Jiaming Ji
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in ⓘ
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- Reinforcement Learning in Robotics 3
- Natural Language Processing Techniques 1
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- Robotics and Sensor-Based Localization 2
- Co-authors
- Yaodong Yang (5 shared papers)Fangwei Zhong (2 shared papers)Hao Dong (1 shared paper)Zongqing Lu (1 shared paper)Yuhan Chen (1 shared paper)Yixuan Yuan (1 shared paper)Xiangbin Meng (1 shared paper)Qian Zheng (1 shared paper)
- Journals
- Machine Learning (1 paper)Advanced Engineering Materials (1 paper)Sensors (1 paper)Journal of Medical Internet Research (1 paper)Journal of Clinical Anesthesia (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jiaming Ji
11 papers receiving 70 citations
Peers
Comparison fields: 5 of 38
- Health Informatics 14
- Family Practice 2
- Anesthesiology and Pain Medicine 4
- Anatomy 1
- Control and Systems Engineering 16
Countries citing papers authored by Jiaming Ji
This map shows the geographic impact of Jiaming Ji'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 Jiaming Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaming Ji more than expected).
Fields of papers citing papers by Jiaming Ji
This network shows the impact of papers produced by Jiaming Ji. 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 Jiaming Ji. The network helps show where Jiaming Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiaming Ji, 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 | 2024 | 22 | |
| 2 | 2023 | 18 | |
| 3 | 2025 | 7 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 5 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2020 | 2 | |
| 9 | 2012 | 1 | |
| 10 | 2011 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 0 | |
| 13 | Preparation of New High Aluminum Zinc-based Alloy and its Properties | 2010 | 0 |
| 14 | 2022 | 0 | |
| 15 | 2025 | 0 |
About Jiaming Ji
Jiaming Ji is a scholar working on Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 15 papers that have together received 71 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (3 papers), Robotics and Sensor-Based Localization (2 papers), Robot Manipulation and Learning (2 papers), Natural Language Processing Techniques (1 paper), Airway Management and Intubation Techniques (1 paper), Silicone and Siloxane Chemistry (1 paper), Metal and Thin Film Mechanics (1 paper) and Access Control and Trust (1 paper). The work is most often cited by research in Health Informatics (14 citations), Family Practice (2 citations), Anesthesiology and Pain Medicine (4 citations), Anatomy (1 citation) and Control and Systems Engineering (16 citations). Jiaming Ji has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yaodong Yang, Fangwei Zhong, Hao Dong, Zongqing Lu, Yuhan Chen, Yixuan Yuan, Xiangbin Meng, Qian Zheng, Wenxuan Wang and Jiarong Li. Their work appears in journals such as Machine Learning, Advanced Engineering Materials, Sensors, Journal of Medical Internet Research and Journal of Clinical Anesthesia.
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.