Song Zuo

726 total citations
41 papers, 384 citations indexed

About

Song Zuo is a scholar working on Management Science and Operations Research, Marketing and Economics and Econometrics. According to data from OpenAlex, Song Zuo has authored 41 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Management Science and Operations Research, 21 papers in Marketing and 8 papers in Economics and Econometrics. Recurrent topics in Song Zuo's work include Auction Theory and Applications (26 papers), Consumer Market Behavior and Pricing (19 papers) and Digital Platforms and Economics (7 papers). Song Zuo is often cited by papers focused on Auction Theory and Applications (26 papers), Consumer Market Behavior and Pricing (19 papers) and Digital Platforms and Economics (7 papers). Song Zuo collaborates with scholars based in United States, China and Switzerland. Song Zuo's co-authors include Quantian Luo, Dayang Wang, Yongshan Zhang, Vahab Mirrokni, Pingzhong Tang, Jieming Mao, Weiran Shen, Renato Paes Leme, Santiago Balseiro and Chengfei Li and has published in prestigious journals such as Journal of the American College of Cardiology, Econometrica and Polymer.

In The Last Decade

Song Zuo

39 papers receiving 379 citations

Peers

Song Zuo
Comparison fields: 5 of 66
  • Management Science and Operations Research 154
  • Marketing 134
  • Civil and Structural Engineering 120
  • Artificial Intelligence 54
  • Mechanical Engineering 41
Replace Yuqing Hu with:
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Mounir Ben Ghalia United States
Reyhan Aydoğan Türkiye
Da Ren China
Wen-Hsiang Wu Taiwan
Nagul Cooharojananone Thailand
Bingbing Lei China
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Yuqing Hu China View profile →
Citations per field, relative to Song Zuo
Song Zuo · 1×
Citations per year, relative to Song Zuo
Song Zuo · 1×

Countries citing papers authored by Song Zuo

Since Specialization
Citations

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

Fields of papers citing papers by Song Zuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Zuo

This figure shows the co-authorship network connecting the top 25 collaborators of Song Zuo. A scholar is included among the top collaborators of Song Zuo 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 Song Zuo. Song Zuo 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
# Work Indexed citations
1 3
2 0
3 0
4 1
5 3
6 45
7 4
8 1
9 9
10 18
11 1
12 1
13 9
14
Incentive-Aware Learning for Large Markets
1
15
Application of C.M.Shepherd Battery Model in Blade Electric Vehicle’s Modeling and Simulation
1
16 3
17
Dynamic auctions with bank accounts
11
18 6
19 1
20
PTSD of Survivors of Tremendous Explosion
2

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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