Pengli Bai

913 total citations
50 papers, 729 citations indexed

About

Pengli Bai is a scholar working on Materials Chemistry, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Pengli Bai has authored 50 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 18 papers in Molecular Biology and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Pengli Bai's work include Advanced biosensing and bioanalysis techniques (11 papers), Advanced Nanomaterials in Catalysis (8 papers) and Luminescence and Fluorescent Materials (7 papers). Pengli Bai is often cited by papers focused on Advanced biosensing and bioanalysis techniques (11 papers), Advanced Nanomaterials in Catalysis (8 papers) and Luminescence and Fluorescent Materials (7 papers). Pengli Bai collaborates with scholars based in China, Canada and Australia. Pengli Bai's co-authors include Changsheng Zhao, Qiang Wei, Huancai Yin, Weifeng Zhao, Haifeng Li, Jian Yin, Changsheng Zhao, Peng Miao, Xiaopei Deng and Haocheng Li and has published in prestigious journals such as Advanced Functional Materials, Analytical Chemistry and Journal of Hazardous Materials.

In The Last Decade

Pengli Bai

47 papers receiving 716 citations

Peers

Pengli Bai
Comparison fields: 5 of 97
  • Biomedical Engineering 219
  • Water Science and Technology 201
  • Molecular Biology 162
  • Materials Chemistry 146
  • Electrical and Electronic Engineering 134
Replace Qingqing Jin with:
Qingqing Jin China
Sarmiza Elena Stanca Germany
Fatemeh Elmi Iran
Andrei A. Zagorodni Sweden
Xiaoyue Qi China
Yongchao Lai China
E. Mosiniewicz-Szablewska Poland
Tianyu Chen China
Paula S. Haddad Brazil
Charlie Corredor United States
Qingqing Jin China View profile →
Citations per field, relative to Pengli Bai
Pengli Bai · 1×
Citations per year, relative to Pengli Bai
Pengli Bai · 1×

Countries citing papers authored by Pengli Bai

Since Specialization
Citations

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

Fields of papers citing papers by Pengli Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengli Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Pengli Bai. A scholar is included among the top collaborators of Pengli Bai 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 Pengli Bai. Pengli Bai 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
# Work Indexed citations
1 6
2 1
3 2
4 0
5 1
6 0
7 4
8 4
9 5
10 6
11 6
12 11
13 8
14 1
15 25
16 1
17 12
18 26
19 26
20 72

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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