Daochen Zha
Impact in
- Health Informatics top 5%
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Advanced Graph Neural Networks
- Machine Learning and Data Classification
- Topic Modeling
- Reinforcement Learning in Robotics
Papers in
-
- Anomaly Detection Techniques and Applications 10
- Advanced Graph Neural Networks 10
- Domain Adaptation and Few-Shot Learning 4
- Topic Modeling 4
- Machine Learning and Data Classification 4
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- Recommender Systems and Techniques 5
- Co-authors
- Xia Hu (21 shared papers)Kwei-Herng Lai (14 shared papers)Kaixiong Zhou (8 shared papers)Na Zou (6 shared papers)Ninghao Liu (2 shared papers)Chenliang Li (1 shared paper)Yalan Yan (3 shared papers)Yuening Li (5 shared papers)
- Journals
- Behaviour and Information Technology (1 paper)ACM Transactions on Management Information Systems (1 paper)Information Development (1 paper)ACM Computing Surveys (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Daochen Zha
39 papers receiving 815 citations
Daochen Zha's Hit Papers
Peers
Comparison fields: 5 of 104
- Health Informatics 31
- Artificial Intelligence 533
- Signal Processing 120
- Computer Networks and Communications 137
- Safety Research 43
Countries citing papers authored by Daochen Zha
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
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-authors
The 25 scholars most cited alongside Daochen Zha, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 63 | |
| 2 | 2023 | 55 | |
| 3 | 2019 | 55 | |
| 4 | Data-centric Artificial Intelligence: A Survey Hit paper breakdown → | 2025 | 54 |
| 5 | 2020 | 54 | |
| 6 | Revisiting Time Series Outlier Detection: Definitions and Benchmarks | 2021 | 44 |
| 7 | 2020 | 43 | |
| 8 | 2021 | 42 | |
| 9 | Large language models for disease diagnosis: a scoping review Hit paper breakdown → | 2025 | 33 |
| 10 | 2018 | 28 | |
| 11 | 2020 | 27 | |
| 12 | 2022 | 25 | |
| 13 | 2024 | 24 | |
| 14 | 2017 | 22 | |
| 15 | 2015 | 21 | |
| 16 | 2020 | 20 | |
| 17 | 2020 | 20 | |
| 18 | 2023 | 19 | |
| 19 | 2015 | 19 | |
| 20 | 2015 | 19 |
About Daochen Zha
Daochen Zha is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 43 papers that have together received 854 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (10 papers), Advanced Graph Neural Networks (10 papers), Recommender Systems and Techniques (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Topic Modeling (4 papers), Time Series Analysis and Forecasting (4 papers), Machine Learning and Data Classification (4 papers) and Technology Adoption and User Behaviour (3 papers). The work is most often cited by research in Health Informatics (31 citations), Artificial Intelligence (533 citations), Signal Processing (120 citations), Computer Networks and Communications (137 citations) and Safety Research (43 citations). Daochen Zha has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Xia Hu, Kwei-Herng Lai, Kaixiong Zhou, Na Zou, Ninghao Liu, Chenliang Li, Yalan Yan, Yuening Li, Junjie Xu and Fan Yang. Their work appears in journals such as Behaviour and Information Technology, ACM Transactions on Management Information Systems, Information Development, ACM Computing Surveys and ACM Transactions on Knowledge Discovery from Data.
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.