Zilong Tan

1.1k citations
20 papers · 758 indexed · 1 hit paper · h-index 9
Topics
Adaptive Dynamic Programming Control (3 papers)Distributed and Parallel Computing Systems (2 papers)Advanced Data Storage Technologies (2 papers)

In The Last Decade

Zilong Tan

18 papers receiving 711 citations

Hit Papers

Disease and health management in Asian aquaculture20052026201220192005100200300400500

Peers

Zilong Tan
Comparison fields: 5 of 108
  • Immunology 413
  • Aquatic Science 291
  • Ecology 125
  • Molecular Biology 104
  • Endocrinology 79
Replace Daniel Padilla with:
Daniel Padilla Spain
Nantarika Chansue Thailand
Donald H. Lewis United States
Chao Pei China
Young Chul Kim South Korea
Md. Anisur Rahman Bangladesh
Xia Guo China
Yucong Huang China
Liqun Lu China
Nina Santi Norway
Zilong Tan relative to Daniel Padilla Spain Daniel Padilla's profile →
Citations per field
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Citations per year

Countries citing papers authored by Zilong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Zilong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zilong Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Zilong Tan. A scholar is included among the top collaborators of Zilong Tan 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 Zilong Tan. Zilong Tan 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
1 1
2 0
3 6
4 0
5 18
6 36
7 4
8 9
9
Learning Fair Representations for Kernel Models.
4
10 9
11 7
12 1
13 5
14 25
15
Subspace-Induced Gaussian Processes
1
16 9
17 8
18 17
19 2
20
Disease and health management in Asian aquaculturebreakdown →
596

About Zilong Tan

Zilong Tan is a scholar working on Computer Networks and Communications, Hardware and Architecture and Modeling and Simulation, having authored 20 papers that have together received 758 indexed citations. Recurring topics across this work include Adaptive Dynamic Programming Control (3 papers), Distributed and Parallel Computing Systems (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Aquatic Science (291 citations), Immunology (413 citations) and Endocrinology (79 citations). Zilong Tan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Kazuo Ogawa, Robert D. Adlard, John R. Arthur, Melba G. Bondad‐Reantaso, Supranee Chinabut, Mohamed Shariff, Rohana Subasinghe, Shivnath Babu, Ameet Talwalkar and Alec Chiu. Their work appears in journals such as New Phytologist, The American Journal of Human Genetics and IEEE Transactions on Cybernetics.

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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