Huiqi Deng
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 10%
- Topic Modeling
- Explainable Artificial Intelligence (XAI)
- Machine Learning in Healthcare
- Natural Language Processing Techniques
Papers in
-
- Artificial Intelligence in Healthcare 2
-
- Machine Learning in Healthcare 3
- Explainable Artificial Intelligence (XAI) 3
- Adversarial Robustness in Machine Learning 2
- Anomaly Detection Techniques and Applications 1
- Journals
- ACM Transactions on Intelligent Systems and Technology (1 paper)Alimentary Pharmacology & Therapeutics (1 paper)Pattern Recognition (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)PubMed (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Huiqi Deng
7 papers receiving 321 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Health Informatics 43
- Artificial Intelligence 178
- Health Information Management 14
- Signal Processing 31
- Gastroenterology 16
Countries citing papers authored by Huiqi Deng
This map shows the geographic impact of Huiqi Deng'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 Huiqi Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiqi Deng more than expected).
Fields of papers citing papers by Huiqi Deng
This network shows the impact of papers produced by Huiqi Deng. 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 Huiqi Deng. The network helps show where Huiqi Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Huiqi Deng, 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 | Explainability for Large Language Models: A Survey Hit paper breakdown → | 2024 | 232 |
| 2 | 2021 | 13 | |
| 3 | 2021 | 1 | |
| 4 | 2020 | 22 | |
| 5 | 2019 | 14 | |
| 6 | 2019 | 44 | |
| 7 | A Hybrid Residual Network and Long Short-Term Memory Method for Peptic Ulcer Bleeding Mortality Prediction. | 2018 | 12 |
About Huiqi Deng
Huiqi Deng is a scholar working on Health Information Management, Artificial Intelligence, Signal Processing, Gastroenterology and Biophysics, having authored 7 papers that have together received 338 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Artificial Intelligence in Healthcare (2 papers), Adversarial Robustness in Machine Learning (2 papers), Time Series Analysis and Forecasting (2 papers), Advanced Chemical Sensor Technologies (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Colorectal Cancer Screening and Detection (1 paper). The work is most often cited by research in Health Informatics (43 citations), Artificial Intelligence (178 citations), Health Information Management (14 citations), Signal Processing (31 citations) and Gastroenterology (16 citations). Huiqi Deng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Mengnan Du, Hanjie Chen, Fan Yang, Ninghao Liu, Hengyi Cai, Shuaiqiang Wang, Haiyan Zhao, Pong C. Yuen, J. Andy and Guocan Feng. Their work appears in journals such as ACM Transactions on Intelligent Systems and Technology, Alimentary Pharmacology & Therapeutics, Pattern Recognition, Proceedings of the AAAI Conference on Artificial Intelligence and PubMed.
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.