Chang Long

4.2k total citations · 2 hit papers
82 papers, 3.4k citations indexed

About

Chang Long is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry and Catalysis. According to data from OpenAlex, Chang Long has authored 82 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Renewable Energy, Sustainability and the Environment, 29 papers in Materials Chemistry and 25 papers in Catalysis. Recurrent topics in Chang Long's work include CO2 Reduction Techniques and Catalysts (23 papers), Electrocatalysts for Energy Conversion (17 papers) and Ionic liquids properties and applications (15 papers). Chang Long is often cited by papers focused on CO2 Reduction Techniques and Catalysts (23 papers), Electrocatalysts for Energy Conversion (17 papers) and Ionic liquids properties and applications (15 papers). Chang Long collaborates with scholars based in China, United States and Germany. Chang Long's co-authors include Zhiyong Tang, Jun Guo, Xiaofei Zhang, Yin Zhang, Yanfei Zhu, Xueying Qiu, Jianyu Han, Shaoqin Liu, Chunhua Cui and Yanan Shi and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Advanced Materials.

In The Last Decade

Chang Long

72 papers receiving 3.4k citations

Hit Papers

Enabling Specific Photocatalytic Methane Oxidation by Con... 2023 2026 2024 2025 2023 2025 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang Long China 31 2.1k 1.5k 940 806 659 82 3.4k
Wenming Sun China 28 3.5k 1.6× 2.6k 1.7× 740 0.8× 1.7k 2.1× 333 0.5× 67 4.8k
Geng Wu China 27 3.7k 1.7× 1.8k 1.2× 949 1.0× 2.1k 2.6× 302 0.5× 53 4.6k
Yanhui Guo China 36 1.9k 0.9× 2.4k 1.5× 1.2k 1.2× 2.1k 2.6× 346 0.5× 100 4.9k
Wenwen Zhan China 29 2.0k 0.9× 3.2k 2.1× 561 0.6× 1.9k 2.3× 1.4k 2.1× 61 5.1k
Zhiyuan Qi United States 29 1.5k 0.7× 1.7k 1.1× 798 0.8× 817 1.0× 486 0.7× 44 3.2k
Bo Shen China 29 2.2k 1.0× 1.7k 1.1× 432 0.5× 1.4k 1.8× 249 0.4× 74 3.9k
Chang Won Yoon South Korea 37 1.2k 0.6× 2.8k 1.8× 2.0k 2.1× 697 0.9× 499 0.8× 124 4.2k
Pengju Yang China 39 4.9k 2.3× 4.6k 3.0× 408 0.4× 2.3k 2.8× 431 0.7× 96 6.2k
Yike Huang China 22 1.3k 0.6× 2.4k 1.6× 1.1k 1.2× 571 0.7× 215 0.3× 45 3.1k
Huimin Liu China 32 4.5k 2.1× 3.8k 2.5× 866 0.9× 1.6k 2.0× 670 1.0× 50 5.6k

Countries citing papers authored by Chang Long

Since Specialization
Citations

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

Fields of papers citing papers by Chang Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Long

