Yangming Lin

3.3k total citations · 1 hit paper
58 papers, 2.9k citations indexed

About

Yangming Lin is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Yangming Lin has authored 58 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Renewable Energy, Sustainability and the Environment, 30 papers in Materials Chemistry and 28 papers in Electrical and Electronic Engineering. Recurrent topics in Yangming Lin's work include Electrocatalysts for Energy Conversion (24 papers), Catalytic Processes in Materials Science (13 papers) and Fuel Cells and Related Materials (10 papers). Yangming Lin is often cited by papers focused on Electrocatalysts for Energy Conversion (24 papers), Catalytic Processes in Materials Science (13 papers) and Fuel Cells and Related Materials (10 papers). Yangming Lin collaborates with scholars based in China, Germany and United States. Yangming Lin's co-authors include Dang Sheng Su, Bingsen Zhang, Danzhen Li, Xianzhi Fu, Wenjuan Li, Linghui Yu, Dangsheng Su, Dangsheng Su, Junhua Hu and Guangcan Xiao and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Angewandte Chemie International Edition.

In The Last Decade

Yangming Lin

54 papers receiving 2.9k citations

Hit Papers

Highly Efficient Photocatalytic Degradation of Organic Po... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yangming Lin China 30 1.7k 1.5k 1.1k 441 343 58 2.9k
Shumin Li China 32 2.3k 1.3× 1.5k 1.0× 1.5k 1.4× 351 0.8× 282 0.8× 80 3.2k
Xiao Yan China 28 1.6k 0.9× 1.6k 1.0× 1.6k 1.5× 263 0.6× 627 1.8× 87 3.5k
Long Kuai China 35 2.5k 1.5× 1.7k 1.1× 1.9k 1.8× 518 1.2× 579 1.7× 71 3.7k
Rui Song China 30 1.4k 0.8× 1.9k 1.2× 916 0.8× 207 0.5× 428 1.2× 88 2.8k
Laura Calvillo Italy 34 2.1k 1.2× 1.6k 1.1× 1.5k 1.4× 201 0.5× 575 1.7× 96 3.2k
Dongfeng Zhang China 27 915 0.5× 2.1k 1.4× 1.1k 1.0× 242 0.5× 502 1.5× 59 3.1k
Thangavel Sakthivel India 36 2.2k 1.3× 2.0k 1.3× 1.7k 1.5× 304 0.7× 567 1.7× 71 3.8k
Hao Li China 36 1.2k 0.7× 2.1k 1.4× 1.5k 1.4× 377 0.9× 459 1.3× 127 3.4k
Xiaofeng Wu China 29 1.4k 0.8× 1.7k 1.1× 1.3k 1.2× 138 0.3× 520 1.5× 144 3.1k
Lixue Xia China 28 2.1k 1.2× 1.4k 0.9× 1.9k 1.7× 205 0.5× 316 0.9× 44 3.3k

Countries citing papers authored by Yangming Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yangming Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangming Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yangming Lin. A scholar is included among the top collaborators of Yangming Lin 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 Yangming Lin. Yangming Lin 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
2.
Xu, Jiawei, et al.. (2025). Benzothiophene-based covalent organic frameworks for H2O2 electrosynthesis: the critical role of conjugated structure. Journal of Materials Chemistry A. 13(20). 14716–14725. 1 indexed citations
3.
4.
Liu, Jinli, et al.. (2025). Surface hybrid engineering of nanodiamonds for boosting electrocatalytic hydrogen peroxide production with high efficiency and stability. Journal of Energy Chemistry. 109. 15–23. 3 indexed citations
5.
Yu, Linghui, et al.. (2024). Recent Advances in Mechanistic Understanding of Metal-Free Carbon Thermocatalysis and Electrocatalysis with Model Molecules. Nano-Micro Letters. 16(1). 125–125. 8 indexed citations
6.
Yang, Bingxin, et al.. (2024). Reducing Water Absorption and Improving Flexural Strength of Aluminosilicate Ceramics by MnO2 Doping. Materials. 17(11). 2557–2557. 2 indexed citations
7.
Wan, Yan, Mo Zhang, & Yangming Lin. (2024). Low-melting point metals facilitate synthesis of Pt-based intermetallic nanocrystals. Frontiers in Energy. 18(6). 727–729. 1 indexed citations
8.
Chen, Fang, et al.. (2024). Borocarbonitride materials as metal-free catalysts for advanced catalysis. Journal of Materials Chemistry A. 12(48). 33392–33426. 4 indexed citations
9.
Wan, Yan, Linghui Yu, Caihong Li, et al.. (2024). Fe-N-C core–shell catalysts with single low-spin Fe(II)-N4 species for oxygen reduction reaction and high-performance proton exchange membrane fuel cells. Journal of Energy Chemistry. 93. 538–546. 11 indexed citations
10.
Wan, Yan, et al.. (2024). Lowering the kinetic barrier via enhancing electrophilicity of surface oxygen to boost acidic oxygen evolution reaction. Chinese Journal of Structural Chemistry. 43(11). 100345–100345. 7 indexed citations
11.
Wan, Yan, et al.. (2024). Machine learning identifies efficient Ru-based electrocatalysts. Chemical Synthesis. 4(4). 1 indexed citations
12.
Lin, Yangming, et al.. (2023). Binder‐Free N‐Functionalized Carbon Electrodes for Oxygen Evolution Reaction. ChemElectroChem. 10(6). 9 indexed citations
13.
Lin, Yangming, et al.. (2023). Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter. BMC Medical Informatics and Decision Making. 23(1). 217–217. 11 indexed citations
14.
Wu, Kuang‐Hsu, Yuefeng Liu, Xin Tan, et al.. (2022). Regulating electron transfer over asymmetric low-spin Co(II) for highly selective electrocatalysis. Chem Catalysis. 2(2). 372–385. 68 indexed citations
15.
Wu, Kuang‐Hsu, Qingran Zhang, Yangming Lin, et al.. (2020). Real‐Time Carbon Monoxide Detection using a Rotating Gold Ring Electrode: A Feasibility Study. ChemElectroChem. 7(21). 4417–4422. 4 indexed citations
16.
Wu, Shuchang, Xiaoli Pan, Shutao Xu, et al.. (2020). A facile strategy based on the metal-free design of carbon to deliver an insight into the active sites for liquid phase carbocatalysis. Chemical Communications. 56(26). 3789–3792. 5 indexed citations
17.
18.
Lin, Yangming, et al.. (2017). Insights into the surface chemistry and electronic properties of sp2 and sp3-hybridized nanocarbon materials for catalysis. Chemical Communications. 53(35). 4834–4837. 56 indexed citations
19.
Shu, Chaozhu, Yangming Lin, Bingsen Zhang, Sharifah Bee Abd Hamid, & Dangsheng Su. (2016). Mesoporous boron-doped onion-like carbon as long-life oxygen electrode for sodium–oxygen batteries. Journal of Materials Chemistry A. 4(17). 6610–6619. 44 indexed citations
20.
Shu, Chaozhu, Yangming Lin, & Dangsheng Su. (2015). N-doped onion-like carbon as an efficient oxygen electrode for long-life Li–O2battery. Journal of Materials Chemistry A. 4(6). 2128–2136. 57 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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