Chia‐Lin Chung

1.5k citations
43 papers · 1.1k indexed · h-index 18
Topics
Plant Pathogens and Fungal Diseases (24 papers)Plant-Microbe Interactions and Immunity (12 papers)Plant Disease Resistance and Genetics (11 papers)

In The Last Decade

Chia‐Lin Chung

43 papers receiving 1.0k citations

Peers

Chia‐Lin Chung
Comparison fields: 5 of 95
  • Plant Science 870
  • Cell Biology 320
  • Genetics 235
  • Molecular Biology 201
  • Analytical Chemistry 171
Replace Cory D. Hirsch with:
Cory D. Hirsch United States
Nathan D. Miller United States
Tyr Wiesner‐Hanks United States
Marianna Fasoli Italy
Jiangjie Lu China
Silan Dai China
Jang Ryol Liu South Korea
Benedetto Ruperti Italy
Yi Yue China
Jiaoping Zhang United States
Chia‐Lin Chung relative to Cory D. Hirsch United States Cory D. Hirsch's profile →
Citations per field
00.5×2.7×
Cory D. Hirsch · 1×
Citations per year

Countries citing papers authored by Chia‐Lin Chung

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Lin Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Lin Chung. 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 Chia‐Lin Chung. The network helps show where Chia‐Lin Chung may publish in the future.

Co-authorship network of co-authors of Chia‐Lin Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Lin Chung. A scholar is included among the top collaborators of Chia‐Lin Chung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chia‐Lin Chung. Chia‐Lin Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 2
3 12
4 21
5 28
6 61
7 10
8 20
9 12
10 14
11 13
12 17
13 24
14 20
15 23
16
A comparison of machine learning methods on Hyperspectral plant disease assessments
1
17 40
18 57
19 92
20 74

About Chia‐Lin Chung

Chia‐Lin Chung is a scholar working on Cell Biology, Plant Science and Analytical Chemistry, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (24 papers), Plant-Microbe Interactions and Immunity (12 papers) and Plant Disease Resistance and Genetics (11 papers). The work is most often cited by research in Plant Science (870 citations), Cell Biology (320 citations) and Analytical Chemistry (171 citations). Chia‐Lin Chung has collaborated with scholars based in Taiwan, United States and Saudi Arabia. Frequent co-authors include Rebecca Nelson, Yan‐Fu Kuo, Szu‐Yu Chen, Peter Balint‐Kurti, Tiffany Jamann, S. S. Tzean, Hung‐Yi Wu, Hiran A. Ariyawansa, Ting‐Hsuan Hung and May‐Jywan Tsai. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

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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