Jiuyong Li

9.3k citations
238 papers · 5.8k indexed · 2 hit papers · h-index 38
Topics
Bayesian Modeling and Causal Inference (33 papers)Privacy-Preserving Technologies in Data (32 papers)Data Mining Algorithms and Applications (31 papers)

In The Last Decade

Jiuyong Li

224 papers receiving 5.6k citations

Hit Papers

A review of the structure, and fundamental mechanisms an...200620262012201920132006100200300400

Peers

Jiuyong Li
Comparison fields: 5 of 197
  • Artificial Intelligence 2.2k
  • Molecular Biology 1.6k
  • Cancer Research 1.1k
  • Information Systems 717
  • Biomedical Engineering 557
Replace Xian Wu with:
Xian Wu China
Iñaki Inza Spain
Yanchun Liang China
Blaž Zupan Slovenia
Yoichi Hayashi Japan
Ioannis Tsamardinos Greece
Xiangliang Zhang Saudi Arabia
Bernd Bischl Germany
Jiayu Zhou United States
Constantin Aliferis United States
Jiuyong Li relative to Xian Wu China Xian Wu's profile →
Citations per field
00.5×4.6×
Xian Wu · 1×
Citations per year

Countries citing papers authored by Jiuyong Li

Since Specialization
Citations

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

Fields of papers citing papers by Jiuyong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiuyong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jiuyong Li. A scholar is included among the top collaborators of Jiuyong Li 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 Jiuyong Li. Jiuyong Li 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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5 2
6 2
7 1
8 3
9 5
10 13
11 9
12 2
13 5
14 11
15 15
16 61
17 6
18 31
19
Studying genotype-phenotype attack on k -anonymised medical and genomic data
2
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Priority driven k -anonymisation for privacy protection
5

About Jiuyong Li

Jiuyong Li is a scholar working on Artificial Intelligence, Statistics and Probability and Cancer Research, having authored 238 papers that have together received 5.8k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (33 papers), Privacy-Preserving Technologies in Data (32 papers) and Data Mining Algorithms and Applications (31 papers). The work is most often cited by research in Cancer Research (1.1k citations), Artificial Intelligence (2.2k citations) and Computer Science Applications (284 citations). Jiuyong Li has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Lin Liu, Thuc Duy Le, Jixue Liu, Murray J. Cairns, Raymond Chi-Wing Wong, Bingyu Sun, Ada Wai-Chee Fu, Andrea R. Gerson, Nobuyuki Kawashima and Junpeng Zhang. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.

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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