Lifei Bai

730 total citations · 1 hit paper
28 papers, 571 citations indexed

About

Lifei Bai is a scholar working on Organic Chemistry, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lifei Bai has authored 28 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organic Chemistry, 5 papers in Molecular Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lifei Bai's work include Bioactive Compounds and Antitumor Agents (5 papers), Synthesis and Biological Evaluation (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). Lifei Bai is often cited by papers focused on Bioactive Compounds and Antitumor Agents (5 papers), Synthesis and Biological Evaluation (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). Lifei Bai collaborates with scholars based in China, Czechia and United States. Lifei Bai's co-authors include Xiaoming Wang, Hongwei Gu, Dongjin Wang, Haili Yang, Letian Xu, Hao Chen, Zhirong Geng, Huijun Gao, Xianqiang Yang and Hai‐Liang Zhu and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Biochemical Pharmacology and RSC Advances.

In The Last Decade

Lifei Bai

27 papers receiving 556 citations

Hit Papers

Carbon quantum dots: Preparation, optical properties, and... 2023 2026 2024 2025 2023 50 100 150 200

Peers

Lifei Bai
Comparison fields: 5 of 82
  • Materials Chemistry 228
  • Organic Chemistry 150
  • Molecular Biology 130
  • Biomedical Engineering 93
  • Toxicology 56
Replace Tong Shen with:
Tong Shen China
Xiaoming Zhu China
Weibing Liu China
Jong-Sung Lee South Korea
Jun Qiu China
Sang Hyup Lee South Korea
Guyue Liu China
Rupak Chakraborty India
G. Venkatesh India
Tong Shen China View profile →
Citations per field, relative to Lifei Bai
Lifei Bai · 1×
Citations per year, relative to Lifei Bai
Lifei Bai · 1×

Countries citing papers authored by Lifei Bai

Since Specialization
Citations

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

Fields of papers citing papers by Lifei Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lifei Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Lifei Bai. A scholar is included among the top collaborators of Lifei 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 Lifei Bai. Lifei 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 2
2
Carbon quantum dots: Preparation, optical properties, and biomedical applications breakdown →
238
3 7
4 1
5 5
6 4
7 7
8 3
9 11
10 1
11 26
12 11
13 2
14 21
15 3
16 90
17
[Simultaneous determination of multi-components in Chinese herbal medicine with UV spectrometry by virtual components-artificial neural network].
1
18 4
19 15
20 11

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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2026