Daochen Zha

1.9k total citations · 2 hit papers
38 papers, 652 citations indexed

About

Daochen Zha is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daochen Zha has authored 38 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daochen Zha's work include Anomaly Detection Techniques and Applications (10 papers), Advanced Graph Neural Networks (9 papers) and Recommender Systems and Techniques (5 papers). Daochen Zha is often cited by papers focused on Anomaly Detection Techniques and Applications (10 papers), Advanced Graph Neural Networks (9 papers) and Recommender Systems and Techniques (5 papers). Daochen Zha collaborates with scholars based in United States, China and Hong Kong. Daochen Zha's co-authors include Xia Hu, Kwei-Herng Lai, Kaixiong Zhou, Na Zou, Ninghao Liu, Yalan Yan, Chenliang Li, Yuening Li, Xianjin Zha and Yue Zhao and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Neural Networks and Learning Systems and Machine Learning.

In The Last Decade

Daochen Zha

36 papers receiving 633 citations

Hit Papers

Data-centric Artificial Intelligence: A Survey 2025 2026 2025 2025 10 20 30
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. Data-centric Artificial Intelligence: A Survey
    2025 35 citations Daochen Zha, Kwei-Herng Lai et al. ACM Computing Surveys profile →
  2. Large language models for disease diagnosis: a scoping review
    2025 19 citations Mian Zhang, Yi Fang et al. PubMed profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daochen Zha United States 17 433 121 90 89 88 38 652
Haiyang Yu China 14 511 1.2× 198 1.6× 347 3.9× 75 0.8× 105 1.2× 60 976
Caleb Chen Cao Hong Kong 11 350 0.8× 98 0.8× 125 1.4× 56 0.6× 50 0.6× 24 628
Yanhao Wang China 11 310 0.7× 190 1.6× 148 1.6× 86 1.0× 98 1.1× 70 850
Fariba Sadri United Kingdom 14 751 1.7× 242 2.0× 126 1.4× 57 0.6× 167 1.9× 38 1.1k
Faouzia Benabbou Morocco 13 299 0.7× 55 0.5× 144 1.6× 32 0.4× 37 0.4× 61 563
Xiaorui Liu United States 13 918 2.1× 69 0.6× 216 2.4× 34 0.4× 184 2.1× 30 1.1k
Ingrid Nunes Brazil 12 350 0.8× 185 1.5× 301 3.3× 28 0.3× 49 0.6× 68 667
Nathalie Baracaldo United States 14 880 2.0× 186 1.5× 197 2.2× 78 0.9× 48 0.5× 29 1.1k
László Kovács Hungary 10 288 0.7× 98 0.8× 219 2.4× 48 0.5× 72 0.8× 120 654
Md. Mostafizer Rahman Japan 11 351 0.8× 41 0.3× 198 2.2× 57 0.6× 43 0.5× 28 842

Countries citing papers authored by Daochen Zha

Since Specialization
Citations

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

Fields of papers citing papers by Daochen Zha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daochen Zha

This figure shows the co-authorship network connecting the top 25 collaborators of Daochen Zha. A scholar is included among the top collaborators of Daochen Zha 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 Daochen Zha. Daochen Zha 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.
Zha, Daochen, et al.. (2025). Self-Monitoring Large Language Models for Click-Through Rate Prediction. ACM Transactions on Information Systems. 44(1). 1–25.
2.
Zha, Daochen, Kwei-Herng Lai, Fan Yang, et al.. (2025). Data-centric Artificial Intelligence: A Survey. ACM Computing Surveys. 57(5). 1–42. 35 indexed citations breakdown →
3.
Zhang, Mian, Yi Fang, Sirui Ding, et al.. (2025). Large language models for disease diagnosis: a scoping review. PubMed. 1(1). 9–9. 19 indexed citations breakdown →
4.
Jin, Wei, Haohan Wang, Daochen Zha, et al.. (2024). DCAI: Data-centric Artificial Intelligence. 1482–1485. 2 indexed citations
5.
Liu, Xiao-Yang, Hongyang Yang, Jiechao Gao, et al.. (2024). Dynamic datasets and market environments for financial reinforcement learning. Machine Learning. 113(5). 2795–2839. 14 indexed citations
6.
7.
8.
Zha, Daochen, Kwei-Herng Lai, Fan Yang, et al.. (2023). Data-centric AI: Techniques and Future Perspectives. 5839–5840. 10 indexed citations
9.
Huang, Xiao, et al.. (2023). Active Ensemble Learning for Knowledge Graph Error Detection. 877–885. 11 indexed citations
10.
Zha, Daochen, et al.. (2023). Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 7–17. 17 indexed citations
11.
Lai, Kwei-Herng, Daochen Zha, Ruixiang Tang, et al.. (2023). DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. PubMed. 2023. 5021–5025. 2 indexed citations
12.
Zha, Daochen, et al.. (2023). Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 34. 1414–1420. 1 indexed citations
13.
Zha, Daochen, et al.. (2022). In-Processing Modeling Techniques for Machine Learning Fairness: A Survey. ACM Transactions on Knowledge Discovery from Data. 17(3). 1–27. 53 indexed citations
14.
Lai, Kwei-Herng, et al.. (2021). Revisiting Time Series Outlier Detection: Definitions and Benchmarks. Neural Information Processing Systems. 39 indexed citations
15.
Lai, Kwei-Herng, Daochen Zha, Junjie Xu, et al.. (2021). TODS: An Automated Time Series Outlier Detection System. Proceedings of the AAAI Conference on Artificial Intelligence. 35(18). 16060–16062. 31 indexed citations
16.
Zhou, Kaixiong, Qingquan Song, Xiao Huang, et al.. (2020). Multi-Channel Graph Neural Networks. 1352–1358. 16 indexed citations
17.
Zha, Daochen, Kwei-Herng Lai, Kaixiong Zhou, & Xia Hu. (2019). Experience Replay Optimization. 4243–4249. 51 indexed citations
18.
Zha, Daochen & Chenliang Li. (2018). Multi-label dataless text classification with topic modeling. Knowledge and Information Systems. 61(1). 137–160. 25 indexed citations
19.
Zhang, Huanguo, Juan Wang, Feng Xiao, et al.. (2017). CHAOS: An SDN-Based Moving Target Defense System. Security and Communication Networks. 2017. 1–11. 22 indexed citations
20.
Zha, Xianjin, Jinchao Zhang, Yalan Yan, & Daochen Zha. (2015). Sound information seeking in Web 2.0 virtual communities: the moderating effect of mindfulness. Behaviour and Information Technology. 34(9). 920–935. 19 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.

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