Ling Du

471 citations
16 papers · 251 · h-index 6

Impact in

Papers in

    • Bioinformatics and Genomic Networks 3
    • Gene expression and cancer classification 2
    • Advanced biosensing and bioanalysis techniques 2
    • CRISPR and Genetic Engineering 2
    • Advanced Memory and Neural Computing 5
    • Ferroelectric and Negative Capacitance Devices 4

Ling Du

14 papers receiving 248 citations

Peers

Ling Du
Comparison fields: 5 of 64
  • Renewable Energy, Sustainability and the Environment 70
  • Economics and Econometrics 102
  • Environmental Engineering 44
  • Pollution 28
  • Molecular Biology 68
Replace Emmanuel Olurotimi Ogunbiyi with:
Emmanuel Olurotimi Ogunbiyi Nigeria
Jiarui Zhong China
Junhang Li China
Zhongtian Lin United States
Thomas P. Griffin United States
Jalil Shadbahr Canada
Uwaga Monica Adanma Nigeria
Ronald Steenblik France
Ling Du relative to Emmanuel Olurotimi Ogunbiyi Nigeria Emmanuel Olurotimi Ogunbiyi's profile →
Citations per field
00.5×10×13×
Emmanuel Olurotimi Ogunbiyi · 1×
Citations per year

Countries citing papers authored by Ling Du

Since Specialization
Citations

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

Fields of papers citing papers by Ling Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2022116
2 202350
3 202443
4 20239
5 20248
6 20256
7 20235
8 20223
9 20223
10 20222
11 20242
12 20222
13 20251
14 20111
15 20250
16 20240

About Ling Du

Ling Du is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Polymers and Plastics, Artificial Intelligence and Renewable Energy, Sustainability and the Environment, having authored 16 papers that have together received 251 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Transition Metal Oxide Nanomaterials (4 papers), Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), CRISPR and Genetic Engineering (2 papers) and Algal biology and biofuel production (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (70 citations), Economics and Econometrics (102 citations), Environmental Engineering (44 citations), Pollution (28 citations) and Molecular Biology (68 citations). Ling Du has collaborated with scholars based in China, United Arab Emirates and Singapore. Frequent co-authors include Tomiwa Sunday Adebayo, Asif Razzaq, Abraham Ayobamiji Awosusi, Peifeng Liu, Qianyun Tang, Shuai Yang, Dayong Yang, Xiaojing Chen, Xingang Wang and Fengqin Li. Their work appears in journals such as Advanced Science, Applied Surface Science, Current Applied Physics, Journal of Materials Science Materials in Electronics and Frontiers in Psychiatry.

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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