Degong Ding

1.6k citations
35 papers · 1.3k · h-index 18

Impact in

Papers in

    • Perovskite Materials and Applications 8
    • Gas Sensing Nanomaterials and Sensors 8
    • Chalcogenide Semiconductor Thin Films 5
    • 2D Materials and Applications 12
    • Graphene research and applications 6
    • ZnO doping and properties 5
    • Quantum Dots Synthesis And Properties 4

Degong Ding

31 papers receiving 1.3k citations

Peers

Degong Ding
Comparison fields: 5 of 47
  • Bioengineering 353
  • Surfaces, Coatings and Films 174
  • Electrical and Electronic Engineering 881
  • Water Science and Technology 166
  • Biomedical Engineering 513
Replace Fujun Xia with:
Fujun Xia China
Mohammad Hossein Sheikhi Iran
Taina Laiho Finland
C.C. Buron France
Guohui Zhang China
Kowsar Majid India
Monika Kwoka Poland
Xicheng Ma China
Kai Kamada Japan
Mansoor Keyanpour-Rad Iran
Degong Ding relative to Fujun Xia China Fujun Xia's profile →
Citations per field
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Fujun Xia · 1×
Citations per year

Countries citing papers authored by Degong Ding

Since Specialization
Citations

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

Fields of papers citing papers by Degong Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016302
2 2017177
3 2017126
4 201889
5 201784
6 201777
7 201676
8 202449
9 201747
10 201742
11 202227
12 202226
13 202525
14 202323
15 201921
16 201919
17 202119
18 201718
19 202312
20 20239

About Degong Ding

Degong Ding is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Bioengineering, Biomedical Engineering and Computational Mechanics, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include 2D Materials and Applications (12 papers), Perovskite Materials and Applications (8 papers), Gas Sensing Nanomaterials and Sensors (8 papers), Analytical Chemistry and Sensors (8 papers), Graphene research and applications (6 papers), Chalcogenide Semiconductor Thin Films (5 papers), ZnO doping and properties (5 papers) and Quantum Dots Synthesis And Properties (4 papers). The work is most often cited by research in Bioengineering (353 citations), Surfaces, Coatings and Films (174 citations), Electrical and Electronic Engineering (881 citations), Water Science and Technology (166 citations) and Biomedical Engineering (513 citations). Degong Ding has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qingzhong Xue, Ya Xiong, Wenbo Lu, Xinglong Pan, Jianqiang Zhang, Wenbo Lu, Yakang Jin, Qikai Guo, Wangwang Xu and Cuicui Ling. Their work appears in journals such as Sensors and Actuators B Chemical, ACS Nano, Nature Communications, Applied Surface Science and 2D Materials.

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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