Feng Yan

2.0k total citations · 1 hit paper
68 papers, 1.6k citations indexed

About

Feng Yan is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Feng Yan has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Electrical and Electronic Engineering, 42 papers in Materials Chemistry and 14 papers in Polymers and Plastics. Recurrent topics in Feng Yan's work include Quantum Dots Synthesis And Properties (32 papers), Perovskite Materials and Applications (32 papers) and Chalcogenide Semiconductor Thin Films (26 papers). Feng Yan is often cited by papers focused on Quantum Dots Synthesis And Properties (32 papers), Perovskite Materials and Applications (32 papers) and Chalcogenide Semiconductor Thin Films (26 papers). Feng Yan collaborates with scholars based in United States, China and Australia. Feng Yan's co-authors include Lin Li, Lingyan Kong, Liping Guo, Xiaofeng Qian, Baiyu Zhang, Songnan Li, S. N. Vijayaraghavan, Guozhong Xing, Liang Gao and Kai Song and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Carbon.

In The Last Decade

Feng Yan

63 papers receiving 1.5k citations

Hit Papers

Recent advances in electrospinning of nanofibers from bio... 2022 2026 2023 2024 2022 40 80 120
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. Recent advances in electrospinning of nanofibers from bio-based carbohydrate polymers and their applications
    2022 145 citations Feng Yan, Lingyan Kong et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Yan United States 22 816 786 253 243 187 68 1.6k
Xiaoyu Wang China 21 567 0.7× 760 1.0× 90 0.4× 79 0.3× 174 0.9× 83 1.4k
Lijie Chen China 25 665 0.8× 351 0.4× 518 2.0× 234 1.0× 362 1.9× 108 1.7k
Changpeng Li China 25 778 1.0× 362 0.5× 555 2.2× 300 1.2× 529 2.8× 55 2.1k
Jong‐Kwon Lee South Korea 19 839 1.0× 1.0k 1.3× 211 0.8× 58 0.2× 400 2.1× 79 1.9k
Guozhi Zhang China 23 1.4k 1.7× 1.1k 1.4× 203 0.8× 88 0.4× 314 1.7× 112 2.4k
Yong He China 23 836 1.0× 429 0.5× 441 1.7× 182 0.7× 294 1.6× 148 1.8k
Shichen Li China 21 533 0.7× 284 0.4× 345 1.4× 76 0.3× 193 1.0× 124 1.4k
Yimin Chen China 23 1.0k 1.2× 766 1.0× 262 1.0× 38 0.2× 249 1.3× 125 1.7k
Shumin Zhang China 23 572 0.7× 1.7k 2.1× 192 0.8× 45 0.2× 328 1.8× 106 2.4k
Yucheng Li China 23 723 0.9× 1.1k 1.4× 67 0.3× 237 1.0× 268 1.4× 104 2.0k

Countries citing papers authored by Feng Yan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Yan. A scholar is included among the top collaborators of Feng Yan 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 Feng Yan. Feng Yan 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.
Gu, Xiaoyu, et al.. (2025). Low-dimensional carbon materials decorated FAPbI3 for carbon-based perovskite solar cells. Carbon. 235. 120034–120034. 2 indexed citations
2.
Li, Ying, et al.. (2025). Comparison of machine learning and logistic regression models for predicting emergence delirium in elderly patients: A prospective study. International Journal of Medical Informatics. 199. 105888–105888. 1 indexed citations
3.
4.
Awni, Rasha A., Lorelle M. Mansfield, Randy J. Ellingson, et al.. (2025). Doping in Efficient Polycrystalline CdSeTe Solar Cells via AsCl3 Vapor Annealing. ACS Applied Energy Materials. 8(7). 4265–4271.
5.
Zheng, Yufeng, et al.. (2025). Rapid Thermal Selenization Enhanced Efficiency in Sb2Se3 Thin Film Solar Cells with Superstrate Configuration. ACS Applied Materials & Interfaces. 17(9). 13814–13823. 5 indexed citations
6.
Qian, Xiaofeng, et al.. (2024). Solution‐Processed Sb2(S,Se)3 Seed‐Assisted Sb2Se3 Thin Film Growth for High Efficiency Solar Cell. Solar RRL. 8(11). 6 indexed citations
7.
Yan, Feng, et al.. (2024). Device simulation and experimental validation of perovskite-cadmium telluride 4T tandem solar cell. Frontiers in Energy Research. 12. 3 indexed citations
8.
9.
Luo, Kun, Xiao Han, Dian Li, et al.. (2024). Hyper‐Elastic Deformation via Martensitic Phase Transformation in Cadmium Telluride. Advanced Engineering Materials. 26(16). 2 indexed citations
10.
Chen, Zelin, Feng Yan, Daohu Sheng, et al.. (2024). Regulating polarization loss behavior of WS2/WO3/PPy nanocomposites by interface engineering to enhance electromagnetic wave absorption performance. Colloids and Surfaces A Physicochemical and Engineering Aspects. 708. 136014–136014. 1 indexed citations
11.
12.
Zhang, Lei, Hui Li, Haiying Qin, et al.. (2024). Recent progress in high‐entropy nanocatalysts. 1(2). 7 indexed citations
13.
Zhang, Xinwen, Chengbin Fei, Lening Shen, et al.. (2023). Manipulating Nucleation and Crystal Growth of Inorganic Perovskite Solar Cells. ACS Applied Materials & Interfaces. 15(32). 38522–38529. 7 indexed citations
14.
Bista, Sandip S., Zhaoning Song, You Li, et al.. (2023). High Open Circuit Voltage with Organic Hole Transport Layers in Group V Doped CdSeTe Solar Cells. 1–4. 1 indexed citations
15.
Yao, Yi, et al.. (2022). Processing induced nanoscale heterogeneity impact on the mechanical and electrical behavior of Cu–Zr thin film metallic glasses. SHILAP Revista de lepidopterología. 10. 100094–100094. 3 indexed citations
16.
Shrestha, Shreetu, Exian Liu, L. B. Coleman, et al.. (2021). In-situ observation of trapped carriers in organic metal halide perovskite films with ultra-fast temporal and ultra-high energetic resolutions. Nature Communications. 12(1). 1636–1636. 16 indexed citations
17.
Yao, Yi, Timothy Sullivan, Feng Yan, Jiaqi Gong, & Lin Li. (2021). Balancing data for generalizable machine learning to predict glass-forming ability of ternary alloys. Scripta Materialia. 209. 114366–114366. 28 indexed citations
18.
Guo, Liping, Corey R. Grice, Baiyu Zhang, et al.. (2019). Improved stability and efficiency of CdSe/Sb2Se3 thin-film solar cells. Solar Energy. 188. 586–592. 39 indexed citations
19.
Guo, Liping, Baiyu Zhang, Shan Li, et al.. (2019). Scalable and efficient Sb2S3 thin-film solar cells fabricated by close space sublimation. APL Materials. 7(4). 91 indexed citations
20.

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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