Baojun Qiu

520 citations
10 papers · 324 indexed · h-index 8
Topics
Complex Network Analysis Techniques (9 papers)Opinion Dynamics and Social Influence (7 papers)Peer-to-Peer Network Technologies (3 papers)
Journals
Journal of the American Society for Information Science and TechnologyProceedings of the AAAI Conference on Artificial IntelligenceUniversity of North Texas Digital Library (University of North Texas)

In The Last Decade

Baojun Qiu

10 papers receiving 306 citations

Peers

Baojun Qiu
Comparison fields: 5 of 70
  • Artificial Intelligence 182
  • Statistical and Nonlinear Physics 148
  • Information Systems 70
  • Sociology and Political Science 47
  • Social Psychology 29
Replace Loulwah AlSumait with:
Loulwah AlSumait Kuwait
Aparup Khatua India
Kathy McKeown United States
Dat Quoc Nguyen Vietnam
Xuning Tang United States
Ana Meštrović Croatia
Florian Lemmerich Germany
Go Eun Heo South Korea
Wojciech Gryc United States
Samuel Brody United States
Baojun Qiu relative to Loulwah AlSumait Kuwait Loulwah AlSumait's profile →
Citations per field
00.5×1.6×
Loulwah AlSumait · 1×
Citations per year

Countries citing papers authored by Baojun Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Baojun Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baojun Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Baojun Qiu. A scholar is included among the top collaborators of Baojun 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 Baojun Qiu. Baojun Qiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1
Identifying Leaders in an Online Cancer Survivor Community
8
2 62
3 6
4 7
5 8
6 20
7 2
8 10
9 113
10 88

About Baojun Qiu

Baojun Qiu is a scholar working on Statistical and Nonlinear Physics, Communication and Computer Networks and Communications, having authored 10 papers that have together received 324 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (7 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (148 citations), General Social Sciences (22 citations) and Artificial Intelligence (182 citations). Baojun Qiu has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include C. Lee Giles, Prasenjit Mitra, Qi He, Henry C. Foley, Bi Yu Chen, John Yen, Jian Pei, Haizheng Zhang, J. Yen and Cornelia Caragea. Their work appears in journals such as Journal of the American Society for Information Science and Technology, Proceedings of the AAAI Conference on Artificial Intelligence and University of North Texas Digital Library (University of North Texas).

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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