Bin Yan

795 citations
16 papers · 569 indexed · 1 hit paper · h-index 8

Impact in

Papers in

    • Spectroscopy and Chemometric Analyses 3
    • Smart Agriculture and AI 10
    • Plant Virus Research Studies 3
    • Plant Disease Management Techniques 2

Bin Yan

12 papers receiving 556 citations

Hit Papers

A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5 2021 · 411 citations
4112021202620222024100200300400

Peers

Bin Yan
Comparison fields: 5 of 89
  • Plant Science 313
  • Industrial and Manufacturing Engineering 76
  • Analytical Chemistry 74
  • Computer Vision and Pattern Recognition 145
  • Media Technology 44
Replace Mei Jiang with:
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Zhihua Diao China
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Bin Yan relative to Mei Jiang China Mei Jiang's profile →
Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by Bin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Bin Yan, 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 Bin Yan Line = papers co-authored together Bin Yan links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20250
2 20250
3 20252
4 20250
5 20247
6 202410
7 20242
8 20244
9 202216
10
A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5
Hit paper breakdown →
2021411
11 202130
12 202123
13 202139
14 20198
15 201817
16 20180

About Bin Yan

Bin Yan is a scholar working on Analytical Chemistry, Plant Science, Biophysics, Small Animals and Media Technology, having authored 16 papers that have together received 569 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), Plant Virus Research Studies (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Plant Disease Management Techniques (2 papers), Remote Sensing and Land Use (2 papers), Robotics and Sensor-Based Localization (2 papers), Modular Robots and Swarm Intelligence (1 paper) and Tea Polyphenols and Effects (1 paper). The work is most often cited by research in Plant Science (313 citations), Industrial and Manufacturing Engineering (76 citations), Analytical Chemistry (74 citations), Computer Vision and Pattern Recognition (145 citations) and Media Technology (44 citations). Bin Yan has collaborated with scholars based in China, Estonia and Tunisia. Frequent co-authors include Pan Fan, Fuzeng Yang, Zhijie Liu, Xiaoyan Lei, Meirong Wang, Wenchuan Guo, Chunna Tian, Yang Liu, Guojie Li and Xiang-Shan Kong. Their work appears in journals such as Remote Sensing, Horticulturae, Journal of the Science of Food and Agriculture, Agronomy and Computers and Electronics in Agriculture.

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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