Hailong Chen

173 papers receiving 5.4k citations

Hit Papers

Defect‐Tailoring Mediated Electron–Hole Separation in Single‐Unit‐Cell Bi3O4Br Nanosheets for Boosting Photocatalytic Hydrogen Evolution and Nitrogen Fixation 2019 · 403 citations
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Peers

Hailong Chen
Comparison fields: 5 of 135
  • Renewable Energy, Sustainability and the Environment 2.6k
  • Catalysis 495
  • Materials Chemistry 3.2k
  • Process Chemistry and Technology 192
  • Filtration and Separation 94
Replace Shen Ye with:
Shen Ye Japan
Min Zhang China
Hiroshi Yoshida Japan
Ji‐Guang Li China
Yuzi Liu United States
Yuyang Zhang China
Xiao‐Guang Sun United States
T. Yong-Jin Han United States
Li Chen China
Hailong Chen relative to Shen Ye Japan Shen Ye's profile →
Citations per field
00.5×3.4×
Shen Ye · 1×
Citations per year

Countries citing papers authored by Hailong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hailong Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hailong Chen Line = papers co-authored together Hailong Chen links everyone, so they are left out of the graph.

All Works

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Isolated single atom cobalt in Bi3O4Br atomic layers to trigger efficient CO2 photoreduction
Hit paper breakdown →
2019422

About Hailong Chen

Hailong Chen is a scholar working on Filtration and Separation, Renewable Energy, Sustainability and the Environment, Atomic and Molecular Physics, and Optics, Materials Chemistry and Physical and Theoretical Chemistry, having authored 181 papers that have together received 5.5k indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (36 papers), Advanced Photocatalysis Techniques (25 papers), 2D Materials and Applications (24 papers), Perovskite Materials and Applications (21 papers), Photochemistry and Electron Transfer Studies (13 papers), Photosynthetic Processes and Mechanisms (12 papers), Photoreceptor and optogenetics research (10 papers) and MXene and MAX Phase Materials (9 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (2.6k citations), Catalysis (495 citations), Materials Chemistry (3.2k citations), Process Chemistry and Technology (192 citations) and Filtration and Separation (94 citations). Hailong Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yuxiang Weng, Xiewen Wen, Jiexiang Xia, Junrong Zheng, Jiebo Li, Zhen Chi, Jun Di, Hongtao Bian, Jun Xiong and Zheng Liu. Their work appears in journals such as The Journal of Physical Chemistry B, Optics Express, The Journal of Physical Chemistry C, The Journal of Physical Chemistry Letters and Applied Catalysis B: Environmental.

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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