Xinglan Fu

518 citations
28 papers · 374 · h-index 11

Impact in

Papers in

Xinglan Fu

27 papers receiving 362 citations

Peers

Xinglan Fu
Comparison fields: 5 of 70
  • Analytical Chemistry 136
  • Bioengineering 49
  • Health, Toxicology and Mutagenesis 72
  • Mechanics of Materials 123
  • Electrochemistry 14
Replace Raimundo Rafael Gamela with:
Raimundo Rafael Gamela Brazil
Qi Shi China
Imran Rehan Pakistan
R. Shekhar India
Marisa D. Scherer Brazil
Francesca Durbiano Italy
Ana‐Maria Bratu Romania
Indra Karnadi Indonesia
R. Maina Italy
Bhanu Prasad Vempatapu India
Xinglan Fu relative to Raimundo Rafael Gamela Brazil Raimundo Rafael Gamela's profile →
Citations per field
00.5×9.5×
Raimundo Rafael Gamela · 1×
Citations per year

Countries citing papers authored by Xinglan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xinglan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202095
2 202247
3 202035
4 201830
5 202020
6 202415
7 202415
8 202014
9 202313
10 202212
11 202410
12 202410
13 20247
14 20237
15 20256
16 20216
17 20246
18
Development and performance experiment on grain yield monitoring system of combine harvester based on photoelectric diffuse reflectance.
20175
19 20235
20 20234

About Xinglan Fu

Xinglan Fu is a scholar working on Analytical Chemistry, Mechanics of Materials, Health, Toxicology and Mutagenesis, Electrical and Electronic Engineering and Biomedical Engineering, having authored 28 papers that have together received 374 indexed citations. Recurring topics across this work include Analytical chemistry methods development (11 papers), Laser-induced spectroscopy and plasma (10 papers), Mercury impact and mitigation studies (6 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Spectroscopy and Chemometric Analyses (4 papers), Advanced Chemical Sensor Technologies (4 papers), Heavy metals in environment (3 papers) and Gas Sensing Nanomaterials and Sensors (3 papers). The work is most often cited by research in Analytical Chemistry (136 citations), Bioengineering (49 citations), Health, Toxicology and Mutagenesis (72 citations), Mechanics of Materials (123 citations) and Electrochemistry (14 citations). Xinglan Fu has collaborated with scholars based in China. Frequent co-authors include Daming Dong, Guanglin Li, Shixiang Ma, Leizi Jiao, Hongwu Tian, Nianbing Zhong, Xiande Zhao, Chunjiang Zhao, Fengjing Cao and Yuehua Huang. Their work appears in journals such as Journal of Hazardous Materials, Journal of Analytical Atomic Spectrometry, Spectrochimica Acta Part B Atomic Spectroscopy, Computers and Electronics in Agriculture and Sensors and Actuators B Chemical.

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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