Jinglu Wang

7.0k citations
79 papers · 2.2k · 2 hit papers · h-index 24

Impact in

Papers in

Jinglu Wang

77 papers receiving 2.1k citations

Jinglu Wang's Hit Papers

High-throughput phenotyping: Breaking through the bottleneck in future crop breeding 2021 · 185 citations
1850+2+4Years since publication50100150200250

Peers

Jinglu Wang
Comparison fields: 5 of 151
  • Computer Vision and Pattern Recognition 682
  • Geology 76
  • Plant Science 503
  • Agronomy and Crop Science 112
  • Aerospace Engineering 252
Replace Tae‐Wan Kim with:
Tae‐Wan Kim South Korea
Lu Liu China
Liqing Chen China
Hongjie Liu China
Takeshi Masuda Japan
Wanlong Li China
Johnny Park United States
Tong Yang China
Tianyu Guo China
Jinglu Wang relative to Tae‐Wan Kim South Korea Tae‐Wan Kim's profile →
Citations per field
00.5×4.6×
Tae‐Wan Kim · 1×
Citations per year

Countries citing papers authored by Jinglu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jinglu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Crop Phenomics: Current Status and Perspectives
Hit paper breakdown →
2019261
2
High-throughput phenotyping: Breaking through the bottleneck in future crop breeding
Hit paper breakdown →
2021185
3 2017172
4 2019165
5 2020103
6 2018100
7 202198
8 201994
9 201951
10 201444
11 201944
12 202042
13 202040
14 202235
15 201833
16 201531
17 201929
18 202329
19 201728
20 201927

About Jinglu Wang

Jinglu Wang is a scholar working on Computer Vision and Pattern Recognition, Genetics, Plant Science, Molecular Biology and Aerospace Engineering, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (15 papers), Advanced Neural Network Applications (11 papers), Advanced Image and Video Retrieval Techniques (9 papers), Advanced Vision and Imaging (8 papers), Robotics and Sensor-Based Localization (7 papers), 3D Surveying and Cultural Heritage (6 papers), Genetics and Plant Breeding (5 papers) and Wheat and Barley Genetics and Pathology (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (682 citations), Geology (76 citations), Plant Science (503 citations), Agronomy and Crop Science (112 citations) and Aerospace Engineering (252 citations). Jinglu Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zengyi Qin, Xinyu Guo, Yan Lu, Jianjun Du, Yan Lu, Huirong Shi, Zhenfeng Duan, Weiliang Wen, Chunjiang Zhao and Shenghao Gu. Their work appears in journals such as Frontiers in Plant Science, Gynecologic Oncology, RSC Advances, Plant Biotechnology Journal and Oncotarget.

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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