Zhao Chen

578 citations
13 papers · 393 indexed · h-index 6
Topics
Mobile Crowdsensing and Crowdsourcing (5 papers)Optimization and Search Problems (3 papers)Stochastic Gradient Optimization Techniques (3 papers)

In The Last Decade

Zhao Chen

12 papers receiving 385 citations

Peers

Zhao Chen
Comparison fields: 5 of 48
  • Computer Science Applications 284
  • Artificial Intelligence 127
  • Transportation 110
  • Management Science and Operations Research 97
  • Computer Networks and Communications 88
Replace Tianshu Song with:
Tianshu Song China
Zhenni Feng China
Juong-Sik Lee United States
Vasilis Verroios United States
Ioannis Boutsis Greece
Leyla Kazemi United States
Hien To United States
Mingyuan Yan United States
Cen Chen China
Maryam Pouryazdan Canada
Zhao Chen relative to Tianshu Song China Tianshu Song's profile →
Citations per field
00.5×6.2×
Tianshu Song · 1×
Citations per year

Countries citing papers authored by Zhao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhao Chen

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 2
3 45
4 3
5
How servant leadership impact the cohesion and burnout of female athlete and how self-identity intermediate the association between servant leadership, cohesion and burnout
5
6 44
7 49
8 10
9 137
10 4
11 92
12 0
13 1

About Zhao Chen

Zhao Chen is a scholar working on Computer Science Applications, Transportation and Physical Therapy, Sports Therapy and Rehabilitation, having authored 13 papers that have together received 393 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (5 papers), Optimization and Search Problems (3 papers) and Stochastic Gradient Optimization Techniques (3 papers). The work is most often cited by research in Computer Science Applications (284 citations), Transportation (110 citations) and Management Science and Operations Research (97 citations). Zhao Chen has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Lei Chen, Peng Cheng, Jinsong Han, Xiang Lian, Rui Fu, Jizhong Zhao, Yuxiang Zeng, Caleb Chen Cao, Yongxin Tong and Zheng Liu. Their work appears in journals such as Proceedings of the VLDB Endowment, Linear Algebra and its Applications and The VLDB Journal.

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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