Lin Qiu

1.2k citations
48 papers · 638 indexed · h-index 12
Topics
Topic Modeling (10 papers)Natural Language Processing Techniques (7 papers)Cooperative Communication and Network Coding (5 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Lin Qiu

42 papers receiving 607 citations

Peers

Lin Qiu
Comparison fields: 5 of 97
  • Artificial Intelligence 260
  • Atmospheric Science 93
  • Computer Vision and Pattern Recognition 79
  • Water Science and Technology 76
  • Information Systems 64
Replace Vassil Alexandrov with:
Vassil Alexandrov United Kingdom
Valérie Pascual France
Min Fang China
Hiroshi Inoue Japan
Richard Whaley United States
Pushpa N. Rathie Brazil
Z. A. Melzak Canada
Peter Jansen Canada
Wen‐Xiang Zhu China
Jan Mielniczuk Poland
Lin Qiu relative to Vassil Alexandrov United Kingdom Vassil Alexandrov's profile →
Citations per field
00.5×10×12.7×
Vassil Alexandrov · 1×
Citations per year

Countries citing papers authored by Lin Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Qiu. A scholar is included among the top collaborators of Lin Qiu 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 Lin Qiu. Lin Qiu 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 1
3 7
4 62
5 11
6 3
7 65
8 10
9
Asymptotic solutions of the nonlinear eigenvalue problems in the multi-fieldcoupled dynamic equations
1
10 2
11
QoS Aware Resource Allocation Algorithm in OFDMA Cooperative Network
1
12 1
13
Reservoir Flood Control Operation Based on Particle Swarm Optimization Algorithm with Dynamic Parameters of Position
1
14
The Application of Chaos-Optimization Algorithm in Reservoir Optimal Operation
2
15 27
16 3
17 1
18 1
19 32
20 84

About Lin Qiu

Lin Qiu is a scholar working on Filtration and Separation, Numerical Analysis and Computer Networks and Communications, having authored 48 papers that have together received 638 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Cooperative Communication and Network Coding (5 papers). The work is most often cited by research in Artificial Intelligence (260 citations), Numerical Analysis (39 citations) and Fluid Flow and Transfer Processes (35 citations). Lin Qiu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include U. C. Sridharan, F. Kaufman, Yong Yu, Dongmei Xu, Shouyu Chen, Weinan Zhang, Weinan Zhang, Sheng Gao, Jun Guo and Hao Zhou. Their work appears in journals such as The Journal of Physical Chemistry, IEEE Access and Neurocomputing.

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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