Pingan Ni

485 total citations · 1 hit paper
34 papers, 316 citations indexed

About

Pingan Ni is a scholar working on Building and Construction, Environmental Engineering and Artificial Intelligence. According to data from OpenAlex, Pingan Ni has authored 34 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Building and Construction, 14 papers in Environmental Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Pingan Ni's work include Building Energy and Comfort Optimization (18 papers), Wind and Air Flow Studies (8 papers) and Solar Radiation and Photovoltaics (7 papers). Pingan Ni is often cited by papers focused on Building Energy and Comfort Optimization (18 papers), Wind and Air Flow Studies (8 papers) and Solar Radiation and Photovoltaics (7 papers). Pingan Ni collaborates with scholars based in China, Australia and Malaysia. Pingan Ni's co-authors include Guojin Qin, Zengfeng Yan, Fuming Lei, Yihuan Wang, Shanshan Yao, Ruiling Li, Bohong Wang, Qian Liu, Yan Xia and Junjie Zhang and has published in prestigious journals such as Journal of Cleaner Production, Energy Policy and Construction and Building Materials.

In The Last Decade

Pingan Ni

28 papers receiving 294 citations

Hit Papers

An interpretable machine learning model for failure press... 2025 2026 2025 5 10 15
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. An interpretable machine learning model for failure pressure prediction of blended hydrogen natural gas pipelines containing a crack-in-dent defect
    2025 17 citations Guojin Qin, Bohong Wang et al. Energy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pingan Ni China 12 138 109 60 42 42 34 316
Zengfeng Yan China 13 203 1.5× 119 1.1× 51 0.8× 47 1.1× 56 1.3× 34 457
Joyce Correna Carlo Brazil 11 281 2.0× 173 1.6× 46 0.8× 23 0.5× 55 1.3× 54 369
Lokman Hakim Ismail Malaysia 11 211 1.5× 102 0.9× 22 0.4× 53 1.3× 18 0.4× 48 402
Silvia Guillén-Lambea Spain 12 220 1.6× 164 1.5× 91 1.5× 20 0.5× 100 2.4× 17 392
Amós García-Cruz Spain 7 174 1.3× 142 1.3× 40 0.7× 31 0.7× 56 1.3× 11 388
Ammar H.A. Dehwah United States 13 298 2.2× 164 1.5× 54 0.9× 69 1.6× 82 2.0× 21 419
Mingya Zhu China 9 278 2.0× 154 1.4× 55 0.9× 17 0.4× 79 1.9× 18 381
Yumin Liang China 10 310 2.2× 159 1.5× 95 1.6× 20 0.5× 89 2.1× 20 484
Abdo Abdullah Ahmed Gassar South Korea 6 251 1.8× 157 1.4× 51 0.8× 102 2.4× 93 2.2× 9 434
Jacopo Dell’Olmo Italy 6 346 2.5× 185 1.7× 35 0.6× 14 0.3× 88 2.1× 10 410

Countries citing papers authored by Pingan Ni

Since Specialization
Citations

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

Fields of papers citing papers by Pingan Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingan Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Pingan Ni. A scholar is included among the top collaborators of Pingan Ni 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 Pingan Ni. Pingan Ni 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.
Yao, Shanshan, et al.. (2025). Multi-performance coupled optimization drives low-carbon retrofitting of site museums. Building and Environment. 272. 112689–112689. 3 indexed citations
2.
Qin, Guojin, et al.. (2025). An interpretable machine learning model for failure pressure prediction of blended hydrogen natural gas pipelines containing a crack-in-dent defect. Energy. 320. 135401–135401. 17 indexed citations breakdown →
3.
Yan, Zengfeng, et al.. (2025). Resolving multi-objective conflicts in earth-air heat exchanger (EAHE): A prediction-analysis-optimization framework. Renewable Energy. 256. 124160–124160. 1 indexed citations
4.
Gao, Mingzhong, Yidan Feng, Pingan Ni, et al.. (2025). Solar energy potential evaluation of multi-scale urban building surfaces under complex shading: A multi-dimensional analysis. Renewable Energy. 259. 125010–125010.
5.
Ni, Pingan, Fuming Lei, Haochi Zheng, et al.. (2025). Potential and challenges of urban building surface solar energy utilization in solar resource non-enriched areas, China. Energy. 332. 137163–137163. 3 indexed citations
6.
Ni, Pingan, Junwei Fan, Fuming Lei, et al.. (2025). Cooling demand-driven urban solar energy potential for low-carbon transition: Insights from Xiamen, China. Sustainable Cities and Society. 128. 106473–106473. 4 indexed citations
7.
Tao, Ye, Zengfeng Yan, Pingan Ni, et al.. (2025). Capturing available solar energy on urban-scale building surface: A multi-dimensional perspective. Energy and Buildings. 344. 115989–115989. 4 indexed citations
8.
Ni, Pingan, Zengfeng Yan, Duo Zhang, et al.. (2025). Dynamic evaluation and prediction of solar radiation effects on large-scale semi-open built heritage surfaces. Environmental Impact Assessment Review. 117. 108232–108232. 1 indexed citations
9.
Yan, Zengfeng, et al.. (2025). Differential degradation characteristics of complex-shaped earthen heritage sites under wind erosion. Construction and Building Materials. 481. 141469–141469. 1 indexed citations
10.
Zhang, Xue, et al.. (2024). Multi-factor dynamic correlation prediction and analysis of carbon peaking for building sector: A case study of Shaanxi province. Sustainable Cities and Society. 117. 105960–105960. 8 indexed citations
11.
Yan, Zengfeng, et al.. (2024). Machine learning-based multi-performance prediction and analysis of Earth-Air Heat Exchanger. Renewable Energy. 227. 120550–120550. 16 indexed citations
12.
Yan, Zengfeng, et al.. (2024). Enhancing the performance of earth-air heat exchanger: A flexible multi-objective optimization framework. Applied Thermal Engineering. 244. 122718–122718. 18 indexed citations
13.
Qin, Guojin, Ruiling Li, Ming Yang, et al.. (2024). Failure probability estimation of natural gas pipelines due to hydrogen embrittlement using an improved fuzzy fault tree approach. Journal of Cleaner Production. 448. 141601–141601. 24 indexed citations
14.
Ni, Pingan, et al.. (2024). Artificial Cognition to Predict and Explain the Potential Unsafe Behaviors of Construction Workers. Journal of Construction Engineering and Management. 150(7). 6 indexed citations
15.
Ni, Pingan, et al.. (2023). The pathway of regional carbon peak in building sector: A case study of Central China. Journal of Building Engineering. 80. 108031–108031. 13 indexed citations
16.
Ni, Pingan, et al.. (2023). Simulation of solar radiation on metropolitan building surfaces: A novel and flexible research framework. Sustainable Cities and Society. 93. 104469–104469. 27 indexed citations
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19.
Qin, Guojin, et al.. (2021). Analysis of road traffic speed in Kunming plateau mountains: a fusion PSO-LSTM algorithm. International Journal of Urban Sciences. 26(1). 87–107. 24 indexed citations
20.
Ni, Pingan, et al.. (2021). Sensitivity analysis of design parameters of envelope enclosure performance in the dry-hot and dry-cold areas. Applied Mathematics and Nonlinear Sciences. 8(1). 195–208. 8 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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