Haochen Yang
Impact in
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- Telecommunications and Broadcasting Technologies
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- Cell Image Analysis Techniques
Papers in
- Co-authors
- Daiwei Zhang (1 shared paper)Katalin Suszták (1 shared paper)Michelle Y. Y. Lee (1 shared paper)Xiaowei Xu (1 shared paper)Edward B. Lee (1 shared paper)Michael D. Feldman (1 shared paper)Jian Hu (1 shared paper)Emma E. Furth (1 shared paper)
- Journals
- Frontiers of Computer Science (1 paper)Angewandte Chemie International Edition (1 paper)Scientific Data (1 paper)Nature Biotechnology (1 paper)Journal of Hazardous Materials (1 paper)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Haochen Yang
9 papers receiving 159 citations
Haochen Yang's Hit Papers
Peers
Comparison fields: 5 of 47
- Media Technology 25
- Biophysics 16
- Business and International Management 2
- Molecular Biology 59
- Cancer Research 12
Countries citing papers authored by Haochen Yang
This map shows the geographic impact of Haochen 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 Haochen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haochen Yang more than expected).
Fields of papers citing papers by Haochen Yang
This network shows the impact of papers produced by Haochen 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 Haochen Yang. The network helps show where Haochen Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haochen 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 | Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology Hit paper breakdown → | 2024 | 89 |
| 2 | 2019 | 54 | |
| 3 | 2025 | 8 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2018 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Haochen Yang
Haochen Yang is a scholar working on Computer Networks and Communications, Information Systems, Health, Toxicology and Mutagenesis, Artificial Intelligence and Electrical and Electronic Engineering, having authored 16 papers that have together received 161 indexed citations. Recurring topics across this work include Click Chemistry and Applications (1 paper), Ferroptosis and cancer prognosis (1 paper), Adversarial Robustness in Machine Learning (1 paper), Flood Risk Assessment and Management (1 paper), Coronary Interventions and Diagnostics (1 paper), Human Pose and Action Recognition (1 paper), Single-cell and spatial transcriptomics (1 paper) and Photoacoustic and Ultrasonic Imaging (1 paper). The work is most often cited by research in Media Technology (25 citations), Biophysics (16 citations), Business and International Management (2 citations), Molecular Biology (59 citations) and Cancer Research (12 citations). Haochen Yang has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Daiwei Zhang, Katalin Suszták, Michelle Y. Y. Lee, Xiaowei Xu, Edward B. Lee, Michael D. Feldman, Jian Hu, Emma E. Furth, Mingyao Li and Hanying Yan. Their work appears in journals such as Frontiers of Computer Science, Angewandte Chemie International Edition, Scientific Data, Nature Biotechnology and Journal of Hazardous Materials.
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.