Shaowei Ding

1.1k citations
16 papers · 969 · h-index 11

Impact in

    • Analytical Chemistry and Sensors
    • Advanced Sensor and Energy Harvesting Materials
    • Biosensors and Analytical Detection
    • Graphene and Nanomaterials Applications

Papers in

Shaowei Ding

16 papers receiving 959 citations

Peers

Shaowei Ding
Comparison fields: 5 of 96
  • Bioengineering 83
  • Biomedical Engineering 449
  • Electrochemistry 58
  • Molecular Biology 401
  • Electrical and Electronic Engineering 346
Replace Xuebo Hu with:
Xuebo Hu China
John A. Hondred United States
Allison A. Cargill United States
David Jaroch United States
Alexander Trifonov Israel
Frankie J. Rawson United Kingdom
Rangadhar Pradhan India
Lu Yan China
Mohsen Janmaleki Iran
Wonseok Lee South Korea
Shaowei Ding relative to Xuebo Hu China Xuebo Hu's profile →
Citations per field
00.5×1.5×1.9×
Xuebo Hu · 1×
Citations per year

Countries citing papers authored by Shaowei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Shaowei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2015246
2 2020114
3 2016112
4 201788
5 201780
6 201773
7 201761
8 201849
9 201848
10 201842
11 201533
12 20227
13 20157
14
Highly sensitive biosensors with interdigitated electrode arrays
20184
15 20243
16 20252

About Shaowei Ding

Shaowei Ding is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 969 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), Electrochemical sensors and biosensors (5 papers), Graphene and Nanomaterials Applications (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Biosensors and Analytical Detection (3 papers), Neuroscience and Neural Engineering (2 papers), Nerve injury and regeneration (2 papers) and Supercapacitor Materials and Fabrication (2 papers). The work is most often cited by research in Bioengineering (83 citations), Biomedical Engineering (449 citations), Electrochemistry (58 citations), Molecular Biology (401 citations) and Electrical and Electronic Engineering (346 citations). Shaowei Ding has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Jonathan C. Claussen, Allison A. Cargill, Igor L. Medintz, Suprem R. Das, John A. Hondred, Dapeng Jing, Jesse M. Hostetter, Donald S. Sakaguchi, Kshama Parate and Bolin Chen. Their work appears in journals such as ACS Applied Materials & Interfaces, Advanced Healthcare Materials, Small, Neurobiology of Disease and Current Opinion in Biotechnology.

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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