Jiadong Lin

3.0k total citations
16 papers, 303 citations indexed

About

Jiadong Lin is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Jiadong Lin has authored 16 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Genetics. Recurrent topics in Jiadong Lin's work include Genomics and Phylogenetic Studies (7 papers), Adversarial Robustness in Machine Learning (5 papers) and Chromosomal and Genetic Variations (4 papers). Jiadong Lin is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Adversarial Robustness in Machine Learning (5 papers) and Chromosomal and Genetic Variations (4 papers). Jiadong Lin collaborates with scholars based in China, Netherlands and United States. Jiadong Lin's co-authors include John E. Hopcroft, Kai Ye, Kun He, Peng Jia, Xiaofei Yang, Min Zhang, Li Guo, Jianyong Sun, Bowen Liu and Hao Liang and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Bioinformatics.

In The Last Decade

Jiadong Lin

14 papers receiving 298 citations

Peers

Jiadong Lin
Comparison fields: 5 of 58
  • Molecular Biology 133
  • Artificial Intelligence 103
  • Cancer Research 49
  • Genetics 45
  • Plant Science 41
Replace Kyu‐Baek Hwang with:
Kyu‐Baek Hwang South Korea
Jifa Li China
Te-Cheng Hsu Taiwan
Alida Palmisano United States
Wooil Kim South Korea
Yuhang Wang China
Vinod Kumar Singh India
Dimitrios Kleftogiannis Saudi Arabia
Kyu‐Baek Hwang South Korea View profile →
Citations per field, relative to Jiadong Lin
Jiadong Lin · 1×
Citations per year, relative to Jiadong Lin
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Countries citing papers authored by Jiadong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jiadong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiadong Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jiadong Lin. A scholar is included among the top collaborators of Jiadong Lin 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 Jiadong Lin. Jiadong Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 1
3 9
4 7
5 0
6 8
7 39
8 73
9 62
10 5
11 63
12
Robust Local Features for Improving the Generalization of Adversarial Training
6
13
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
16
14
Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples.
4
15 7
16 3

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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