Pan Yang

1.8k total citations
82 papers, 1.5k citations indexed

About

Pan Yang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Pan Yang has authored 82 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Materials Chemistry, 32 papers in Electrical and Electronic Engineering and 16 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Pan Yang's work include Perovskite Materials and Applications (12 papers), Conducting polymers and applications (11 papers) and Electrocatalysts for Energy Conversion (11 papers). Pan Yang is often cited by papers focused on Perovskite Materials and Applications (12 papers), Conducting polymers and applications (11 papers) and Electrocatalysts for Energy Conversion (11 papers). Pan Yang collaborates with scholars based in China, United States and France. Pan Yang's co-authors include Xiaochong Zhao, Lijun Yang, Jingchuan Wang, Pengxiang Zhao, Ruizhu Yang, Yuxin Zhang, Zijun Hu, Da Chen, Zhanhu Guo and Didier Astruc and has published in prestigious journals such as Advanced Materials, Chemical Communications and Journal of Materials Chemistry A.

In The Last Decade

Pan Yang

77 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Yang China 23 728 645 350 309 276 82 1.5k
Lian Ma China 23 847 1.2× 797 1.2× 236 0.7× 693 2.2× 465 1.7× 101 1.8k
Swapan Kumar Bhattacharya India 23 846 1.2× 704 1.1× 320 0.9× 673 2.2× 430 1.6× 70 1.7k
Wisanu Pecharapa Thailand 23 702 1.0× 1.3k 1.9× 274 0.8× 519 1.7× 232 0.8× 170 2.1k
Xiaoying Zhang China 24 1.1k 1.5× 792 1.2× 200 0.6× 612 2.0× 465 1.7× 99 2.0k
Xiao Chen China 17 735 1.0× 715 1.1× 263 0.8× 221 0.7× 420 1.5× 56 1.6k
Hamdy F. M. Mohamed Egypt 23 759 1.0× 454 0.7× 297 0.8× 220 0.7× 119 0.4× 109 1.6k
Challapalli Subrahmanyam India 25 921 1.3× 1.1k 1.8× 151 0.4× 640 2.1× 149 0.5× 75 2.0k
Jifu Shi China 26 1.3k 1.7× 651 1.0× 344 1.0× 600 1.9× 352 1.3× 57 2.2k
Wenli Li China 20 631 0.9× 513 0.8× 242 0.7× 174 0.6× 336 1.2× 76 1.3k

Countries citing papers authored by Pan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Pan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Yang. A scholar is included among the top collaborators of Pan Yang 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 Pan Yang. Pan Yang 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.
Yang, Lin, et al.. (2025). An innovative data-driven grey Bernoulli model for the port container throughput forecasting. Applied Mathematical Modelling. 154. 116709–116709.
2.
Xu, Kangkang, et al.. (2024). A new online SOC estimation method using broad learning system and adaptive unscented Kalman filter algorithm. Energy. 309. 132920–132920. 9 indexed citations
3.
Yang, Pan, Meng‐Xiang Sun, Jingchuan Wang, et al.. (2024). High-entropy sulfurization enables efficient non-noble metal-based NiCoFeCuS electrocatalyst for alkaline oxygen evolution reaction. Particuology. 93. 180–185. 3 indexed citations
4.
Yang, Pan, et al.. (2024). Experimental study on mechanical damage characteristics of water-bearing tar-rich coal under microwave radiation. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 10(1). 3 indexed citations
5.
Yang, Pan, et al.. (2023). Joint evaluation and prediction of SOH and RUL for lithium batteries based on a GBLS booster multi-task model. Journal of Energy Storage. 75. 109741–109741. 36 indexed citations
6.
Hu, Xun, Pan Yang, Na Gao, et al.. (2023). Enhanced performance of AlGaN-based deep-UV LED by incorporating carrier injection balanced modulation layer synergistically with polarization-regulating structures. Journal of Physics D Applied Physics. 57(7). 75101–75101. 2 indexed citations
7.
Wang, Yadi, et al.. (2023). Label-free analysis of biofilm phenotypes by infrared micro- and correlation spectroscopy. Analytical and Bioanalytical Chemistry. 415(17). 3515–3523. 4 indexed citations
8.
Hu, Huashuai, et al.. (2023). First principle study on high-entropy perovskites Ca(Ti0.25Zr0.25Hf0.25Sn0.25)O3 and Ca(Ti0.25Zr0.25Hf0.25Ce0.25)O3 as thermal barrier coatings. Materials Chemistry and Physics. 297. 127460–127460. 4 indexed citations
9.
Zhu, Sui, Qian Wang, Liang Chen, et al.. (2022). Long-term exposure to ambient air pollution and greenness in relation to pulmonary tuberculosis in China: A nationwide modelling study. Environmental Research. 214(Pt 3). 114100–114100. 18 indexed citations
10.
Yang, Pan, et al.. (2020). Facile synthesis and characterization of nano-Pd loaded NiCo microfibers as stable catalysts for hydrogen generation from sodium borohydride. Chemical Physics Letters. 743. 137170–137170. 26 indexed citations
11.
Yang, Lijun, Jun Tang, Yawei Hao, et al.. (2020). Large-scale synthesis of CH3NH3BF4 crystal and its application on CH3NH3PbBrx(BF4)(3-x) perovskite thin films. Chemical Physics Letters. 754. 137638–137638. 13 indexed citations
12.
13.
Yang, Lijun, Pan Yang, Ruizhu Yang, et al.. (2019). Low-temperature fabrication of carbon nanofibers with improved graphitization via incorporating carbonaceous inclusions. Polyhedron. 164. 13–16. 4 indexed citations
14.
Xue, Song, Pan Yang, Jingchuan Wang, et al.. (2019). NiFePd/UiO-66 nanocomposites as highly efficient catalysts to accelerate hydrogen evolution from hydrous hydrazine. Inorganic Chemistry Frontiers. 6(10). 2727–2735. 22 indexed citations
15.
Yang, Lijun, Pan Yang, Jingchuan Wang, et al.. (2019). Low-temperature preparation of crystallized graphite nanofibers for high performance perovskite solar cells. Solar Energy. 193. 205–211. 5 indexed citations
16.
Yang, Pan, Lijun Yang, Qiang Gao, et al.. (2019). Anchoring carbon nanotubes and post-hydroxylation treatment enhanced Ni nanofiber catalysts towards efficient hydrous hydrazine decomposition for effective hydrogen generation. Chemical Communications. 55(61). 9011–9014. 109 indexed citations
17.
Zhao, Xiaochong, Pan Yang, Lijun Yang, et al.. (2018). Enhanced Electrochemical Performance of Cu2+ doped TiO2 Nanoparticles for Lithium-ion Battery. ES Materials & Manufacturing. 32 indexed citations
18.
You, Lü, Pan Yang, Tom Wu, et al.. (2010). Uniaxial Magnetic Anisotropy in La0.7Sr0.3MnO3 Thin Films Induced by Multiferroic BiFeO3 with Striped Ferroelectric Domains. Advanced Materials. 22(44). 4964–4968. 51 indexed citations
19.
Yang, Pan. (2009). Model of drain diffusion of chloroethylene. 1 indexed citations
20.
Yang, Pan. (2003). Study on the key technology of computer aided assembly process planning. Modern Machinery.

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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