Young Chang

1.6k citations
51 papers · 1.1k · 1 hit paper · h-index 18

Impact in

    • Spectroscopy and Chemometric Analyses
    • Smart Agriculture and AI
    • Leaf Properties and Growth Measurement
    • Plant Disease Management Techniques
    • Date Palm Research Studies
    • Plant Surface Properties and Treatments

Papers in

    • Berry genetics and cultivation research 17
    • Smart Agriculture and AI 17
    • Plant Disease Management Techniques 10
    • Horticultural and Viticultural Research 5
    • Powdery Mildew Fungal Diseases 5
    • Plant Pathogens and Fungal Diseases 14

Young Chang

46 papers receiving 1.0k citations

Young Chang's Hit Papers

Current and future applications of statistical machine learning algorithms for agricultural machine vision systems 2018 · 294 citations
2940+2+5Years since publication50100150200250

Peers

Young Chang
Comparison fields: 5 of 107
  • Analytical Chemistry 240
  • Plant Science 768
  • Ecology 220
  • Environmental Engineering 96
  • Cell Biology 89
Replace Qamar U. Zaman with:
Qamar U. Zaman Canada
Chunjiang Zhao China
Md Sultan Mahmud United States
Long He United States
Matthew D. Whiting United States
John K. Schueller United States
Junfeng Gao China
Mads Dyrmann Denmark
Amaia Ortiz‐Barredo Spain
Cheryl McCarthy Australia
Young Chang relative to Qamar U. Zaman Canada Qamar U. Zaman's profile →
Citations per field
00.5×1.5×
Qamar U. Zaman · 1×
Citations per year

Countries citing papers authored by Young Chang

Since Specialization
Citations

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

Fields of papers citing papers by Young Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
Hit paper breakdown →
2018294
2 2021127
3 201160
4 201345
5 201342
6 202041
7 201341
8 201839
9 201337
10 202234
11 201934
12 201228
13 201725
14 202024
15 201124
16 201622
17 202418
18 201817
19 202414
20 201413

About Young Chang

Young Chang is a scholar working on Plant Science, Cell Biology, Analytical Chemistry, Ecology and Biomedical Engineering, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Berry genetics and cultivation research (17 papers), Smart Agriculture and AI (17 papers), Plant Pathogens and Fungal Diseases (14 papers), Plant Disease Management Techniques (10 papers), Spectroscopy and Chemometric Analyses (8 papers), Remote Sensing in Agriculture (7 papers), Horticultural and Viticultural Research (5 papers) and Powdery Mildew Fungal Diseases (5 papers). The work is most often cited by research in Analytical Chemistry (240 citations), Plant Science (768 citations), Ecology (220 citations), Environmental Engineering (96 citations) and Cell Biology (89 citations). Young Chang has collaborated with scholars based in Canada, United States and Norway. Frequent co-authors include Jaemyung Shin, Qamar U. Zaman, Tanzeel U. Rehman, Md Sultan Mahmud, Arnold W. Schumann, Jian Jin, Travis J. Esau, Aitazaz A. Farooque, Brandon Heung and G.W. Price. Their work appears in journals such as Computers and Electronics in Agriculture, Applied Engineering in Agriculture, Precision Agriculture, Biosystems Engineering and Agronomy.

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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