Daqing Yang
Impact in
-
- 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 3
- RNA modifications and cancer 3
- Kruppel-like factors research 1
- Oncology 4
- Cancer-related Molecular Pathways 2
- Co-authors
- Jianfu Xia (7 shared papers)Huiling Chen (2 shared papers)Ali Asghar Heidari (2 shared papers)Zhifang Pan (2 shared papers)Yuyan Chen (1 shared paper)Hongliang Zhang (1 shared paper)Tong Liu (1 shared paper)Hong Zhou (1 shared paper)
- Journals
- Computers in Biology and Medicine (3 papers)Gene (1 paper)BioMed Research International (1 paper)Canadian Journal of Diabetes (1 paper)Food & Function (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Daqing Yang
16 papers receiving 328 citations
Daqing Yang's Hit Papers
Peers
Comparison fields: 5 of 79
- Cancer Research 54
- Artificial Intelligence 106
- Applied Microbiology and Biotechnology 4
- Health Information Management 8
- Oncology 44
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 | 80 |
| 2 | 2021 | 79 | |
| 3 | 2007 | 65 | |
| 4 | 2020 | 22 | |
| 5 | 2018 | 18 | |
| 6 | 2016 | 15 | |
| 7 | 2021 | 13 | |
| 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, Oncology, Surgery, Artificial Intelligence and Cancer Research, having authored 16 papers that have together received 333 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers), AI in cancer detection (2 papers), Cancer-related molecular mechanisms research (2 papers), Medical Imaging and Analysis (2 papers), Cancer-related Molecular Pathways (2 papers), Pancreatic function and diabetes (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Cancer Research (54 citations), Artificial Intelligence (106 citations), Applied Microbiology and Biotechnology (4 citations), Health Information Management (8 citations) and Oncology (44 citations). Daqing Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianfu Xia, Huiling Chen, Ali Asghar Heidari, Zhifang Pan, Yuyan Chen, Hongliang Zhang, Tong Liu, Hong Zhou, Zhifei Wang and Majdi Mafarja. Their work appears in journals such as Computers in Biology and Medicine, Gene, BioMed Research International, Canadian Journal of Diabetes and Food & Function.
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.