Building Engineering. 80. 108071–108071. 30 indexed citations
13.
Du, Yu, et al.. (2022). Research on edge nodes of substation auxiliary services based on an improved LEACH protocol. Electric Power Systems Research. 210. 108079–108079.
14.
Wang, Hailiang, et al.. (2021). Automatic Recognition and Analysis of Balance Activity in Community-Dwelling Older Adults: Algorithm Validation. Journal of Medical Internet Research. 23(12). e30135–e30135. 5 indexed citations
15.
Wang, Yaqi, Guoqin Mai, Min Zou, et al.. (2021). Heavy chain sequence-based classifier for the specificity of human antibodies. Briefings in Bioinformatics. 23(1). 3 indexed citations
16.
Zhao, Yang, et al.. (2020). Wearable Device Heart Rate and Activity Data in an Unsupervised Approach to Personalized Sleep Monitoring: Algorithm Validation. JMIR mhealth and uhealth. 8(8). e18370–e18370. 15 indexed citations
17.
Zhao, Yang, et al.. (2020). A Novel Approach for Fall Risk Prediction Using the Inertial Sensor Data From the Timed-Up-and-Go Test in a Community Setting. IEEE Sensors Journal. 20(16). 9339–9350. 14 indexed citations
18.
Taal, A., Laure Itard, Wim Zeiler, & Yang Zhao. (2016). Automatic detection and diagnosis of faults in sensors used in EMS. Research Repository (Delft University of Technology). 1–10. 1 indexed citations
19.
Zhao, Yang & Krishnendu Chakrabarty. (2009). Cross-contamination avoidance for droplet routing in digital microfluidic biochips. Design, Automation, and Test in Europe. 1290–1295. 18 indexed citations
20.
Zhao, Yang. (2007). Study of a fault pattern state machine based testing method. Journal of Beijing University of Chemical Technology. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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