Chaobo Zhang

2.5k total citations · 1 hit paper
59 papers, 1.9k citations indexed

About

Chaobo Zhang is a scholar working on Building and Construction, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Chaobo Zhang has authored 59 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Building and Construction, 33 papers in Electrical and Electronic Engineering and 10 papers in Control and Systems Engineering. Recurrent topics in Chaobo Zhang's work include Building Energy and Comfort Optimization (31 papers), Energy Load and Power Forecasting (27 papers) and Smart Grid Energy Management (9 papers). Chaobo Zhang is often cited by papers focused on Building Energy and Comfort Optimization (31 papers), Energy Load and Power Forecasting (27 papers) and Smart Grid Energy Management (9 papers). Chaobo Zhang collaborates with scholars based in China, Netherlands and United Kingdom. Chaobo Zhang's co-authors include Yang Zhao, Xuejun Zhang, Tingting Li, Junyang Li, Yang Zhao, Jie Lu, Zihao Wang, Yiwen Zhang, Xuejun Zhang and Tingting Li and has published in prestigious journals such as The Journal of Chemical Physics, Applied Physics Letters and Renewable and Sustainable Energy Reviews.

In The Last Decade

Chaobo Zhang

58 papers receiving 1.8k 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 — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chaobo Zhang China 23 940 855 343 264 254 59 1.9k
Srinivas Katipamula United States 19 1.4k 1.5× 644 0.8× 815 2.4× 213 0.8× 523 2.1× 83 2.3k
Jonathan A. Wright United Kingdom 19 1.1k 1.2× 292 0.3× 178 0.5× 398 1.5× 310 1.2× 59 2.0k
Zhigang Zhou China 20 431 0.5× 833 1.0× 138 0.4× 175 0.7× 318 1.3× 90 1.5k
Giuseppe Parise Italy 25 338 0.4× 1.7k 2.0× 938 2.7× 51 0.2× 123 0.5× 277 2.9k
Teja Kuruganti United States 23 619 0.7× 1.3k 1.6× 604 1.8× 133 0.5× 272 1.1× 131 1.9k
Roberto Zanetti Freire Brazil 20 493 0.5× 358 0.4× 223 0.7× 187 0.7× 90 0.4× 64 1.3k
Perumal Nallagownden Malaysia 19 722 0.8× 924 1.1× 437 1.3× 176 0.7× 291 1.1× 74 1.7k
Zhimin Du China 32 1.5k 1.6× 595 0.7× 883 2.6× 356 1.3× 334 1.3× 93 2.7k
Nursyarizal Mohd Nor Malaysia 19 699 0.7× 883 1.0× 475 1.4× 110 0.4× 349 1.4× 116 1.7k
Guannan Li China 31 1.2k 1.2× 707 0.8× 664 1.9× 307 1.2× 368 1.4× 81 2.3k

Countries citing papers authored by Chaobo Zhang

Since Specialization
Citations

This map shows the geographic impact of Chaobo Zhang'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 Chaobo Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaobo Zhang more than expected).

Fields of papers citing papers by Chaobo Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaobo Zhang. 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 Chaobo Zhang. The network helps show where Chaobo Zhang may publish in the future.

Co-authorship network of co-authors of Chaobo Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaobo Zhang. A scholar is included among the top collaborators of Chaobo Zhang 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 Chaobo Zhang. Chaobo Zhang 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
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Zhang, Chaobo, et al.. (2025). Shock compression of liquefied gases: Molecular dissociation and radiance change at the sample/LiF interface. The Journal of Chemical Physics. 162(5). 1 indexed citations
4.
Lu, Jie, Zeyu Zheng, M.K. Jackson, et al.. (2025). Automated building energy modeling for energy retrofits using a large language model-based multi-agent framework. iScience. 28(11). 113867–113867. 1 indexed citations
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Zhang, Chaobo, et al.. (2025). Large Language Models Meet Energy Systems: Opportunities, Challenges, and Future Perspectives. Applied Energy. 403. 127076–127076.
8.
Zhang, Chaobo, Jian Zhang, Yang Zhao, & Jie Lu. (2025). Automated data-driven building energy load prediction method based on generative pre-trained transformers (GPT). Energy. 318. 134824–134824. 8 indexed citations
9.
Zhang, Chaobo, et al.. (2025). Hybrid data-driven and physics-based fast building cooling demand modeling method for large-scale building demand response control. Journal of Building Engineering. 100. 111808–111808. 4 indexed citations
10.
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
11.
Li, Jinɡjinɡ, Chaobo Zhang, Lei Liu, et al.. (2024). Discovery of orally bioavailable phosphonate prodrugs of potent ENPP1 inhibitors for cancer treatment. European Journal of Medicinal Chemistry. 279. 116853–116853. 1 indexed citations
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Zhang, Yiwen, et al.. (2024). A prior-knowledge-based time series model for heat demand prediction of district heating systems. Applied Thermal Engineering. 252. 123696–123696. 4 indexed citations
14.
Li, Jinɡjinɡ, et al.. (2024). Discovery of Pyrazolo[1,5,4-de]quinoxalin-2(3H)-one Derivatives as Highly Potent and Selective PARP1 Inhibitors. Journal of Medicinal Chemistry. 67(23). 21380–21399. 2 indexed citations
15.
Zhang, Jian, Chaobo Zhang, Jie Lu, & Yang Zhao. (2024). Domain-specific large language models for fault diagnosis of heating, ventilation, and air conditioning systems by labeled-data-supervised fine-tuning. Applied Energy. 377. 124378–124378. 24 indexed citations
16.
Wang, Zihao, et al.. (2024). A self-organized optimal scheduling approach for integrated energy systems using bottom-up modelling. Journal of Building Engineering. 98. 111160–111160. 1 indexed citations
17.
Zhang, Wenkai, Chaobo Zhang, Yang Zhao, et al.. (2024). Convolutional neural networks-based surrogate model for fast computational fluid dynamics simulations of indoor airflow distribution. Energy and Buildings. 326. 115020–115020. 14 indexed citations
18.
Zhang, Chaobo, Jian Zhang, Yang Zhao, & Jie Lu. (2024). Automated data mining framework for building energy conservation aided by generative pre-trained transformers (GPT). Energy and Buildings. 305. 113877–113877. 28 indexed citations
19.
Zhang, Chaobo, et al.. (2023). Automated machine learning-based building energy load prediction method. Journal of Building Engineering. 80. 108071–108071. 30 indexed citations
20.
Zhang, Chaobo, et al.. (2022). Causal discovery and inference-based fault detection and diagnosis method for heating, ventilation and air conditioning systems. Building and Environment. 212. 108760–108760. 31 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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Breakdown of academic impact, for papers by Srinivas Katipamula Breakdown of academic impact, for papers by Jonathan A. Wright Breakdown of academic impact, for papers by Zhigang Zhou Breakdown of academic impact, for papers by Giuseppe Parise Breakdown of academic impact, for papers by Teja Kuruganti Breakdown of academic impact, for papers by Roberto Zanetti Freire Breakdown of academic impact, for papers by Perumal Nallagownden Breakdown of academic impact, for papers by Zhimin Du Breakdown of academic impact, for papers by Nursyarizal Mohd Nor Breakdown of academic impact, for papers by Guannan Li
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