Daniel Zeng
- Information Systems top 0.1%
- Recommender Systems and Techniques 31
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques 85
- Opinion Dynamics and Social Influence 39
- Artificial Intelligence top 0.5%
- Topic Modeling 62
- Sentiment Analysis and Opinion Mining 47
- Advanced Text Analysis Techniques 46
- Advanced Graph Neural Networks 36
- Communication top 1%
- Marketing top 2%
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- Data-Driven Disease Surveillance 31
- Journals
- IEEE Intelligent Systems (37 papers)Decision Support Systems (11 papers)Journal of the Association for Information Systems (11 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Daniel Zeng
403 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Information Systems 2.3k
- Statistical and Nonlinear Physics 1.1k
- Artificial Intelligence 2.6k
- Communication 416
- Marketing 481
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 2 | |
| 14 | 2019 | 26 | |
| 15 | 2018 | 5 | |
| 16 | 2016 | 31 | |
| 17 | eMood: Modeling Emotion for Social Media Analytics on Ebola Disease Outbreak | 2015 | 6 |
| 18 | 2014 | 0 | |
| 19 | 2011 | 26 | |
| 20 | Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics | 2008 | 3 |
About Daniel Zeng
Daniel Zeng is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Information Systems, having authored 438 papers that have together received 7.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (85 papers), Topic Modeling (62 papers), Sentiment Analysis and Opinion Mining (47 papers), Advanced Text Analysis Techniques (46 papers), Opinion Dynamics and Social Influence (39 papers), Advanced Graph Neural Networks (36 papers), Recommender Systems and Techniques (31 papers) and Data-Driven Disease Surveillance (31 papers). The work is most often cited by research in Information Systems (2.3k citations), Statistical and Nonlinear Physics (1.1k citations) and Artificial Intelligence (2.6k 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, Decision Support Systems, Journal of the Association for Information 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.