Jialei Bai

2.9k total citations
85 papers, 2.4k citations indexed

About

Jialei Bai is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Jialei Bai has authored 85 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 46 papers in Biomedical Engineering and 19 papers in Materials Chemistry. Recurrent topics in Jialei Bai's work include Advanced biosensing and bioanalysis techniques (53 papers), Biosensors and Analytical Detection (35 papers) and Analytical chemistry methods development (15 papers). Jialei Bai is often cited by papers focused on Advanced biosensing and bioanalysis techniques (53 papers), Biosensors and Analytical Detection (35 papers) and Analytical chemistry methods development (15 papers). Jialei Bai collaborates with scholars based in China, Australia and Netherlands. Jialei Bai's co-authors include Zhixian Gao, Yuan Peng, Baoan Ning, Shuang Li, Dianpeng Han, Shuyue Ren, Yu Wang, Bingyang Huo, Longxing Fan and Tie Han and has published in prestigious journals such as Analytical Chemistry, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Jialei Bai

83 papers receiving 2.3k citations

Peers

Jialei Bai
Comparison fields: 5 of 104
  • Molecular Biology 1.2k
  • Biomedical Engineering 1.0k
  • Materials Chemistry 547
  • Electrical and Electronic Engineering 389
  • Analytical Chemistry 279
Replace Baoan Ning with:
Baoan Ning China
Maojun Jin China
Jinyi Yang China
Chifang Peng China
Chunyan Sun China
Yu Zhou China
Su Liu China
Elena Benito‐Peña Spain
Futao Hu China
Julio Raba Argentina
Baoan Ning China View profile →
Citations per field, relative to Jialei Bai
Jialei Bai · 1×
Citations per year, relative to Jialei Bai
Jialei Bai · 1×

Countries citing papers authored by Jialei Bai

Since Specialization
Citations

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

Fields of papers citing papers by Jialei Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jialei Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Jialei Bai. A scholar is included among the top collaborators of Jialei 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 Jialei Bai. Jialei 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 1
2 0
3 1
4 2
5 21
6 3
7 0
8 49
9 8
10 53
11 56
12 34
13 171
14 34
15 25
16 7
17 16
18 24
19
AuNPs-chitosan/MWNTs modified GCE used for detection of trace malachite green in water.
2
20 7

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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