Lingfeng Jin

28 papers receiving 506 citations

Peers

Lingfeng Jin
Comparison fields: 5 of 52
  • Bioengineering 164
  • Electrical and Electronic Engineering 369
  • Polymers and Plastics 76
  • Materials Chemistry 192
  • Biomedical Engineering 174
Replace Daniela Schönauer‐Kamin with:
Daniela Schönauer‐Kamin Germany
Wenhu Tan China
Seunghwan Baek South Korea
Frank Rettig Germany
R. G. Pavelko Spain
Carl Rivkin United States
Matthew Post United States
A. E. Ukshe Russia
Lingfeng Jin relative to Daniela Schönauer‐Kamin Germany Daniela Schönauer‐Kamin's profile →
Citations per field
00.5×1.5×1.9×
Daniela Schönauer‐Kamin · 1×
Citations per year

Countries citing papers authored by Lingfeng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Lingfeng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lingfeng Jin, 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 Lingfeng Jin Line = papers co-authored together Lingfeng Jin 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 200691
2 201780
3 202057
4 201648
5 201838
6 201831
7 201831
8 201626
9 201522
10 201713
11 202311
12 201810
13 20239
14 20188
15 20168
16 20227
17 20216
18 20085
19 20175
20 20164

About Lingfeng Jin

Lingfeng Jin is a scholar working on Electrical and Electronic Engineering, Bioengineering, Materials Chemistry, Biomedical Engineering and Industrial and Manufacturing Engineering, having authored 28 papers that have together received 523 indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (20 papers), Analytical Chemistry and Sensors (14 papers), ZnO doping and properties (6 papers), Advanced Chemical Sensor Technologies (5 papers), Power Transformer Diagnostics and Insulation (4 papers), Transition Metal Oxide Nanomaterials (4 papers), Water Quality Monitoring and Analysis (4 papers) and High voltage insulation and dielectric phenomena (2 papers). The work is most often cited by research in Bioengineering (164 citations), Electrical and Electronic Engineering (369 citations), Polymers and Plastics (76 citations), Materials Chemistry (192 citations) and Biomedical Engineering (174 citations). Lingfeng Jin has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Weigen Chen, Rolf Sandström, Qu Zhou, Fang Cui, Lingna Xu, Zihao Song, He Zhang, Yanqiong Li, Qingyan Zhang and He Zhang. Their work appears in journals such as Frontiers in Chemistry, Journal of Materials Science Materials in Electronics, Sensors and Actuators B Chemical, Science of Advanced Materials and Journal of Industrial and Engineering Chemistry.

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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