Peide Qian

33 papers receiving 234 citations

Peers

Peide Qian
Comparison fields: 5 of 41
  • Artificial Intelligence 156
  • Computer Networks and Communications 80
  • Electrical and Electronic Engineering 44
  • Molecular Biology 33
  • Computational Theory and Mathematics 29
Replace Konstantinos Limniotis with:
Konstantinos Limniotis Greece
Sergiu Carpov France
Pierre-Louis Cayrel France
Anna Pagh Denmark
Sanghamitra Dutta United States
Hugues Mercier Switzerland
Benjamin Sach United Kingdom
Alicia P. Wolfe United States
Viktor Prasanna United States
Harashta Tatimma Larasati South Korea
Peide Qian relative to Konstantinos Limniotis Greece Konstantinos Limniotis's profile →
Citations per field
00.5×5.7×
Konstantinos Limniotis · 1×
Citations per year

Countries citing papers authored by Peide Qian

Since Specialization
Citations

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

Fields of papers citing papers by Peide Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peide Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Peide Qian. A scholar is included among the top collaborators of Peide Qian 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 Peide Qian. Peide Qian 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 1
3 3
4
Design and implementation of IME for Windows Mobile Standard
1
5
Survey on Coreference Resolution
1
6 0
7 0
8 1
9 7
10 21
11 29
12
The Application of Combined Linguistic Features in Semantic Relation Extraction
2
13
Construction Approach of Large-scale Corpus Based on Web
1
14 78
15 2
16
Relation Extraction Using Convolution Tree Kernel Expanded with Entity Features
3
17
Email categorization with maximum entropy model
0
18
Towards Evaluating Chinese Character Digital Input System
0
19
Server Load Prediction Based on Time Series
3
20
A Security System Model Based on Mandatory Access Control and Information Flow
0

About Peide Qian

Peide Qian is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 39 papers that have together received 258 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Topic Modeling (8 papers) and Access Control and Trust (6 papers). The work is most often cited by research in Artificial Intelligence (156 citations), Computer Networks and Communications (80 citations) and Hardware and Architecture (18 citations). Peide Qian has collaborated with scholars based in China, United States and Bulgaria. Frequent co-authors include Guodong Zhou, Qiaoming Zhu, Longhua Qian, Fang Kong, Zhifeng Chen, Jianxi Fan, Shukui Zhang, Junhui Li, Hai Zhao and Xian Wu. Their work appears in journals such as Information Sciences, Journal of Molecular Modeling and Science China Information Sciences.

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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