Peilin Zhao

12.7k citations
171 papers · 6.6k indexed · 5 hit papers · h-index 44
Topics
Data Stream Mining Techniques (37 papers)Advanced Bandit Algorithms Research (35 papers)Machine Learning and Algorithms (30 papers)

In The Last Decade

Peilin Zhao

161 papers receiving 6.4k citations

Hit Papers

Rumor Detection on Social Media...201020262015202020202021201920102023100200300400

Peers

Peilin Zhao
Comparison fields: 5 of 170
  • Artificial Intelligence 3.5k
  • Computer Vision and Pattern Recognition 1.9k
  • Information Systems 983
  • Management Science and Operations Research 850
  • Molecular Biology 731
Replace Cheng Yang with:
Cheng Yang China
Zhengyan Zhang China
Markus Hagenbuchner Australia
Gabriele Monfardini Italy
Tao Qin China
Shengding Hu China
Longbing Cao Australia
M. Gori Italy
Ameet Talwalkar United States
Ganqu Cui China
Peilin Zhao relative to Cheng Yang China Cheng Yang's profile →
Citations per field
00.5×11.1×
Cheng Yang · 1×
Citations per year

Countries citing papers authored by Peilin Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Peilin Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peilin Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Peilin Zhao. A scholar is included among the top collaborators of Peilin Zhao 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 Peilin Zhao. Peilin Zhao 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 1
2 0
3 3
4 0
5 2
6 3
7 0
8 2
9 3
10 8
11 1
12 14
13 61
14 27
15 113
16 21
17
Efficient multi-class selective sampling on graphs
3
18
Online Passive Aggressive Active Learning and Its Applications
14
19
Large scale online kernel classification
13
20
Effect of Conservation Tillage on Carbon Storage in Corn Fields
1

About Peilin Zhao

Peilin Zhao is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 171 papers that have together received 6.6k indexed citations. Recurring topics across this work include Data Stream Mining Techniques (37 papers), Advanced Bandit Algorithms Research (35 papers) and Machine Learning and Algorithms (30 papers). The work is most often cited by research in Artificial Intelligence (3.5k citations), Computer Vision and Pattern Recognition (1.9k citations) and Management Science and Operations Research (850 citations). Peilin Zhao has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Steven C. H. Hoi, Junzhou Huang, Jialei Wang, Rong Jin, Yu Rong, Jing Lu, Xiaoli Li, Min Wu, Wenbing Huang and Chunyan Miao. Their work appears in journals such as Nature Communications, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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