Ping Cui

6.2k total citations · 1 hit paper
170 papers, 5.1k citations indexed

About

Ping Cui is a scholar working on Renewable Energy, Sustainability and the Environment, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Ping Cui has authored 170 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Renewable Energy, Sustainability and the Environment, 51 papers in Mechanical Engineering and 38 papers in Civil and Structural Engineering. Recurrent topics in Ping Cui's work include Geothermal Energy Systems and Applications (65 papers), Soil and Unsaturated Flow (34 papers) and Metal-Organic Frameworks: Synthesis and Applications (25 papers). Ping Cui is often cited by papers focused on Geothermal Energy Systems and Applications (65 papers), Soil and Unsaturated Flow (34 papers) and Metal-Organic Frameworks: Synthesis and Applications (25 papers). Ping Cui collaborates with scholars based in China, Hong Kong and United States. Ping Cui's co-authors include Hongxing Yang, Zhen Fang, Zhaohong Fang, Bin Zhao, Peng Cheng, Wenke Zhang, Lin Lu, Pengfei Shi, Jie Dong and Mingzhi Yu and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Ping Cui

159 papers receiving 5.0k citations

Hit Papers

Vertical-borehole ground-coupled heat pumps: A review of ... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Cui China 37 2.2k 1.5k 1.2k 1.2k 972 170 5.1k
Mohamed A. Habib Saudi Arabia 46 833 0.4× 2.8k 1.9× 427 0.4× 1.5k 1.2× 460 0.5× 299 7.8k
Yuan Yuan China 37 2.4k 1.1× 693 0.5× 90 0.1× 1.5k 1.2× 671 0.7× 237 5.3k
Xin Li China 42 2.2k 1.0× 2.3k 1.6× 159 0.1× 1.6k 1.3× 334 0.3× 367 6.4k
Dacheng Li China 44 1.4k 0.6× 1.2k 0.8× 2.7k 2.2× 3.0k 2.5× 221 0.2× 420 7.0k
Xiuyan Wang China 33 390 0.2× 422 0.3× 254 0.2× 749 0.6× 210 0.2× 204 3.5k
Yong Shuai China 47 3.4k 1.5× 2.4k 1.6× 67 0.1× 1.7k 1.4× 1.4k 1.5× 378 8.8k
Jinjun Li China 47 1.8k 0.8× 1.0k 0.7× 590 0.5× 3.4k 2.9× 184 0.2× 217 6.6k
Ian D. Gates Canada 48 2.1k 0.9× 2.3k 1.5× 188 0.2× 2.0k 1.6× 135 0.1× 342 9.0k
Ming Chen China 56 1.8k 0.8× 2.0k 1.3× 661 0.5× 7.0k 5.8× 144 0.1× 428 11.1k
Haibo Zhao China 52 1.3k 0.6× 3.8k 2.5× 275 0.2× 3.7k 3.1× 92 0.1× 396 10.6k

Countries citing papers authored by Ping Cui

Since Specialization
Citations

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

Fields of papers citing papers by Ping Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Cui. A scholar is included among the top collaborators of Ping Cui 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 Ping Cui. Ping Cui 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.
Ling, Qiang, et al.. (2025). Decoding the molecular mechanisms of metaplast transformation in coal pyrolysis. Fuel. 412. 138138–138138.
2.
Yu, Yao, Mingzhi Yu, Yudong Mao, et al.. (2025). Operation characteristics of mid-deep U-type borehole heat exchanger with heat storage in non-heating seasons. Journal of Energy Storage. 111. 115379–115379. 2 indexed citations
3.
Liu, Ruijia, Wenshuo Zhang, Shaoqing Han, et al.. (2025). A numerical heat transfer model and performance evaluation of coaxial geothermal heat exchanger under soil freezing conditions. Applied Thermal Engineering. 266. 125538–125538. 1 indexed citations
4.
Cui, Ping, et al.. (2025). A novel finite cylindrical surface source model for ground heat exchanger in layered grounds & grouts. International Communications in Heat and Mass Transfer. 172. 110352–110352. 1 indexed citations
5.
Wang, Kexun, et al.. (2024). Analysis of the factors influencing heat transfer and control strategy optimization for Medium-Shallow array borehole heat exchangers. Applied Thermal Engineering. 244. 122788–122788. 10 indexed citations
6.
Riaz, Muhammad, Rakesh Kumar Gupta, Di Sun, Mohammad Azam, & Ping Cui. (2024). Selective adsorption of organic dyes and iodine by a two-dimensional cobalt(II) metal-organic framework. Chinese Journal of Structural Chemistry. 43(12). 100427–100427. 7 indexed citations
7.
Yu, Mingzhi, et al.. (2024). Influence of ground source heat exchanger operation modes on multi-borehole mid-deep ground source heat pump system performance. Geothermics. 125. 103186–103186. 4 indexed citations
8.
Cui, Ping, Wenshuo Zhang, Ruijia Liu, Lin Lu, & Linrui Jia. (2024). Analytical model development for vertical medium/deep ground heat exchangers with U-tube(s). International Communications in Heat and Mass Transfer. 159. 107969–107969.
9.
Tian, Yuan, et al.. (2024). Study on long-term operation characteristics of the medium-deep ground source heat pump system with solar heat storage. Applied Thermal Engineering. 241. 122345–122345. 19 indexed citations
11.
Cui, Ping, et al.. (2024). Lateral Offset Detection Method Based on Deep Learning for Mixed Traffic. Journal of Engineering Science and Technology Review. 17(4). 119–127.
12.
Zhang, Wenke, et al.. (2024). Investigation of Theoretical Models, Pumping-Recharge Well Arrangements and System Performance of Abandoned Mine Water Source Heat Pump. Energy and Built Environment. 6(3). 495–508. 2 indexed citations
13.
Jia, Linrui, et al.. (2023). A novel study on influence of ground surface boundary conditions on thermal performance of vertical U-shaped ground heat exchanger. Sustainable Cities and Society. 100. 105022–105022. 14 indexed citations
14.
Jia, Linrui, Ping Cui, Lin Lu, Jianheng Chen, & Zheng Cao. (2023). Parametric analysis and potential evaluation of an all-day radiative sky cooling radiator-assisted ground source heat pump system. Applied Thermal Engineering. 240. 122285–122285. 9 indexed citations
16.
Du, Ying, et al.. (2020). OCGNN: One-class Classification with Graph Neural Networks.. arXiv (Cornell University). 4 indexed citations
17.
Zhang, Xue, Jing Qiao, Jinbo Zhao, et al.. (2019). High-Efficiency Electromagnetic Wave Absorption of Cobalt-Decorated NH2-UIO-66-Derived Porous ZrO2/C. ACS Applied Materials & Interfaces. 11(39). 35959–35968. 177 indexed citations
18.
Zhang, Xue, Jing Qiao, Chang Liu, et al.. (2019). A MOF-derived ZrO2/C nanocomposite for efficient electromagnetic wave absorption. Inorganic Chemistry Frontiers. 7(2). 385–393. 81 indexed citations
19.
Cui, Ping & Fengsheng Li. (2006). Preparation and Thermal Decomposition Behavior of Carbon Nanotubes/Ammonium Perchlorate Composite Particles. Chinese Journal of Explosives and Propellants. 3 indexed citations
20.
Cui, Ping. (2001). Analysis on discontinuous operation of geothermal heat exchangers of the ground-source heat pump systems. 9 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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