Ding Gu

1.7k citations
31 papers · 1.4k · h-index 15

Impact in

    • Gas Sensing Nanomaterials and Sensors
    • Chalcogenide Semiconductor Thin Films
    • Perovskite Materials and Applications
    • Electrochemical sensors and biosensors
    • Advanced Memory and Neural Computing
    • 2D Materials and Applications

Papers in

Ding Gu

30 papers receiving 1.4k citations

Peers

Ding Gu
Comparison fields: 5 of 35
  • Electrical and Electronic Engineering 1.3k
  • Materials Chemistry 101
  • Renewable Energy, Sustainability and the Environment 35
  • Bioengineering 4
  • Biomedical Engineering 50
Replace Delin Kuang with:
Delin Kuang China
Yuqian Yang China
Hossein Roshan Iran
Do Dang Trung Vietnam
Pengjie Hang China
Zeping Ou China
Zhilin Wu China
Basanta Bhowmik India
Bing‐Huang Jiang Taiwan
Yukun Liu China
Ding Gu relative to Delin Kuang China Delin Kuang's profile →
Citations per field
00.5×2×3×3.8×
Delin Kuang · 1×
Citations per year

Countries citing papers authored by Ding Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ding Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016240
2 2019164
3 2018139
4 2018118
5 2019109
6 2017107
7 202188
8 202185
9 202068
10 202049
11 202149
12 201940
13 202337
14 202235
15 202426
16 202413
17 202412
18 202512
19 202311
20 202411

About Ding Gu

Ding Gu is a scholar working on Electrical and Electronic Engineering, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (18 papers), Chalcogenide Semiconductor Thin Films (7 papers), Perovskite Materials and Applications (3 papers), Advanced Memory and Neural Computing (3 papers) and Organic Electronics and Photovoltaics (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (1.3k citations), Materials Chemistry (101 citations), Renewable Energy, Sustainability and the Environment (35 citations), Bioengineering (4 citations) and Biomedical Engineering (50 citations). Ding Gu has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Xiaogan Li, Jing Wang, Shiwei Lin, Yangyang Zhao, Alexander M Gaskov, M. N. Rumyantseva, Xueyan Wang, Baoyu Huang, Yamei Zeng and Shuheng Zhao. Their work appears in journals such as Sensors and Actuators B Chemical, The Journal of Physical Chemistry Letters, ACS Applied Materials & Interfaces, Small and Advanced Functional 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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