Feng Long

2.5k citations
86 papers · 1.9k · h-index 26

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 47
    • Advanced Biosensing Techniques and Applications 12
    • Biosensors and Analytical Detection 48
    • Microfluidic and Capillary Electrophoresis Applications 6

Feng Long

84 papers receiving 1.9k citations

Peers

Feng Long
Comparison fields: 5 of 113
  • Bioengineering 128
  • Biomedical Engineering 962
  • Electrochemistry 109
  • Molecular Biology 1.1k
  • Electronic, Optical and Magnetic Materials 250
Replace Longwen Fu with:
Longwen Fu China
Wenjing Wang China
Abdennour Abbas United States
Anna Zhu China
Jialei Bai China
Krishna Kant India
Dan Song China
Irina Yu. Goryacheva Russia
Hongje Jang South Korea
J.‐Pablo Salvador Spain
Feng Long relative to Longwen Fu China Longwen Fu's profile →
Citations per field
00.5×3.6×
Longwen Fu · 1×
Citations per year

Countries citing papers authored by Feng Long

Since Specialization
Citations

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

Fields of papers citing papers by Feng Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013221
2 2018126
3 202167
4 201863
5 202143
6 200943
7 201842
8 202442
9 202241
10 201739
11 201339
12 201338
13 201837
14 201336
15 201636
16 201436
17 201035
18 201634
19 201434
20 202132

About Feng Long

Feng Long is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Infectious Diseases and Bioengineering, having authored 86 papers that have together received 1.9k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (48 papers), Advanced biosensing and bioanalysis techniques (47 papers), Advanced Biosensing Techniques and Applications (12 papers), SARS-CoV-2 detection and testing (8 papers), Analytical Chemistry and Sensors (7 papers), Advanced Nanomaterials in Catalysis (7 papers), Gold and Silver Nanoparticles Synthesis and Applications (6 papers) and Microfluidic and Capillary Electrophoresis Applications (6 papers). The work is most often cited by research in Bioengineering (128 citations), Biomedical Engineering (962 citations), Electrochemistry (109 citations), Molecular Biology (1.1k citations) and Electronic, Optical and Magnetic Materials (250 citations). Feng Long has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Anna Zhu, Hanchang Shi, Dan Song, Rong Yang, Wenjuan Xu, Shunyan Fang, Hongchen Wang, Yanping Liu, Rui Xiao and Xiaohong Zhou. Their work appears in journals such as Analytica Chimica Acta, Biosensors and Bioelectronics, Microchimica Acta, Talanta 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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