Daqing Yang
Impact in
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- Cancer-related molecular mechanisms research
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Machine Learning and ELM
- Evolutionary Algorithms and Applications
Papers in
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- Circular RNAs in diseases 2
- RNA modifications and cancer 2
- Surgery 3
- Co-authors
- Jianfu Xia (7 shared papers)Zhifang Pan (2 shared papers)Huiling Chen (2 shared papers)Ali Asghar Heidari (2 shared papers)Hong Zhou (1 shared paper)Tong Liu (1 shared paper)Yuyan Chen (1 shared paper)Hongliang Zhang (1 shared paper)
- Journals
- Computers in Biology and Medicine (3 papers)Gene (1 paper)Journal of Medical Microbiology (1 paper)Biochemical and Biophysical Research Communications (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Daqing Yang
16 papers receiving 340 citations
Daqing Yang's Hit Papers
Peers
Comparison fields: 5 of 77
- Cancer Research 48
- Artificial Intelligence 105
- Applied Microbiology and Biotechnology 4
- Oncology 44
- Emergency Medicine 14
Countries citing papers authored by Daqing Yang
This map shows the geographic impact of Daqing Yang'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 Daqing Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daqing Yang more than expected).
Fields of papers citing papers by Daqing Yang
This network shows the impact of papers produced by Daqing Yang. 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 Daqing Yang. The network helps show where Daqing Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daqing Yang, 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 | Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis Hit paper breakdown → | 2022 | 83 |
| 2 | 2021 | 79 | |
| 3 | 2007 | 69 | |
| 4 | 2020 | 24 | |
| 5 | 2018 | 17 | |
| 6 | 2016 | 17 | |
| 7 | 2021 | 15 | |
| 8 | 2015 | 9 | |
| 9 | 2018 | 8 | |
| 10 | 2020 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2013 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2009 | 1 |
About Daqing Yang
Daqing Yang is a scholar working on Molecular Biology, Surgery, Artificial Intelligence, Cancer Research and Oncology, having authored 16 papers that have together received 345 indexed citations. Recurring topics across this work include Circular RNAs in diseases (2 papers), Cancer-related Molecular Pathways (2 papers), Medical Imaging and Analysis (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), AI in cancer detection (2 papers), Ferroptosis and cancer prognosis (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Cancer Research (48 citations), Artificial Intelligence (105 citations), Applied Microbiology and Biotechnology (4 citations), Oncology (44 citations) and Emergency Medicine (14 citations). Daqing Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianfu Xia, Zhifang Pan, Huiling Chen, Ali Asghar Heidari, Hong Zhou, Tong Liu, Yuyan Chen, Hongliang Zhang, Zhifei Wang and Majdi Mafarja. Their work appears in journals such as Computers in Biology and Medicine, Gene, Journal of Medical Microbiology, Biochemical and Biophysical Research Communications and IEEE Access.
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.