Ping Yuan

759 total citations
34 papers, 614 citations indexed

About

Ping Yuan is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Ping Yuan has authored 34 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 10 papers in Mechanical Engineering and 9 papers in Materials Chemistry. Recurrent topics in Ping Yuan's work include Heat Transfer and Optimization (10 papers), Advancements in Solid Oxide Fuel Cells (9 papers) and Fuel Cells and Related Materials (9 papers). Ping Yuan is often cited by papers focused on Heat Transfer and Optimization (10 papers), Advancements in Solid Oxide Fuel Cells (9 papers) and Fuel Cells and Related Materials (9 papers). Ping Yuan collaborates with scholars based in Taiwan, China and Hong Kong. Ping Yuan's co-authors include Hong‐Sen Kou, Tzu‐Ching Shih, Hsin‐Sen Chu, Hsueh‐Erh Liu, Chih‐Wei Chen, Hsien‐Ming Lee, Chih‐Fu Wu, Hui Zeng, Qingshen Jing and Yuanwei Jing and has published in prestigious journals such as Journal of Power Sources, International Journal of Hydrogen Energy and International Journal of Heat and Mass Transfer.

In The Last Decade

Ping Yuan

30 papers receiving 586 citations

Peers

Ping Yuan

RNMI

Hong‐Sen Kou Taiwan

Po‐Jen Cheng Taiwan

Matti Malinen Finland

Mauricio D. Pérez Sweden

K. Ting Taiwan

Malak Naji Jordan

Aydin Nabovati Canada

Ikuo IHARA Japan

Scott Whalen United States

Hong‐Sen Kou Taiwan

Ping Yuan

428 ×1.8

238 ×1.0

425 ×2.5

48 ×0.3

155 ×1.2

RNMI

Citations per year, relative to Ping Yuan Ping Yuan (= 1×) peers Hong‐Sen Kou

Countries citing papers authored by Ping Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Ping Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Yuan. A scholar is included among the top collaborators of Ping Yuan 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 Yuan. Ping Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yuan, Ping, et al.. (2025). Stagewise edge expansion physics-informed neural networks for solving PDEs. Neurocomputing. 654. 131318–131318.

Zhang, Yanming, Wenchao Xu, Min Li, et al.. (2024). A Tensor-Based Data-Driven Approach for Multidimensional Harmonic Retrieval and Its Application for MIMO Channel Sounding. IEEE Internet of Things Journal. 12(3). 2854–2865. 1 indexed citations

Yuan, Ping, Yanming Zhang, & Lijun Jiang. (2024). Uncertainty Quantification in PEEC Method: A Physics-Informed Neural Networks-Based Polynomial Chaos Expansion. IEEE Transactions on Electromagnetic Compatibility. 66(6). 2095–2101.

Yuan, Ping, Yanming Zhang, & Lijun Jiang. (2024). Uncertainty Quantification for PEEC Based on Wasserstein Generative Adversarial Network. IEEE Transactions on Electromagnetic Compatibility. 66(6). 2048–2055.

Yuan, Ping, et al.. (2019). Transient analysis of a solid oxide fuel cell unit with reforming and water-shift reaction and the building of neural network model for rapid prediction in electrical and thermal performance. International Journal of Hydrogen Energy. 45(1). 924–936. 11 indexed citations

Yuan, Ping, et al.. (2016). Effect of non-uniform inlet flow rate on the heat-up process of a solid oxide fuel cell unit with cross-flow configuration. International Journal of Hydrogen Energy. 41(28). 12377–12386. 13 indexed citations

Lee, Hsien‐Ming, et al.. (2014). Thermal and Electrical Analysis in a Solid Oxide Fuel Cell Stack Using a Curved Profile for the Inlet Flow Rate Along the Stacking Direction. International Journal of Green Energy. 12(2). 117–124. 4 indexed citations

Yuan, Ping, et al.. (2014). Temperature analysis of a biological tissue during hyperthermia therapy in the thermal non-equilibrium porous model. International Journal of Thermal Sciences. 78. 124–131. 20 indexed citations

Yuan, Ping, et al.. (2011). Estimation of the equivalent perfusion rate of Pennes model in an experimental bionic tissue without blood flow. International Communications in Heat and Mass Transfer. 39(2). 236–241. 8 indexed citations

10.

Yuan, Ping, et al.. (2011). Electrical and Thermal Performance of a Solid Oxide Fuel Cell Unit With Nonuniform Inlet Flow and High Fuel Utilization. Journal of Fuel Cell Science and Technology. 8(3). 3 indexed citations

11.

Yuan, Ping. (2010). An Electric Arc Model of AC Electric Arc Furnace for Research on Voltage Fluctuation. Power System Technology. 5 indexed citations

12.

Yuan, Ping. (2009). Construction of T-S fuzzy system and the sufficient condition of its approximation ability. Control theory & applications. 1 indexed citations

13.

Jing, Yuanwei, Hui Zeng, Qingshen Jing, & Ping Yuan. (2008). ATM Rate Based Traffic Control with Bode Principle. International Journal of Control Automation and Systems. 6(2). 214–222. 2 indexed citations

14.

Yuan, Ping, Hsueh‐Erh Liu, Chih‐Wei Chen, & Hong‐Sen Kou. (2008). Temperature response in biological tissue by alternating heating and cooling modalities with sinusoidal temperature oscillation on the skin. International Communications in Heat and Mass Transfer. 35(9). 1091–1096. 20 indexed citations

15.

Yuan, Ping & Hong‐Sen Kou. (2006). The Optimal Aspect Ratio on the Thermal Performance in a Crossflow Heat Exchanger with Longitudinal Wall Conduction. Heat Transfer Engineering. 27(10). 36–43. 3 indexed citations

16.

Chu, Hsin‐Sen, et al.. (2006). Effect of inlet flow maldistribution on the thermal and electrical performance of a molten carbonate fuel cell unit. Journal of Power Sources. 161(2). 1030–1040. 15 indexed citations

17.

Yuan, Ping & Hong‐Sen Kou. (2003). ENTROPY GENERATION ON A CROSSFLOW HEAT EXCHANGER INCLUDING THREE GAS STREAMS WITH DIFFERENT ARRANGEMENTS AND THE EFFECT OF LONGITUDINAL WALL CONDUCTION. Numerical Heat Transfer Part A Applications. 43(6). 619–638. 10 indexed citations

18.

Kou, Hong‐Sen & Ping Yuan. (1998). The Effect of Longitudinal Wall Conduction on the Crossflow Heat Exchanger with Nonuniform Inlet Temperatures. Heat Transfer Engineering. 19(2). 54–63. 15 indexed citations

19.

Yuan, Ping & Hong‐Sen Kou. (1998). THE EFFECT OF LONGITUDINAL WALL CONDUCTION IN A THREE-FLUID CROSSFLOW HEAT EXCHANGER. Numerical Heat Transfer Part A Applications. 34(2). 135–150. 17 indexed citations

20.

Kou, Hong‐Sen & Ping Yuan. (1997). Thermal performance of crossflow heat exchanger with nonuniform inlet temperatures. International Communications in Heat and Mass Transfer. 24(3). 357–370. 16 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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