Weining Qian

3.9k citations
134 papers · 2.2k indexed · 1 hit paper · h-index 19
Topics
Cloud Computing and Resource Management (29 papers)Caching and Content Delivery (29 papers)Peer-to-Peer Network Technologies (25 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsInformation Sciences

In The Last Decade

Weining Qian

118 papers receiving 2.0k citations

Hit Papers

Density-Based Clustering over an Evolving Data Stream wit...20062026201220192006200400600

Peers

Weining Qian
Comparison fields: 5 of 107
  • Artificial Intelligence 1.3k
  • Computer Networks and Communications 747
  • Information Systems 701
  • Signal Processing 626
  • Statistical and Nonlinear Physics 236
Replace Neil Zhenqiang Gong with:
Neil Zhenqiang Gong United States
Hakan Ferhatosmanoğlu United States
Lizhu Zhou China
Claudio Lucchese Italy
Binxing Fang China
Mudhakar Srivatsa United States
Domenico Ursino Italy
Sancheng Peng China
Raffaele Perego Italy
Yuanyuan Tian United States
Weining Qian relative to Neil Zhenqiang Gong United States Neil Zhenqiang Gong's profile →
Citations per field
00.5×1.5×1.9×
Neil Zhenqiang Gong · 1×
Citations per year

Countries citing papers authored by Weining Qian

Since Specialization
Citations

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

Fields of papers citing papers by Weining Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weining Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Weining Qian. A scholar is included among the top collaborators of Weining 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 Weining Qian. Weining 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
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Hot Social Events on SinaWeibo
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Discovering social media experts by integrating social networks and contents
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Density-Based Clustering over an Evolving Data Stream with Noisebreakdown →
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About Weining Qian

Weining Qian is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing, having authored 134 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (29 papers), Caching and Content Delivery (29 papers) and Peer-to-Peer Network Technologies (25 papers). The work is most often cited by research in Signal Processing (626 citations), Artificial Intelligence (1.3k citations) and Computer Networks and Communications (747 citations). Weining Qian has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Aoying Zhou, Feng Cao, Minqi Zhou, Rong Zhang, Cheqing Jin, Wei Xie, Jeffrey Xu Yu, Chaofeng Sha, Wei Li and Qiang Ma. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and 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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