Wanlong Li

4.7k citations
98 papers · 3.4k · h-index 29

Impact in

  • Plant Science top 0.5%
    • Wheat and Barley Genetics and Pathology
    • Plant Disease Resistance and Genetics
    • Chromosomal and Genetic Variations
    • Genetics and Plant Breeding
    • Plant Virus Research Studies
  • Genetics top 5%
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

Wanlong Li

96 papers receiving 3.2k citations

Peers

Wanlong Li
Comparison fields: 5 of 132
  • Plant Science 2.4k
  • Genetics 578
  • Agronomy and Crop Science 167
  • Geology 82
  • Computer Vision and Pattern Recognition 252
Replace Jinglu Wang with:
Jinglu Wang China
Michael P. Pound United Kingdom
Arti Singh United States
Yingjie Xiao China
Dexiang Deng China
Wensheng Wang China
Jayme Garcia Arnal Barbedo Brazil
Dan Tulpan Canada
Timo Oksanen Finland
Hemerson Pistori Brazil
Wanlong Li relative to Jinglu Wang China Jinglu Wang's profile →
Citations per field
00.5×2×4×6.6×
Jinglu Wang · 1×
Citations per year

Countries citing papers authored by Wanlong Li

Since Specialization
Citations

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

Fields of papers citing papers by Wanlong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003408
2 2004268
3 2004216
4 2004181
5 2019170
6 2004114
7 1996106
8 200698
9 201295
10 202090
11 201480
12 202178
13 200277
14 200473
15 201269
16 201562
17 201361
18 202260
19 201057
20 201752

About Wanlong Li

Wanlong Li is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Artificial Intelligence, Genetics and Molecular Biology, having authored 98 papers that have together received 3.4k indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (18 papers), Plant Disease Resistance and Genetics (16 papers), Chromosomal and Genetic Variations (13 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Esophageal Cancer Research and Treatment (8 papers), Robotics and Sensor-Based Localization (7 papers), Plant Genetic and Mutation Studies (6 papers) and Lung Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Plant Science (2.4k citations), Genetics (578 citations), Agronomy and Crop Science (167 citations), Geology (82 citations) and Computer Vision and Pattern Recognition (252 citations). Wanlong Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bikram S. Gill, John P. Fellers, Li Huang, Bernd Friebe, Zheng‐Zhi Zhang, Harold N. Trick, Steven A. Brooks, Bing Yang, Peng Zhang and Lei Hua. Their work appears in journals such as Theoretical and Applied Genetics, Genetics, Genome, PLoS ONE and BMC Plant Biology.

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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