Linlu Bai

3.5k citations
50 papers · 3.1k indexed · h-index 29

Impact in

Papers in

Linlu Bai

48 papers receiving 3.1k citations

Peers

Linlu Bai
Comparison fields: 5 of 59
  • Renewable Energy, Sustainability and the Environment 2.5k
  • Materials Chemistry 2.4k
  • Inorganic Chemistry 641
  • Catalysis 186
  • Process Chemistry and Technology 69
Replace Yang Qu with:
Yang Qu China
Jindui Hong Singapore
Shipeng Wan China
Yoshitsune Sugano Japan
Kang Sun China
Zhen‐Tao Yu China
Yunyang Qian China
Chenfan Xie China
Linlu Bai relative to Yang Qu China Yang Qu's profile →
Citations per field
00.5×7.9×
Yang Qu · 1×
Citations per year

Countries citing papers authored by Linlu Bai

Since Specialization
Citations

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

Fields of papers citing papers by Linlu Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Linlu Bai, 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 Linlu Bai Line = papers co-authored together Linlu Bai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016229
2 2021210
3 2019205
4 2019180
5 2017177
6 2014154
7 2019151
8 2023133
9 2022131
10 2020130
11 2019116
12 2020115
13 202382
14 202179
15 202077
16 202170
17 202161
18 202061
19 201458
20 201951

About Linlu Bai

Linlu Bai is a scholar working on Renewable Energy, Sustainability and the Environment, Process Chemistry and Technology, Catalysis, Materials Chemistry and Inorganic Chemistry, having authored 50 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (39 papers), Covalent Organic Framework Applications (13 papers), CO2 Reduction Techniques and Catalysts (12 papers), Perovskite Materials and Applications (12 papers), Gas Sensing Nanomaterials and Sensors (7 papers), Metal-Organic Frameworks: Synthesis and Applications (6 papers), Copper-based nanomaterials and applications (6 papers) and Catalytic Processes in Materials Science (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (2.5k citations), Materials Chemistry (2.4k citations), Inorganic Chemistry (641 citations), Catalysis (186 citations) and Process Chemistry and Technology (69 citations). Linlu Bai has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Liqiang Jing, Zhijun Li, Yang Qu, Yang Qu, Ziqing Zhang, Ji Bian, Xiaoyu Chu, Fazal Raziq, Honggang Fu and Xuliang Zhang. Their work appears in journals such as Advanced Materials, Advanced Energy Materials, ACS Sustainable Chemistry & Engineering, Applied Catalysis B: Environmental and Chemical Communications.

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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