Daniel Zeng

12.2k citations
495 papers · 8.9k · 3 hit papers · h-index 46

Impact in

Papers in

    • Topic Modeling 66
    • Advanced Text Analysis Techniques 48
    • Sentiment Analysis and Opinion Mining 47
    • Advanced Graph Neural Networks 38
    • Recommender Systems and Techniques 33

Daniel Zeng

461 papers receiving 8.5k citations

Daniel Zeng's Hit Papers

Social Media Analytics and Intelligence 2010 · 445 citations
4450+7+14Years since publication100200300400500

Peers

Daniel Zeng
Comparison fields: 5 of 196
  • Information Systems 2.8k
  • Statistical and Nonlinear Physics 1.3k
  • Artificial Intelligence 2.9k
  • Communication 488
  • Marketing 546
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Zeng, 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 Daniel Zeng Line = papers co-authored together Daniel Zeng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 495 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
Hit paper breakdown →
2004512
2
Social Computing: From Social Informatics to Social Intelligence
Hit paper breakdown →
2007451
3
Social Media Analytics and Intelligence
Hit paper breakdown →
2010445
4 2007200
5 2018170
6 2003163
7 2007157
8 2009154
9 2002122
10 2006122
11 2013118
12 2007115
13 2019106
14 202296
15 202095
16 201885
17 201484
18 201584
19 200483
20 201079

About Daniel Zeng

Daniel Zeng is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Epidemiology and Sociology and Political Science, having authored 495 papers that have together received 8.9k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (97 papers), Topic Modeling (66 papers), Data-Driven Disease Surveillance (48 papers), Advanced Text Analysis Techniques (48 papers), Sentiment Analysis and Opinion Mining (47 papers), Opinion Dynamics and Social Influence (44 papers), Advanced Graph Neural Networks (38 papers) and Recommender Systems and Techniques (33 papers). The work is most often cited by research in Information Systems (2.8k citations), Statistical and Nonlinear Physics (1.3k citations), Artificial Intelligence (2.9k citations), Communication (488 citations) and Marketing (546 citations). Daniel Zeng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hsinchun Chen, Fei–Yue Wang, Zan Huang, Xiaolong Zheng, Wenji Mao, Hsinchun Chen, Qiudan Li, Linjing Li, Kathleen M. Carley and Robert F. Lusch. Their work appears in journals such as IEEE Intelligent Systems, Journal of the Association for Information Systems, Decision Support Systems, INFORMS journal on computing and Journal of Medical Internet Research.

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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