Daning Hu

42 papers receiving 568 citations

Peers

Daning Hu
Comparison fields: 5 of 85
  • Communication 84
  • Management Information Systems 99
  • Computer Science Applications 60
  • Information Systems 243
  • Computational Mathematics 4
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Basit Shafiq United States
Zhangxi Lin United States
Linda Levine United States
Claudio Schifanella Italy
Giovanni Quattrone Italy
Harry Jiannan Wang United States
Witold Abramowicz Poland
Bjørnar Tessem Norway
Divakaran Liginlal United States
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Citations per year

Countries citing papers authored by Daning Hu

Since Specialization
Citations

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

Fields of papers citing papers by Daning Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daning Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daning Hu Line = papers co-authored together Daning Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014105
2 201461
3 201652
4 201442
5 201239
6 201232
7 201126
8 200725
9 200917
10 201016
11 200916
12 200814
13 201514
14
Expert Recommendation Via Semantic Social Networks
200813
15 201313
16 200711
17 201310
18
A comparison of evaluation networks and collaboration networks in open source software communities
20089
19 20108
20 20148

About Daning Hu

Daning Hu is a scholar working on Information Systems, Computer Science Applications, Communication, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 45 papers that have together received 600 indexed citations. Recurring topics across this work include Open Source Software Innovations (11 papers), Knowledge Management and Sharing (10 papers), Complex Network Analysis Techniques (8 papers), Banking stability, regulation, efficiency (6 papers), Wikis in Education and Collaboration (6 papers), Crime Patterns and Interventions (3 papers), Business Process Modeling and Analysis (3 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Communication (84 citations), Management Information Systems (99 citations), Computer Science Applications (60 citations), Information Systems (243 citations) and Computational Mathematics (4 citations). Daning Hu has collaborated with scholars based in Switzerland, United States and Hong Kong. Frequent co-authors include Jing Zhao, Shuiguang Deng, Hongyue Wu, Zhaohui Wu, Hsinchun Chen, Junbo Zhao, Shaokun Fan, Jeff Z. Pan, Longtao Huang and Huajun Chen. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Nanoparticle Research, IEEE Transactions on Services Computing, Decision Support Systems and Financial Innovation.

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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