Daniel Zeng

12.1k total citations · 1 hit paper
438 papers, 7.5k citations indexed

About

Daniel Zeng is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Daniel Zeng has authored 438 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 176 papers in Artificial Intelligence, 118 papers in Information Systems and 90 papers in Statistical and Nonlinear Physics. Recurrent topics in Daniel Zeng's work include Complex Network Analysis Techniques (85 papers), Topic Modeling (62 papers) and Sentiment Analysis and Opinion Mining (47 papers). Daniel Zeng is often cited by papers focused on Complex Network Analysis Techniques (85 papers), Topic Modeling (62 papers) and Sentiment Analysis and Opinion Mining (47 papers). Daniel Zeng collaborates with scholars based in China, United States and Hong Kong. Daniel Zeng's 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 and has published in prestigious journals such as PLoS ONE, Management Science and Scientific Reports.

In The Last Decade

Daniel Zeng

403 papers receiving 7.1k citations

Hit Papers

Social Media Analytics and Intelligence 2010 2026 2015 2020 2010 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Social Media Analytics and Intelligence
    2010 368 citations Daniel Zeng, Hsinchun Chen et al. IEEE Intelligent Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Zeng China 42 2.6k 2.3k 1.5k 1.1k 740 438 7.5k
David M. Pennock United States 26 2.6k 1.0× 2.4k 1.0× 712 0.5× 626 0.6× 420 0.6× 56 5.5k
James Caverlee United States 33 2.1k 0.8× 2.5k 1.1× 734 0.5× 867 0.8× 758 1.0× 166 4.6k
Hsinchun Chen United States 57 5.4k 2.1× 4.6k 2.0× 1.5k 1.0× 1.2k 1.1× 1.1k 1.4× 299 11.8k
Qiaozhu Mei United States 39 3.9k 1.5× 2.3k 1.0× 1.3k 0.9× 1.4k 1.3× 411 0.6× 144 6.8k
Ryen W. White United States 52 2.7k 1.1× 5.2k 2.2× 1.3k 0.9× 336 0.3× 471 0.6× 255 9.1k
Marcos André Gonçalves Brazil 38 3.2k 1.2× 2.3k 1.0× 800 0.5× 579 0.5× 641 0.9× 313 5.8k
Ee‐Peng Lim Singapore 45 4.5k 1.8× 4.0k 1.8× 1.5k 1.0× 2.0k 1.8× 1.5k 2.0× 381 9.0k
Aixin Sun Singapore 45 4.9k 1.9× 3.7k 1.6× 678 0.5× 1.1k 1.0× 836 1.1× 223 8.7k
Ed H. United States 49 3.3k 1.3× 3.8k 1.6× 1.8k 1.2× 1.2k 1.1× 684 0.9× 174 9.8k
Ingmar Weber Qatar 40 2.6k 1.0× 1.4k 0.6× 1.8k 1.2× 578 0.5× 290 0.4× 187 6.0k

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-authorship network of co-authors of Daniel Zeng

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

All Works

20 of 20 papers shown
1.
Chai, Yidong, et al.. (2025). Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model. Information Systems Research.
2.
Liang, Jiaqi, et al.. (2025). Demonstration and offset augmented meta reinforcement learning with sparse rewards. Complex & Intelligent Systems. 11(4). 1 indexed citations
3.
He, Saike, et al.. (2024). Modeling the co-diffusion of competing memes in online social networks. Decision Support Systems. 187. 114324–114324. 1 indexed citations
4.
Cao, Zhidong, et al.. (2024). Supply chain loss from easing COVID-19 restrictions: an evolutionary economic-epidemiological modelling study. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 480(2283). 4 indexed citations
5.
6.
Mao, Wenji, et al.. (2023). A cognitive emotion model enhanced sequential method for social emotion cause identification. Information Processing & Management. 60(3). 103305–103305. 4 indexed citations
7.
Cao, Zhidong, et al.. (2021). Demand-driven spreading patterns of African swine fever in China. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(6). 61102–61102. 6 indexed citations
8.
Wang, Zikang, Linjing Li, Daniel Zeng, & Xiaofei Wu. (2021). Incorporating prior knowledge from counterfactuals into knowledge graph reasoning. Knowledge-Based Systems. 223. 107035–107035. 11 indexed citations
9.
Zhou, Hanchu, Qingpeng Zhang, Zhidong Cao, Helai Huang, & Daniel Zeng. (2021). Sustainable targeted interventions to mitigate the COVID-19 pandemic: A big data-driven modeling study in Hong Kong. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(10). 101104–101104. 9 indexed citations
10.
Liang, Jiaqi, Linjing Li, Daniel Zeng, & Yunwei Zhao. (2018). Correlation-based Dynamics and Systemic Risk Measures in the Cryptocurrency Market. 43–48. 9 indexed citations
11.
Li, Linjing, et al.. (2018). HiWalk: Learning node embeddings from heterogeneous networks. Information Systems. 81. 82–91. 5 indexed citations
12.
Zhan, Yongcheng, Ruoran Liu, Qiudan Li, Scott J. Leischow, & Daniel Zeng. (2017). Identifying Topics for E-Cigarette User-Generated Contents: A Case Study From Multiple Social Media Platforms. Journal of Medical Internet Research. 19(1). e24–e24. 66 indexed citations
13.
Li, Xin, et al.. (2016). A Commonsense Knowledge-Enabled Textual Analysis Approach for Financial Market Surveillance. INFORMS journal on computing. 28(2). 278–294. 10 indexed citations
14.
Yang, Yanwu, Yinghui Yang, Dengpan Liu, & Daniel Zeng. (2016). Dynamic Budget Allocation in Competitive Search Advertising. SSRN Electronic Journal. 4 indexed citations
15.
Wang, Fei‐Yue, Daniel Zeng, Christoph Stiller, et al.. (2014). IEEE ITSC 2014. IEEE Intelligent Transportation Systems Magazine. 6(3). 8–9.
16.
Zhang, Zhongfeng, et al.. (2010). Mining user communities from online social network services. 1 indexed citations
17.
Bi, Henry H., et al.. (2010). Process-Driven Collaboration Support for Intra-Agency Crime Analysis. SSRN Electronic Journal. 1 indexed citations
18.
Zhang, Yulei, Yan Dang, Hsinchun Chen, et al.. (2008). BioPortal Infectious Disease Informatics research: disease surveillance and situational awareness. 393–394. 3 indexed citations
19.
Huang, Zan, Daniel Zeng, & Hsinchun Chen. (2007). A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce. IEEE Intelligent Systems. 22(5). 68–78. 136 indexed citations
20.
Chen, Hao, et al.. (2002). COPLINK: visualization and collaboration for law enforcement. International Conference on Digital Government Research. 1–7. 3 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by David M. Pennock Breakdown of academic impact, for papers by James Caverlee Breakdown of academic impact, for papers by Hsinchun Chen Breakdown of academic impact, for papers by Qiaozhu Mei Breakdown of academic impact, for papers by Ryen W. White Breakdown of academic impact, for papers by Marcos André Gonçalves Breakdown of academic impact, for papers by Ee‐Peng Lim Breakdown of academic impact, for papers by Aixin Sun Breakdown of academic impact, for papers by Ed H. Breakdown of academic impact, for papers by Ingmar Weber
Rankless by CCL
2026