Minhao Cheng
Impact in
- Artificial Intelligence top 5%
- Adversarial Robustness in Machine Learning
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Natural Language Processing Techniques
- Privacy-Preserving Technologies in Data
- Explainable Artificial Intelligence (XAI)
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Adversarial Robustness in Machine Learning 10
- Topic Modeling 5
- Anomaly Detection Techniques and Applications 4
- Natural Language Processing Techniques 4
- Advanced Graph Neural Networks 3
- Domain Adaptation and Few-Shot Learning 3
-
- Advanced Neural Network Applications 4
- Co-authors
- Cho‐Jui Hsieh (15 shared papers)Pin‐Yu Chen (3 shared papers)Huan Zhang (1 shared paper)Jinfeng Yi (1 shared paper)Yao Li (2 shared papers)Thomas C. M. Lee (1 shared paper)Ruochen Wang (2 shared papers)Felix Yu (1 shared paper)
- Journals
- Energy storage materials (1 paper)World Wide Web (1 paper)BMC Bioinformatics (1 paper)The American Statistician (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Minhao Cheng
27 papers receiving 477 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 394
- Signal Processing 71
- Computer Vision and Pattern Recognition 94
- Computational Mathematics 2
- Health Informatics 4
Countries citing papers authored by Minhao Cheng
This map shows the geographic impact of Minhao Cheng'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 Minhao Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minhao Cheng more than expected).
Fields of papers citing papers by Minhao Cheng
This network shows the impact of papers produced by Minhao Cheng. 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 Minhao Cheng. The network helps show where Minhao Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Minhao Cheng, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 90 | |
| 2 | 2019 | 62 | |
| 3 | 2023 | 50 | |
| 4 | 2021 | 49 | |
| 5 | 2022 | 47 | |
| 6 | 2019 | 29 | |
| 7 | 2020 | 28 | |
| 8 | 2023 | 27 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 15 | |
| 11 | 2023 | 14 | |
| 12 | 2021 | 12 | |
| 13 | Learning from Group Comparisons: Exploiting Higher Order Interactions | 2018 | 11 |
| 14 | 2023 | 10 | |
| 15 | 2024 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2023 | 3 | |
| 20 | 2017 | 2 |
About Minhao Cheng
Minhao Cheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing and Molecular Biology, having authored 29 papers that have together received 498 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (10 papers), Topic Modeling (5 papers), Anomaly Detection Techniques and Applications (4 papers), Natural Language Processing Techniques (4 papers), Advanced Neural Network Applications (4 papers), Advanced Graph Neural Networks (3 papers), Network Security and Intrusion Detection (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Artificial Intelligence (394 citations), Signal Processing (71 citations), Computer Vision and Pattern Recognition (94 citations), Computational Mathematics (2 citations) and Health Informatics (4 citations). Minhao Cheng has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Cho‐Jui Hsieh, Pin‐Yu Chen, Huan Zhang, Jinfeng Yi, Yao Li, Thomas C. M. Lee, Ruochen Wang, Felix Yu, Wen‐Lian Hsu and Wei Wei. Their work appears in journals such as Energy storage materials, World Wide Web, BMC Bioinformatics, The American Statistician and DOAJ (DOAJ: Directory of Open Access Journals).
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.