Daochen Zha
Impact in
- Health Informatics top 5%
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Advanced Graph Neural Networks
- Topic Modeling
- Machine Learning and Data Classification
- Reinforcement Learning in Robotics
Papers in
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- Anomaly Detection Techniques and Applications 10
- Advanced Graph Neural Networks 9
- Domain Adaptation and Few-Shot Learning 4
- Machine Learning and Data Classification 4
- Topic Modeling 4
- Reinforcement Learning in Robotics 3
- Adversarial Robustness in Machine Learning 3
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- Recommender Systems and Techniques 5
- Co-authors
- Xia Hu (19 shared papers)Kwei-Herng Lai (11 shared papers)Kaixiong Zhou (7 shared papers)Na Zou (6 shared papers)Ninghao Liu (2 shared papers)Yalan Yan (3 shared papers)Chenliang Li (1 shared paper)Yuening Li (5 shared papers)
- Journals
- ACM Transactions on Information Systems (1 paper)Machine Learning (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Behaviour and Information Technology (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Daochen Zha
36 papers receiving 633 citations
Daochen Zha's Hit Papers
Peers
Comparison fields: 5 of 94
- Health Informatics 27
- Artificial Intelligence 433
- Signal Processing 89
- Computer Networks and Communications 121
- Computer Vision and Pattern Recognition 88
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 53 | |
| 2 | 2020 | 53 | |
| 3 | 2019 | 51 | |
| 4 | Revisiting Time Series Outlier Detection: Definitions and Benchmarks | 2021 | 39 |
| 5 | Data-centric Artificial Intelligence: A Survey Hit paper breakdown → | 2025 | 35 |
| 6 | 2020 | 34 | |
| 7 | 2021 | 31 | |
| 8 | 2018 | 25 | |
| 9 | 2020 | 23 | |
| 10 | 2017 | 22 | |
| 11 | 2015 | 20 | |
| 12 | 2015 | 19 | |
| 13 | Large language models for disease diagnosis: a scoping review Hit paper breakdown → | 2025 | 19 |
| 14 | 2020 | 19 | |
| 15 | 2023 | 17 | |
| 16 | 2024 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2015 | 15 | |
| 20 | 2022 | 15 |
About Daochen Zha
Daochen Zha is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 38 papers that have together received 652 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (10 papers), Advanced Graph Neural Networks (9 papers), Recommender Systems and Techniques (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Machine Learning and Data Classification (4 papers), Topic Modeling (4 papers), Reinforcement Learning in Robotics (3 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Health Informatics (27 citations), Artificial Intelligence (433 citations), Signal Processing (89 citations), Computer Networks and Communications (121 citations) and Computer Vision and Pattern Recognition (88 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, Yalan Yan, Chenliang Li, Yuening Li, Junjie Xu and Yue Zhao. Their work appears in journals such as ACM Transactions on Information Systems, Machine Learning, IEEE Transactions on Neural Networks and Learning Systems, Behaviour and Information Technology 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.