Lingfeng Zhang
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- Domain Adaptation and Few-Shot Learning 3
- Sentiment Analysis and Opinion Mining 2
- Machine Learning and ELM 2
- Adversarial Robustness in Machine Learning 2
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- Software Engineering Research 2
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- Software Testing and Debugging Techniques 2
- Software Reliability and Analysis Research 2
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- Radiomics and Machine Learning in Medical Imaging 2
- Journals
- Insights into Imaging (1 paper)Frontiers in Cell and Developmental Biology (1 paper)IEEE Transactions on Cybernetics (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lingfeng Zhang
24 papers receiving 261 citations
Peers
Comparison fields: 5 of 89
- Computational Theory and Mathematics 109
- Toxicology 9
- Safety Research 21
- Pharmacology 22
- Health Informatics 3
Countries citing papers authored by Lingfeng Zhang
This map shows the geographic impact of Lingfeng Zhang'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 Lingfeng Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingfeng Zhang more than expected).
Fields of papers citing papers by Lingfeng Zhang
This network shows the impact of papers produced by Lingfeng Zhang. 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 Lingfeng Zhang. The network helps show where Lingfeng Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lingfeng Zhang, 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 | 2025 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 0 | |
| 15 | Efficacy and safety of sodium oligomannate in the treatment of Alzheimer's disease. | 2022 | 4 |
| 16 | 2022 | 12 | |
| 17 | 2021 | 7 | |
| 18 | 2021 | 126 | |
| 19 | 2016 | 25 | |
| 20 | 2014 | 3 |
About Lingfeng Zhang
Lingfeng Zhang is a scholar working on Software, Biological Psychiatry, Artificial Intelligence, Toxicology and Reproductive Medicine, having authored 30 papers that have together received 266 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Software Engineering Research (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Machine Learning and ELM (2 papers), Adversarial Robustness in Machine Learning (2 papers), Software Testing and Debugging Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Software Reliability and Analysis Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (109 citations), Toxicology (9 citations), Safety Research (21 citations), Pharmacology (22 citations) and Health Informatics (3 citations). Lingfeng Zhang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yanjing Wang, Mingming Jiang, Yitian Fang, Dong‐Qing Wei, Yanyi Chu, Yatong Liu, Bowen Zhao, Yi Xiong, Qiankun Wang and Youjie Zhou. Their work appears in journals such as Insights into Imaging, Frontiers in Cell and Developmental Biology, IEEE Transactions on Cybernetics, Abdominal Radiology and Expert Systems with Applications.
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.