Jianli Chen

2.4k total citations · 4 hit papers
62 papers, 1.7k citations indexed

About

Jianli Chen is a scholar working on Building and Construction, Environmental Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Jianli Chen has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Building and Construction, 21 papers in Environmental Engineering and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Jianli Chen's work include Building Energy and Comfort Optimization (35 papers), Wind and Air Flow Studies (16 papers) and Energy Load and Power Forecasting (11 papers). Jianli Chen is often cited by papers focused on Building Energy and Comfort Optimization (35 papers), Wind and Air Flow Studies (16 papers) and Energy Load and Power Forecasting (11 papers). Jianli Chen collaborates with scholars based in United States, China and Australia. Jianli Chen's co-authors include Liang Zhang, Yanfei Li, Yuqing Hu, Godfried Augenbroe, Jin Wen, Yunyang Ye, William Livingood, Yangyang Fu, Xinyi Song and Zheng O’Neill and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Applied Energy.

In The Last Decade

Jianli Chen

59 papers receiving 1.6k citations

Hit Papers

A review of machine learning in building load prediction 2021 2026 2022 2024 2021 2021 2022 2025 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. A review of machine learning in building load prediction
    2021 437 citations Liang Zhang, Jin Wen et al. Applied Energy profile →
  2. Grey-box modeling and application for building energy simulations - A critical review
    2021 235 citations Yanfei Li, Liang Zhang et al. profile →
  3. A review of computing-based automated fault detection and diagnosis of heating, ventilation and air conditioning systems
    2022 124 citations Jianli Chen, Liang Zhang et al. profile →
  4. Large language models for building energy applications: Opportunities and challenges
    2025 25 citations Jianli Chen, Jin Wen et al. profile →

Peers

Jianli Chen
Mengjie Han Sweden
Jessica Granderson United States
Chengliang Xu China
Jingjing An China
Álvaro Gomes Portugal
Afshin Afshari Germany
Muhammad Waseem Ahmad United Kingdom
Michael D. Sohn United States
Yeonsook Heo South Korea
Mengjie Han Sweden
Jianli Chen
Citations per year, relative to Jianli Chen Jianli Chen (= 1×) peers Mengjie Han

Countries citing papers authored by Jianli Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jianli Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianli Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jianli Chen. A scholar is included among the top collaborators of Jianli Chen 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 Jianli Chen. Jianli Chen 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.
Chen, Jianli, et al.. (2025). Investigating the feasibility of adopting virtual reality as a method for natural hazard risk communication. International Journal of Disaster Risk Reduction. 119. 105296–105296.
2.
Kuang, Biao, Yuqing Hu, & Jianli Chen. (2025). Unraveling household energy service relevant resilience behaviors for natural disasters: Perspective of extended protection motivation theory. Developments in the Built Environment. 24. 100763–100763.
3.
Jiang, Gang & Jianli Chen. (2025). Efficient fine-tuning of large language models for automated building energy modeling in complex cases. Automation in Construction. 175. 106223–106223. 6 indexed citations
4.
Chakrabarty, A. M., et al.. (2025). How electricity utility practitioners in the United States approach power system resilience. Digital Commons - Michigan Tech (Michigan Technological University). 4(1). 19–29.
5.
Zhang, Liang, et al.. (2025). Large language model-based agent Schema and library for automated building energy analysis and modeling. Automation in Construction. 176. 106244–106244. 4 indexed citations
6.
Ma, Zhihao, et al.. (2025). Prompt engineering to inform large language model in automated building energy modeling. Energy. 316. 134548–134548. 18 indexed citations
7.
Chen, Yixing, et al.. (2024). A deep learning-based Bayesian framework for high-resolution calibration of building energy models. Energy and Buildings. 323. 114755–114755. 9 indexed citations
8.
9.
10.
Ma, Zhihao, et al.. (2024). Physics-informed ensemble learning with residual modeling for enhanced building energy prediction. Energy and Buildings. 323. 114853–114853. 11 indexed citations
11.
Zhang, Liang, Vitaly Ford, Zhelun Chen, & Jianli Chen. (2024). Automatic building energy model development and debugging using large language models agentic workflow. Energy and Buildings. 327. 115116–115116. 17 indexed citations
12.
Wang, Jun, et al.. (2024). Predicting Construction Company Insolvent Failure: A Scientometric Analysis and Qualitative Review of Research Trends. Sustainability. 16(6). 2290–2290. 9 indexed citations
13.
Li, Guangchen, et al.. (2024). Hybrid building energy modeling method with parameterized prototype models and rapid calibration. Energy and Buildings. 325. 114948–114948. 4 indexed citations
14.
Hu, Yuqing, Chen Xia, Jianli Chen, & Xinhua Gao. (2023). Clash context representation and change component prediction based on graph convolutional network in MEP disciplines. Advanced Engineering Informatics. 55. 101896–101896. 12 indexed citations
15.
Gao, Xinghua, et al.. (2023). Assistance from the Ambient Intelligence: Cyber–physical system applications in smart buildings for cognitively declined occupants. Engineering Applications of Artificial Intelligence. 123. 106431–106431. 7 indexed citations
16.
Cai, Jiannan, Jianli Chen, Yuqing Hu, Shuai Li, & Qiang He. (2023). Digital twin for healthy indoor environment: A vision for the post-pandemic era. Frontiers of Engineering Management. 10(2). 300–318. 13 indexed citations
17.
Kuang, Biao, et al.. (2023). Data-driven analysis of influential factors on residential energy end-use in the US. Journal of Building Engineering. 75. 106947–106947. 21 indexed citations
18.
Hu, Yuqing, et al.. (2023). Assessing dynamics of human vulnerability at community level – Using mobility data. International Journal of Disaster Risk Reduction. 96. 103964–103964. 4 indexed citations
19.
Zhang, Liang, Jin Wen, Yanfei Li, et al.. (2021). A review of machine learning in building load prediction. Applied Energy. 285. 116452–116452. 437 indexed citations breakdown →
20.
Chen, Jianli. (2005). Positive study of Markowitz models in Shenzhen stock market. Journal of Zhejiang University of 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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