Zijun Yao

1.2k citations
25 papers · 855 indexed · 1 hit paper · h-index 10
Topics
Human Mobility and Location-Based Analysis (9 papers)Machine Learning in Healthcare (6 papers)Recommender Systems and Techniques (5 papers)

In The Last Decade

Zijun Yao

21 papers receiving 829 citations

Hit Papers

Learning geographical preferences for point-of-interest r...20132026201720212013100200300

Peers

Zijun Yao
Comparison fields: 5 of 71
  • Transportation 555
  • Information Systems 445
  • Signal Processing 197
  • Artificial Intelligence 158
  • Computer Vision and Pattern Recognition 112
Replace Yiding Liu with:
Yiding Liu China
Ko Fujimura Japan
Bingqing Qu Switzerland
Wuman Luo Hong Kong
Xinjiang Lu China
Chuishi Meng United States
Ioannis Kopanakis Greece
Yaron Kanza United States
Dimitris Sacharidis Greece
Zijun Yao relative to Yiding Liu China Yiding Liu's profile →
Citations per field
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Yiding Liu · 1×
Citations per year

Countries citing papers authored by Zijun Yao

Since Specialization
Citations

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

Fields of papers citing papers by Zijun Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zijun Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Zijun Yao. A scholar is included among the top collaborators of Zijun Yao 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 Zijun Yao. Zijun Yao 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 0
2 0
3 3
4 0
5 0
6 2
7 4
8 3
9 3
10 2
11 19
12 8
13 71
14 68
15 4
16 14
17 64
18 148
19 60
20
Learning geographical preferences for point-of-interest recommendationbreakdown →
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About Zijun Yao

Zijun Yao is a scholar working on Transportation, Health Informatics and Health Information Management, having authored 25 papers that have together received 855 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (9 papers), Machine Learning in Healthcare (6 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Transportation (555 citations), Information Systems (445 citations) and Signal Processing (197 citations). Zijun Yao has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Hui Xiong, Yanjie Fu, Bin Liu, Spiros Papadimitriou, Yong Ge, Yu Zheng, Yanchi Liu, Bin Liu, Bin Liu and Zhi‐Hua Zhou. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Teacher Education and ACM Transactions on Information Systems.

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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