Qiang Ning
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Topic Modeling
- AI in Service Interactions
- Natural Language Processing Techniques
- Machine Learning in Healthcare
Papers in
-
- Topic Modeling 3
- Natural Language Processing Techniques 2
- Advanced Text Analysis Techniques 2
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- Chinese history and philosophy 3
- Co-authors
- Xiang Li (1 shared paper)Bao Ge (1 shared paper)Tianle Han (1 shared paper)Mengshen He (1 shared paper)Jiaming Tian (1 shared paper)Tianming Liu (1 shared paper)Zihao Wu (1 shared paper)Dajiang Zhu (1 shared paper)
- Journals
- Theoretical and Applied Genetics (1 paper)The Journal of Immunology (1 paper)Electromagnetic waves (1 paper)Advances in Manufacturing (1 paper)BMC Oral Health (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Qiang Ning
11 papers receiving 435 citations
Qiang Ning's Hit Papers
Peers
Comparison fields: 5 of 118
- Health Informatics 100
- Artificial Intelligence 221
- Computer Science Applications 28
- Human-Computer Interaction 14
- General Social Sciences 8
Countries citing papers authored by Qiang Ning
This map shows the geographic impact of Qiang Ning'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 Qiang Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Ning more than expected).
Fields of papers citing papers by Qiang Ning
This network shows the impact of papers produced by Qiang Ning. 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 Qiang Ning. The network helps show where Qiang Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Qiang Ning, 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 | Summary of ChatGPT-Related research and perspective towards the future of large language models Hit paper breakdown → | 2023 | 408 |
| 2 | 2012 | 16 | |
| 3 | 2021 | 9 | |
| 4 | 2024 | 6 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 4 | |
| 8 | 2017 | 3 | |
| 9 | 2001 | 2 | |
| 10 | 2007 | 2 | |
| 11 | Gender politics in medieval Chinese buddhist art: Images of empress Wu at Longmen and Dunhuang | 2003 | 1 |
| 12 | 2016 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2025 | 0 |
About Qiang Ning
Qiang Ning is a scholar working on Artificial Intelligence, Sociology and Political Science, Molecular Biology, Anthropology and Computer Networks and Communications, having authored 14 papers that have together received 462 indexed citations. Recurring topics across this work include Chinese history and philosophy (3 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Advanced Text Analysis Techniques (2 papers), Eurasian Exchange Networks (2 papers), Plant Disease Resistance and Genetics (1 paper), Plant Pathogens and Fungal Diseases (1 paper) and Fashion and Cultural Textiles (1 paper). The work is most often cited by research in Health Informatics (100 citations), Artificial Intelligence (221 citations), Computer Science Applications (28 citations), Human-Computer Interaction (14 citations) and General Social Sciences (8 citations). Qiang Ning has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiang Li, Bao Ge, Tianle Han, Mengshen He, Jiaming Tian, Tianming Liu, Zihao Wu, Dajiang Zhu, Zhengliang Liu and Yuanyuan Yang. Their work appears in journals such as Theoretical and Applied Genetics, The Journal of Immunology, Electromagnetic waves, Advances in Manufacturing and BMC Oral Health.
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.