Daizong Ding
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Time Series Analysis and Forecasting
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
-
- Advanced Graph Neural Networks 4
- Anomaly Detection Techniques and Applications 4
- Adversarial Robustness in Machine Learning 3
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- Recommender Systems and Techniques 6
- Co-authors
- Mi Zhang (13 shared papers)Min Yang (8 shared papers)Xudong Pan (10 shared papers)Xiangnan He (4 shared papers)Xiaohan Zhang (1 shared paper)Yinzhi Cao (1 shared paper)Yukun Zhang (1 shared paper)Yuan Zhang (1 shared paper)
- Journals
- Nature Medicine (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Daizong Ding
19 papers receiving 329 citations
Peers
Comparison fields: 5 of 62
- Signal Processing 162
- Software 34
- Computer Networks and Communications 111
- Information Systems 100
- Artificial Intelligence 141
Countries citing papers authored by Daizong Ding
This map shows the geographic impact of Daizong Ding'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 Daizong Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daizong Ding more than expected).
Fields of papers citing papers by Daizong Ding
This network shows the impact of papers produced by Daizong Ding. 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 Daizong Ding. The network helps show where Daizong Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Daizong Ding, 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 | 2020 | 117 | |
| 2 | 2019 | 89 | |
| 3 | 2017 | 38 | |
| 4 | 2021 | 17 | |
| 5 | 2018 | 14 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 8 | |
| 8 | 2022 | 8 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2017 | 5 | |
| 13 | 2025 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 |
About Daizong Ding
Daizong Ding is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Management Science and Operations Research and Statistical and Nonlinear Physics, having authored 19 papers that have together received 335 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (4 papers), Anomaly Detection Techniques and Applications (4 papers), Adversarial Robustness in Machine Learning (3 papers), Complex Network Analysis Techniques (3 papers), Human Mobility and Location-Based Analysis (3 papers), Stock Market Forecasting Methods (2 papers) and Energy Load and Power Forecasting (2 papers). The work is most often cited by research in Signal Processing (162 citations), Software (34 citations), Computer Networks and Communications (111 citations), Information Systems (100 citations) and Artificial Intelligence (141 citations). Daizong Ding has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Mi Zhang, Min Yang, Xudong Pan, Xiangnan He, Xiaohan Zhang, Yinzhi Cao, Yukun Zhang, Yuan Zhang, Mi Zhang and Fuli Feng. Their work appears in journals such as Nature Medicine, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.