Daniel Zeng
Impact in
- Information Systems top 0.1%
- Recommender Systems and Techniques
- Spam and Phishing Detection
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Topic Modeling 63
- Sentiment Analysis and Opinion Mining 46
- Advanced Text Analysis Techniques 45
- Advanced Graph Neural Networks 37
-
- Recommender Systems and Techniques 32
- Co-authors
- Hsinchun Chen (38 shared papers)Zan Huang (13 shared papers)Fei–Yue Wang (45 shared papers)Xiaolong Zheng (58 shared papers)Wenji Mao (36 shared papers)Hsinchun Chen (13 shared papers)Qiudan Li (42 shared papers)Linjing Li (48 shared papers)
- Journals
- IEEE Intelligent Systems (37 papers)Journal of the Association for Information Systems (13 papers)Decision Support Systems (11 papers)INFORMS journal on computing (10 papers)Journal of Medical Internet Research (9 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Daniel Zeng
407 papers receiving 7.2k citations
Daniel Zeng's Hit Papers
Peers
Comparison fields: 5 of 193
- Information Systems 2.3k
- Statistical and Nonlinear Physics 1.1k
- Artificial Intelligence 2.5k
- Communication 386
- Marketing 487
Countries citing papers authored by Daniel Zeng
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
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.
All Works
Showing the 20 most-cited of 438 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 439 | |
| 2 | 2007 | 370 | |
| 3 | Social Media Analytics and Intelligence Hit paper breakdown → | 2010 | 370 |
| 4 | 2007 | 169 | |
| 5 | 2018 | 158 | |
| 6 | 2007 | 136 | |
| 7 | 2003 | 135 | |
| 8 | 2009 | 128 | |
| 9 | 2006 | 109 | |
| 10 | 2007 | 107 | |
| 11 | 2013 | 107 | |
| 12 | 2002 | 99 | |
| 13 | 2019 | 99 | |
| 14 | 2022 | 92 | |
| 15 | 2014 | 83 | |
| 16 | 2015 | 81 | |
| 17 | 2018 | 79 | |
| 18 | 2014 | 75 | |
| 19 | 2008 | 70 | |
| 20 | 2015 | 69 |
About Daniel Zeng
Daniel Zeng is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Management Science and Operations Research and Sociology and Political Science, having authored 438 papers that have together received 7.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (82 papers), Topic Modeling (63 papers), Sentiment Analysis and Opinion Mining (46 papers), Advanced Text Analysis Techniques (45 papers), Opinion Dynamics and Social Influence (38 papers), Advanced Graph Neural Networks (37 papers), Recommender Systems and Techniques (32 papers) and Consumer Market Behavior and Pricing (29 papers). The work is most often cited by research in Information Systems (2.3k citations), Statistical and Nonlinear Physics (1.1k citations), Artificial Intelligence (2.5k citations), Communication (386 citations) and Marketing (487 citations). Daniel Zeng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hsinchun Chen, Zan Huang, Fei–Yue Wang, Xiaolong Zheng, Wenji Mao, Hsinchun Chen, Qiudan Li, Linjing Li, Ahmed Abbasi 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.