Shaowei Ding

1.1k citations
15 papers · 897 indexed · 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

15 papers receiving 887 citations

Peers

Shaowei Ding
Comparison fields: 5 of 95
  • Bioengineering 78
  • Biomedical Engineering 417
  • Electrochemistry 58
  • Electrical and Electronic Engineering 320
  • Molecular Biology 379
Replace Xuebo Hu with:
Xuebo Hu China
John A. Hondred United States
Allison A. Cargill United States
David Jaroch United States
Alexander Trifonov Israel
Hong Qing China
Frankie J. Rawson United Kingdom
Wonseok Lee South Korea
Delphine Magnin Belgium
Mohsen Janmaleki Iran
Shaowei Ding relative to Xuebo Hu China Xuebo Hu's profile →
Citations per field
00.5×1.5×1.8×
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

15 of 15 papers shown
#Work
1 2015222
2 2020109
3 2016103
4 201785
5 201776
6 201772
7 201761
8 201846
9 201845
10 201837
11 201530
12 20225
13
Highly sensitive biosensors with interdigitated electrode arrays
20183
14 20242
15 20251

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 15 papers that have together received 897 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), Electrochemical sensors and biosensors (4 papers), Graphene and Nanomaterials Applications (3 papers), Biosensors and Analytical Detection (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Nerve injury and regeneration (2 papers), Supercapacitor Materials and Fabrication (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Bioengineering (78 citations), Biomedical Engineering (417 citations), Electrochemistry (58 citations), Electrical and Electronic Engineering (320 citations) and Molecular Biology (379 citations). Shaowei Ding has collaborated with scholars based in United States, France and United Kingdom. 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, Bolin Chen and Kshama Parate. Their work appears in journals such as ACS Applied Materials & Interfaces, Advanced Healthcare Materials, Small, ACS Sensors and Biosensors and Bioelectronics.

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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