Kezhi Li
- Health Information Management top 0.2%
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- Diabetes Management and Research 21
- Health Informatics top 5%
- Analytical Chemistry top 1%
- Analytical chemistry methods development 10
- Pollution top 5%
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- Sparse and Compressive Sensing Techniques 25
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- Blind Source Separation Techniques 17
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- Quantum Information and Cryptography 15
- Machine Learning in Healthcare 8
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- Microwave Imaging and Scattering Analysis 9
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- Analytical Chemistry and Chromatography 7
- Co-authors
- Pantelis GeorgiouPau HerreroTaiyu ZhuMarı́a LlompartMerv FingasChengyuan LiuJohn DanielsShuang Cong
- Journals
- Blood (1 paper)Analytical Chemistry (1 paper)The Science of The Total Environment (1 paper)
- Partner nations
- United KingdomChinaCanada
In The Last Decade
Kezhi Li
113 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Health Information Management 417
- Endocrinology, Diabetes and Metabolism 753
- Health Informatics 48
- Analytical Chemistry 343
- Pollution 212
Countries citing papers authored by Kezhi Li
This map shows the geographic impact of Kezhi Li'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 Kezhi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kezhi Li more than expected).
Fields of papers citing papers by Kezhi Li
This network shows the impact of papers produced by Kezhi Li. 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 Kezhi Li. The network helps show where Kezhi Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kezhi Li, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 4 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 8 | |
| 9 | 2023 | 5 | |
| 10 | Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An >In Silico Validation | 2021 | 60 |
| 11 | 2021 | 34 | |
| 12 | 2021 | 0 | |
| 13 | 2021 | 32 | |
| 14 | 2020 | 7 | |
| 15 | Blood Glucose Prediction for Type 1 Diabetes Using Generative Adversarial Networks. | 2020 | 13 |
| 16 | 2019 | 1 | |
| 17 | Dilated Recurrent Neural Network for Short-time Prediction of Glucose Concentration. | 2018 | 30 |
| 18 | Convolutional Recurrent Neural Networks for Blood Glucose Prediction. | 2018 | 4 |
| 19 | 2016 | 68 | |
| 20 | Reinforcing students' correlation comprehension | 2011 | 3 |
About Kezhi Li
Kezhi Li is a scholar working on Signal Processing, Health Information Management and Computational Mechanics, having authored 126 papers that have together received 2.5k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (25 papers), Diabetes Management and Research (21 papers), Blind Source Separation Techniques (17 papers), Quantum Information and Cryptography (15 papers), Analytical chemistry methods development (10 papers), Microwave Imaging and Scattering Analysis (9 papers), Machine Learning in Healthcare (8 papers) and Analytical Chemistry and Chromatography (7 papers). The work is most often cited by research in Health Information Management (417 citations), Endocrinology, Diabetes and Metabolism (753 citations) and Health Informatics (48 citations). Kezhi Li has collaborated with scholars based in United Kingdom, China and Canada. Frequent co-authors include Pantelis Georgiou, Pau Herrero, Taiyu Zhu, Marı́a Llompart, Merv Fingas, Chengyuan Liu, John Daniels, Shuang Cong, Zhendi Wang and Wenxing Kuang. Their work appears in journals such as Blood, Analytical Chemistry and The Science of The Total Environment.
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.