Tong-Chun Bai

733 citations
38 papers · 633 indexed · h-index 16
Topics
Thermodynamic properties of mixtures (17 papers)Chemical and Physical Properties in Aqueous Solutions (14 papers)Surfactants and Colloidal Systems (7 papers)
Partner nations
ChinaUnited States

In The Last Decade

Tong-Chun Bai

38 papers receiving 617 citations

Peers

Tong-Chun Bai
Comparison fields: 5 of 79
  • Fluid Flow and Transfer Processes 249
  • Filtration and Separation 200
  • Biomedical Engineering 166
  • Organic Chemistry 121
  • Materials Chemistry 93
Replace Masumeh Mokhtarpour with:
Masumeh Mokhtarpour Iran
Maria Jorge Pratas Portugal
Sónia N. Pedro Portugal
You-Ting Wu China
Viorica Meltzer Romania
Alireza Rastkar Ebrahimzadeh Iran
Chiraphon Chaibundit United Kingdom
Marzena Jamrógiewicz Poland
Marina M. Seitkalieva Russia
Withawat Mingvanish Thailand
Tong-Chun Bai relative to Masumeh Mokhtarpour Iran Masumeh Mokhtarpour's profile →
Citations per field
00.5×4.7×
Masumeh Mokhtarpour · 1×
Citations per year

Countries citing papers authored by Tong-Chun Bai

Since Specialization
Citations

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

Fields of papers citing papers by Tong-Chun Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong-Chun Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Tong-Chun Bai. A scholar is included among the top collaborators of Tong-Chun 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 Tong-Chun Bai. Tong-Chun 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
#WorkIndexed citations
1 67
2 15
3 39
4 15
5 61
6 2
7 6
8 2
9 5
10 2
11 5
12 30
13 78
14 5
15 24
16 27
17 13
18 19
19 29
20 2

About Tong-Chun Bai

Tong-Chun Bai is a scholar working on Filtration and Separation, Fluid Flow and Transfer Processes and Molecular Medicine, having authored 38 papers that have together received 633 indexed citations. Recurring topics across this work include Thermodynamic properties of mixtures (17 papers), Chemical and Physical Properties in Aqueous Solutions (14 papers) and Surfactants and Colloidal Systems (7 papers). The work is most often cited by research in Filtration and Separation (200 citations), Fluid Flow and Transfer Processes (249 citations) and Molecular Medicine (76 citations). Tong-Chun Bai has collaborated with scholars based in China and United States. Frequent co-authors include Fei Wang, Ying Wen, Jia Yao, Shijun Han, Binghao Wang, Limei Liu, Jinsuo Lu, Huali Zhang, Yuan Gao and Jianjun Zhu. Their work appears in journals such as The Journal of Physical Chemistry B, Carbohydrate Polymers and International Journal of Pharmaceutics.

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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