Jide Niu

1.4k total citations
58 papers, 1.1k citations indexed

About

Jide Niu is a scholar working on Building and Construction, Electrical and Electronic Engineering and Environmental Engineering. According to data from OpenAlex, Jide Niu has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Building and Construction, 38 papers in Electrical and Electronic Engineering and 15 papers in Environmental Engineering. Recurrent topics in Jide Niu's work include Building Energy and Comfort Optimization (42 papers), Integrated Energy Systems Optimization (23 papers) and Smart Grid Energy Management (19 papers). Jide Niu is often cited by papers focused on Building Energy and Comfort Optimization (42 papers), Integrated Energy Systems Optimization (23 papers) and Smart Grid Energy Management (19 papers). Jide Niu collaborates with scholars based in China, Hong Kong and Singapore. Jide Niu's co-authors include Zhe Tian, Yakai Lu, Yue Lu, Hongfang Zhao, Hejia Zhang, Ruoyu Zhou, Xinyi Lin, Jie Zhu, Peng Peng and Qiang Zhang and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Jide Niu

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jide Niu China 20 637 573 203 184 183 58 1.1k
Hangxin Li Hong Kong 17 592 0.9× 702 1.2× 249 1.2× 201 1.1× 281 1.5× 57 1.3k
Yakai Lu China 17 461 0.7× 469 0.8× 154 0.8× 111 0.6× 119 0.7× 36 783
Saman Taheri United States 14 374 0.6× 379 0.7× 170 0.8× 180 1.0× 96 0.5× 18 832
José A. Candanedo Canada 19 672 1.1× 963 1.7× 221 1.1× 204 1.1× 473 2.6× 62 1.4k
Rui Tang China 20 871 1.4× 709 1.2× 146 0.7× 414 2.3× 250 1.4× 56 1.3k
Philipp Heer Switzerland 15 370 0.6× 430 0.8× 126 0.6× 172 0.9× 152 0.8× 55 758
Massimo Fiorentini Australia 14 368 0.6× 768 1.3× 240 1.2× 220 1.2× 335 1.8× 33 1.1k
Maomao Hu Hong Kong 14 608 1.0× 578 1.0× 148 0.7× 178 1.0× 231 1.3× 27 909
Marcus Fuchs Germany 17 766 1.2× 847 1.5× 258 1.3× 163 0.9× 387 2.1× 33 1.3k
Rita Streblow Germany 19 543 0.9× 1.0k 1.8× 358 1.8× 206 1.1× 309 1.7× 105 1.4k

Countries citing papers authored by Jide Niu

Since Specialization
Citations

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

Fields of papers citing papers by Jide Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jide Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Jide Niu. A scholar is included among the top collaborators of Jide Niu 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 Jide Niu. Jide Niu 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.
Li, Xiaoyuan, et al.. (2025). Stochastic peak shaving scenario generation for grid-friendly building energy system design. Energy. 324. 135925–135925. 1 indexed citations
2.
Wang, Huilong, et al.. (2025). A novel RC-mapping model of building air conditioning systems dedicated to demand response and training condition analysis. Journal of Building Engineering. 108. 112774–112774.
3.
Tian, Zhe, et al.. (2025). Co-quantification of building energy flexibility considering the synergistic effect of HVAC and lighting systems. Energy and Buildings. 342. 115879–115879. 1 indexed citations
4.
Niu, Jide, et al.. (2025). A learning-based model predictive control method for unlocking the potential of building energy flexibility. Energy and Buildings. 330. 115299–115299. 8 indexed citations
5.
Tian, Zhe, et al.. (2024). Typical daily scenario extraction method based on key features to promote building renewable energy system optimization efficiency. Renewable Energy. 236. 121420–121420. 6 indexed citations
6.
Lu, Yue, et al.. (2024). A three-dimensional evaluation method for building energy systems to guide power grid-friendly interactions during the planning and operational stages. Journal of Building Engineering. 86. 108816–108816. 7 indexed citations
8.
Niu, Jide, Xiaoyuan Li, Zhe Tian, & Hongxing Yang. (2024). Uncertainty analysis of the electric vehicle potential for a household to enhance robustness in decision on the EV/V2H technologies. Applied Energy. 365. 123294–123294. 9 indexed citations
9.
Tian, Zhe, et al.. (2024). Optimizing operation strategy for geothermal cascade utilization heating system using calibrated full-performance model. Journal of Building Engineering. 98. 111448–111448. 3 indexed citations
10.
11.
Tian, Zhe, Xinyi Lin, Yakai Lu, Wenjie Song, & Jide Niu. (2023). Imbalanced data-oriented model learning method for ultra-short-term air conditioning load prediction. Energy and Buildings. 286. 112931–112931. 16 indexed citations
12.
Niu, Jide, Ruoyu Zhou, Zhe Tian, et al.. (2023). Energy-saving potential analysis for a 24-hour operating chiller plant using the model-based global optimization method. Journal of Building Engineering. 69. 106213–106213. 28 indexed citations
13.
Niu, Jide, et al.. (2023). Research on model calibration method of chiller plants based on error reverse correction with limited data. Building Simulation Conference proceedings. 18. 1 indexed citations
14.
Tian, Zhe, et al.. (2023). Accelerating Optimal Control Strategy Generation for HVAC Systems Using a Scenario Reduction Method: A Case Study. Energies. 16(7). 2988–2988. 4 indexed citations
15.
Lu, Yakai, et al.. (2023). Performance Evaluation Method of Day-Ahead Load Prediction Models in a District Heating and Cooling System: A Case Study. Energies. 16(14). 5402–5402. 1 indexed citations
16.
Niu, Jide, Xiaoyuan Li, Zhe Tian, & Hongxing Yang. (2023). A framework for quantifying the value of information to mitigate risk in the optimal design of distributed energy systems under uncertainty. Applied Energy. 350. 121717–121717. 15 indexed citations
17.
Niu, Jide, et al.. (2023). Research on Model Calibration Method of Chiller Plants Based on Error Reverse Correction with Limited Data. Energies. 16(2). 918–918. 2 indexed citations
18.
Tian, Zhe, Wenjie Song, Yakai Lu, Xinyi Lin, & Jide Niu. (2023). Load extraction from actual operation data for data-driven ultra-short-term room air-conditioning load prediction. Energy and Buildings. 296. 113348–113348. 12 indexed citations
19.
Tian, Zhe, et al.. (2023). An unsupervised data mining-based framework for evaluation and optimization of operation strategy of HVAC system. Energy. 291. 130043–130043. 26 indexed citations
20.
Tian, Zhe, et al.. (2020). Method for determining climatic design conditions based on the indoor thermal environment risk level. Energy and Built Environment. 2(1). 56–64. 4 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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