Feifei Bai

484 citations
22 papers · 409 · h-index 13

Impact in

Papers in

Feifei Bai

22 papers receiving 406 citations

Peers

Feifei Bai
Comparison fields: 5 of 83
  • Industrial and Manufacturing Engineering 97
  • Inorganic Chemistry 107
  • Pharmaceutical Science 25
  • Biological Psychiatry 9
  • Biochemistry 21
Replace Ahmed I. Khodair with:
Ahmed I. Khodair Egypt
Cristiano Rodrigo Bohn Rhoden Brazil
Hai‐Lan Huang China
Mitsuo Akiba Japan
Liqun Shen China
Kuncoro Foe Indonesia
Ji‐Dong Lou China
Naif G. Altoom Saudi Arabia
Saleh N. Al‐Busafi Oman
Feifei Bai relative to Ahmed I. Khodair Egypt Ahmed I. Khodair's profile →
Citations per field
00.5×4.2×
Ahmed I. Khodair · 1×
Citations per year

Countries citing papers authored by Feifei Bai

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201271
2 201936
3 201234
4 201731
5 202127
6 201926
7 201925
8 201222
9 202019
10 202019
11 201617
12 202015
13 202013
14 201211
15 201310
16 20139
17 20137
18 20126
19 20215
20 20213

About Feifei Bai

Feifei Bai is a scholar working on Molecular Biology, Industrial and Manufacturing Engineering, Materials Chemistry, Inorganic Chemistry and Biochemistry, having authored 22 papers that have together received 409 indexed citations. Recurring topics across this work include Chemical Synthesis and Characterization (8 papers), Radioactive element chemistry and processing (6 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Magnetism in coordination complexes (3 papers), Lanthanide and Transition Metal Complexes (3 papers), Mesoporous Materials and Catalysis (3 papers), Receptor Mechanisms and Signaling (2 papers) and Electron Spin Resonance Studies (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (97 citations), Inorganic Chemistry (107 citations), Pharmaceutical Science (25 citations), Biological Psychiatry (9 citations) and Biochemistry (21 citations). Feifei Bai has collaborated with scholars based in China and United States. Frequent co-authors include Jianchen Wang, Gang Ye, Jianguo Fang, Guangjin Chen, Jing Chen, Yanan Hou, Zi‐Long Song, Xiangrong Zhang, Shoujiao Peng and Xinming Li. Their work appears in journals such as CrystEngComm, Journal of Agricultural and Food Chemistry, Chemistry - An Asian Journal, Chemical Communications and Journal of the Science of Food and Agriculture.

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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