Xiaochen Fu

495 citations
25 papers · 416 · h-index 8

Impact in

Papers in

Xiaochen Fu

22 papers receiving 408 citations

Peers

Xiaochen Fu
Comparison fields: 5 of 75
  • Electrochemistry 103
  • Bioengineering 33
  • Polymers and Plastics 39
  • Molecular Biology 167
  • Spectroscopy 41
Replace Shanmuganathan Keerthana with:
Shanmuganathan Keerthana India
Chang‐Qing Lin China
Guanwei Peng China
Chunlan Li China
Md. Ikram Hossain China
Nermin Özcan Türkiye
Mahmood D. Aljabri Saudi Arabia
Yong Long Qiu China
Ruirui Xie China
Lulu Lei China
Xiaochen Fu relative to Shanmuganathan Keerthana India Shanmuganathan Keerthana's profile →
Citations per field
00.5×2×3×4.2×
Shanmuganathan Keerthana · 1×
Citations per year

Countries citing papers authored by Xiaochen Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022108
2 201755
3 201454
4 202153
5 201635
6 201920
7 200818
8 201518
9 20168
10 20197
11 20177
12 20206
13 20255
14 20255
15 20224
16 20223
17 20233
18 20242
19
GEOMI: GEOmetry for Maximum Insight
20052
20 20041

About Xiaochen Fu

Xiaochen Fu is a scholar working on Electrochemistry, Molecular Biology, Electrical and Electronic Engineering, Rheumatology and Polymers and Plastics, having authored 25 papers that have together received 416 indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Electrochemical Analysis and Applications (5 papers), Conducting polymers and applications (2 papers), 14-3-3 protein interactions (1 paper), Biochemical Analysis and Sensing Techniques (1 paper), Moyamoya disease diagnosis and treatment (1 paper) and Metal-Organic Frameworks: Synthesis and Applications (1 paper). The work is most often cited by research in Electrochemistry (103 citations), Bioengineering (33 citations), Polymers and Plastics (39 citations), Molecular Biology (167 citations) and Spectroscopy (41 citations). Xiaochen Fu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Deanna M. D’Alessandro, Bowen Ding, Lidong Wu, Jincheng Li, Huan Li Liu, Xiangming Kong, Hua Kun Liu, Yi Ping Song, Jianhao Yin and Chaoyang Zhang. Their work appears in journals such as Medicine, Analytica Chimica Acta, Molecules, Osteoporosis International and Frontiers in Cellular Neuroscience.

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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