Xinghao Yang
Impact in
- Pharmaceutical Science top 2%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
- Computational Mathematics top 10%
Papers in
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- Adversarial Robustness in Machine Learning 8
- Topic Modeling 7
- Natural Language Processing Techniques 5
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- Face and Expression Recognition 3
- Video Surveillance and Tracking Methods 3
- Co-authors
- Weifeng Liu (15 shared papers)Dapeng Tao (6 shared papers)Wei Liu (6 shared papers)Jun Cheng (3 shared papers)Dacheng Tao (4 shared papers)Yang Song (1 shared paper)Xin Chen (1 shared paper)Stephen R. Byrn (1 shared paper)
In The Last Decade
Xinghao Yang
34 papers receiving 764 citations
Peers
Comparison fields: 5 of 123
- Pharmaceutical Science 147
- Computational Mathematics 9
- Computer Vision and Pattern Recognition 192
- Media Technology 72
- Signal Processing 66
Countries citing papers authored by Xinghao Yang
This map shows the geographic impact of Xinghao 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 Xinghao Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinghao Yang more than expected).
Fields of papers citing papers by Xinghao Yang
This network shows the impact of papers produced by Xinghao 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 Xinghao Yang. The network helps show where Xinghao Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinghao 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
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 135 | |
| 2 | 2015 | 124 | |
| 3 | 2017 | 96 | |
| 4 | 2017 | 85 | |
| 5 | 2021 | 36 | |
| 6 | 2022 | 31 | |
| 7 | 2011 | 29 | |
| 8 | 2008 | 28 | |
| 9 | 2021 | 26 | |
| 10 | 2013 | 23 | |
| 11 | 2017 | 17 | |
| 12 | 2015 | 16 | |
| 13 | 2020 | 16 | |
| 14 | 2007 | 15 | |
| 15 | 2020 | 15 | |
| 16 | 2014 | 14 | |
| 17 | 2023 | 9 | |
| 18 | 2023 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2023 | 9 |
About Xinghao Yang
Xinghao Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Pharmaceutical Science, Signal Processing and Media Technology, having authored 38 papers that have together received 775 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (8 papers), Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers), Drug Solubulity and Delivery Systems (4 papers), Remote-Sensing Image Classification (4 papers), Advanced Malware Detection Techniques (4 papers), Face and Expression Recognition (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Pharmaceutical Science (147 citations), Computational Mathematics (9 citations), Computer Vision and Pattern Recognition (192 citations), Media Technology (72 citations) and Signal Processing (66 citations). Xinghao Yang has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Weifeng Liu, Dapeng Tao, Wei Liu, Jun Cheng, Dacheng Tao, Yang Song, Xin Chen, Stephen R. Byrn, Haichen Nie and Joseph W. Lubach. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Construction and Building Materials, Information Sciences, Pattern Recognition Letters and SAE technical papers on CD-ROM/SAE technical paper series.
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.