Tsung-Yu Lu

2.7k total citations
7 papers, 118 citations indexed

About

Tsung-Yu Lu is a scholar working on Molecular Biology, Genetics and Economics and Econometrics. According to data from OpenAlex, Tsung-Yu Lu has authored 7 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Economics and Econometrics. Recurrent topics in Tsung-Yu Lu's work include Genetic Associations and Epidemiology (2 papers), Insurance and Financial Risk Management (2 papers) and Handwritten Text Recognition Techniques (1 paper). Tsung-Yu Lu is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Insurance and Financial Risk Management (2 papers) and Handwritten Text Recognition Techniques (1 paper). Tsung-Yu Lu collaborates with scholars based in Taiwan and United States. Tsung-Yu Lu's co-authors include Albert Y. Chen, Matthew Huei‐Ming, Wei‐Zen Sun, Mark Chaisson, Nicholas Mancuso, Geoffrey Fudenberg, Scott E. Devine, Katherine M. Munson, Alexandra P. Lewis and Charles Lee and has published in prestigious journals such as Nature Communications, Genome Research and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Tsung-Yu Lu

7 papers receiving 115 citations

Peers

Tsung-Yu Lu
Comparison fields: 5 of 48
  • Molecular Biology 38
  • Genetics 21
  • Organizational Behavior and Human Resource Management 20
  • Ocean Engineering 17
  • Transportation 14
Replace Frank Stadler with:
Frank Stadler Australia
Julius von Kügelgen United Kingdom
Ravi Mathur United States
Iva Petkova Bulgaria
Bharuno Mahesworo Indonesia
Ziad Khan United States
Julia Isaeva Norway
Hyobin Kim United States
Dilip Yadav India
Juliane Schneider Germany
Frank Stadler Australia View profile →
Citations per field, relative to Tsung-Yu Lu
Tsung-Yu Lu · 1×
Citations per year, relative to Tsung-Yu Lu
Tsung-Yu Lu · 1×

Countries citing papers authored by Tsung-Yu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Tsung-Yu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsung-Yu Lu. 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 Tsung-Yu Lu. The network helps show where Tsung-Yu Lu may publish in the future.

Co-authorship network of co-authors of Tsung-Yu Lu

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 19
2 1
3 27
4 1
5 56
6 8
7 6

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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