Qika Lin
Impact in
- Health Informatics top 5%
- Artificial Intelligence top 2%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Machine Learning in Healthcare
Papers in
-
- Advanced Graph Neural Networks 18
- Topic Modeling 15
- Natural Language Processing Techniques 6
- Domain Adaptation and Few-Shot Learning 4
- Sentiment Analysis and Opinion Mining 3
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- Multimodal Machine Learning Applications 5
- Co-authors
- Erik Cambria (9 shared papers)Yifan Zhu (11 shared papers)Rui Mao (6 shared papers)Zhendong Niu (7 shared papers)Jun Liu (13 shared papers)Hao Lü (6 shared papers)Peng Wu (2 shared papers)Lingling Zhang (8 shared papers)
- Journals
- Information Fusion (6 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)IEEE Access (2 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)Information Sciences (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Qika Lin
34 papers receiving 693 citations
Qika Lin's Hit Papers
Peers
Comparison fields: 5 of 89
- Health Informatics 24
- Artificial Intelligence 483
- Management Science and Operations Research 125
- Computer Science Applications 45
- Information Systems 139
Countries citing papers authored by Qika Lin
This map shows the geographic impact of Qika Lin'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 Qika Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qika Lin more than expected).
Fields of papers citing papers by Qika Lin
This network shows the impact of papers produced by Qika Lin. 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 Qika Lin. The network helps show where Qika Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Qika Lin, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2018 | 53 | |
| 3 | 2022 | 49 | |
| 4 | 2021 | 48 | |
| 5 | A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics Hit paper breakdown → | 2025 | 41 |
| 6 | 2024 | 34 | |
| 7 | 2018 | 34 | |
| 8 | 2022 | 31 | |
| 9 | 2023 | 31 | |
| 10 | 2023 | 28 | |
| 11 | 2021 | 28 | |
| 12 | 2023 | 27 | |
| 13 | 2019 | 26 | |
| 14 | 2021 | 24 | |
| 15 | 2022 | 24 | |
| 16 | 2020 | 23 | |
| 17 | 2021 | 23 | |
| 18 | 2025 | 16 | |
| 19 | 2021 | 12 | |
| 20 | 2022 | 12 |
About Qika Lin
Qika Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research and Computer Science Applications, having authored 39 papers that have together received 712 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (18 papers), Topic Modeling (15 papers), Natural Language Processing Techniques (6 papers), Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Online Learning and Analytics (3 papers), Sentiment Analysis and Opinion Mining (3 papers) and Recommender Systems and Techniques (3 papers). The work is most often cited by research in Health Informatics (24 citations), Artificial Intelligence (483 citations), Management Science and Operations Research (125 citations), Computer Science Applications (45 citations) and Information Systems (139 citations). Qika Lin has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Erik Cambria, Yifan Zhu, Rui Mao, Zhendong Niu, Jun Liu, Hao Lü, Peng Wu, Lingling Zhang, Kaize Shi and Pengfei Shi. Their work appears in journals such as Information Fusion, IEEE Transactions on Knowledge and Data Engineering, IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Information Sciences.
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.