Zuo Dai

557 total citations
6 papers, 349 citations indexed

About

Zuo Dai is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Zuo Dai has authored 6 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Industrial and Manufacturing Engineering, 2 papers in Computational Theory and Mathematics and 1 paper in Artificial Intelligence. Recurrent topics in Zuo Dai's work include Manufacturing Process and Optimization (3 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Optimization and Packing Problems (3 papers). Zuo Dai is often cited by papers focused on Manufacturing Process and Optimization (3 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Optimization and Packing Problems (3 papers). Zuo Dai collaborates with scholars based in China, United States and Hong Kong. Zuo Dai's co-authors include Chandra Chekuri, Sudipto Guha, Ashish Goel, Moses Charikar, To-Yat Cheung, Ming Li, Ming Li and Jintun Zhang and has published in prestigious journals such as Journal of Algorithms, Landscape and Ecological Engineering and Symposium on Discrete Algorithms.

In The Last Decade

Zuo Dai

6 papers receiving 331 citations

Peers

Zuo Dai
Comparison fields: 5 of 49
  • Computer Networks and Communications 208
  • Computational Theory and Mathematics 111
  • Electrical and Electronic Engineering 84
  • Artificial Intelligence 37
  • Industrial and Manufacturing Engineering 30
Replace Koichi Yamazaki with:
Koichi Yamazaki Japan
Jaroslav Opatrný Canada
Christian Schulte Sweden
Hiro Ito Japan
Pino Persiano Italy
Richard Borie United States
Kevin Wayne United States
Toshimasa Watanabe Japan
Vasco Manquinho Portugal
Hans-Joachim Böckenhauer Switzerland
Koichi Yamazaki Japan View profile →
Citations per field, relative to Zuo Dai
Zuo Dai · 1×
Citations per year, relative to Zuo Dai
Zuo Dai · 1×

Countries citing papers authored by Zuo Dai

Since Specialization
Citations

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

Fields of papers citing papers by Zuo Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zuo Dai

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 1
2 242
3 85
4 7
5 8
6 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026