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Long. A scholar is included among the top collaborators of Chang Long 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 Chang Long. Chang Long 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.
Wu, Keying, et al.. (2026). Switching N‐N Versus N‐H Couplings in Nitrate Electroreduction With CuPd Surface Atomic Motifs. Angewandte Chemie International Edition. 65(13). e24218–e24218.
3.
Li, Zheng, Yan Xu, Mian Cai, et al.. (2025). A front-end fusion feature-based machine learning engine for rechargeable battery manufacturing accelerates screening of organic electrodes. Journal of Power Sources. 641. 236794–236794. 1 indexed citations
4.
Wang, Dawei, Chang Long, Ying Yue, et al.. (2025). Strain-optimized copper dual-atom sites for selective electroreduction of carbon dioxide to ethylene. Science Advances. 11(37). eads0609–eads0609. 2 indexed citations
5.
Luo, Dan, Keying Wu, Siyuan Liu, et al.. (2025). Cu-based bimetallic catalysts for electrochemical CO2 reduction: before and beyond the tandem effect. Nanoscale. 17(15). 9057–9071. 3 indexed citations
6.
Xiao, Lei, Shiyong Mou, Keying Wu, et al.. (2025). Techno-economic assessment of plasma-driven air oxidation coupled with electroreduction synthesis of ammonia. Green Energy & Environment. 10(9). 1901–1910. 1 indexed citations
7.
Wang, Yifeng, Yaqian Zhang, Chang Long, et al.. (2025). Multispectral metasurface for visible transparency, infrared stealth, and mm-Wave frequency-multiplexing. Materials & Design. 253. 113903–113903. 2 indexed citations
8.
Li, Zheng, Chunfang Zhang, Yaqun Wang, et al.. (2024). A complete and effective target-based data-driven flow screening for reliable cathode materials for aluminum-ion batteries. Applied Energy. 376. 124182–124182. 6 indexed citations
9.
Long, Chang, Kaiwei Wan, Yu Chen, et al.. (2024). Steering the Reconstruction of Oxide-Derived Cu by Secondary Metal for Electrosynthesis of n-Propanol from CO. Journal of the American Chemical Society. 146(7). 4632–4641. 46 indexed citations
10.
Li, Zheng, Shuqing Zhang, Hao Huang, et al.. (2023). Artificial intelligence-driven rechargeable batteries in multiple fields of development and application towards energy storage. Journal of Energy Storage. 73. 108926–108926. 22 indexed citations
11.
Li, Lei, Qianbao Wu, Shi‐Kai Xiang, et al.. (2023). Electron Paramagnetic Resonance Tracks Condition-Sensitive Water Radical Cation. The Journal of Physical Chemistry Letters. 14(41). 9183–9191. 25 indexed citations
12.
Yu, Yuan, et al.. (2023). Research on integrated optimization of the water system in iron and steel industry based on effective water efficiency. Journal of Cleaner Production. 423. 138788–138788. 2 indexed citations
13.
Wu, Qianbao, Ruiqi Ku, Liujiang Zhou, et al.. (2023). Self-adaptive amorphous CoOxCly electrocatalyst for sustainable chlorine evolution in acidic brine. Nature Communications. 14(1). 5356–5356. 51 indexed citations
14.
Li, Lei, Qianbao Wu, Shijia Mu, et al.. (2023). Cu+-Mediated CO Coordination for Promoting C–C Coupling for CO2 and CO Electroreduction. ACS Applied Materials & Interfaces. 15(10). 13228–13237. 19 indexed citations
15.
Long, Chang, Kaiwei Wan, Yuheng Jiang, et al.. (2023). Regulating reconstruction of oxide-derived Cu for electrochemical CO 2 reduction toward n-propanol. Science Advances. 9(43). eadi6119–eadi6119. 112 indexed citations
16.
Chen, Jixin, Xiaoyue Xia, Peigen Zhou, et al.. (2023). Terahertz On-Chip Aperture Antenna With Through Substrate Vias for Enhanced Gain and Chip-Size Insensitivity in InP Technology. IEEE Transactions on Antennas and Propagation. 71(9). 7184–7195. 10 indexed citations
17.
Wu, Qianbao, Junwu Liang, Chang Long, et al.. (2023). Non-covalent ligand-oxide interaction promotes oxygen evolution. Nature Communications. 14(1). 997–997. 62 indexed citations
18.
Yang, Zhongjie, Xiaofei Zhang, Yanan Shi, et al.. (2020). Synthesis of Two-dimensional Hydrophobic Copper-based Nanosheets and Their Application in Catalytic Oxidation of Sulfides. Acta Chimica Sinica. 78(9). 980–980. 2 indexed citations
19.
Han, Jianyu, Pengfei An, Shuhu Liu, et al.. (2019). Reordering d Orbital Energies of Single‐Site Catalysts for CO2 Electroreduction. Angewandte Chemie. 131(36). 12841–12846. 40 indexed citations
20.
Long, Chang. (2010). Effect of cellulose fiber on performances of C50 concrete for aqueduct. Concrete. 1 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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