Wu Huang

954 citations
13 papers · 600 · h-index 7

Impact in

    • Chromosomal and Genetic Variations
    • Plant Disease Resistance and Genetics
    • Plant Pathogens and Resistance
    • Plant Virus Research Studies
    • Plant Molecular Biology Research
    • Plant nutrient uptake and metabolism

Papers in

    • Legume Nitrogen Fixing Symbiosis 3
    • Chromosomal and Genetic Variations 3
    • Cassava research and cyanide 2
    • Photosynthetic Processes and Mechanisms 2

Wu Huang

11 papers receiving 592 citations

Peers

Wu Huang
Comparison fields: 5 of 61
  • Horticulture 72
  • Plant Science 495
  • Genetics 159
  • Molecular Biology 235
  • Food Science 59
Replace Kailin Hu with:
Kailin Hu China
Ramón Dolcet-Sanjuan Spain
Qingwu Peng China
Jinhua Xu China
Kazuhiko Tarora Japan
Aline Borges Brazil
Herculano Penna Medina-Filho Brazil
E. Kozik Poland
George Ude United States
Wu Huang relative to Kailin Hu China Kailin Hu's profile →
Citations per field
00.5×3.3×
Kailin Hu · 1×
Citations per year

Countries citing papers authored by Wu Huang

Since Specialization
Citations

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

Fields of papers citing papers by Wu Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2020164
2 2019151
3 2019100
4 201397
5 202263
6 202212
7 20199
8 20251
9 20021
10 20181
11 20021
12 20190
13 20020

About Wu Huang

Wu Huang is a scholar working on Plant Science, Molecular Biology, Artificial Intelligence, Genetics and Horticulture, having authored 13 papers that have together received 600 indexed citations. Recurring topics across this work include Legume Nitrogen Fixing Symbiosis (3 papers), Chromosomal and Genetic Variations (3 papers), Advances in Cucurbitaceae Research (2 papers), Semantic Web and Ontologies (2 papers), Cocoa and Sweet Potato Agronomy (2 papers), Cassava research and cyanide (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Formal Methods in Verification (2 papers). The work is most often cited by research in Horticulture (72 citations), Plant Science (495 citations), Genetics (159 citations), Molecular Biology (235 citations) and Food Science (59 citations). Wu Huang has collaborated with scholars based in China, Taiwan and Netherlands. Frequent co-authors include Qian Zhou, Sanwen Huang, Zhonghua Zhang, Qing Li, Yuanchao Xu, Hongbo Li, Jue Ruan, Shenhao Wang, Chunzhi Zhang and C. Bachem. Their work appears in journals such as Nature Genetics, Bioscience Biotechnology and Biochemistry, Nature Communications, New Phytologist and Molecular Plant.

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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