Shuyan Ding

508 citations
17 papers · 421 · h-index 10

Impact in

    • Machine Learning in Bioinformatics
    • Genomics and Phylogenetic Studies
    • Plant Reproductive Biology
    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics
    • Plant Gene Expression Analysis
    • Photosynthetic Processes and Mechanisms
    • Plant Molecular Biology Research

Papers in

Shuyan Ding

16 papers receiving 413 citations

Peers

Shuyan Ding
Comparison fields: 5 of 51
  • Molecular Biology 357
  • Plant Science 159
  • Discrete Mathematics and Combinatorics 10
  • Ecology, Evolution, Behavior and Systematics 45
  • Computational Theory and Mathematics 25
Replace Manuel Lafond with:
Manuel Lafond Canada
Wenwei Xiong China
Trevor Fenner United Kingdom
Neng Huang China
Hongsheng Wu China
Xinyi Shi China
Dianchuan Jin China
Libin Li China
Cen Wan United Kingdom
Kanae Masuda Japan
Shuyan Ding relative to Manuel Lafond Canada Manuel Lafond's profile →
Citations per field
00.5×3.3×
Manuel Lafond · 1×
Citations per year

Countries citing papers authored by Shuyan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Shuyan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2008146
2 201154
3 201249
4 201347
5 201432
6 200527
7 201216
8 201012
9 200510
10 20169
11 20077
12 20184
13 20133
14 20142
15 20132
16 20141
17 20100

About Shuyan Ding

Shuyan Ding is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Computer Networks and Communications, Plant Science and Discrete Mathematics and Combinatorics, having authored 17 papers that have together received 421 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Machine Learning in Bioinformatics (7 papers), Protein Structure and Dynamics (4 papers), RNA and protein synthesis mechanisms (3 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), Plant Molecular Biology Research (2 papers), Caching and Content Delivery (2 papers) and graph theory and CDMA systems (2 papers). The work is most often cited by research in Molecular Biology (357 citations), Plant Science (159 citations), Discrete Mathematics and Combinatorics (10 citations), Ecology, Evolution, Behavior and Systematics (45 citations) and Computational Theory and Mathematics (25 citations). Shuyan Ding has collaborated with scholars based in China, United Kingdom and Austria. Frequent co-authors include Tianming Wang, Shengli Zhang, Yan Li, Dabing Zhang, Da Luo, Yang Li, Shan Gao, Zheng Yuan, Lantian Li and Xuan Yao. Their work appears in journals such as Biochimie, Journal of Theoretical Biology, SAR and QSAR in environmental research, Transactions on Emerging Telecommunications Technologies and PLANT PHYSIOLOGY.

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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